Postdoctoral Associate in Child Psychopathology at Yale Child Study Center


We are seeking an exceptional, motivated, and creative Postdoctoral Associate to be involved in prospective studies of infants with elevated likelihood for Autism Spectrum Disorders (ASD) as well as toddlers with ASD. The Associate will join an interdisciplinary research team at the Social and Affective Neuroscience of Autism Program: https://medicine.yale.edu/lab/chawarska/.



The postdoctoral associate will work as part of the Yale Autism Center of Excellence (ACE) Program Project (ace.yale.edu) team at the Yale Child Study Center (CSC) led by Prof. Chawarska. The Yale NIH ACE Research project represents a joint effort across child psychiatry, pediatrics, radiology, and statistics and data science departments at Yale. The ACE project aims to identify prenatal and neonatal brain processes contributing to development of autism.



During the two-year postdoctoral program, the associate will be expected to lead and participate in the development and implementation of novel eye-tracking, MRI, fNIRS, and behavioral protocols targeting early markers of core and co-occurring features in autism. The postdoctoral associate will also be expected to take a leadership role on data analysis and manuscript preparation based on the extensive data collection through the ACE and SANA research programs. The postdoctoral associate will train and supervise research staff and students and assist with data management. Other responsibilities may include assisting with behavioral, physiological and neuroimaging studies as well as in grant writing. Candidates with a strong methodological background, statistical skills, expertise in eye-tracking, MRI, and fNIRS, as well as in programming, excellent communication skills, and a strong publication record will be reviewed favorably.



Anticipated start date is July 1, 2022. The priority application deadline is January 15, 2022. Please visit our lab website for application instructions and more information about the position: https://medicine.yale.edu/lab/chawarska/jobs/psychology/



Position Category: Postdoctoral



Name of Lab: Yale Social and Affective Neuroscience of Autism (SANA) Program



Name of Supervisor: Katarzyna Chawarska, PhD



Closing Date: Open until filled (priority deadline: January 15, 2022)



Emma Brennan-Wydra, MSI

Pronouns: she/her/hers [what’s this?]

Data Manager, Social and Affective Neuroscience of Autism Program

Yale Child Study Center

c: 617-306-7350 | e: [email protected]
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Postdoc on Document Analysis & Recognition at NC State University, USA
Dear all,

We have a postdoc opening on developing Arabic handwritten text recognition systems at the NC State University, North Carolina, USA.

No Arabic knowledge is needed but please make sure that you are good at deep learning and you are in one of the following fields: document analysis, computer vision, and image processing. You will be jointly supervised by a humanity faculty member and an ECE faculty member (me).

More details about the opening including the application link can be found here:
https://jobs.ncsu.edu/postings/152807

If you have any questions, please don't hesitate to let me know. I also highly appreciate it if you could forward this opening to relevant parties.

Sincerely,
Chau-Wai Wong
Assistant Professor
ECE, NC State University
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Postdoc on vision-based human body-tracking for healthcare applications (Brest, France)
Topic: Vision-based human body-tracking for healthcare applications
Domain: Computer Vision (Computer Science, Artificial Intelligence)
Project: ECFvisuL
Contract duration: 18 months
Geographic location: Brest, France
Department: RAMBO team, Computer Science Department, IMT Atlantique
Minimum degree required: Doctorate (PhD)
Starting date: As soon as possible, 1 January 2023 at latest
Gross annual salary: Between 34 400 € and 35 650 € (depending on your experience)
Application deadline: 31 January 2022
Apply here: https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois


1. ENVIRONMENT

The postdoctorate will be located at IMT Atlantique, on its Brest campus, in the RAMBO team [1] (member of Lab-STICC laboratory, mixed research unit of CNRS #6285) and supervised by the associate professors Mihai Andries [2] and Panagiotis Papadakis [3]. The research domains of the RAMBO team are Cognitive Robotics, Robot Learning, Ambient assisted living and Human-robot interaction. The team possesses a LivingLab for e-Health/Smart Living Experiment'HAAL [4], equipped with sensors for tracking human activity, where experiments related to the project can be performed, as well as a GERT ageing simulator.

