- 1. A cover letter
- 2. Full CV and list of publications
- 3. Two reference letters.
If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email.
✔️ @ApplyTime
- 2. Full CV and list of publications
- 3. Two reference letters.
If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email.
✔️ @ApplyTime
Multiple PhD and postdoctoral positions @ University of Stuttgart / CyberValley
The Machine Learning and Simulation Science (MLSim) research group is led by Mathias Niepert, a full professor (W3) at the University of Stuttgart (official start date: 1/1/2022). Homepage: https://matlog.net
The group will be part of the Cluster of Excellence for the Simulation Sciences (SimTech) and the department of Computer Science at the University of Stuttgart. Mathias is also a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and his professorship will be part of the wider CyberValley ecosystem. The University of Stuttgart has also a unit in the ELLIS network.
The MLSim group is working on core machine learning research with a focus on graph neural networks and geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, ICLR) please take a look at the publication section of this website and visit our video channel.
For more information about Mathias Niepert and the MLSim group, please visit the following website: https://matlog.net/phd-postdoc.html
The MLSim group has multiple PhD positions (100% TV-L E13) open:
If you have a Master's degree you can apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de, clearly indicating that you are applying to the group of Mathias Niepert. The Master's degree should be related to ML/AI topics or in physics/engineering/the simulation sciences. The research statement should outline some prior work and the kind of research you would be excited to conduct in the future. Please make sure that it relates your interests and goals to the publications and research topics (see above) of the group. Please note that PhDs in Germany are not considered students but are full-time employees of the university with social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022.
Feel free to reach out to me personally (mniepert at gmail dot com) if you have questions about the positions and/or life in Germany.
Postdoctoral position (100% TV-L E13/A13)
The MLSim group has a postdoc position available. Please apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de. Clearly indicate that you are applying to the group of Mathias Niepert. The research statement should outline prior work and the kind of research you would be excited to work on. Please make sure that the statement relates your interests and future goals to the publications and topics (see above) of the group. Postdoctoral researchers in Germany are full-time employees of the university with comprehensive social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022. Please feel free to reach out to me if you have any questions about the position and/or life in Germany.
✔️ @ApplyTime
The Machine Learning and Simulation Science (MLSim) research group is led by Mathias Niepert, a full professor (W3) at the University of Stuttgart (official start date: 1/1/2022). Homepage: https://matlog.net
The group will be part of the Cluster of Excellence for the Simulation Sciences (SimTech) and the department of Computer Science at the University of Stuttgart. Mathias is also a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and his professorship will be part of the wider CyberValley ecosystem. The University of Stuttgart has also a unit in the ELLIS network.
The MLSim group is working on core machine learning research with a focus on graph neural networks and geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, ICLR) please take a look at the publication section of this website and visit our video channel.
For more information about Mathias Niepert and the MLSim group, please visit the following website: https://matlog.net/phd-postdoc.html
The MLSim group has multiple PhD positions (100% TV-L E13) open:
If you have a Master's degree you can apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de, clearly indicating that you are applying to the group of Mathias Niepert. The Master's degree should be related to ML/AI topics or in physics/engineering/the simulation sciences. The research statement should outline some prior work and the kind of research you would be excited to conduct in the future. Please make sure that it relates your interests and goals to the publications and research topics (see above) of the group. Please note that PhDs in Germany are not considered students but are full-time employees of the university with social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022.
Feel free to reach out to me personally (mniepert at gmail dot com) if you have questions about the positions and/or life in Germany.
Postdoctoral position (100% TV-L E13/A13)
The MLSim group has a postdoc position available. Please apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de. Clearly indicate that you are applying to the group of Mathias Niepert. The research statement should outline prior work and the kind of research you would be excited to work on. Please make sure that the statement relates your interests and future goals to the publications and topics (see above) of the group. Postdoctoral researchers in Germany are full-time employees of the university with comprehensive social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022. Please feel free to reach out to me if you have any questions about the position and/or life in Germany.
✔️ @ApplyTime
Postdoctoral Researcher position at Microsoft Research New York City in FATE
Dear colleagues –
The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City (MSR NYC) is looking for a Postdoctoral Researcher to start July 2022 (deadline December 15 for full consideration). This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the societal implications of AI and machine learning.
Job Posting: https://careers.microsoft.com/us/en/job/1200448/Post-Doc-Researcher-FATE-Microsoft-Research
FATE Group: https://www.microsoft.com/en-us/research/group/fate/
The Postdoctoral Researcher will have the opportunity to pursue
their own research agenda while interacting with prominent researchers and
practitioners. The FATE research group at MSR NYC currently includes Solon
Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna
Wallach, and Jennifer Wortman Vaughan, and has close collaborations with
researchers at MSR FATE Montréal (Nicolas Le Roux, Q. Vera Liao, Alexandra
Olteanu, and Koustuv Saha) as well as other parts of Microsoft. The Postdoc
will also receive a competitive salary and benefits package and are eligible
for relocation expenses.
We are also hiring a postdoc whose work bridges machine learning
any any of our other focus areas (including FATE), which you may also be
interested in: https://careers.microsoft.com/us/en/job/1196274/Post-Doc-Researcher-Machine-Learning-Interdisciplinary-Microsoft-Research. And we're also looking for
interns: https://careers.microsoft.com/us/en/job/1191774/Research-Intern-Fairness-Accountability-Transparency-and-Ethics
Microsoft Research offers an exhilarating and supportive
environment for cutting-edge, multidisciplinary research, both theoretical and
applied, with access to an extraordinary diversity of data sources, an open
publications policy, and close links to top academic institutions around the
world.
We seek applicants with a demonstrated interest in FATE-related
topics and a desire to work in a highly interdisciplinary environment that
includes researchers from computer science, statistics, social sciences,
humanities, and other fields. Applicants should have a well-established
research track record, evidenced by notable journal or conference publications
and broader contributions to the research community.
We welcome candidates with a background in a technical field (such
as machine learning, AI, statistics, NLP, computer vision, and related fields)
as well as candidates with a socio-technical orientation (such as those in HCI,
information science, sociology, anthropology, science and technology studies,
media studies, law, history of science, and related fields).
Applicants must have completed their PhD, including submission of
their dissertation, prior to joining MSR NYC (i.e., dissertation submitted, and
degree preferably conferred by July 2022). We encourage candidates with
tenure-track job offers from other institutions to apply, provided they are
able to defer their start date by at least one year to accept our position.
We are committed to building an inclusive, diverse, and
pluralistic research environment and strongly encourage applications from
women, minorities, individuals with disabilities, veterans, as well as students
with non-traditional backgrounds. We work collectively to make Microsoft
Research a welcoming and conducive space for all researchers.
To be assured of full consideration, all application materials,
including reference letters, need to be received by December 15, 2021.
Applications received after that date may or may not be considered.
Please feel free to contact Hal Daumé [email protected]
or Kate Crawford [email protected] (or
any other member of the group) if you have any questions.
✔️ @ApplyTime
Dear colleagues –
The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City (MSR NYC) is looking for a Postdoctoral Researcher to start July 2022 (deadline December 15 for full consideration). This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the societal implications of AI and machine learning.
Job Posting: https://careers.microsoft.com/us/en/job/1200448/Post-Doc-Researcher-FATE-Microsoft-Research
FATE Group: https://www.microsoft.com/en-us/research/group/fate/
The Postdoctoral Researcher will have the opportunity to pursue
their own research agenda while interacting with prominent researchers and
practitioners. The FATE research group at MSR NYC currently includes Solon
Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna
Wallach, and Jennifer Wortman Vaughan, and has close collaborations with
researchers at MSR FATE Montréal (Nicolas Le Roux, Q. Vera Liao, Alexandra
Olteanu, and Koustuv Saha) as well as other parts of Microsoft. The Postdoc
will also receive a competitive salary and benefits package and are eligible
for relocation expenses.
We are also hiring a postdoc whose work bridges machine learning
any any of our other focus areas (including FATE), which you may also be
interested in: https://careers.microsoft.com/us/en/job/1196274/Post-Doc-Researcher-Machine-Learning-Interdisciplinary-Microsoft-Research. And we're also looking for
interns: https://careers.microsoft.com/us/en/job/1191774/Research-Intern-Fairness-Accountability-Transparency-and-Ethics
Microsoft Research offers an exhilarating and supportive
environment for cutting-edge, multidisciplinary research, both theoretical and
applied, with access to an extraordinary diversity of data sources, an open
publications policy, and close links to top academic institutions around the
world.
We seek applicants with a demonstrated interest in FATE-related
topics and a desire to work in a highly interdisciplinary environment that
includes researchers from computer science, statistics, social sciences,
humanities, and other fields. Applicants should have a well-established
research track record, evidenced by notable journal or conference publications
and broader contributions to the research community.
We welcome candidates with a background in a technical field (such
as machine learning, AI, statistics, NLP, computer vision, and related fields)
as well as candidates with a socio-technical orientation (such as those in HCI,
information science, sociology, anthropology, science and technology studies,
media studies, law, history of science, and related fields).
Applicants must have completed their PhD, including submission of
their dissertation, prior to joining MSR NYC (i.e., dissertation submitted, and
degree preferably conferred by July 2022). We encourage candidates with
tenure-track job offers from other institutions to apply, provided they are
able to defer their start date by at least one year to accept our position.
