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
✔️ @ApplyTime
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
✔️ @ApplyTime
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/
✔️ @ApplyTime
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/
✔️ @ApplyTime
www.chalmers.se
Chalmers maintains highest reputation in Sweden – again
| Chalmers
| Chalmers
Chalmers has the most positive media image among Swedish universities, according to Kantar Sifo, and together with KTH, is the most well-known university in the country. This is an important reason as to why Chalmers sits at the top. However, essentially…
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.
✔️ @ApplyTime
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.
✔️ @ApplyTime
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.
✔️ @ApplyTime
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.
✔️ @ApplyTime
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
✔️ @ApplyTime
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
✔️ @ApplyTime
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
✔️ @ApplyTime
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
✔️ @ApplyTime
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!
✔️ @ApplyTime
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!
✔️ @ApplyTime
PhD position in medical imaging / University of Oulu
Hi,
I am looking for a new PhD student to join the Research Unit of Medical Imaging, Physics and Technology at the University of Oulu. The unit is interdisciplinary, and advances biomedical engineering across different fields. One of our latest focus priorities has been Machine Learning, and we continue expanding in this direction.
Our recent papers:
https://www.nature.com/articles/s41598-018-20132-7
https://ieeexplore.ieee.org/abstract/document/9169719
https://arxiv.org/abs/2104.03642
https://arxiv.org/abs/1908.04126
https://arxiv.org/abs/2105.14275
The focus on the advertised project is on automatic grading of Spine MRI. We provide access to the Northern Finland Birth Cohort, Twins UK, and UK Biobank data. The candidate will also have access to the Oulu University Hospital imaging archives.
We expect the candidate to have a mathematical background and excellent programming skills.
Do not hesitate to contact me via email: aleksei.tiulpin@oulu.fi
All the best,
- Aleksei.
----
Aleksei Tiulpin, PhD
Research Unit of Medical Imaging, Physics and Technology
Faculty of Medicine
University of Oulu
Finland
✔️ @ApplyTime
Hi,
I am looking for a new PhD student to join the Research Unit of Medical Imaging, Physics and Technology at the University of Oulu. The unit is interdisciplinary, and advances biomedical engineering across different fields. One of our latest focus priorities has been Machine Learning, and we continue expanding in this direction.
Our recent papers:
https://www.nature.com/articles/s41598-018-20132-7
https://ieeexplore.ieee.org/abstract/document/9169719
https://arxiv.org/abs/2104.03642
https://arxiv.org/abs/1908.04126
https://arxiv.org/abs/2105.14275
The focus on the advertised project is on automatic grading of Spine MRI. We provide access to the Northern Finland Birth Cohort, Twins UK, and UK Biobank data. The candidate will also have access to the Oulu University Hospital imaging archives.
We expect the candidate to have a mathematical background and excellent programming skills.
Do not hesitate to contact me via email: aleksei.tiulpin@oulu.fi
All the best,
- Aleksei.
----
Aleksei Tiulpin, PhD
Research Unit of Medical Imaging, Physics and Technology
Faculty of Medicine
University of Oulu
Finland
✔️ @ApplyTime
Nature
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Scientific Reports - Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Post-doctoral fellow | Deadline: 15 September
The post-doctoral fellow will take part in the ANR WORKLIFE research project which aims to study the impact of non-standard working hours on fertility, conjugality and gender inequalities. The post-doctoral fellow will be part of an interdisciplinary team of researchers in sociology, economics, demography and management science from several institutions. The team is supported by an international scientific committee (Oxford University, UQAM, University of Lausanne, University of Turin, EHESS) which meets during workshops.
The main task of the post-doctoral fellow will be to continue panel analyses on the relationship between non-standard working hours, family/work balance and fertility, including the 2019 wave of the Working Conditions survey https://dares.travail-emploi.gouv.fr/enquete/conditions-de-travail-edition-2019
Under the supervision of Anne Lambert, the project's scientific manager, the candidate will participate in the writing of scientific articles and the elaboration of research reports, as well as in the project meetings where he/she will present the intermediate results. He/she will present the results of the project at national and international conferences. The project offers the possibility of international travel for team meetings and scientific communications.
More information here.
