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.
Postdoctoral position at Cardiff University
Location: Cardiff, UK
Deadline for applications: 5th January 2022
Start date: 1st May 2022 (or as soon as possible thereafter)
Duration: 30 months
Keywords: natural language processing, representation learning, commonsense reasoning
Details about the post
Applications are invited for a postdoctoral research associate post to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The aim of this post is to develop methods for learning graph-structured representations of stories, where nodes correspond to entities and events, and edges indicate relationships. More specifically, the focus will be on learning sparse and interpretable vector representations of these entities, events and relationships. These vector representations will then form the basis for implementing common sense reasoning strategies, allowing us to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available here:
https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=30011&siteid=5460&PageType=JobDetails&jobid=1897761
Background about the ReStoRe project
When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works.
The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective.
To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned.
Location: Cardiff, UK
Deadline for applications: 5th January 2022
Start date: 1st May 2022 (or as soon as possible thereafter)
Duration: 30 months
Keywords: natural language processing, representation learning, commonsense reasoning
Details about the post
Applications are invited for a postdoctoral research associate post to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The aim of this post is to develop methods for learning graph-structured representations of stories, where nodes correspond to entities and events, and edges indicate relationships. More specifically, the focus will be on learning sparse and interpretable vector representations of these entities, events and relationships. These vector representations will then form the basis for implementing common sense reasoning strategies, allowing us to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available here:
https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=30011&siteid=5460&PageType=JobDetails&jobid=1897761
Background about the ReStoRe project
When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works.
The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective.
To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned.
Brassring
Research Associate - Cardiff University - Job Details
Job Details: Research AssociateSchool of Computer Science & InformaticsCollege of Physical Sciences and EngineeringAppl
The solution that is proposed in this fellowship is based on representations called story graphs. These story graphs encode the events that occur, the entities involved, and the relationships that hold between these entities and events. A story can then be viewed as an incomplete specification of a story graph, similar to how a symbolic knowledge base corresponds to an incomplete specification of a possible world. The proposed framework will allow us to reason about textual information in a principled way. It will lead to significant improvements in NLP tasks where a commonsense understanding is required of the situations that are described, or where information from multiple sentences or documents needs to be combined. It will furthermore enable a step change in applications that directly rely on structured text representations, such as situational understanding, information retrieval systems for the legal, medical and news domains, and tools for inferring business insights from news stories and social media feeds.
4 PhD positions in Machine Learning/
Machine Reasoning
The Center for Applied Autonomous Sensor Systems (AASS), at Örebro University
(Sweden), is offering up to four PhD positions in Computer Science with the
focus on Machine Learning, Machine Reasoning, or integration of both.
Research at AASS is strongly focused on developing autonomous systems that can
collaborate with humans. We study methods for interpreting sensor data,
transforming sensor data into symbolic representations, integrating symbolic
and sub-symbolic methods, knowledge representation and awareness of humans,
social context, and norms for interaction.
Some of the positions in this call will be part of the Wallenberg AI,
Autonomous Systems and Software Program (WASP), Sweden's largest ever
individual research program, and a major national initiative for strategic
basic research, education, and faculty recruitment. The vision of WASP is
excellent research and competence in artificial intelligence, autonomous
systems, and software for the benefit of Swedish industry. For more
information about the research and other activities conducted within WASP
please visit: https://wasp-sweden.org/. In this case, the PhD students will
belong to the graduate school within WASP, which provides the skills needed to
analyze, develop, and contribute to the interdisciplinary area of AI,
autonomous systems, and software.
For further information on eligibility, funding and the application process
please visit:
https://www.oru.se/jobba-hos-oss/lediga-jobb/jobbannons/?jid=20210399
If you require any further information, feel free to contact me by email:
[email protected]
The application deadline is 2022-01-10. We look forward to receiving your
application!
