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Full-time post-doc position (2 years) in machine learning in Sweden

Dear all,

the deadline for this position has been extended until the 30.09.2021. Please get in touch if you want to know more about the opportunity.

Summary:
Örebro University currently has an open full-time post-doctoral researcher position (2 years) in a new research group for machine learning. The position is hosted at the Center for Applied Autonomous Sensor Systems (AASS) and affiliated to the Autonomous Mobile Manipulation lab (AMM).
We offer the opportunity to work on current and relevant problems in machine learning and robotics. The focus is on the development of methods for (direction 1) continual learning and dataset shift with efficient and interpretable models or (direction 2) reinforcement learning with continual adaptation and dataset shift (e.g. meta and transfer learning approaches). Prior knowledge, experience, and interest in (direction 1) probabilistic machine learning, statistical learning, Gaussian Process, or (direction 2) reinforcement learning in continuous spaces, deep learning, and robotic perception and control are advantageous for this position.

The ideal candidate is expected to:
- have or be within reach of a doctoral degree in a subject matter relevant for the position
- demonstrate a strong background in computer science, machine learning, or robotics
- be motivated and capable to undertake research at an international level
- have a strong mathematical background
- have prior research experience in the areas of machine learning
- have a track record of high-quality publications in the areas of machine learning or robotics
- have excellent programming skills
- have excellent communication skills in English

About the research center: https://www.oru.se/aass

About the lab: https://amm.aass.oru.se/

About WASP: https://wasp-sweden.org/

Interested applicants are directed to https://www.oru.se/jointheAIteam for more information and to use the online application system. Applications by e-mail are not processed.

Best,

Todor

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Research assistant with Kessler Foundation

Dr. Joshua Sandry at Montclair State University is inviting applicants for a research assistant position to work on a project in collaboration with Kessler Foundation. The project focuses on examining neural correlates of working memory in individuals with traumatic brain injury.



Responsibilities may include the following:

Recruit/enroll research participants
Schedule and coordinate study visits
Interview participants according to research protocols
Administer neuropsychological test batteries
Coordinate/monitor MRI data collection
Conduct and/or assist with data analyses
Manage electronic and paper databases
Assist with the preparation of grant applications (including the preparation of supporting documents, editing of the proposal, literature reviews), manunoscripts, and presentations.
Qualifications include the following:

Bachelor's degree in behavioral or biological sciences or a related discipline
Previous experience in academic and/or clinical research
Excellent administrative and problem-solving skills
Proficient computer skills (especially Word and Excel); and
Strong communication/writing skills
Candidates must be comfortable working in a medical setting.

Experience/familiarity with data analysis software is a plus.

Qualified candidates should send their CV to sandryj@mail.montclair.edu

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Postdoc job in Bristol, UK: Integrating Learning, Optimisation and Reasoning for Trustworthy AI


Peter Flach <peter.flach@gmail.com>
9:28 PM (3 minutes ago)
to Machine Unsubscribe

An exciting opportunity has arisen to join the Intelligent Systems Laboratory in Bristol to further research on Trustworthy AI as part of the TAILOR network (https://tailor-network.eu/). TAILOR builds capacity and provides scientific foundations for Trustworthy AI in Europe by developing a network of research excellence centres leveraging and combining machine learning, computational optimisation and automated reasoning. The University of Bristol is one of the core partners in the network, coordinating a work package on Network Collaboration, and contributing fundamental research on Explainable AI, and Integrating AI Paradigms and Representations.

What will you be doing?

This position is of particular interest for people with postdoctoral experience who are looking to diversify their skill set in preparation for an academic position. Working closely with Prof Peter Flach, the successful candidate will have a unique opportunity to participate in cutting-edge AI research, collaborate with leading European AI labs, and help develop AI-powered collaboration tools and training platforms.

You should apply if:

You have a recent relevant PhD and research track record in machine learning, AI, or a related area; excellent and broad conceptual knowledge of the state of the art in ML/AI; excellent programming and software development skills; and experience with collaborative projects. Experience with trustworthy AI, knowledge-driven AI, and performance evaluation in AI would be a bonus.

Applications must include a cover letter describing how you match the person specification, and how the position fits in with your career ambitions. Also provide a link to your curated Google Scholar page and select one paper that you would like the appointment panel to read.

Additional information


Further information and a link to the online application system is available at https://www.bristol.ac.uk/jobs/find/details/?jobId=252374
For informal queries, please contact: Peter Flach (Peter.Flach@bristol.ac.uk).

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Postdoc Position at University of
Heidelberg

The ORB group at the University of Heidelberg is looking for a
postdoctoral researcher to join the HeiAGE project starting as soon as
possible.