✔️ @ApplyTime
The post-doctoral fellow will take part in the ANR WORKLIFE research project which aims to study the impact of non-standard working hours on fertility, conjugality and gender inequalities. The post-doctoral fellow will be part of an interdisciplinary team of researchers in sociology, economics, demography and management science from several institutions. The team is supported by an international scientific committee (Oxford University, UQAM, University of Lausanne, University of Turin, EHESS) which meets during workshops.
The main task of the post-doctoral fellow will be to continue panel analyses on the relationship between non-standard working hours, family/work balance and fertility, including the 2019 wave of the Working Conditions survey https://dares.travail-emploi.gouv.fr/enquete/conditions-de-travail-edition-2019
Under the supervision of Anne Lambert, the project's scientific manager, the candidate will participate in the writing of scientific articles and the elaboration of research reports, as well as in the project meetings where he/she will present the intermediate results. He/she will present the results of the project at national and international conferences. The project offers the possibility of international travel for team meetings and scientific communications.
More information here.
✔️ @ApplyTime
Dares
Conditions de travail (2019)
L’enquête visait à obtenir une denoscription concrète du travail, de son organisation et de ses conditions selon divers angles : horaires, rythmes de travail, efforts physiques ou risques encourus, pénibilité, organisation du travail, sécurité, coopération…
Post Doctoral Fellow - Max Nader Lab for Rehabilitation Technologies and Outcomes (Chicago, IL, USA)
he Post-Doctoral Fellow will work on a program focus on functional recovery and mobility after neurological injuries using neuromodulation approaches. Knowledge in neuroscience and motor control, and experience in clinical intervention, neurostimulation measures (e.g., Transcranial Magnetic Stimulation, H-reflex), EMG analysis, kinematic analysis (e.g., motion capture, wearable sensors), and gait analysis, are preferred. This is an exciting opportunity to join a laboratory where clinicians and scientists collaborate to study clinical interventions to promote functional recovery.
The Post-Doctoral Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Post-Doctoral Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.
Principal Responsibilities
Designs, executes, and interprets research pertaining to neurostimulation interventions, including data collection, processing, and interpretation.
Assists with development of collaborative projects within and outside the Shirley Ryan AbilityLab and test ideas for new projects development.
Applies for fellowships and grants for external lab funding and career development.
Develops, submits and publishes the results of research projects in high quality journals and present data to public conferences/seminars when needed.
Participates in weekly lab meetings, journal clubs, and seminars.
Builds and maintains a well-organized and accountable journal of own laboratory protocols, experiments, results and analyses.
Performs all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.
Reporting Relationships
Reports directly to the assigned Principal Investigator
Working Conditions
Normal office environment with little or no exposure to dust or extreme temperature
Knowledge, Skills & Abilities Required
Requires the academic knowledge associated with a doctorate degree in Neuroscience, Human Physiology, Neurorehabilitation Movement science, Biomechanics, Kinesiology or Biomedical engineering, or a related field.
Less than 4 years of postdoctoral training.
Prior research experience with human subjects using biomechanics, neurophysiological and/or neuroimaging methodologies and programming skills.
A moderate level of independence, including the ability to mentor undergraduate and graduate students.
Able to work closely with patients, clinicians, and professional organizations.
Excellent oral and written communication skills in English.
Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team.
Willingness to network within the organization and to independently strengthen/develop new external collaborations.
Able to timely plan and to coordinate project completions.
About Shirley Ryan AbilityLab
Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you will be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions. You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.
he Post-Doctoral Fellow will work on a program focus on functional recovery and mobility after neurological injuries using neuromodulation approaches. Knowledge in neuroscience and motor control, and experience in clinical intervention, neurostimulation measures (e.g., Transcranial Magnetic Stimulation, H-reflex), EMG analysis, kinematic analysis (e.g., motion capture, wearable sensors), and gait analysis, are preferred. This is an exciting opportunity to join a laboratory where clinicians and scientists collaborate to study clinical interventions to promote functional recovery.
The Post-Doctoral Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Post-Doctoral Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties.
Principal Responsibilities
Designs, executes, and interprets research pertaining to neurostimulation interventions, including data collection, processing, and interpretation.
Assists with development of collaborative projects within and outside the Shirley Ryan AbilityLab and test ideas for new projects development.
Applies for fellowships and grants for external lab funding and career development.