This project is part of the RAMBO research activities on ageing-at-home and is complementary to our ongoing research on the recognition of activities of daily living (ADL).

[1] https://www.imt-atlantique.fr/en/research-innovation/teams/research-team-rambo
[2] https://mihai.andries.eu/
[3] https://sites.google.com/site/pgpapadakis
[4] https://www.imt-atlantique.fr/sites/default/files/recherche/plateformes/en/experiment_haal.pdf


2. MISSION

Functional capacity evaluation (FCE) is a set of dynamical tests consisting of functional evaluations (sitting, kneeling, standing, bending, climbing a staircase, grasping an object, lifting, carrying, etc.) which provide information on the capacity of a person do act in a work environment. FCE is currently used by employers and medical professionals to decide when an employee is ready to return to work but it can be more broadly used as an indicator of human musculoskeletal health.

We propose to develop an automatic solution for continuous FCE in a domestic environment on the basis of a Computer Vision system for tracking human body posture. Such a system would acquire more temporal data on the musculoskeletal capacity of a human than a typical doctor during an FCE session, producing more robust evaluation results.


3. SKILLS AND ABILITIES:

Knowledge:
Required:
* know statistics;
* know machine learning techniques for human-body posture recognition;
* know English Language (B2 level at least).

Desirable:
* know the scientific literature on musculoskeletal disorders;
* know how to conceive experiments on physical capacity evaluation;
* know how to write scientific articles.

Competences :
Required:
* apply machine learning techniques for human activity recognition;
* apply machine learning techniques for visual estimation of carried weight;
* present your research work to a scientific audience, as well as to the general public.

Desirable:
* use a 3D motion capture device (like Optitrack);
* use software for visual recognition of human-body posture (like MargiPose or Skeleton Tracking SDK);
* use inertial sensors.

Personal traits:
* be able to work in a team;
* be able to communicate regularly with your colleagues and supervisors.


4. HOW TO SUBMIT YOUR APPLICATION ?

Please submit your application through the Recruitee [5] system.

[5] https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois

You will need:
* your CV,
* a motivation letter,
* a copy of your doctorate diploma, and
* contact details of two referees.

Eligibility criteria apply regarding candidate's mobility: the postdoctoral candidate must have spent at least 18 months outside of France between 1 May 2018 and the contract starting date.
Applications will be processed on a continuous basis.
The deadline for submitting your application is 31 January 2022 .

For any questions regarding this position, please contact Mihai Andries at [email protected]


5. REFERENCES

* Devanne, Maxime, and Panagiotis Papadakis.
"Recognition of activities of daily living via hierarchical long-short term memory networks."
In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3318-3324. IEEE, 2019.
https://ieeexplore.ieee.org/document/8914457

* C. Le Bono, P. Papadakis, C. Buche,
Assessment of Conformal Use of Personal Protective Equipment by Object and Human Pose Recognition,
IEEE International Conference on Safety, Security and Rescue Robotics (SSRR), 2020
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03001159/document

* Andries, Mihai.
"Object and human tracking, and robot control through a load sensing floor."
PhD diss., Université de Lorraine, 2015.
https://hal.inria.fr/tel-01252938/file/thesis.pdf


6. BREST

Brest is a middle-sized town on the French Atlantic coast, home to a population of nearly 140 thousand people in 2018. Located near the western tip of the Brittany peninsula, it has a temperate oceanic climate, with mild summers and wet winters.

Almost entirely destroyed during WW2, the city center was rebuilt in Art Deco style. Historical monuments include the Brest castle, the Tanguy tower, and the Saint-Louis church. Gastronomically, Brittany is known for its galettes, crêpes, the Far breton and the Kouign Amann. Profiting from its beautiful coastline, Brest offers plenty of summer water activities. The Blancs Sablons beach, popular among the locals, is only 25 minutes away by car. The picturesque GR34 coastline trail [6] is famous among hikers.

Brest hosts offices of Naval Group, THALES, Dassault Systemes, Ifremer, Université Bretagne occidentale and IMT Atlantique, among others. Brest is connected by high-speed rail to Rennes (2h) and Paris (3h45). The Brest international airport [7] offers direct flights to Lisbon and Porto, Majorca, and Heraklion in Greece, as well as to national destinations like Nice, Lyon, and Toulouse.