Job Denoscription:
Thousands of older adults struggle to stand up from a seated position.
At Heidelberg University the research project ?HeiAGE?, a collaboration
between the departments of Computer Engineering, Psychology,
Gerontology, Medicine, and Law aims to develop smart assistive solutions
to to maintain and improve mobility in older persons. In the
Optimization, Robotics & Biomechanics (ORB) lab we are working to
develop a robotic rollator to help older adults to move around with a
focus on sit-to-stand and stand-to-sit transitions as well as everyday
walking. As part of this, we have constructed a unique laboratory-grade
assistive robot with 2 DOF robotic arms and force sensing handles that
we will use together with an instrumented chair to study how best to
control the assistive interaction while getting out of a chair.

You have the opportunity, as part of project HeiAGE, to:
Develop the control algorithms that will allow the robot to help someone
out of a chair in a way that is effective, easy-to-use, and safe.
Undertake biomechanics experiments with younger and older adults to
evaluate candidate control methods in a fully instrumented motion
capture lab;
Collaborate with a multidisciplinary consortium of engineers,
psychologists, gerontologists, health care researchers, and legal scholars:
The Medical Technology Research Group (https://urldefense.com/v3/__http://www.lorenzomasia.com/__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0Pi7aTvhn$ )
The Psychology institute of Heidelberg University
(https://urldefense.com/v3/__http://www.psychologie.uni-heidelberg.de/__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0PiACO5fy$ )
The Gerontology institute of Heidelberg University
(https://urldefense.com/v3/__http://www.gero.uni-heidelberg.de/__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0PgWdySQg$ )
Agapelsion Bethanien Hospital (https://urldefense.com/v3/__http://www.bethanien-heidelberg.de/start__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0PvZmuD28$ )
Law Faculty of Heidelberg University (https://urldefense.com/v3/__http://www.jura.uni-heidelberg.de/__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0Pne-E47e$ )


Desired Qualifications:
Mechatronics Engineer / Systems Design Engineer or equivalent
Mandatory prerequisites
A course in linear control systems
Programming experience in C/C++
Experience with multibody dynamics and/or advanced dynamics
In addition, please highlight if you have:
Experience with either Python/Matlab
Experience with a rigid body modelling package
Experience using with CANbus and/or CANopen communication protocol
Programmed a Siemens real-time controllers and/or a Festo gantry robot
Applied optimal control methods to mechanical systems
Worked with motion capture, EMG, force plates
Worked in a machine shop
Used a CAD package


Remuneration is based on TV-L. The position is initially limited to a
duration of one year with the possibility to extend this contract based
on negotiations with the funding agency. The work will take place at
Heidelberg University?s Neuenheimer Feld campus in Heidelberg, Germany.
For more information about the project please visit:
https://urldefense.com/v3/__https://orb.iwr.uni-heidelberg.de/heiage__;!!LIr3w8kk_Xxm!9ljGA5Omc9tQWXlKKyd7_mTn4DCfYct-j6sYc0FKxRj0cnOKrnrFiKJ8g1k_tbT0Pu25eBs_$


Please send your application with CV to orbsec@ziti.uni-heidelberg.de
with subject ?Postdoc Position heiAGE?.

--
-----------------------------------------------------------------
Dr. Alexander Schubert
Optimization, Robotics and Biomechanics
Institute of Computer Engineering
Interdisciplinary Center for Scientific Computing
University of Heidelberg
Berliner Stra?e 45, 69120 Heidelberg, Germany
-----------------------------------------------------------------
Phone: +49 (0)6221 54-14875
eMail: alexander.schubert@ziti.uni-heidelberg.de

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Open postdoc researcher position
at Dynamic Locomotion Group, Max Planck Institute for Intelligent
Systems, Stuttgart

We seek a postdoc researcher to join our "Bioinspired Legged Robot Locomotion? project. The project's focus is on applied robotics. We investigate the fundamentals of biomechanics and neurocontrol of legged locomotion using computer models, simulations, and legged robot hardware.

The Dynamic Locomotion Group is an independent and highly international Max Planck Research Group at the Institute for Intelligent Systems on the campus of Stuttgart in Germany.

We offer a 2-year fully funded researcher position.

Find the detailed advert at
https://urldefense.com/v3/__https://keeper.mpdl.mpg.de/f/44522388dcd24d4c83ac/__;!!LIr3w8kk_Xxm!6YCSNAu0oWRE8wdcer-o1k0tFStqgHcYL_SVyhKCkogImWPqKrvmxbuy7GsK44Xxt6o7Zk5D$

Please send your application documents as detailed in the advert to sprowitz@is.mpg.de . Applications received until September 10 will receive full consideration.