Develops, submits and publishes the results of research projects in high quality journals and present data to public conferences/seminars when needed.
Participates in weekly lab meetings, journal clubs, and seminars.
Builds and maintains a well-organized and accountable journal of own laboratory protocols, experiments, results and analyses.
Performs all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.
Reporting Relationships
Reports directly to the assigned Principal Investigator
Working Conditions
Normal office environment with little or no exposure to dust or extreme temperature
Knowledge, Skills & Abilities Required
Requires the academic knowledge associated with a doctorate degree in Neuroscience, Human Physiology, Neurorehabilitation Movement science, Biomechanics, Kinesiology or Biomedical engineering, or a related field.
Less than 4 years of postdoctoral training.
Prior research experience with human subjects using biomechanics, neurophysiological and/or neuroimaging methodologies and programming skills.
A moderate level of independence, including the ability to mentor undergraduate and graduate students.
Able to work closely with patients, clinicians, and professional organizations.
Excellent oral and written communication skills in English.
Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team.
Willingness to network within the organization and to independently strengthen/develop new external collaborations.
Able to timely plan and to coordinate project completions.
About Shirley Ryan AbilityLab
Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you will be part of our life-changing Mission and Vision. You’ll work in a truly inclusive environment where diversity and equity are championed through words and actions. You’ll contribute to an innovative culture that is second to none, one that embraces curiosity, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Shirley Ryan AbilityLab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
For additional information and to apply, please contact:
Rebecca Macaluso
Biomedical Engineer
Shirley Ryan AbilityLab
rmacaluso@sralab.org
✔️ @ApplyTime
Shirley Ryan AbilityLab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
For additional information and to apply, please contact:
Rebecca Macaluso
Biomedical Engineer
Shirley Ryan AbilityLab
rmacaluso@sralab.org
✔️ @ApplyTime
The Visual Computing Lab (VCL)@CERTH/ITI is hiring a Research Assistant-Apply until 15-09-2021
The Visual Computing Lab of the Information Technologies Institute, which is part of the Centre for Research and Technology Hellas has an open position for a Research associate who will join the team of the H2020 project “RESCUER - First responder - centered support toolkit for operating in adverse and infrastructure-less Environments”
https://www.certh.gr/3B5052C1.el.aspx
About us
The Visual Computing Lab (VCL) consists of four 4 full-time senior researchers and more than 70 Postdoctoral Researchers and Research Associates with the mission of achieving and spreading scientific and technological excellence in the field of multimedia and vision systems. VCL enjoys a distinguished reputation for innovation, receiving direct funding from private, national and international companies and the EU.VCL team has participated in more than 70 European and National research projects.
Website: https://vcl.iti.gr/
The Project
RESCUER aims to design and develop a First-Responder-centered technology toolkit that will empower the next-generation of First Responders (FR) by enhancing their operational capacity and safety, specifically in adverse conditions, both environmental and infrastructure-wise. Adopting the “HERO” (enHanced nEw eRa first respOnder) concept, RESCUER will deliver a toolkit offering (1) sense augmentation through enhanced sensorial input, (2) precise and infrastructure-less self positioning, (3) cognitive support and multi-sense AR interfaces, improving their focus and capability to utilise information and (4) robust ad-hoc intra-team communications for both verbal and data exchanges, all delivered over enhanced power and communication autonomy features.
Extending the above capabilities, through the concept of a building black box, RESCUER will also introduce the capability of extracting environment information “in situ and infrastructure-wise”, during a disaster. The project will achieve these goals using lightweight, non-obtrusive, and natural interaction with devices and sensors that offer additional information layers augmenting human sensing and operational capabilities, rendering FRs better aware of their surrounding conditions and able to make fast and efficient decisions to remain safe in the line of duty.
In this research context, we are looking for talented candidates to join our team as Research Associates.
Your tasks
Design and development of technologies to support First Responders during crises management
Support collection and analysis of user requirements and specification of system architecture.