[6] https://en.wikipedia.org/wiki/GR_34
[7] https://www.brest.aeroport.bzh/accueil
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Post doctoral position on time series analysis of,data living on the SPD manifold
We are seeking an outstanding postdoctoral research fellow with experience in deep learning / machine learning to work with us at Caen University, France during one year on a project investigating the analysis of time series of data corresponding to SPD matrices. The challenge here will be to define machine learning methods and more specifically deep learning methods (either convolutional or recursive) to analyze these data by using all the interesting properties of this specific manifold.


Context

The postdoctoral position is funded for one year under the research project PredictAlert supported by the Region Normandy (France). The PredictAlert project gathers engineering schools and universities around the design of a better understanding of the brain states during different states of wakefulness.

Objectives and challenges

The project is based on data from a cohort being currently acquired. It includes EEG and MRI acquisitions performed while subjects are falling asleep for a nap. In both cases, an acquisition in a given time window, is characterized by a SPD matrix. Each entry of this matrix correspond either to a correlation between two sensors in the case of an EEG acquisition or a correlation between two brain’s zones in the case of an IRM acquisition.
In a first step the candidate will have to work on EEG acquisitions in order to design a deep learning algorithm predicting quantified levels of wakefulness along long EEG sequences. Convolutional [1, 3] or recurrent [2, 4] networks on the SPD manifold will be both studded and evaluated before a focus on the more promising approach.



While functional IRM sequences may also be characterized as time series of SPD matrices, these sequences are based on data with a much better spatial resolution than EEGs. This come at the price of a much lower temporal resolution compared EEG acquisitions. The candidate will have to adapt the work already done on EEG data to functional IRM datum and to compare both results.

Candidate profile



The candidate must have a recent Ph.D. (within 5 years) in Computer science (or Applied Mathematics) in the field of Machine Learning.

Knowledge and experience within Deep Learning frameworks is highly recommended.

The candidate will perform research and algorithmic developments and solid programming skills are required.

Interpersonal skills and the ability to work well individually or as a member of a project team are recommended.

Good written and verbal communication skills are required, the candidate has to be fluent in spoken French or English and written English. Working language can be English or French.

Location


Caen, France in the GREYC UMR CNRS laboratory. Situated in the Normandy region of France close to the sea and about 240km west of Paris the city still has many old quarters, a population of around 120,000 the city area has roughly 250,000 inhabitants. Some photos

Application

Interested candidates should submit their application to

[email protected] and

[email protected]

Please include in your application email one Curriculum Vitae, one statement of research letter explaining your interest and your skills for this position, and 2 reference letters (all in a single PDF file). Applications will be admitted until the position is filled.

Additional information


Host institution: ENSICAEN, University of Caen Normandy and CNRS, GREYC laboratory (UMR 6072)
Gross Salary: between 2339 and 3268 euros per month according to experience (charges included)
Duration: 12 months.
Starting date: from January 2020
Advantages: Possibility of French courses, participation in transport costs, possibility of restoration on site.

References

[1] Rudrasis Chakraborty, Jose Bouza, Jonathan Manton, and Baba C Vemuri. Manifoldnet: A deep neural network for manifold-valued data with appli-
cations. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2020.
[2] Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, and Baba Vemuri. A statistical recurrent model on the manifold of symmetric positive definite matrices. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 31. Curran Associates, Inc., 2018.
[3] Xuan Son Nguyen, Luc Brun, Olivier Lezoray, and Sébastien Bougleux. A neural network based on SPD manifold learning for skeleton-based hand
gesture recognition. In IEEE Conference on Computer Vision and Pattern Regognition (CVPR), Long Beach, United States, 2019.
[4] Xuan Son Nguyen, Luc Brun, Olivier Lézoray, and Sébastien Bougleux. Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition. In International Conference on Pattern Recognition (ICPR -IEEE), Milan (virtual), Italy, 2021.
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Ph.D. Position: Machine Learning in Audio, TU Ilmenau, Germany
The Applied Media Systems group of Ilmenau University of Technology in Ilmenau, Germany, is looking for candidates for a half-time Ph.D position (20 hours/week), in the area of machine learning for audio. The duties include teaching seminars and supervising students in Media Technology and Electrical Engineering.