Contact:
Alexander Badri-Spr?witz, Dr. Sc.
sprowitz@is.mpg.de

--
Dynamic Locomotion Group?
Max Planck Institute for Intelligent Systems?
Heisenbergstr. 3?70569 Stuttgart, Germany?
Web: https://urldefense.com/v3/__http://www.is.mpg.de/dlg__;!!LIr3w8kk_Xxm!6YCSNAu0oWRE8wdcer-o1k0tFStqgHcYL_SVyhKCkogImWPqKrvmxbuy7GsK44Xxt83kWmC3$ ?
Email: sprowitz@is.mpg.de?
Phone: +49 711 689 3499

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2 PhD positions robot-assisted
surgery, KU Leuven, Belgium

Dear Colleagues,



Please find below more information on 2 fully-funded PhD positions at KU Leuven, Belgium in the Robot-Assisted Surgery research group



Position 1: Robotic-guided intra-cochlear diagnostics

https://urldefense.com/v3/__https://www.kuleuven.be/personeel/jobsite/jobs/60042602__;!!LIr3w8kk_Xxm!-Qa36vhqG270B27epETiv58U1YpQQhydnLDgnpZ4qwQa9UxBp4bdM--A-JoldYMeXyT1_6Vd$



Position 2: Robotic catheterization and endoscopes for cancer treatment

https://urldefense.com/v3/__https://www.kuleuven.be/personeel/jobsite/jobs/60047435__;!!LIr3w8kk_Xxm!-Qa36vhqG270B27epETiv58U1YpQQhydnLDgnpZ4qwQa9UxBp4bdM--A-JoldYMeX4X4ml08$



All info is available through the above links. PhD's typically are 4 year in Belgium. Call is open until excellent candidates have been recruited.



With the best regards,



E. Vander Poorten, G. Borghesan, K. Niu



Dr. E. Vander Poorten, Assoc. Prof.

Department of Mechanical Engineering,

Faculty of Engineering Science, Campus GroupT

Celestijnenlaan 300B, 3001 Heverlee

Belgium

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Postdoc Position in Robot Motion
Planning at University of Waterloo, Canada

The Autonomous Systems Lab at the University of Waterloo is hiring a postdoc in the areas of robot motion planning and perception in uncertain environments. Areas of interest include motion planning in dynamic environments and in the presence of occlusions; robot learning through user interaction; human-robot teaming; and informative planning for environmental monitoring. Positions will be for a 1-year initial term with renewal for a second year subject to funding availability and performance.

Applicants are required to have received a Ph.D. in Engineering, Computer Science, or a related field by the expected start date, and should have robotics experience directly related to the topics listed above.

To apply, please send an email to Prof. Stephen L. Smith at stephen.smith@uwaterloo.ca<mailto:stephen.smith@uwaterloo.ca> with the following materials:

1. A 1-2 page statement of interest.
2. An up-to-date CV.
3. Two representative publications.
4. A list of three references.

More information on the Lab is available here:

https://urldefense.com/v3/__https://uwaterloo.ca/autonomous-systems-lab/__;!!LIr3w8kk_Xxm!740oXoqjrcrojjLPnqQ1Y7Xze0gWy-QMQpe3K9oXwMdZSSfzLp0uFxkVB5ka1r2pO8DUP4Qb$

The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as Indigenous peoples (e.g., First Nations, M?tis, Inuit/Inuk), Black, racialized, people with disabilities, women and/or 2SLGBTQ+.

Best Regards,
Stephen

----
Stephen L. Smith
Associate Professor
Canada Research Chair in Autonomous Systems
Director, Autonomous Systems Laboratory
Dept. of Electrical and Computer Engineering
University of Waterloo

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Postdoc
https://www.linkedin.com/jobs/view/2693192956


@ApplyTime

https://inspirehep.net/jobs/1910392

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PhD position on foundations of artificial intelligence & machine learning

Hi all,

There is a PhD position at Chalmers on foundations of AL/ML focused on active learning.
The position is supported by WASP (Wallenberg AI, Autonomous Systems and Software Program), a major national initiative and the largest individual research program in Sweden.