We are committed to building an inclusive, diverse, and
pluralistic research environment and strongly encourage applications from
women, minorities, individuals with disabilities, veterans, as well as students
with non-traditional backgrounds. We work collectively to make Microsoft
Research a welcoming and conducive space for all researchers.
To be assured of full consideration, all application materials,
including reference letters, need to be received by December 15, 2021.
Applications received after that date may or may not be considered.
Please feel free to contact Hal Daumé [email protected]
or Kate Crawford [email protected] (or
any other member of the group) if you have any questions.
✔️ @ApplyTime
Microsoft
Post Doc Researcher – FATE – Microsoft Research in New York, New York, United States | Research at Microsoft
Apply for Post Doc Researcher – FATE – Microsoft Research job with Microsoft in New York, New York, United States. Research at Microsoft
3 PhD and 3 PostDoc positions in Geometry, Probability and Deep Learning at NTU Singapore
Expressions of interest are invited for 3 doctoral and 3 postdoctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an excellent research background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.
The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The postdoctoral positions are for 2 years with optional prolongation to 3 years, and the doctoral positions for 2-5 years. All positions come with an attractive salary package. The expected starting date is mid 2022.
If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms <[email protected]> as soon as possible. The search will continue until the positions are filled.
✔️ @ApplyTime
Expressions of interest are invited for 3 doctoral and 3 postdoctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an excellent research background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.
The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The postdoctoral positions are for 2 years with optional prolongation to 3 years, and the doctoral positions for 2-5 years. All positions come with an attractive salary package. The expected starting date is mid 2022.
If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms <[email protected]> as soon as possible. The search will continue until the positions are filled.
✔️ @ApplyTime
PhD position in computational biology, Aalto University, Finland
Hi,
We have an open PhD position in computational biology at the department of Computer Science, Aalto University, Finland. See
https://www.jobs.ac.uk/job/CLI570/phd-position-in-computer-science
The PhD project is to develop computational methods to study multimodality and dynamics in single cell data. The Phd advisors are Dr Lu Cheng (https://scholar.google.fi/citations?user=Zy14QK0AAAAJ&hl=en) and Prof. Aki Vehtari (https://users.aalto.fi/~ave/).
The salary is 2300-3000 eur/month.
The position starts from January 1, 2022 or later.
Lu Cheng
Academy Research Fellow
Department of Computer Science
Aalto University, Finland
✔️ @ApplyTime
Hi,
We have an open PhD position in computational biology at the department of Computer Science, Aalto University, Finland. See
https://www.jobs.ac.uk/job/CLI570/phd-position-in-computer-science
The PhD project is to develop computational methods to study multimodality and dynamics in single cell data. The Phd advisors are Dr Lu Cheng (https://scholar.google.fi/citations?user=Zy14QK0AAAAJ&hl=en) and Prof. Aki Vehtari (https://users.aalto.fi/~ave/).
The salary is 2300-3000 eur/month.
The position starts from January 1, 2022 or later.
Lu Cheng
Academy Research Fellow
Department of Computer Science
Aalto University, Finland
✔️ @ApplyTime
www.jobs.ac.uk
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Openings - research collaborator (PhD / postdoc) in representation learning, Center for Artificial Intelligence and Robotics, University of Applied Sciences Würzburg-Schweinfurt
Dear all,
I have research collaborator (PhD or postdoc level) positions available at the newly established Center for Artificial Intelligence and Robotics (CAIRO) of the University of Applied Sciences Würzburg-Schweinfurt (FHWS), Germany.
Preferred research topics include (but are not limited to) generative models (VAE, INN, etc.) for density estimation and representation learning for downstream tasks (such as learned compression, inverse problems and uncertainty calibration), and few shot learning aimed at robotic applications.
The positions are German TVL13 with expected net salary 2000-2600EUR, based in Würzburg, Germany (in the northwest of Bavaria). The contract duration is 4 yrs for the PhD, 2-3yrs for postdoc. The PhD shall be co-supervised by another university professor (tbd based on the research topic). The successful candidate shall join the research team of CAIRO, a new data science competence center of the Bavarian-AI network founded at the FHWS under the Hightech Agenda Bayern. The candidate shall benefit from research collaboration opportunities within the CAIRO center as well as with other research centers in the Institut Digital Engineering (IDEE) of FHWS.
I seek strongly motivated self-driven candidates wishing to develop their research competences (ample training opportunities), and dedicate to delivering solid research results. The PhD candidates shall have good background in math, probability and statistics, programming and preferably at least basics of ML/DL. They shall hold a MSc degree (or be close to obtaining one) in a technical field with these in the curriculum. The postdoc candidate shall have relevant publication record and be able to outline and develop research in ML/DL. Excellent level of spoken and written English is a must.
Interested candidates shall sent to [email protected] by 31st December 2021:
1. Academic CV (including list of publications)
2. Academic transcript (BSc, MSc)
3. Motivation letter (500words)
4. Research proposal (500words)
5. Contact details of 2 referees (no need for reference letters)
Should you have any questions, do not hesitate to contact me at [email protected]
Magda
--
About CAIRO: Center for Artificial Intelligence and Robotics is a new research center established at the FHWS under the Hightech Agenda Bayern. The objective of the Center is to take up current topics in artificial intelligence and research them for the sake of society while facilitating effective knowledge transfer to the practical domain within various industry sectors. The focus is also on a more holistic understanding of AI – as opposed to isolated individual scenarios, which is the typical practice today. Ethical and legal aspects of AI will play an important role.
--
About Würzburg: The city of Würzburg is located in Lower Franconia in the northwest of Bavaria and is well-known for its exquisite wines. With 130,000 inhabitants, Würzburg is not the largest city in Bavaria, but it sure has a lot to offer! In addition to flourishing culture and entertainment, Würzburg is characterised by its vineyards, the central Ringpark and the riverbank of the Main. The river extends several kilometres through the city and invites you to relax on the banks with its numerous trees and meadows.
--
--
Prof. Dr. Magda Gregorová
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt
Fakultät Informatik und Wirtschaftsinformatik
Kompetenzzentrum für Künstliche Intelligenz und Robotik
University of Applied Sciences Würzburg-Schweinfurt
Faculty Computer Science and Business Information Systems
CAIRO - Center for Artificial Intelligence and Robotics✔️ @ApplyTime
Dear all,
I have research collaborator (PhD or postdoc level) positions available at the newly established Center for Artificial Intelligence and Robotics (CAIRO) of the University of Applied Sciences Würzburg-Schweinfurt (FHWS), Germany.
Preferred research topics include (but are not limited to) generative models (VAE, INN, etc.) for density estimation and representation learning for downstream tasks (such as learned compression, inverse problems and uncertainty calibration), and few shot learning aimed at robotic applications.
The positions are German TVL13 with expected net salary 2000-2600EUR, based in Würzburg, Germany (in the northwest of Bavaria). The contract duration is 4 yrs for the PhD, 2-3yrs for postdoc. The PhD shall be co-supervised by another university professor (tbd based on the research topic). The successful candidate shall join the research team of CAIRO, a new data science competence center of the Bavarian-AI network founded at the FHWS under the Hightech Agenda Bayern. The candidate shall benefit from research collaboration opportunities within the CAIRO center as well as with other research centers in the Institut Digital Engineering (IDEE) of FHWS.
I seek strongly motivated self-driven candidates wishing to develop their research competences (ample training opportunities), and dedicate to delivering solid research results. The PhD candidates shall have good background in math, probability and statistics, programming and preferably at least basics of ML/DL. They shall hold a MSc degree (or be close to obtaining one) in a technical field with these in the curriculum. The postdoc candidate shall have relevant publication record and be able to outline and develop research in ML/DL. Excellent level of spoken and written English is a must.
Interested candidates shall sent to [email protected] by 31st December 2021:
1. Academic CV (including list of publications)
2. Academic transcript (BSc, MSc)
3. Motivation letter (500words)
4. Research proposal (500words)
5. Contact details of 2 referees (no need for reference letters)
Should you have any questions, do not hesitate to contact me at [email protected]
Magda
--
About CAIRO: Center for Artificial Intelligence and Robotics is a new research center established at the FHWS under the Hightech Agenda Bayern. The objective of the Center is to take up current topics in artificial intelligence and research them for the sake of society while facilitating effective knowledge transfer to the practical domain within various industry sectors. The focus is also on a more holistic understanding of AI – as opposed to isolated individual scenarios, which is the typical practice today. Ethical and legal aspects of AI will play an important role.
--
About Würzburg: The city of Würzburg is located in Lower Franconia in the northwest of Bavaria and is well-known for its exquisite wines. With 130,000 inhabitants, Würzburg is not the largest city in Bavaria, but it sure has a lot to offer! In addition to flourishing culture and entertainment, Würzburg is characterised by its vineyards, the central Ringpark and the riverbank of the Main. The river extends several kilometres through the city and invites you to relax on the banks with its numerous trees and meadows.