Duration: starting with 3 years, can be extended up to 6 years.

Starting date: February 1st, 2022.

Our group works on audio coding, filter banks, autoencoders, stochastic optimization, audio and musical source separation.
The ideal candidate will have solid knowledge in digital signal processing and machine learning for audio and video.
Requirement: Master's in electrical engineering or similar, with focus on digital signal processing and/or machine learning for audio and/or video.
Essential is curiosity for learning, ideas, and ingenuity.

If you are interested, send me an email, with a few of your main achievements:
[email protected]

The official applications link is:
https://jobundkarriere.tu-ilmenau.de/jobposting/f8e166014bb5382777de6fee7cb10d877f98a70b0

Our groups website is:
https://www.tu-ilmenau.de/mt-ams

Many greetings,
Gerald Schuller
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Postdoc position in miniaturized flexures
for robotic surgery at University of Twente

The Surgical Robotics Lab
(https://urldefense.com/v3/__https://surgicalroboticslab.nl/__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zy9EaPQ9c$ )
and the Precision Engineering Laboratory
(https://urldefense.com/v3/__https://www.utwente.nl/en/et/ms3/research-chairs/pe/*pe-lab__;Iw!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyzOg79Va$ )
of the University of Twente have a vacancy for a Postdoctoral Research Fellow
within the research area of flexure-based design of miniaturized tools for
applications in minimally invasive surgery (FlexMi). The FlexMi project aims
to use a model-based design methodology to develop a new class of flexure-
based robotic devices that work in tandem with remote magnetic actuation
systems to broaden the scope of minimally invasive surgery.

The successful applicant has (or will shortly) a PhD in mechanical
engineering, biomechanical engineering, applied physics or in a closely
related discipline. He or she possesses excellent skills and practical
experience in one or more of the following research areas: mechanical design,
non-linear mechanical modelling, system dynamics and mechatronics. Experience
at the intersection of one or more of these areas is desirable. Hands-on
experience with designing and executing experience is preferred. Fluency in
English is required.

We offer a challenging fulltime position for two years in an inspiring
multidisciplinary and international environment. Gross salary between €
3.408,- and € 4.474,- per month depending on experience and qualifications.
Additionally, the University of Twente provides excellent facilities for
professional and personal development, a holiday allowance and an end-of-year
bonus, and a lively and green campus with many facilities for sports and other
extracurricular activities. Your main responsibility will be to carry out
research, but you will be given the opportunity to acquire some teaching
experience and supervise students in Master and Bachelor projects as well.

Please apply through the following link.
https://urldefense.com/v3/__https://www.utwente.nl/en/organisation/careers/!/296/postdoc-position-in-miniaturized-flexure-joints-for-robotic-surgery-flexmi__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyxPdLuek$

The application deadline is January 31, 2022.
Questions regarding this position can be directed to Dr.ir. Jan de Jong,
PDEng: [email protected]<mailto:[email protected]> and Dr. Venkat
Kalpathy Venkiteswaran:
[email protected]<mailto:[email protected]> .

Regards,
Venkat

Venkatasubramanian Kalpathy Venkiteswaran
Assistant Professor
Department of Biomechanical Engineering
University of Twente
Email: [email protected]
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Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China



Position Description

Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece.

The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year.



Position Location

The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China



Subject Areas

Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics.



Salary

1800~2200 EUR net per month.



Application Deadline

December 31st, 2022



Duration of the contract

The duration of the contract is 24~36 months, and can be extended up to 48 months.



Salary

a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University.



b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year.



Note: The Living expenses in Kaifeng is relatively low. For instance,

Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month.



Requirements/Qualifications

1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields.



2. At the time of appointment, the applicants must be no more than 35 years old in age.



3. The applicants should have good publication records in the above-mentioned fields.



About Aristotle University of Thessaloniki, Greece

Artificial Intelligence and Information Analysis Lab (https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded).