Chalmers is a major university for research and education in Sweden and provides a dynamic and international working environment. The salary and the other conditions are very competitive. https://www.chalmers.se/en/news/Pages/Chalmers-maintains-highest-reputation-in-Sweden-%e2%80%93-again.aspx

Here is the link to the position:
http://www.chalmers.se/en/about-chalmers/vacancies/?rmpage=job&rmjob=9711

Best,
Morteza
--

Morteza Haghir Chehreghani

Associate Professor

Dept. of Computer Science and Engineering

Chalmers University of Technology

http://www.cse.chalmers.se/~haghir/

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PhD Position in DL/ML at UAE University

Job Denoscription: Applications are invited for the post of Research Assistant (PhD student) to join the research project noscriptd “Development of machine learning and deep learning algorithms for imbalanced and one-class classification problems” in collaboration with University of Toronto, Canada. The successful applicant will be a full-time PhD student enrolled in the University’s PhD program and will participate in teaching, research, and/or administrative activities. The position will start from Jan 2022. This successful applicant will develop novel machine algorithm and deep learning algorithms for imbalanced and one-class classification problems. These algorithms will be tested on datasets from various domains including health. This will provide the basis for a doctoral dissertation.

Minimum Qualification: Master’s degree (Computer Science/Computer Engineering/Information Technology or related area). Applicant should satisfy the PhD admission requirements, available at the UAE university website - https://www.uaeu.ac.ae/en/admission/gradudate_admissions.shtml

Expected Skills/Experience:
I. Demonstrated knowledge and expertise in machine learning and deep learning.
II. Good publication record in reputed international journals/conference.
III. Possess excellent communication skills.
IV. Expert in relevant programming languages, including python and other deep learning libraries, such as Pytorch/Tensorflow.

Reporting: Dr. Amir Ahmad (amirahmad@uaeu.ac.ae, primary supervisor), Dr. Shehroz Khan (shehroz.khan@utoronto.ca, co-supervisor)

Job start Date: Jan 2022
Tenure: Four year
Salary and benefits:
i. The value of fellowship will be AED 100,000 (~USD 27,224) per year including medical insurance.
ii. Full fee waiver
iii. A PhD student may work as a RA for other research projects for which he/she can get up to a maximum of AED 2000 (~USD 550) per month.

To apply: Contact Dr Amir Ahmad (amirahmad@uaeu.ac.ae), with subject line "PhD - UAE"

Regards
Dr. Shehroz Khan,
TRI, Canada.

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Open PhD position in Energy Efficient Machine Learning at the Neuromorphic AI Lab, University of Texas at San Antonio

Preferred Start Date: 1/2/2022 (Flexible)

Deadline for full consideration: 11/30/2021

We are seeking a Ph.D. student to join an exciting new research project on designing energy-efficient models in continual learning scenarios funded by agencies such as NSF, DARPA and AFRL. Specifically, the candidate is expected to study lightweight deep neural network models, using multi-level model compression and optimization techniques. More often than not, these techniques are neuro-inspired. A successful candidate will interface closely with the hardware team to ensure that the designs are ready to deploy on edge devices. The successful candidate will also be part of a rich and emerging AI community, with the newly established UTSA AI consortium (MATRIX) community. The consortium engages with the private sector, academia, the Greater San Antonio community and international partners to advance the state of the art in human-aware AI.

The candidate will be mentored by Dr. Dhireesha Kudithipudi and often in collaboration with leading scientists in the field. Relevant recent publications from the lab are in venues such as CVPR-W, ICML-W, IJCAI-W, DATE, IEEE Signal Processing, IEEE TC.

How to Apply: The position will remain open until filled. Applications can be submitted via email to Dr. Kudithipudi (dk@utsa.edu).

Applications should be submitted as a single PDF file:

1. Cover letter describing your motivation for applying to this position (1 paragraph)

2. CV and unofficial academic trannoscripts (with grades if applicable)


Qualifications and requirements:
1. Master's degree, or equivalent, in a discipline related to Electrical & Computer Engineering, computer science, computational neuroscience, physics, and related fields.
2. Background and/or strong interest in developing skills in artificial intelligence, computer architecture, machine learning, quantitative methods, and computer arithmetic.
3. Knowledge in programming, preferably in Python. Additional knowledge preferred in deep learning software (Tensorflow/TensorRT, Pytorch, Keras or similar).
4. The successful candidate will be expected to design and perform independent research and publish papers in refereed top conferences and journals, through interdisciplinary research collaborations.
5. Good written and verbal communication skills are essential.
6. A collaborative spirit and the ability to work as part of an interdisciplinary team are essential.

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Link

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Postdoctoral Fellowship is Available at Stanford Dept of Psychiatry and Behavioral Sciences

The CogT Lab at Stanford University is looking for a Postdoctoral Fellow to conduct an NIH funded project of research, aiming at developing an ECG-data driven “personalization engine” for a computerized cognitive training. The goal of the project is to identify neural mechanisms that can help promote healthy aging and delay functional decline in typical and pathological brain aging processes. The candidate will have the opportunity to collaborate with interdisciplinary groups at Stanford, including Stanford AI, medical imaging, and neuroscience institutes.