--
--
Prof. Dr. Magda Gregorová
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt
Fakultät Informatik und Wirtschaftsinformatik
Kompetenzzentrum für Künstliche Intelligenz und Robotik
University of Applied Sciences Würzburg-Schweinfurt
Faculty Computer Science and Business Information Systems
CAIRO - Center for Artificial Intelligence and Robotics✔️ @ApplyTime
PostDoc Position | Deadline: 9 January
For your research, you will collaborate with Prof. Karen Phalet and her collaborator(s), who are all part of the research Center for Social and Cultural Psychology at the Faculty of Psychology and Educational Sciences. Their research group is an international and performant research environment, consisting of 5 professors and 18 PhD students and postdocs.
Responsibilities
Because a growing number of people are seeking international protection, it is urgent to examine how their adjustment to the receiving countries can be facilitated. Migration trajectories of asylum seekers and refugees (i.e., displaced migrants) are often marked by broken relationships, loss of social support, and cumulated social exclusions. At the cross-roads of social, cultural and political psychology, this project employs an ego-centered social network approach and examines proximal social environments as spaces enabling resilience of displaced migrants, while concurrently sustaining host society members' engagement in solidarity-based actions in support of displaced migrants. The RESONET project is supported by a multilateral funding scheme uniting the Katholieke Universiteit Leuven, Université Libre de Bruxelles, and Université de Lausanne, to investigate from different theoretical and methodological angles how intercultural ties between displaced migrants and host society members are created and sustained.
Profile
A doctoral degree in social psychology, sociology, anthropology, or a closely related field
Excellent knowledge of qualitative methods, such as content analysis
Competence in discourse analysis, dyadic interviewing or social networks analysis is an asset
Research interest and/or expertise in migration studies
Knowledge and/or connectedness with solidarity initiatives in Belgium is an asset
Fluent in Dutch and English (written and oral).
Knowledge of French, Arabic or Pashto is an asset (but not a requirement)
Ability to work well in teams and engage in fieldwork activities
Offer
A two-years full-time post-doctoral position open at the Center of Social and Cultural Psychology to study relational challenges and opportunities in emerging social ties between volunteers engaged in solidarity initiatives and displaced migrants.
A supportive and challenging international research and training environment at their university, bringing together social and cultural psychologists from diverse backgrounds with a common interest and agenda in researching diversity, inequality and inclusion/exclusion. You will also be part of ResoNET, an interuniversity and international collaborative project team with 5 senior researchers and 3 experienced researchers.
Interested?
For more information please contact dr. Emanuele Politi, tel.: +32 16 32 79 05, mail: [email protected] or Prof. dr. Karen Phalet, tel.: +32 16 32 62 17, mail: [email protected].
You can apply for this job no later than January 09, 2022 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact their at [email protected].
@ApplyTime
For your research, you will collaborate with Prof. Karen Phalet and her collaborator(s), who are all part of the research Center for Social and Cultural Psychology at the Faculty of Psychology and Educational Sciences. Their research group is an international and performant research environment, consisting of 5 professors and 18 PhD students and postdocs.
Responsibilities
Because a growing number of people are seeking international protection, it is urgent to examine how their adjustment to the receiving countries can be facilitated. Migration trajectories of asylum seekers and refugees (i.e., displaced migrants) are often marked by broken relationships, loss of social support, and cumulated social exclusions. At the cross-roads of social, cultural and political psychology, this project employs an ego-centered social network approach and examines proximal social environments as spaces enabling resilience of displaced migrants, while concurrently sustaining host society members' engagement in solidarity-based actions in support of displaced migrants. The RESONET project is supported by a multilateral funding scheme uniting the Katholieke Universiteit Leuven, Université Libre de Bruxelles, and Université de Lausanne, to investigate from different theoretical and methodological angles how intercultural ties between displaced migrants and host society members are created and sustained.
Profile
A doctoral degree in social psychology, sociology, anthropology, or a closely related field
Excellent knowledge of qualitative methods, such as content analysis
Competence in discourse analysis, dyadic interviewing or social networks analysis is an asset
Research interest and/or expertise in migration studies
Knowledge and/or connectedness with solidarity initiatives in Belgium is an asset
Fluent in Dutch and English (written and oral).
Knowledge of French, Arabic or Pashto is an asset (but not a requirement)
Ability to work well in teams and engage in fieldwork activities
Offer
A two-years full-time post-doctoral position open at the Center of Social and Cultural Psychology to study relational challenges and opportunities in emerging social ties between volunteers engaged in solidarity initiatives and displaced migrants.
A supportive and challenging international research and training environment at their university, bringing together social and cultural psychologists from diverse backgrounds with a common interest and agenda in researching diversity, inequality and inclusion/exclusion. You will also be part of ResoNET, an interuniversity and international collaborative project team with 5 senior researchers and 3 experienced researchers.
Interested?
For more information please contact dr. Emanuele Politi, tel.: +32 16 32 79 05, mail: [email protected] or Prof. dr. Karen Phalet, tel.: +32 16 32 62 17, mail: [email protected].
You can apply for this job no later than January 09, 2022 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact their at [email protected].
@ApplyTime
Doctoral Researcher | Deadline: 5 January
For the Research Group “Varieties of Reproduction Regimes” (headed by Dr. Hannah Zagel) the WZB Berlin Social Science Center invites applications for the fixed-term position as a Doctoral Researcher (f/m/x) from 1 April 2022 to 31 March 2025 with the possibility of extension for a further year (subject to funding) at 65% of the regular working hours (currently 25.35 hrs./week).
The WZB Berlin Social Science Center is a publicly financed research institution that conducts leading edge theory-based and problem-oriented social science research (https://www.wzb.eu/en). WZB researchers come from across the globe and work across social science disciplines including sociology, political science, economics, law, and psychology. A member of the Leibniz Association, WZB’s research is directed at the science community, policy makers, the media and the general public.
The research group seeks to understand the interplay of policies regulating reproduction, inequalities and norms from a comparative perspective. Particular attention will be paid to the role of policies and regulations to shape patterns of reproduction differentially across social groups, and to affect norms around reproduction and family. These goals will be pursued through theoretically informed comparative analyses, using a variety of methods and international data sources as well as a new database of reproduction policies, which will be built in the project.
Tasks
The position involves participation in developing and answering research questions within the project’s larger framework of reproduction policies and their outcomes. The successful candidate will be expected to contribute to the work of the group through intellectual exchange, the development and implementation of independent and collaborative research projects, the presentation of their work at national and international conferences and workshops, and the publication of results, preferably in peer-reviewed English-language journals. Further qualification towards a doctoral degree is highly welcome.
For the Research Group “Varieties of Reproduction Regimes” (headed by Dr. Hannah Zagel) the WZB Berlin Social Science Center invites applications for the fixed-term position as a Doctoral Researcher (f/m/x) from 1 April 2022 to 31 March 2025 with the possibility of extension for a further year (subject to funding) at 65% of the regular working hours (currently 25.35 hrs./week).
The WZB Berlin Social Science Center is a publicly financed research institution that conducts leading edge theory-based and problem-oriented social science research (https://www.wzb.eu/en). WZB researchers come from across the globe and work across social science disciplines including sociology, political science, economics, law, and psychology. A member of the Leibniz Association, WZB’s research is directed at the science community, policy makers, the media and the general public.
The research group seeks to understand the interplay of policies regulating reproduction, inequalities and norms from a comparative perspective. Particular attention will be paid to the role of policies and regulations to shape patterns of reproduction differentially across social groups, and to affect norms around reproduction and family. These goals will be pursued through theoretically informed comparative analyses, using a variety of methods and international data sources as well as a new database of reproduction policies, which will be built in the project.
Tasks
The position involves participation in developing and answering research questions within the project’s larger framework of reproduction policies and their outcomes. The successful candidate will be expected to contribute to the work of the group through intellectual exchange, the development and implementation of independent and collaborative research projects, the presentation of their work at national and international conferences and workshops, and the publication of results, preferably in peer-reviewed English-language journals. Further qualification towards a doctoral degree is highly welcome.
Requirements
Excellent academic credentials (master’s degree or equivalent) in sociology or another social science (political science, social policy, public health, demography). Applicants who have not completed their master’s degree by the time of application should include a statement from their supervisor confirming the expected date of graduation.
Very good knowledge of
either quantitative research methods including techniques of data processing and statistical analysis (Stata and/or R); experience with complex data structures (multilevel/longitudinal data) is a plus,
or comparative case studies using quantitative or qualitative methods (including but not limited to policy analysis, document analysis, QCA).
Good knowledge of theories and current comparative empirical research on policies and/or social inequalities in at least one of the areas relevant to the research group (reproduction, health, family, gender)
Excellent English language skills in speech and writing (knowledge of German is not required).
Their offer
Remuneration in accordance with EG 13 TVöD Bund (German public service collective agreement)
Additional benefits for public service employees (VBL U)
A well-equipped workplace in the center of Berlin
International, cooperative, and diversified working environment
In-depth integration into the scientific community in the form of colloquiums and conferences
Thorough instruction and guidance
Flexible working hours
They promote a good work-life balance, and their engagement has been certified by audit workandfamily and the European Commission’s Human Resources Strategy for Researchers (HRS4R)
Comprehensive program for continuous professional development and further qualification, in the own discipline and beyond
Cafeteria with modern recreation rooms
Discounted VBB company ticket
Applications should consist of a cover letter, curriculum vitae, sketch of a research idea related to the programme of the group (1-2 pages), work sample (seminar paper or thesis), bachelor’s and master’s certificates, and official transcripts of coursework. Applications should only be submitted electronically as a PDF file no later than 5 January 2022 through the WZB’s application portal. Job interviews will take place on the 19-21 January 2022, likely on Zoom.