The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications.

It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics.

Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021.



Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision.



Homepage: https://aiia.csd.auth.gr/computer-vision-machine-learning/#people

https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en



About Henan University and KaiFeng, China

Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see https://en.henu.edu.cn/.



KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see

https://en.wikipedia.org/wiki/Kaifeng.



How to apply

Applications are only accepted via Email.



All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at [email protected] and [email protected], with the email subject ''Postdoc application'':

- 1. A cover letter

- 2. Full CV and list of publications

- 3. Two reference letters.



If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email.
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Multiple PhD and postdoctoral positions @ University of Stuttgart / CyberValley
The Machine Learning and Simulation Science (MLSim) research group is led by Mathias Niepert, a full professor (W3) at the University of Stuttgart (official start date: 1/1/2022). Homepage: https://matlog.net

The group will be part of the Cluster of Excellence for the Simulation Sciences (SimTech) and the department of Computer Science at the University of Stuttgart. Mathias is also a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and his professorship will be part of the wider CyberValley ecosystem. The University of Stuttgart has also a unit in the ELLIS network.

The MLSim group is working on core machine learning research with a focus on graph neural networks and geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, ICLR) please take a look at the publication section of this website and visit our video channel.

For more information about Mathias Niepert and the MLSim group, please visit the following website: https://matlog.net/phd-postdoc.html

The MLSim group has multiple PhD positions (100% TV-L E13) open:

If you have a Master's degree you can apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de, clearly indicating that you are applying to the group of Mathias Niepert. The Master's degree should be related to ML/AI topics or in physics/engineering/the simulation sciences. The research statement should outline some prior work and the kind of research you would be excited to conduct in the future. Please make sure that it relates your interests and goals to the publications and research topics (see above) of the group. Please note that PhDs in Germany are not considered students but are full-time employees of the university with social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022.

Feel free to reach out to me personally (mniepert at gmail dot com) if you have questions about the positions and/or life in Germany.

Postdoctoral position (100% TV-L E13/A13)
The MLSim group has a postdoc position available. Please apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de. Clearly indicate that you are applying to the group of Mathias Niepert. The research statement should outline prior work and the kind of research you would be excited to work on. Please make sure that the statement relates your interests and future goals to the publications and topics (see above) of the group. Postdoctoral researchers in Germany are full-time employees of the university with comprehensive social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022. Please feel free to reach out to me if you have any questions about the position and/or life in Germany.
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Postdoctoral Researcher position at Microsoft Research New York City in FATE
Dear colleagues –



The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City (MSR NYC) is looking for a Postdoctoral Researcher to start July 2022 (deadline December 15 for full consideration). This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the societal implications of AI and machine learning.



Job Posting: https://careers.microsoft.com/us/en/job/1200448/Post-Doc-Researcher-FATE-Microsoft-Research

FATE Group: https://www.microsoft.com/en-us/research/group/fate/



The Postdoctoral Researcher will have the opportunity to pursue
their own research agenda while interacting with prominent researchers and
practitioners. The FATE research group at MSR NYC currently includes Solon
Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna
Wallach, and Jennifer Wortman Vaughan, and has close collaborations with
researchers at MSR FATE Montréal (Nicolas Le Roux, Q. Vera Liao, Alexandra
Olteanu, and Koustuv Saha) as well as other parts of Microsoft. The Postdoc
will also receive a competitive salary and benefits package and are eligible
for relocation expenses.


We are also hiring a postdoc whose work bridges machine learning

any any of our other focus areas (including FATE), which you may also be
interested in: https://careers.microsoft.com/us/en/job/1196274/Post-Doc-Researcher-Machine-Learning-Interdisciplinary-Microsoft-Research. And we're also looking for
interns: https://careers.microsoft.com/us/en/job/1191774/Research-Intern-Fairness-Accountability-Transparency-and-Ethics



Microsoft Research offers an exhilarating and supportive
environment for cutting-edge, multidisciplinary research, both theoretical and
applied, with access to an extraordinary diversity of data sources, an open
publications policy, and close links to top academic institutions around the
world.