Required qualifications:



PhD from an accredited university in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields.
Proficiency in machine learning and time-series algorithms.
Proficiency in Python programing.
Strong communication skills.
Experience on imaging signal processing.
Experiences with Unity and C# programing is a plus.








Required application materials:



Letter of interest
CV
Names and contact details of three references




Contact: F. Vankee Lin, PhD (Vankee_lin@Stanford.edu)





Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.







Best



Vankee

_____________________________________________

F. Vankee Lin, PhD

Dept of Psychiatry and Behavioral Sciences, Stanford University

www.CogTLab.com

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Link

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PhD positions in human-guided robotic behavior learning

The Unmanned Systems Lab at University of Texas at San Antonio has 1-2 fully funded PhD openings in the area of human-guided robotic behavior learning. The main research goal is to develop new human-guided reinforcement learning algorithms to enable fast/efficient robotic behavior learning. These challenges include, but not are limited to, human behavior learning/modeling, reinforcement learning under limited human guidance, multi-agent reinforcement learning, human-robot interactive learning.

Position denoscription:
Required
- A Bachelor’s degree in electrical and computer engineering, computer science, mathematics, or a related field;
- Strong background in mathematics, statistics, and machine learning;
- Excellent writing and communication skills;
- Proficiency in C++ or Python.

Preferred
- Master’s degree
- Experience on Robot Operating System (ROS), reinforcement learning, and computer vision
- Experience on Tensorflow, Keras, or PyTorch.
- Demonstrated research experience (i.e., projects or publications)

How to apply:
Send the following documents in a single PDF file
- One-page cover letter describing your interest, goal, and how your background fits well;
- CV or resume
- Trannoscripts
to yongcan.cao@utsa.edu

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Ph.D. openings @ Center for Research in Computer Vision, University of Central Florida

Ph.D. openings are available in the Center for Research in Computer Vision (CRCV) at the University of Central Florida (UCF) under the supervision of Prof. Chen Chen, start 2022 Spring. Students will be graduated with a Ph.D. degree in Computer Science. CRCV is a world-leading research center for computer vision and machine learning. UCF is ranked 11th in Computer Vision according to csrankings.org.



Prof. Chen Chen’s main research interests include computer vision, image and video processing, and machine learning. He had published ~70 papers in top-tier venues, including CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, MICCAI, T-PAMI, T-IP, T-NNLS, and IJCV. He has more than 7600 citations with an h-index of 45 as of July 2021 according to his Google Scholar profile. He is ranked among the top 2% of scientists in the world by a recent Stanford University study. He is an Area Chair of CVPR 2022, ACM Multimedia 2019 – 2021, ICME 2021, and WACV 2019. More information on Prof. Chen Chen can be found at: https://www.crcv.ucf.edu/chenchen/



The students will work on the following Research Topics:

(1) Deep learning for computer vision (object detection/recognition, action detection/recognition, human pose estimation, and tracking, semantic segmentation, etc.)

(2) Vision for drones (vision-assisted navigation, control, planning, etc.)

(3) Multi-modality learning (vision, text, speech, etc.)

(4) AutoML (e.g., neural architecture search)

(5) Resource-efficient deep learning for edge computing (e.g., model compression/pruning, adaptive/dynamic neural networks, spiking neural networks, etc.)

(6) Label-efficient deep learning (e.g., self-supervised learning, semi-supervised learning, weakly-supervised learning)

(7) Federated learning and applications



Requirements:

(1) Undergraduate or MS students with degrees in Computer Science/Engineering, Electrical Engineering, Mathematics or related majors.

(2) Strong programming and/or mathematical skills. Proficient in deep learning frameworks, e.g., PyTorch

(3) Candidates with research experience in image processing, computer vision, and machine learning, are preferred.

(4) Proficiency in English reading and writing (through GRE, TOEFL/IELTS scores, and publications).

(5) Strong motivation and passion for conducting research and solving challenging problems.



Interested individuals are encouraged to contact Dr. Chen Chen (chen.chen@crcv.ucf.edu) with the following documentation:

(1) A short denoscription of your research interest and experience

(2) A current CV

(3) Trannoscripts if applicable

(4) Representative publications if applicable

Short-listed prospective students will be contacted for an interview.

If you love Disney, beautiful beaches, and sunshine, welcome to Orlando, welcome to UCF!

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