Further inquiries should be made to Dr. Hannah Zagel: [email protected].
For more information about the research group “Varieties of Reproduction Regimes”, follow this link https://www.wzb.eu/en/research/dynamics-of-social-inequalities/varieties-of-reproduction-regimes.
✔️ @ApplyTime
Excellent academic credentials (master’s degree or equivalent) in sociology or another social science (political science, social policy, public health, demography). Applicants who have not completed their master’s degree by the time of application should include a statement from their supervisor confirming the expected date of graduation.
Very good knowledge of
either quantitative research methods including techniques of data processing and statistical analysis (Stata and/or R); experience with complex data structures (multilevel/longitudinal data) is a plus,
or comparative case studies using quantitative or qualitative methods (including but not limited to policy analysis, document analysis, QCA).
Good knowledge of theories and current comparative empirical research on policies and/or social inequalities in at least one of the areas relevant to the research group (reproduction, health, family, gender)
Excellent English language skills in speech and writing (knowledge of German is not required).
Their offer
Remuneration in accordance with EG 13 TVöD Bund (German public service collective agreement)
Additional benefits for public service employees (VBL U)
A well-equipped workplace in the center of Berlin
International, cooperative, and diversified working environment
In-depth integration into the scientific community in the form of colloquiums and conferences
Thorough instruction and guidance
Flexible working hours
They promote a good work-life balance, and their engagement has been certified by audit workandfamily and the European Commission’s Human Resources Strategy for Researchers (HRS4R)
Comprehensive program for continuous professional development and further qualification, in the own discipline and beyond
Cafeteria with modern recreation rooms
Discounted VBB company ticket
Applications should consist of a cover letter, curriculum vitae, sketch of a research idea related to the programme of the group (1-2 pages), work sample (seminar paper or thesis), bachelor’s and master’s certificates, and official transcripts of coursework. Applications should only be submitted electronically as a PDF file no later than 5 January 2022 through the WZB’s application portal. Job interviews will take place on the 19-21 January 2022, likely on Zoom.
Further inquiries should be made to Dr. Hannah Zagel: [email protected].
For more information about the research group “Varieties of Reproduction Regimes”, follow this link https://www.wzb.eu/en/research/dynamics-of-social-inequalities/varieties-of-reproduction-regimes.
✔️ @ApplyTime
WZB
Varieties of reproduction regimes: institutions, norms and social inequality
Emmy Noether Junior Research Group
Postdoc Position on the design of a new
type of robotized intracochlear electrode holder at LIRMM-Montpellier
The LIRMM, the Montpellier University Hospital (CHU) and INSERM are
looking for a talented Postdoc candidate to work on the design of a new
type of robotized intracochlear electrode holder.
Context:
Cochlear implant is the first functional implantable neuroprosthestic
device in human. It restores the auditory perception in people with
severe to profound deafness. The implantation of such a device requires
the insertion into the cochlea of an electrode array allowing electrical
stimulation of auditory nerve end fibbers. However, this insertion is a
critical point of the surgery since the surgeon cannot control visually
the trajectory of the electrode array and has to rely on its tactile
feedback.
The insertion of this electrode array is a critical step in the surgical
procedure as it requires advancing this 1mm diameter electrode into a
small hole (~2mm) in the cochlea. This insertion is performed manually
in the clinic, "blindly" and without the possibility of controlling and
correcting its trajectory inside the cochlea.
To address the problem, we are currently working, in collaboration with
the ENT surgery department of the Montpellier University Hospital on the
guidance of the insertion procedure by proposing US/CT image fusion
techniques using a newly designed dedicated ultrasound probe.
Within the framework of this project, we therefore wish to address the
scientific and technical issues related to the poor manipulability of
the electrode holder through the design, modeling and control of a new
type of robotized intracochlear electrode holder.
Coupled with our
intra-cochlear navigation system, this solution will enable the
implementation of innovative tools for the precise and safe positioning
of the electrode with the control of the forces applied to the internal
walls of the cochlea.
Salary: according to CV (1800€ - 2300€ Net salary)
Contract duration: 12 months (renewable)
Expected starting date: Immediate
Close Date: Until filled
Application:
Please send your CV, a cover letter, and 2 references to the below email
address.
[email protected] and [email protected]
✔️ @ApplyTime
type of robotized intracochlear electrode holder at LIRMM-Montpellier
The LIRMM, the Montpellier University Hospital (CHU) and INSERM are
looking for a talented Postdoc candidate to work on the design of a new
type of robotized intracochlear electrode holder.
Context:
Cochlear implant is the first functional implantable neuroprosthestic
device in human. It restores the auditory perception in people with
severe to profound deafness. The implantation of such a device requires
the insertion into the cochlea of an electrode array allowing electrical
stimulation of auditory nerve end fibbers. However, this insertion is a
critical point of the surgery since the surgeon cannot control visually
the trajectory of the electrode array and has to rely on its tactile
feedback.
The insertion of this electrode array is a critical step in the surgical
procedure as it requires advancing this 1mm diameter electrode into a
small hole (~2mm) in the cochlea. This insertion is performed manually
in the clinic, "blindly" and without the possibility of controlling and
correcting its trajectory inside the cochlea.
To address the problem, we are currently working, in collaboration with
the ENT surgery department of the Montpellier University Hospital on the
guidance of the insertion procedure by proposing US/CT image fusion
techniques using a newly designed dedicated ultrasound probe.
Within the framework of this project, we therefore wish to address the
scientific and technical issues related to the poor manipulability of
the electrode holder through the design, modeling and control of a new
type of robotized intracochlear electrode holder.
Coupled with our
intra-cochlear navigation system, this solution will enable the
implementation of innovative tools for the precise and safe positioning
of the electrode with the control of the forces applied to the internal
walls of the cochlea.
Salary: according to CV (1800€ - 2300€ Net salary)
Contract duration: 12 months (renewable)
Expected starting date: Immediate
Close Date: Until filled
Application:
Please send your CV, a cover letter, and 2 references to the below email
address.
[email protected] and [email protected]
✔️ @ApplyTime
PhD Positions, University of Edinburgh,
UK
- Research topics
Deep reinforcement learning for continuous robot control, multi-skill and
multi-task learning of robot motor skills with human-level and superhuman
performance. PhD topics are in the areas of deep reinforcement learning,
data-efficient learning, and hierarchical learning for robotic motor skills
(eg locomotion, manipulation, grasping)
See our lab’s work on real-world multi-skill locomotion in Science
Robotics:
https://urldefense.com/v3/__https://robotics.sciencemag.org/content/5/49/eabb2174__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3A5pNtpI$
https://urldefense.com/v3/__https://www.youtube.com/watch?v=n34gGhb7Qjo__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3I1_yRCO$
- Application
Edinburgh Centre for Robotics, School of Informatics, University of
Edinburgh:
https://urldefense.com/v3/__https://www.edinburgh-robotics.org/apply__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3OZDGaTj$
- Deadline: *Friday 28th January 2022.*
- Lab
Advanced Robotics Lab (AIR) Lab:
https://urldefense.com/v3/__https://advanced-intelligent-robotics-lab.gitlab.io/__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3O6WALKi$
- Contact
Please contact Dr Alex LI for the discussion/preparation of *Research
Proposal* at zhibin.li[at]ed.ac.uk and alexrobotics[at]gmail.com, and
please make sure your email's title Starting with [PhD].
Best regards,
Alex
––
Assistant Professor
Robotics & Machine Learning
Edinburgh Centre for Robotics
University of Edinburgh
UK
- Research topics
Deep reinforcement learning for continuous robot control, multi-skill and
multi-task learning of robot motor skills with human-level and superhuman
performance. PhD topics are in the areas of deep reinforcement learning,
data-efficient learning, and hierarchical learning for robotic motor skills
(eg locomotion, manipulation, grasping)
See our lab’s work on real-world multi-skill locomotion in Science
Robotics:
https://urldefense.com/v3/__https://robotics.sciencemag.org/content/5/49/eabb2174__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3A5pNtpI$
https://urldefense.com/v3/__https://www.youtube.com/watch?v=n34gGhb7Qjo__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3I1_yRCO$
- Application
Edinburgh Centre for Robotics, School of Informatics, University of
Edinburgh:
https://urldefense.com/v3/__https://www.edinburgh-robotics.org/apply__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3OZDGaTj$
- Deadline: *Friday 28th January 2022.*
- Lab
Advanced Robotics Lab (AIR) Lab:
https://urldefense.com/v3/__https://advanced-intelligent-robotics-lab.gitlab.io/__;!!LIr3w8kk_Xxm!_YbJ6ZIMJLh63-I7YESZC-75F_sUJ7xzyCpSEZV5HG5csQ506fJ_59DJ12nb5axR3O6WALKi$
- Contact
Please contact Dr Alex LI for the discussion/preparation of *Research
Proposal* at zhibin.li[at]ed.ac.uk and alexrobotics[at]gmail.com, and
please make sure your email's title Starting with [PhD].