Kind regards,
Marjan Alirezaie
Assistant Professor,
Machine Perception & Interaction Lab (MPI)<https://mpi.aass.oru.se/>
Örebro University, Örebro Sweden
Tel: +46 19 303785
Machine Reasoning
The Center for Applied Autonomous Sensor Systems (AASS), at Örebro University
(Sweden), is offering up to four PhD positions in Computer Science with the
focus on Machine Learning, Machine Reasoning, or integration of both.
Research at AASS is strongly focused on developing autonomous systems that can
collaborate with humans. We study methods for interpreting sensor data,
transforming sensor data into symbolic representations, integrating symbolic
and sub-symbolic methods, knowledge representation and awareness of humans,
social context, and norms for interaction.
Some of the positions in this call will be part of the Wallenberg AI,
Autonomous Systems and Software Program (WASP), Sweden's largest ever
individual research program, and a major national initiative for strategic
basic research, education, and faculty recruitment. The vision of WASP is
excellent research and competence in artificial intelligence, autonomous
systems, and software for the benefit of Swedish industry. For more
information about the research and other activities conducted within WASP
please visit: https://wasp-sweden.org/. In this case, the PhD students will
belong to the graduate school within WASP, which provides the skills needed to
analyze, develop, and contribute to the interdisciplinary area of AI,
autonomous systems, and software.
For further information on eligibility, funding and the application process
please visit:
https://www.oru.se/jobba-hos-oss/lediga-jobb/jobbannons/?jid=20210399
If you require any further information, feel free to contact me by email:
[email protected]
The application deadline is 2022-01-10. We look forward to receiving your
application!
Kind regards,
Marjan Alirezaie
Assistant Professor,
Machine Perception & Interaction Lab (MPI)<https://mpi.aass.oru.se/>
Örebro University, Örebro Sweden
Tel: +46 19 303785
PhD position in robot swarms
*Ph.D. Position in Robot Swarms*
The Computer Science & Engineering Department (CSE) at Lehigh University
(LU) has *a fully funded Ph.D. opening* in the areas of Robot Swarms.
Currently, active research topics include Multi-Robot Systems, Control
Algorithms, and Computational Geometry.
We are looking for excellent applicants with a Bachelor's or Master’s
degree in Electrical Engineering, Mechanical Engineering, Computer Science,
or related areas who are motivated to carry out leading research in
Robotics. The candidate should have a strong background and interest in one
or several of the following areas: algorithm design, control theory, aerial
robotics, and robot design. The candidates should be motivated and capable
of creatively working in a team environment.
*How to apply:* Please contact Prof. David Saldaña to discuss your
application and informal inquiries by email ([email protected]),
mentioning your background and briefly stating your motivation.
More information:
https://urldefense.com/v3/__https://davidsaldana.co__;!!LIr3w8kk_Xxm!74iEx1LZ2OACTOFMkINeMtcNAloYtR960kbDJ7T-UcwyhWeWLt9K8hoK64JKMOpddMQBVqBP$
Formal applications need to be submitted on the CSE System:
https://urldefense.com/v3/__https://engineering.lehigh.edu/cse/academics/graduate/admissions__;!!LIr3w8kk_Xxm!74iEx1LZ2OACTOFMkINeMtcNAloYtR960kbDJ7T-UcwyhWeWLt9K8hoK64JKMOpddIsRsGPW$
*Ph.D. Position in Robot Swarms*
The Computer Science & Engineering Department (CSE) at Lehigh University
(LU) has *a fully funded Ph.D. opening* in the areas of Robot Swarms.
Currently, active research topics include Multi-Robot Systems, Control
Algorithms, and Computational Geometry.
We are looking for excellent applicants with a Bachelor's or Master’s
degree in Electrical Engineering, Mechanical Engineering, Computer Science,
or related areas who are motivated to carry out leading research in
Robotics. The candidate should have a strong background and interest in one
or several of the following areas: algorithm design, control theory, aerial
robotics, and robot design. The candidates should be motivated and capable
of creatively working in a team environment.