We seek applicants with a demonstrated interest in FATE-related
topics and a desire to work in a highly interdisciplinary environment that
includes researchers from computer science, statistics, social sciences,
humanities, and other fields. Applicants should have a well-established
research track record, evidenced by notable journal or conference publications
and broader contributions to the research community.



We welcome candidates with a background in a technical field (such
as machine learning, AI, statistics, NLP, computer vision, and related fields)
as well as candidates with a socio-technical orientation (such as those in HCI,
information science, sociology, anthropology, science and technology studies,
media studies, law, history of science, and related fields).


Applicants must have completed their PhD, including submission of
their dissertation, prior to joining MSR NYC (i.e., dissertation submitted, and
degree preferably conferred by July 2022). We encourage candidates with
tenure-track job offers from other institutions to apply, provided they are
able to defer their start date by at least one year to accept our position.


We are committed to building an inclusive, diverse, and
pluralistic research environment and strongly encourage applications from
women, minorities, individuals with disabilities, veterans, as well as students
with non-traditional backgrounds. We work collectively to make Microsoft
Research a welcoming and conducive space for all researchers.


To be assured of full consideration, all application materials,
including reference letters, need to be received by December 15, 2021.
Applications received after that date may or may not be considered.


Please feel free to contact Hal Daumé [email protected]
or Kate Crawford [email protected] (or
any other member of the group) if you have any questions.
✔️ @ApplyTime

3 PhD and 3 PostDoc positions in Geometry, Probability and Deep Learning at NTU Singapore
Expressions of interest are invited for 3 doctoral and 3 postdoctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an excellent research background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.

The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The postdoctoral positions are for 2 years with optional prolongation to 3 years, and the doctoral positions for 2-5 years. All positions come with an attractive salary package. The expected starting date is mid 2022.

If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms <[email protected]> as soon as possible. The search will continue until the positions are filled.
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PhD position in computational biology, Aalto University, Finland
Hi,

We have an open PhD position in computational biology at the department of Computer Science, Aalto University, Finland. See

https://www.jobs.ac.uk/job/CLI570/phd-position-in-computer-science

The PhD project is to develop computational methods to study multimodality and dynamics in single cell data. The Phd advisors are Dr Lu Cheng (https://scholar.google.fi/citations?user=Zy14QK0AAAAJ&hl=en) and Prof. Aki Vehtari (https://users.aalto.fi/~ave/).

The salary is 2300-3000 eur/month.

The position starts from January 1, 2022 or later.

Lu Cheng
Academy Research Fellow
Department of Computer Science
Aalto University, Finland
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Openings - research collaborator (PhD / postdoc) in representation learning, Center for Artificial Intelligence and Robotics, University of Applied Sciences Würzburg-Schweinfurt
Dear all,

I have research collaborator (PhD or postdoc level) positions available at the newly established Center for Artificial Intelligence and Robotics (CAIRO) of the University of Applied Sciences Würzburg-Schweinfurt (FHWS), Germany.

Preferred research topics include (but are not limited to) generative models (VAE, INN, etc.) for density estimation and representation learning for downstream tasks (such as learned compression, inverse problems and uncertainty calibration), and few shot learning aimed at robotic applications.

The positions are German TVL13 with expected net salary 2000-2600EUR, based in Würzburg, Germany (in the northwest of Bavaria). The contract duration is 4 yrs for the PhD, 2-3yrs for postdoc. The PhD shall be co-supervised by another university professor (tbd based on the research topic). The successful candidate shall join the research team of CAIRO, a new data science competence center of the Bavarian-AI network founded at the FHWS under the Hightech Agenda Bayern. The candidate shall benefit from research collaboration opportunities within the CAIRO center as well as with other research centers in the Institut Digital Engineering (IDEE) of FHWS.

I seek strongly motivated self-driven candidates wishing to develop their research competences (ample training opportunities), and dedicate to delivering solid research results. The PhD candidates shall have good background in math, probability and statistics, programming and preferably at least basics of ML/DL. They shall hold a MSc degree (or be close to obtaining one) in a technical field with these in the curriculum. The postdoc candidate shall have relevant publication record and be able to outline and develop research in ML/DL. Excellent level of spoken and written English is a must.