Best regards,
Alex
––
Assistant Professor
Robotics & Machine Learning
Edinburgh Centre for Robotics
University of Edinburgh
Science Robotics
Multi-expert learning of adaptive legged locomotion
A multi-expert learning architecture generates adaptive behaviors for the versatile locomotion of quadruped robots.
Fully-funded, 3.5-year PhD studentship in
Robotics at King's College London
We have a fully-funded, 3.5-year PhD studentship available at the Department
of Engineering, King’s College London, starting from September 2022. We are
seeking a highly creative and motivated applicant with a keen interest in
doing research in robot perception and manipulation, with robot sensing,
machine/deep learning and computer vision techniques.
This project aims to develop techniques for the robotic manipulation with
robot tactile sensing and vision. Robot manipulation has been widely applied
in industry for tasks such as warehouse operation and assembly. Research on
robot manipulation has mainly focused on handling rigid objects so far.
However, many important application domains require manipulating non-rigid or
flexible objects such as fabrics, hoses and cables. Such objects are far more
challenging to handle, as they can exhibit a much greater diversity of
behaviours. The challenges involved, such as sensing capabilities (touch
sensing and robot vision), perception of object properties and manipulation
planning, need to be addressed to unlock the full potential of robot
manipulation. This project will directly address these challenges by blending
ideas coming from different disciplines including robotics, machine learning
and computer vision. It is expected to create a robotic system to manipulate
the fabrics autonomously, leveraging perception and learning through
interaction.
The successful candidate will join the Robot Perception Lab led by Dr Shan
Luo. The PhD project will work closely with the team members at the lab,
particularly ones working on the EPSRC funded project “ViTac: Visual-Tactile
Synergy for Handling Flexible Materials”. The lab has strong connections with
industry, e.g., Unilever, Shadow Robot Company, Facebook AI Research (FAIR),
and has been in collaboration with researchers at MIT, CMU and RWTH Aachen
University.
King’s is a leading university providing world-class teaching and cutting-edge
research. We are ranked sixth in the UK for the quality and quantity of
research activity (Research Excellence Framework, 2014). King’s has played a
major role in many of the advances that shape modern life, such as the
discovery of the structure of DNA and research that led to the development of
radio, television, mobile phones and radar. King’s continues to lead the way
on research and pioneers new ideas to make the world a better place. The
Department of Engineering at King’s is located on the Strand Campus of King’s
College London where the studentship will be based.
Requirements:
The successful candidate will hold a relevant degree (Engineering, Computer
Science, Mechanical or Electrical Engineering) as well as good programming
skills and a strong mathematical background. Experience in robotics and/or
statistical machine learning is a plus.
She/he must be highly motivated and must have:
- Experience in writing scientific reports
- Excellent communication skills in English (both writing and speaking)
- A good attitude towards team working in an international environment
- Solid background in computer programming (for example, Python, C++, Matlab)
- Proficiency in spoken and written English
- (Preferred) Previous coursework and/or practical experience in machine
learning, especially in the deep learning libraries (Tensorflow, Torch etc.)
- (Preferred) Previous coursework and/or practical experience with ROS and
robot platforms
- (Preferred) Solid background in mathematics
We offer:
- You will work at one of the world leading universities, and have the
opportunity to work towards your PhD with a group of excellent scientists in
Robotics
- You will receive funding for the standard minimum stipend and fees up to a
Home rate.
- Access to robot facilities in the lab, e.g., UR5 robot arms, ABB YuMi dual-
arm robot, multiple robotic grippers and many other robot platforms
- Collaboration opportunities in both academia and industry (potential
placements at the project partners)
Application Documentation
Robotics at King's College London
We have a fully-funded, 3.5-year PhD studentship available at the Department
of Engineering, King’s College London, starting from September 2022. We are
seeking a highly creative and motivated applicant with a keen interest in
doing research in robot perception and manipulation, with robot sensing,
machine/deep learning and computer vision techniques.
This project aims to develop techniques for the robotic manipulation with
robot tactile sensing and vision. Robot manipulation has been widely applied
in industry for tasks such as warehouse operation and assembly. Research on
robot manipulation has mainly focused on handling rigid objects so far.
However, many important application domains require manipulating non-rigid or
flexible objects such as fabrics, hoses and cables. Such objects are far more
challenging to handle, as they can exhibit a much greater diversity of
behaviours. The challenges involved, such as sensing capabilities (touch
sensing and robot vision), perception of object properties and manipulation
planning, need to be addressed to unlock the full potential of robot
manipulation. This project will directly address these challenges by blending
ideas coming from different disciplines including robotics, machine learning
and computer vision. It is expected to create a robotic system to manipulate
the fabrics autonomously, leveraging perception and learning through
interaction.
The successful candidate will join the Robot Perception Lab led by Dr Shan
Luo. The PhD project will work closely with the team members at the lab,
particularly ones working on the EPSRC funded project “ViTac: Visual-Tactile
Synergy for Handling Flexible Materials”. The lab has strong connections with
industry, e.g., Unilever, Shadow Robot Company, Facebook AI Research (FAIR),
and has been in collaboration with researchers at MIT, CMU and RWTH Aachen
University.
King’s is a leading university providing world-class teaching and cutting-edge
research. We are ranked sixth in the UK for the quality and quantity of
research activity (Research Excellence Framework, 2014). King’s has played a
major role in many of the advances that shape modern life, such as the
discovery of the structure of DNA and research that led to the development of
radio, television, mobile phones and radar. King’s continues to lead the way
on research and pioneers new ideas to make the world a better place. The
Department of Engineering at King’s is located on the Strand Campus of King’s
College London where the studentship will be based.
Requirements:
The successful candidate will hold a relevant degree (Engineering, Computer
Science, Mechanical or Electrical Engineering) as well as good programming
skills and a strong mathematical background. Experience in robotics and/or
statistical machine learning is a plus.
She/he must be highly motivated and must have:
- Experience in writing scientific reports
- Excellent communication skills in English (both writing and speaking)
- A good attitude towards team working in an international environment
- Solid background in computer programming (for example, Python, C++, Matlab)
- Proficiency in spoken and written English
- (Preferred) Previous coursework and/or practical experience in machine
learning, especially in the deep learning libraries (Tensorflow, Torch etc.)
- (Preferred) Previous coursework and/or practical experience with ROS and
robot platforms
- (Preferred) Solid background in mathematics
We offer:
- You will work at one of the world leading universities, and have the
opportunity to work towards your PhD with a group of excellent scientists in
Robotics
- You will receive funding for the standard minimum stipend and fees up to a
Home rate.
- Access to robot facilities in the lab, e.g., UR5 robot arms, ABB YuMi dual-
arm robot, multiple robotic grippers and many other robot platforms
- Collaboration opportunities in both academia and industry (potential
placements at the project partners)
Application Documentation
To apply for the scholarship, applicants must first apply for admission to the
PhD programme at King’s through the online Admissions Portal
(https://urldefense.com/v3/__https://apply.kcl.ac.uk/__;!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJcbHi3aC$
<https://urldefense.com/v3/__https://www.findaphd.com/common/clickCount.aspx?theid=138575&type=184&DID=5856&url=https*3a*2f*2fapply.kcl.ac.uk*2f__;JSUlJQ!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJeKp9s84$
>). Applications must be complete with all relevant supporting documentation,
by this deadline. The application must name Dr Shan Luo as the potential
supervisor within the research proposal section of their application.
In addition, to the supporting documents requested by the Admissions Portal,
the application must include:
- A curriculum vitae.
- A brief research proposal based on the above project description (maximum 2
A4 pages, minimum font size 11pt, 2cm margins).
Non-UK applicants must additionally provide:
- A statement and supporting evidence showing their ability to cover full time
tuition fees.
The above documents must be received by 15th January 2022, 5pm London time.
It is strongly advised to contact Dr Shan Luo (shan.
[email protected]<javascript:void(0)>) to discuss the research plans prior to
the application.
Selection
As part of selection, short-listed candidates will be invited for interview
(by MS Teams or Zoom). Please note that, only short-listed candidates will be
contacted.
Funding Details
The scholarship will provide funds to cover home tuition fees and living costs
in line with UK Research Council funding levels.
Length of Award
3.5 years (full time PhD).
Deadline: Saturday, January 15, 2022
For more details:
https://urldefense.com/v3/__https://www.findaphd.com/phds/project/robotic-manipulation-with-vision-and-touching-sensing/?p138575__;!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJWZeEqwF$
Best regards,
Shan Luo
-------------------------------------
Dr. Shan Luo
Senior Lecturer (Associate Professor) in Robotics
Department of Engineering
King’s College London, WC2R 2LS
United Kingdom
Email: [email protected]
PhD programme at King’s through the online Admissions Portal
(https://urldefense.com/v3/__https://apply.kcl.ac.uk/__;!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJcbHi3aC$
<https://urldefense.com/v3/__https://www.findaphd.com/common/clickCount.aspx?theid=138575&type=184&DID=5856&url=https*3a*2f*2fapply.kcl.ac.uk*2f__;JSUlJQ!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJeKp9s84$
>). Applications must be complete with all relevant supporting documentation,
by this deadline. The application must name Dr Shan Luo as the potential
supervisor within the research proposal section of their application.