*How to apply:* Please contact Prof. David Saldaña to discuss your
application and informal inquiries by email ([email protected]),
mentioning your background and briefly stating your motivation.
More information:
https://urldefense.com/v3/__https://davidsaldana.co__;!!LIr3w8kk_Xxm!74iEx1LZ2OACTOFMkINeMtcNAloYtR960kbDJ7T-UcwyhWeWLt9K8hoK64JKMOpddMQBVqBP$
Formal applications need to be submitted on the CSE System:
https://urldefense.com/v3/__https://engineering.lehigh.edu/cse/academics/graduate/admissions__;!!LIr3w8kk_Xxm!74iEx1LZ2OACTOFMkINeMtcNAloYtR960kbDJ7T-UcwyhWeWLt9K8hoK64JKMOpddIsRsGPW$
engineering.lehigh.edu
Graduate Admissions Process | P.C. Rossin College of Engineering & Applied Science
Admissions decisions rest solely with the Department of Computer Science and Engineering. Students enrolled in other graduate programs at Lehigh seeking to join the department must follow the regular application process.Minimum Academic RequirementsBachelor's…
Postdoctoral Scholar at the University of California Santa Barbara
The Yu Emotion Science, or YES Lab (https://yeslab.psych.ucsb.edu/), within the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (https://psych.ucsb.edu/), is seeking applications for an open, full-time Postdoctoral Scholar position with an anticipated start date of July 1, 2022, although the start date is flexible.
The Postdoctoral Scholar will work closely with the Principal Investigator, Dr. Hongbo Yu, to establish the lab in its new home at UCSB. The duties of the Postdoctoral Scholar will include study design and execution (e.g., programming online and laboratory tasks, collecting and analyzing behavioral and neuroimaging data), writing up research papers and grant applications, presenting research projects within the department and on conferences, and supervising undergraduate and graduate students.
The YES Lab seeks to understand the relation between emotion and morality, and how they are implemented in the brain. To answer these questions, we adopt a wide range of methods, including behavioral experiments, neuroimaging, computational modeling, psychophysiological recording (e.g., eye-tracking, skin conductance, etc.), and natural language processing. We also emphasize an interdisciplinary approach. Our research is inspired by and has implications for philosophy, behavioral economics, psychiatry, history, and anthropology.
The Postdoctoral Scholar will have the opportunity to build connections with stellar scientists within the broader area of brain/mind research by participating in activities at the SAGE Center for the Study of the Mind (https://www.sagecenter.ucsb.edu). Successful applicants will also have the opportunities to engage further with the SAGE Center through the SAGE Junior Fellows Program (https://www.sagecenter.ucsb.edu/fellowships).
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position
Apply link: https://recruit.ap.ucsb.edu/JPF02144
Help contact: [email protected]
QUALIFICATIONS
Basic qualifications (required at time of application)
Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application in psychology, cognitive neuroscience, computer science, or a related field.
Additional qualifications (required at time of start)
Five years minimum research experience (including the years towards doctoral degree) in psychology, cognitive neuroscience, computer science, or a related field, supported by a strong publication record, is required.
PhD must be conferred by the start of appointment.
Preferred qualifications
Applicants with training and experience in a subset of these areas will be given priority: advanced functional MRI analysis (e.g., pattern-based classification, representational similarity analysis, functional connectivity) and data sharing (e.g., BIDS and OpenNeuro), computational modeling of behavioral and neural data, natural language processing, strong theoretical training in social psychology, moral cognition and moral philosophy. The qualified applicant should be proficient in at least one, preferably multiple, programming language (e.g., MATLAB, Python, R) and be willing to learn others when needed.
APPLICATION REQUIREMENTS
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Describing your qualifications, research interests and career goals
Representative Publication #1
Representative Publication #2
Reference requirements
2 required (contact information only)
Applicants that are strongly considered will have their references contacted prior to selection for interview.