Interested candidates shall sent to [email protected] by 31st December 2021:
1. Academic CV (including list of publications)
2. Academic transcript (BSc, MSc)
3. Motivation letter (500words)
4. Research proposal (500words)
5. Contact details of 2 referees (no need for reference letters)

Should you have any questions, do not hesitate to contact me at [email protected]

Magda

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About CAIRO: Center for Artificial Intelligence and Robotics is a new research center established at the FHWS under the Hightech Agenda Bayern. The objective of the Center is to take up current topics in artificial intelligence and research them for the sake of society while facilitating effective knowledge transfer to the practical domain within various industry sectors. The focus is also on a more holistic understanding of AI – as opposed to isolated individual scenarios, which is the typical practice today. Ethical and legal aspects of AI will play an important role.
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About Würzburg: The city of Würzburg is located in Lower Franconia in the northwest of Bavaria and is well-known for its exquisite wines. With 130,000 inhabitants, Würzburg is not the largest city in Bavaria, but it sure has a lot to offer! In addition to flourishing culture and entertainment, Würzburg is characterised by its vineyards, the central Ringpark and the riverbank of the Main. The river extends several kilometres through the city and invites you to relax on the banks with its numerous trees and meadows.
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Prof. Dr. Magda Gregorová

Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt
Fakultät Informatik und Wirtschaftsinformatik
Kompetenzzentrum für Künstliche Intelligenz und Robotik

University of Applied Sciences Würzburg-Schweinfurt
Faculty Computer Science and Business Information Systems
CAIRO - Center for Artificial Intelligence and Robotics✔️ @ApplyTime

PostDoc Position | Deadline: 9 January
For your research, you will collaborate with Prof. Karen Phalet and her collaborator(s), who are all part of the research Center for Social and Cultural Psychology at the Faculty of Psychology and Educational Sciences. Their research group is an international and performant research environment, consisting of 5 professors and 18 PhD students and postdocs.

Responsibilities
Because a growing number of people are seeking international protection, it is urgent to examine how their adjustment to the receiving countries can be facilitated. Migration trajectories of asylum seekers and refugees (i.e., displaced migrants) are often marked by broken relationships, loss of social support, and cumulated social exclusions. At the cross-roads of social, cultural and political psychology, this project employs an ego-centered social network approach and examines proximal social environments as spaces enabling resilience of displaced migrants, while concurrently sustaining host society members' engagement in solidarity-based actions in support of displaced migrants. The RESONET project is supported by a multilateral funding scheme uniting the Katholieke Universiteit Leuven, Université Libre de Bruxelles, and Université de Lausanne, to investigate from different theoretical and methodological angles how intercultural ties between displaced migrants and host society members are created and sustained.

Profile
A doctoral degree in social psychology, sociology, anthropology, or a closely related field
Excellent knowledge of qualitative methods, such as content analysis
Competence in discourse analysis, dyadic interviewing or social networks analysis is an asset
Research interest and/or expertise in migration studies
Knowledge and/or connectedness with solidarity initiatives in Belgium is an asset
Fluent in Dutch and English (written and oral).
Knowledge of French, Arabic or Pashto is an asset (but not a requirement)
Ability to work well in teams and engage in fieldwork activities
Offer
A two-years full-time post-doctoral position open at the Center of Social and Cultural Psychology to study relational challenges and opportunities in emerging social ties between volunteers engaged in solidarity initiatives and displaced migrants.
A supportive and challenging international research and training environment at their university, bringing together social and cultural psychologists from diverse backgrounds with a common interest and agenda in researching diversity, inequality and inclusion/exclusion. You will also be part of ResoNET, an interuniversity and international collaborative project team with 5 senior researchers and 3 experienced researchers.
Interested?
For more information please contact dr. Emanuele Politi, tel.: +32 16 32 79 05, mail: [email protected] or Prof. dr. Karen Phalet, tel.: +32 16 32 62 17, mail: [email protected].

You can apply for this job no later than January 09, 2022 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact their at [email protected].

@ApplyTime

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.

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

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

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

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