In addition, to the supporting documents requested by the Admissions Portal,
the application must include:
- A curriculum vitae.
- A brief research proposal based on the above project description (maximum 2
A4 pages, minimum font size 11pt, 2cm margins).
Non-UK applicants must additionally provide:
- A statement and supporting evidence showing their ability to cover full time
tuition fees.
The above documents must be received by 15th January 2022, 5pm London time.
It is strongly advised to contact Dr Shan Luo (shan.
[email protected]<javascript:void(0)>) to discuss the research plans prior to
the application.
Selection
As part of selection, short-listed candidates will be invited for interview
(by MS Teams or Zoom). Please note that, only short-listed candidates will be
contacted.
Funding Details
The scholarship will provide funds to cover home tuition fees and living costs
in line with UK Research Council funding levels.
Length of Award
3.5 years (full time PhD).
Deadline: Saturday, January 15, 2022
For more details:
https://urldefense.com/v3/__https://www.findaphd.com/phds/project/robotic-manipulation-with-vision-and-touching-sensing/?p138575__;!!LIr3w8kk_Xxm!5F2hE6_9-sKKVaN-oqVwl9KTMgvK5DA32g0GoPslb-iYXuPntNBf1m-_ytZYl-AFJWZeEqwF$
Best regards,
Shan Luo
-------------------------------------
Dr. Shan Luo
Senior Lecturer (Associate Professor) in Robotics
Department of Engineering
King’s College London, WC2R 2LS
United Kingdom
Email: [email protected]
www.FindAPhD.com
Robotic Manipulation with Vision and Touching Sensing at King’s College London on FindAPhD.com
PhD Project - Robotic Manipulation with Vision and Touching Sensing at King’s College London, listed on FindAPhD.com
DAAD Networking Tour in AI and Robotics
Dear robotics community,
We would like to draw your attention to an attractive offer for advanced PhD
students and postdocs.
The Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI)
provides a comprehensive overview of the German research system and puts you
in contact with leading AI researchers through virtual lab visits and the
option of one-on-one discussions during the Virtual Networking Week.
In addition, the selected participants will receive logistical and financial
support for a one-week visit to Germany following the virtual tour.
The next Virtual Networking Week, focusing on AI and Robotics will take place
from 7-11 March 2022.
The application deadline is 11 January 2022, 11:59 am CET.
For further information and an overview of the host institutions, please visit
daad.de/ainet/apply<https://www.daad.de/ainet/apply>.
Feel free to share this information and the PDF-
call<https://imp.daad.com/media/daad_de/der-daad/postdocnet/22_3_daad_ainet_call.pdf>
at your institution and among potential applicants, and spread the call via
Twitter<https://twitter.com/DAAD_Germany/status/1465636814899843080?s=20> and
LinkedIn<https://www.linkedin.com/posts/daad-worldwide_ai-artificialintelligence-ai-activity-6871402604421750785-01cI/
>.
Any questions? Please contact [email protected]<mailto:[email protected]>.
Best regards,
The DAAD AInet Team
________________________
DAAD – Postdoc-NeT-AI
Tel.: +49 228 882-4045
[email protected]<mailto:[email protected]>
www.daad.de/ainet<https://www.daad.de/ainet>
Dear robotics community,
We would like to draw your attention to an attractive offer for advanced PhD
students and postdocs.
The Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI)
provides a comprehensive overview of the German research system and puts you
in contact with leading AI researchers through virtual lab visits and the
option of one-on-one discussions during the Virtual Networking Week.
In addition, the selected participants will receive logistical and financial
support for a one-week visit to Germany following the virtual tour.
The next Virtual Networking Week, focusing on AI and Robotics will take place
from 7-11 March 2022.
The application deadline is 11 January 2022, 11:59 am CET.
For further information and an overview of the host institutions, please visit
daad.de/ainet/apply<https://www.daad.de/ainet/apply>.
Feel free to share this information and the PDF-
call<https://imp.daad.com/media/daad_de/der-daad/postdocnet/22_3_daad_ainet_call.pdf>
at your institution and among potential applicants, and spread the call via
Twitter<https://twitter.com/DAAD_Germany/status/1465636814899843080?s=20> and
LinkedIn<https://www.linkedin.com/posts/daad-worldwide_ai-artificialintelligence-ai-activity-6871402604421750785-01cI/
>.
Any questions? Please contact [email protected]<mailto:[email protected]>.
Best regards,
The DAAD AInet Team
________________________
DAAD – Postdoc-NeT-AI
Tel.: +49 228 882-4045
[email protected]<mailto:[email protected]>
www.daad.de/ainet<https://www.daad.de/ainet>
www.daad.de
Details and Application
Exploring research and career options and connect with the German artificial intelligence community.
Multiple Postdoctoral Fellowships: Foundations of Data Science Institute
The Foundations of Data Science Institute (FODSI), funded by the National Science Foundation TRIPODS program, is announcing a competitive postdoctoral fellowship. Multiple positions are available. FODSI is a collaboration between UC Berkeley and MIT, partnering with Boston University, Northeastern University, Harvard University, Howard University, and Bryn Mawr College.
For full consideration, please apply by December 15, 2021, at the following link:
https://academicjobsonline.org/ajo/jobs/20132
The Foundations of Data Science Institute (FODSI), funded by the National Science Foundation TRIPODS program, is announcing a competitive postdoctoral fellowship. Multiple positions are available. FODSI is a collaboration between UC Berkeley and MIT, partnering with Boston University, Northeastern University, Harvard University, Howard University, and Bryn Mawr College.
For full consideration, please apply by December 15, 2021, at the following link:
https://academicjobsonline.org/ajo/jobs/20132
academicjobsonline.org
Foundations of Data Science Institute @ University of California, Berkeley and Massachusetts Institute of Technology and Boston…
Full service online faculty recruitment site for academic institutions worldwide. We offer unique solutions tailored for academic communities.
Postdoctoral Research Associate Position in Developmental Cognitive Neuroscience
Laboratory for Child Brain Development
Department of Psychiatry, Child and Adolescent Division, Washington University- St. Louis
The Laboratory for Child Brain Development (LCBD-PI: Dr. Susan Perlman) has up to two openings for a postdoctoral training position to collaborate on several NIH funded studies. The applicant’s main appointment will be in the Laboratory for Child Brain Development (https://www.childbrainlab.com) in the Washington University- St. Louis, School of Medicine, Department of Psychiatry, William Greenleaf Elliot Division of Child and Adolescent Psychiatry (https://childpsychiatry.wustl.edu/). The LCBD is dedicated to using multi-modal methodology to understand the trajectories of emotional development from infancy to middle childhood (with a strong preschool focus) in order to predict the onset of mental disorder.
The postdoc will have the opportunity to train in multi-modal neuroimaging methods including MRI, NIRS, EEG. Behavioral (Eye-tracking, clinical interview), physiology (RSA), and immunology measures (hair and salivary cortisol, inflammatory markers) also included in our research program. Opportunities for publication include three main studies:
The EmoGrow Project: This study followed 4-5 year old children for two years to examine how early temperament predicts the onset of psychopathology and how the parent-child relationship can buffer these negative outcomes. Data collection has finished in the complete sample of 151 children and includes MRI, NIRS, and behavioral methods (parent-child) interaction. This longitudinal data set is available for immediate data analysis and publication.
The CARE Study: This longitudinal project, which began data collection in winter 2021, is designed to study the biological unfolding of early-life stress as a precursor to psychopathology. We will employ intensive, state-of-the-art, multi-modal, neurodevelopmental measurement in a sample of 225 4-6 year-old children and their parent, including fMRI, interpersonal neural synchronization between parent and child using fNIRS, facial expression and behavioral coding, hair and salivary cortisol, and measurement of inflammatory markers. The CARE study recruits children experiencing attachment-related stress as a model for the biological unfolding of stress, while also examining external stressors and those that occur throughout the course of the study. In this longitudinal study, families will be followed every 6 months across a 1.5 year time period.
Parent-to-Child Anxiety Transmission: A new, longitudinal project, which has recently begun, will examine parental transmission of anxiety to preschool children. This project includes fNIRS (parent-child interpersonal neural synchronization), EEG, and behavioral coding and will focus on parent-child interaction and socialization of anxious behaviors through child observation. A subaim of the study focuses on anxiety transmission in fathers.
Additional collaborative studies investigate neural processes underlying emotion regulation in autism spectrum disorder, child overcontrolled temperament and development within the parent-child relationship, and neural processes underlying executive function in children experiencing early adversity. The postdoc will also have ample opportunity to design their own studies and collect a novel data set.
The postdoctoral fellow will be an integral member of the scientific team at the Laboratory for Child Brain Development and will have rich opportunities to publish and present at conferences using all available laboratory data. The fellow will also be encouraged and supported to develop supplementary studies via the NIH NRSA and/or K Award mechanisms in addition to smaller foundation grants. The postdoctoral fellow will develop, implement, and disseminate cutting-edge fMRI and fNIRS analysis tools through Dr. Perlman’s Laboratory for Child Brain Development and in collaboration with local and national collaborators.