Apply link: https://recruit.ap.ucsb.edu/JPF02144
Help contact: [email protected]
CAMPUS INFORMATION
The Yu Emotion Science, or YES Lab (https://yeslab.psych.ucsb.edu/), within the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (https://psych.ucsb.edu/), is seeking applications for an open, full-time Postdoctoral Scholar position with an anticipated start date of July 1, 2022, although the start date is flexible.
The Postdoctoral Scholar will work closely with the Principal Investigator, Dr. Hongbo Yu, to establish the lab in its new home at UCSB. The duties of the Postdoctoral Scholar will include study design and execution (e.g., programming online and laboratory tasks, collecting and analyzing behavioral and neuroimaging data), writing up research papers and grant applications, presenting research projects within the department and on conferences, and supervising undergraduate and graduate students.
The YES Lab seeks to understand the relation between emotion and morality, and how they are implemented in the brain. To answer these questions, we adopt a wide range of methods, including behavioral experiments, neuroimaging, computational modeling, psychophysiological recording (e.g., eye-tracking, skin conductance, etc.), and natural language processing. We also emphasize an interdisciplinary approach. Our research is inspired by and has implications for philosophy, behavioral economics, psychiatry, history, and anthropology.
The Postdoctoral Scholar will have the opportunity to build connections with stellar scientists within the broader area of brain/mind research by participating in activities at the SAGE Center for the Study of the Mind (https://www.sagecenter.ucsb.edu). Successful applicants will also have the opportunities to engage further with the SAGE Center through the SAGE Junior Fellows Program (https://www.sagecenter.ucsb.edu/fellowships).
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position
Apply link: https://recruit.ap.ucsb.edu/JPF02144
Help contact: [email protected]
QUALIFICATIONS
Basic qualifications (required at time of application)
Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation at the time of application in psychology, cognitive neuroscience, computer science, or a related field.
Additional qualifications (required at time of start)
Five years minimum research experience (including the years towards doctoral degree) in psychology, cognitive neuroscience, computer science, or a related field, supported by a strong publication record, is required.
PhD must be conferred by the start of appointment.
Preferred qualifications
Applicants with training and experience in a subset of these areas will be given priority: advanced functional MRI analysis (e.g., pattern-based classification, representational similarity analysis, functional connectivity) and data sharing (e.g., BIDS and OpenNeuro), computational modeling of behavioral and neural data, natural language processing, strong theoretical training in social psychology, moral cognition and moral philosophy. The qualified applicant should be proficient in at least one, preferably multiple, programming language (e.g., MATLAB, Python, R) and be willing to learn others when needed.
APPLICATION REQUIREMENTS
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Describing your qualifications, research interests and career goals
Representative Publication #1
Representative Publication #2
Reference requirements
2 required (contact information only)
Applicants that are strongly considered will have their references contacted prior to selection for interview.
Apply link: https://recruit.ap.ucsb.edu/JPF02144
Help contact: [email protected]
CAMPUS INFORMATION
yeslab.psych.ucsb.edu
Yu Emotion Science | Psychological & Brain Sciences | UC Santa Barbara
We chart the moral landscape of individuals and societies to understand how emotions emerge from “upheavals of thought”.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. New University of California employees must (a) provide proof of receiving at least one dose of a COVID-19 Vaccine no later than 14 calendar days after their first date of employment and provide proof of Full Vaccination no later than eight weeks after their first date of employment; or (b) if applicable, submit a request for Exception or Deferral no later than 14 calendar days after their first date of employment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
JOB LOCATION
Santa Barbara, CA
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. New University of California employees must (a) provide proof of receiving at least one dose of a COVID-19 Vaccine no later than 14 calendar days after their first date of employment and provide proof of Full Vaccination no later than eight weeks after their first date of employment; or (b) if applicable, submit a request for Exception or Deferral no later than 14 calendar days after their first date of employment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
JOB LOCATION
Santa Barbara, CA