Laboratory for Child Brain Development
Department of Psychiatry, Child and Adolescent Division, Washington University- St. Louis
The Laboratory for Child Brain Development (LCBD-PI: Dr. Susan Perlman) has up to two openings for a postdoctoral training position to collaborate on several NIH funded studies. The applicant’s main appointment will be in the Laboratory for Child Brain Development (https://www.childbrainlab.com) in the Washington University- St. Louis, School of Medicine, Department of Psychiatry, William Greenleaf Elliot Division of Child and Adolescent Psychiatry (https://childpsychiatry.wustl.edu/). The LCBD is dedicated to using multi-modal methodology to understand the trajectories of emotional development from infancy to middle childhood (with a strong preschool focus) in order to predict the onset of mental disorder.
The postdoc will have the opportunity to train in multi-modal neuroimaging methods including MRI, NIRS, EEG. Behavioral (Eye-tracking, clinical interview), physiology (RSA), and immunology measures (hair and salivary cortisol, inflammatory markers) also included in our research program. Opportunities for publication include three main studies:
The EmoGrow Project: This study followed 4-5 year old children for two years to examine how early temperament predicts the onset of psychopathology and how the parent-child relationship can buffer these negative outcomes. Data collection has finished in the complete sample of 151 children and includes MRI, NIRS, and behavioral methods (parent-child) interaction. This longitudinal data set is available for immediate data analysis and publication.
The CARE Study: This longitudinal project, which began data collection in winter 2021, is designed to study the biological unfolding of early-life stress as a precursor to psychopathology. We will employ intensive, state-of-the-art, multi-modal, neurodevelopmental measurement in a sample of 225 4-6 year-old children and their parent, including fMRI, interpersonal neural synchronization between parent and child using fNIRS, facial expression and behavioral coding, hair and salivary cortisol, and measurement of inflammatory markers. The CARE study recruits children experiencing attachment-related stress as a model for the biological unfolding of stress, while also examining external stressors and those that occur throughout the course of the study. In this longitudinal study, families will be followed every 6 months across a 1.5 year time period.
Parent-to-Child Anxiety Transmission: A new, longitudinal project, which has recently begun, will examine parental transmission of anxiety to preschool children. This project includes fNIRS (parent-child interpersonal neural synchronization), EEG, and behavioral coding and will focus on parent-child interaction and socialization of anxious behaviors through child observation. A subaim of the study focuses on anxiety transmission in fathers.
Additional collaborative studies investigate neural processes underlying emotion regulation in autism spectrum disorder, child overcontrolled temperament and development within the parent-child relationship, and neural processes underlying executive function in children experiencing early adversity. The postdoc will also have ample opportunity to design their own studies and collect a novel data set.
The postdoctoral fellow will be an integral member of the scientific team at the Laboratory for Child Brain Development and will have rich opportunities to publish and present at conferences using all available laboratory data. The fellow will also be encouraged and supported to develop supplementary studies via the NIH NRSA and/or K Award mechanisms in addition to smaller foundation grants. The postdoctoral fellow will develop, implement, and disseminate cutting-edge fMRI and fNIRS analysis tools through Dr. Perlman’s Laboratory for Child Brain Development and in collaboration with local and national collaborators.
LCBD
Laboratory for Child Brain Development
The Washington University-St. Louis, Department of Psychiatry provides an ideal training environment for postdoctoral fellows, including the Career and Research Development Seminars designed to promote the professional, career development, and grantsmanship skills necessary to launch an independent career through the NIH K Award mechanism. Wash U is home to a thriving neuroimaging community and is a leader in developmental psychopathology research. St. Louis and the local surrounding areas offer an affordable, diverse, and family-friendly community with rich university resources.
Position requires a PhD or MD/PhD in a neuroscience, psychology, computer science, or engineering related field. The ideal candidate will have fluency in MATLAB, Python, R, or related language and expertise in fMRI, fNIRS, or EEG and will be able to implement cutting-edge neuroimaging analysis techniques such as network analyses, Multi-Variate Pattern Analysis, or hyperscanning. The successful candidate will have an excellent publication record with demonstrated interest in developmental cognitive neuroscience and will combine a collaborative orientation with the ability to function well independently.
The postdoctoral fellowship positions are open immediately, however, a later start date can be made to accommodate spring PHD graduates. The fellow will be asked to commit to a minimum of 2 years on the project, however, the position may be extended up to 5 years contingent upon progress. To apply please send a cover letter, C.V., and names and contact information of three references to: Susan Perlman, Ph.D. at [email protected]. Questions can be addressed to Dr. Perlman directly.
----------------------------------------------------------
Susan B. Perlman, Ph.D.
Director Laboratory for Child Brain Development
Associate Professor
Washington University-St. Louis
Position requires a PhD or MD/PhD in a neuroscience, psychology, computer science, or engineering related field. The ideal candidate will have fluency in MATLAB, Python, R, or related language and expertise in fMRI, fNIRS, or EEG and will be able to implement cutting-edge neuroimaging analysis techniques such as network analyses, Multi-Variate Pattern Analysis, or hyperscanning. The successful candidate will have an excellent publication record with demonstrated interest in developmental cognitive neuroscience and will combine a collaborative orientation with the ability to function well independently.
The postdoctoral fellowship positions are open immediately, however, a later start date can be made to accommodate spring PHD graduates. The fellow will be asked to commit to a minimum of 2 years on the project, however, the position may be extended up to 5 years contingent upon progress. To apply please send a cover letter, C.V., and names and contact information of three references to: Susan Perlman, Ph.D. at [email protected]. Questions can be addressed to Dr. Perlman directly.
----------------------------------------------------------
Susan B. Perlman, Ph.D.
Director Laboratory for Child Brain Development
Associate Professor
Washington University-St. Louis
Postdoc at the University of Edinburgh in human-in-the-loop machine learning
We have an open postdoc position in the School of Informatics at the University of Edinburgh on the topic of human-in-the-loop machine learning.
Please get in contact if you have an interest in computer vision, machine learning, or explainable AI. This is part of an exciting wider project which aims to develop new foundations for advancing autonomy in AI systems through human-AI collaboration.
More details can be found in the job ad:
https://edin.ac/3DKeL0T
For expressions of interest, or questions, please contact:
Oisin Mac Aodha - oisin.macaodha _ @ _ ed.ac.uk
We have an open postdoc position in the School of Informatics at the University of Edinburgh on the topic of human-in-the-loop machine learning.
Please get in contact if you have an interest in computer vision, machine learning, or explainable AI. This is part of an exciting wider project which aims to develop new foundations for advancing autonomy in AI systems through human-AI collaboration.
More details can be found in the job ad:
https://edin.ac/3DKeL0T
For expressions of interest, or questions, please contact:
Oisin Mac Aodha - oisin.macaodha _ @ _ ed.ac.uk
University of Edinburgh Jobs
Research Associate
The School of Informatics at the University of Edinburgh invites applications for a post-doctoral Research Assistant position on the topic of explainable AI.
--------------------------------------------------------------------------
2 PostDoc openings at IIT Genoa in Machine Learning and Perception for
Legged Robots
--------------------------------------------------------------------------
The Dynamic Legged Systems research line (DLS lab) of Istituto Italiano
di Tecnologia (IIT), (web: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=5&ESV=10.0.10.6443&IV=AC16158E50F342085A721A9ED69F73E9&TT=1639153830078&ESN=6UfYB7rsdfuCfCcTuMzaevG2iPiua5FHVMMQ2ta5%2B6A%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQ&HK=4A41826DD20975FB17DD0AE08DDC75BAA0B5B63F98182F5813DAB47899ACC524), an English-language
research Institute is looking for 2 highly-motivated and ambitious
postdoctoral researchers to work in the field of legged robots focusing
on (Position 1) Machine Learning, (Position 2) Perception for real-world
applications. The DLS lab conducts world-leading research and
development of legged robots for challenging environments.
The candidates are expected to (co-) tutor PhD and master students in
their related research areas and take leading roles in ongoing and
future projects.
Requirements:
The successful candidate must have a strong background in either
machine learning or perception (or a combination of them) with
experience on real robots.
For a detailed list of requirements and info on how to apply, visit:
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=4&ESV=10.0.10.6443&IV=8C2CEA6869D14826D02C8222A4E968AD&TT=1639153830078&ESN=Hzz9MTMYTehs2TAR5wnzvyl8DmPrXfI19rOHmyXXrgM%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQvb3BlbmluZ3M&HK=E9FC772F1E1988231B187DAFCF4DBF817FAF0EF3241156D7E29ADC71657286AB
Incomplete applications will be ignored.
-For News visit our facebook or twitter page:
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=3&ESV=10.0.10.6443&IV=0EFB00EB24F79049DD0808CE424FA911&TT=1639153830078&ESN=EBhbLX5AU9KItuF3WNTTotRZ2tVvoyzomErtwkCFclc%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly93d3cuZmFjZWJvb2suY29tL2lpdERMU2xhYi8&HK=0BD8FB4CD270438DD1ADD66844AD161DF229E4C709BF4E2DA2A9016A81BE9EB8
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=2&ESV=10.0.10.6443&IV=18CBA8F85C3C9D5F8490D15E5C4918F7&TT=1639153830078&ESN=aSZvmkmIy3oxYwMviA8%2FBa%2BEklhCMH7EjEFVlRy3HK4%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly93d3cudHdpdHRlci5jb20vaWl0RExTbGFiLw&HK=1825D66EDA0A8EB4FA4A090CC23E32211C021D992EF26AFB70B31C7AF6F8FAA1
Best regards,
Claudio
--
Claudio Semini, PhD
Head of Dynamic Legged Systems Lab
Istituto Italiano di Tecnologia (IIT)
Via S. Quirico 19D, 16163 Genoa, Italy
phone: +39 010 2898 283
email: [email protected]
web: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=1&ESV=10.0.10.6443&IV=6DDBFB31357BF1D3D7A5339819C2521C&TT=1639153830078&ESN=Jtl17s2DrJDBqRK7wYj%2BoV%2BrXMQk0ayGMx56HTuM9lc%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQ&HK=7B8425359C7D9F89D69CF622DBEB0E74C36FEEDFDCB4C99049F37AECC5F61645
www.iit.it/people/claudio-semini
2 PostDoc openings at IIT Genoa in Machine Learning and Perception for
Legged Robots
--------------------------------------------------------------------------
The Dynamic Legged Systems research line (DLS lab) of Istituto Italiano
di Tecnologia (IIT), (web: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=5&ESV=10.0.10.6443&IV=AC16158E50F342085A721A9ED69F73E9&TT=1639153830078&ESN=6UfYB7rsdfuCfCcTuMzaevG2iPiua5FHVMMQ2ta5%2B6A%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQ&HK=4A41826DD20975FB17DD0AE08DDC75BAA0B5B63F98182F5813DAB47899ACC524), an English-language
research Institute is looking for 2 highly-motivated and ambitious
postdoctoral researchers to work in the field of legged robots focusing
on (Position 1) Machine Learning, (Position 2) Perception for real-world
applications. The DLS lab conducts world-leading research and
development of legged robots for challenging environments.
The candidates are expected to (co-) tutor PhD and master students in
their related research areas and take leading roles in ongoing and
future projects.
Requirements:
The successful candidate must have a strong background in either
machine learning or perception (or a combination of them) with
experience on real robots.
For a detailed list of requirements and info on how to apply, visit:
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=4&ESV=10.0.10.6443&IV=8C2CEA6869D14826D02C8222A4E968AD&TT=1639153830078&ESN=Hzz9MTMYTehs2TAR5wnzvyl8DmPrXfI19rOHmyXXrgM%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQvb3BlbmluZ3M&HK=E9FC772F1E1988231B187DAFCF4DBF817FAF0EF3241156D7E29ADC71657286AB
Incomplete applications will be ignored.
-For News visit our facebook or twitter page:
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=3&ESV=10.0.10.6443&IV=0EFB00EB24F79049DD0808CE424FA911&TT=1639153830078&ESN=EBhbLX5AU9KItuF3WNTTotRZ2tVvoyzomErtwkCFclc%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly93d3cuZmFjZWJvb2suY29tL2lpdERMU2xhYi8&HK=0BD8FB4CD270438DD1ADD66844AD161DF229E4C709BF4E2DA2A9016A81BE9EB8
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=2&ESV=10.0.10.6443&IV=18CBA8F85C3C9D5F8490D15E5C4918F7&TT=1639153830078&ESN=aSZvmkmIy3oxYwMviA8%2FBa%2BEklhCMH7EjEFVlRy3HK4%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cHM6Ly93d3cudHdpdHRlci5jb20vaWl0RExTbGFiLw&HK=1825D66EDA0A8EB4FA4A090CC23E32211C021D992EF26AFB70B31C7AF6F8FAA1
Best regards,
Claudio
--
Claudio Semini, PhD
Head of Dynamic Legged Systems Lab
Istituto Italiano di Tecnologia (IIT)
Via S. Quirico 19D, 16163 Genoa, Italy
phone: +39 010 2898 283
email: [email protected]
web: https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=202112101630290101586&URLID=1&ESV=10.0.10.6443&IV=6DDBFB31357BF1D3D7A5339819C2521C&TT=1639153830078&ESN=Jtl17s2DrJDBqRK7wYj%2BoV%2BrXMQk0ayGMx56HTuM9lc%3D&KV=1536961729280&B64_ENCODED_URL=aHR0cDovL2Rscy5paXQuaXQ&HK=7B8425359C7D9F89D69CF622DBEB0E74C36FEEDFDCB4C99049F37AECC5F61645
www.iit.it/people/claudio-semini
dls.iit.it
Dynamic Legged Systems - Dynamic Legged Systems - IIT
Our lab is performing research and development for the design and control of high-performance, versatile legged robots, including planning and perception.
PhD position: Data Augmentation and Low Resource Language Processing
at Saarland University
=============================================================
(Computer Science, Computational Linguistics or similar)
For automatic language processing (especially for languages like German), hardly any tools are available to automatically generate the datasets (data augmentation) to assist low-resource machine learning. In cooperation with our partners, we will explore algorithms for generating domain-specific synthetic speech and language data and also perform research on algorithms that can robustly train language models and natural language understanding modules in order to create neural network based dialog systems with minimal manually created domain specific training data.
We are anticipating the availability of a PhD position in this area starting May of 2022.
Ideal candidates for the position would have:
1. A good understanding of natural language processing
2. Excellent knowledge of machine learning
3. Excellent programming skills
4. Masters degree in Computer Science, Computational Linguistics or similar
Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3055€ per month before tax and social security contributions. The appointments will be for three years with possible extensions subject to follow-up funding.
About the department: The department of Language Science and Technology at Saarland University is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck instituts and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe.
How to apply: Please send us a letter of motivation, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 3 MB.
Please apply latest by January 15th, 2022. Earlier applications are welcome!
Contact: Applications and any further inquiries regarding the project should be directed to [email protected]
at Saarland University
=============================================================
(Computer Science, Computational Linguistics or similar)
For automatic language processing (especially for languages like German), hardly any tools are available to automatically generate the datasets (data augmentation) to assist low-resource machine learning. In cooperation with our partners, we will explore algorithms for generating domain-specific synthetic speech and language data and also perform research on algorithms that can robustly train language models and natural language understanding modules in order to create neural network based dialog systems with minimal manually created domain specific training data.
We are anticipating the availability of a PhD position in this area starting May of 2022.
Ideal candidates for the position would have:
1. A good understanding of natural language processing
2. Excellent knowledge of machine learning
3. Excellent programming skills
4. Masters degree in Computer Science, Computational Linguistics or similar
Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3055€ per month before tax and social security contributions. The appointments will be for three years with possible extensions subject to follow-up funding.
About the department: The department of Language Science and Technology at Saarland University is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck instituts and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe.
How to apply: Please send us a letter of motivation, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 3 MB.
Please apply latest by January 15th, 2022. Earlier applications are welcome!
Contact: Applications and any further inquiries regarding the project should be directed to [email protected]
Research position | Deadline: 31 Dec
Väestöliitto is part of Social networks, fertility and wellbeing in ageing populations: Building demographic resilience in Finland (NetResilience) consortium, and is now recruiting a researcher.
Väestöliitto and University of Turku are recruiting a postdoctoral or senior researcher to study couple relations and family dynamics in old age. The position is available at the Population Research Institute, Väestöliitto – Family Federation of Finland in Helsinki, 2022-2024 (around three years).
The position is also associated with the international research project NetResilience. The employment relationship will be formed 50 % to Population Research Institute and 50 % to University of Turku.
The selected candidate should hold a PhD or have a PhD thesis near completion in social sciences, e.g. demography, sociology, statistics, psychology, ecology, or related disciplines, and is interested in ageing, families, social relations and wellbeing. Candidate should have strong statistical expertise in quantitative data analysis, experience of working with survey or register data, and excellent skills in writing academic English. Fluency in Finnish or Swedish is also a plus, but not obligatory. Experience of SHARE or social network analysis is a plus.
Tentative starting date: 1 Jan 2022
Application deadline: 31 December 2021 (Extended deadline)
More information here.
Väestöliitto is part of Social networks, fertility and wellbeing in ageing populations: Building demographic resilience in Finland (NetResilience) consortium, and is now recruiting a researcher.
Väestöliitto and University of Turku are recruiting a postdoctoral or senior researcher to study couple relations and family dynamics in old age. The position is available at the Population Research Institute, Väestöliitto – Family Federation of Finland in Helsinki, 2022-2024 (around three years).
The position is also associated with the international research project NetResilience. The employment relationship will be formed 50 % to Population Research Institute and 50 % to University of Turku.
The selected candidate should hold a PhD or have a PhD thesis near completion in social sciences, e.g. demography, sociology, statistics, psychology, ecology, or related disciplines, and is interested in ageing, families, social relations and wellbeing. Candidate should have strong statistical expertise in quantitative data analysis, experience of working with survey or register data, and excellent skills in writing academic English. Fluency in Finnish or Swedish is also a plus, but not obligatory. Experience of SHARE or social network analysis is a plus.
Tentative starting date: 1 Jan 2022
Application deadline: 31 December 2021 (Extended deadline)
More information here.
Väestöliitto.fi
Open research position at Väestöliitto
Väestöliitto is part of Social networks, fertility and wellbeing in ageing populations: Building demographic resilience in Finland (NetResilience) consortium, and is now recruiting a researcher.