Design,develop and train machine learning algorithms for video and image denoising in adverse conditions (deraining/defogging)
Design and develop data fusion for self and victim positioning and orientation during crises
Develop augmented reality applications to increase operational capacity of First Responders and provide them better environment awareness
Required skills
Bachelor’s degree in Computer Science or related technical field
Master’s degree in Computer Science or related technical field
Knowledge/Experience in developing machine learning / computer vision / graphics algorithms
Very good oral and written communication skills in English
Nice to have
PhD in Computer Science or related technical field
Experience working in European Research Projects
Accepted scientific publications in Computer Vision / Machine learning or related technical fields
What we offer
Competitive salary package
Exposure to cutting-edge technologies
Very friendly and professional working environment
Further career development opportunities
The position will be open until 15-09-2021 at 16:00
Application details:
https://www.certh.gr/3B5052C1.el.aspx
✔️ @ApplyTime
The Visual Computing Lab of the Information Technologies Institute, which is part of the Centre for Research and Technology Hellas has an open position for a Research associate who will join the team of the H2020 project “RESCUER - First responder - centered support toolkit for operating in adverse and infrastructure-less Environments”
https://www.certh.gr/3B5052C1.el.aspx
About us
The Visual Computing Lab (VCL) consists of four 4 full-time senior researchers and more than 70 Postdoctoral Researchers and Research Associates with the mission of achieving and spreading scientific and technological excellence in the field of multimedia and vision systems. VCL enjoys a distinguished reputation for innovation, receiving direct funding from private, national and international companies and the EU.VCL team has participated in more than 70 European and National research projects.
Website: https://vcl.iti.gr/
The Project
RESCUER aims to design and develop a First-Responder-centered technology toolkit that will empower the next-generation of First Responders (FR) by enhancing their operational capacity and safety, specifically in adverse conditions, both environmental and infrastructure-wise. Adopting the “HERO” (enHanced nEw eRa first respOnder) concept, RESCUER will deliver a toolkit offering (1) sense augmentation through enhanced sensorial input, (2) precise and infrastructure-less self positioning, (3) cognitive support and multi-sense AR interfaces, improving their focus and capability to utilise information and (4) robust ad-hoc intra-team communications for both verbal and data exchanges, all delivered over enhanced power and communication autonomy features.
Extending the above capabilities, through the concept of a building black box, RESCUER will also introduce the capability of extracting environment information “in situ and infrastructure-wise”, during a disaster. The project will achieve these goals using lightweight, non-obtrusive, and natural interaction with devices and sensors that offer additional information layers augmenting human sensing and operational capabilities, rendering FRs better aware of their surrounding conditions and able to make fast and efficient decisions to remain safe in the line of duty.
In this research context, we are looking for talented candidates to join our team as Research Associates.
Your tasks
Design and development of technologies to support First Responders during crises management
Support collection and analysis of user requirements and specification of system architecture.
Design,develop and train machine learning algorithms for video and image denoising in adverse conditions (deraining/defogging)
Design and develop data fusion for self and victim positioning and orientation during crises
Develop augmented reality applications to increase operational capacity of First Responders and provide them better environment awareness
Required skills
Bachelor’s degree in Computer Science or related technical field
Master’s degree in Computer Science or related technical field
Knowledge/Experience in developing machine learning / computer vision / graphics algorithms
Very good oral and written communication skills in English
Nice to have
PhD in Computer Science or related technical field
Experience working in European Research Projects
Accepted scientific publications in Computer Vision / Machine learning or related technical fields
What we offer
Competitive salary package
Exposure to cutting-edge technologies
Very friendly and professional working environment
Further career development opportunities
The position will be open until 15-09-2021 at 16:00
Application details:
https://www.certh.gr/3B5052C1.el.aspx
✔️ @ApplyTime
www.certh.gr
<strong>Πρόσκληση Εκδήλωσης Ενδιαφέροντος για υποβολή πρότασης προς σύναψη σύμβασης ανάθεσης έργου για μία (1) θέση έκτακτου προσωπικού…
Προθεσμία υποβολής :<strong>15-09-2021 και ώρα 16:00 </strong>
Postdoctoral position in computer vision and machine learning
We have an immediate postdoc opening at the Scientific Computing and Imaging Institute at the University of Utah to work on temporal 3D scene reconstruction from thermal imaging. We will investigate the use of machine learning, neural networks, intra- and inter-scene information as well as fusion with visible imagery. We are working jointly with a local company (https://www.elphel.com) that specializes in multi-sensor, multi-camera systems. This will initially be a 15 month position with the possibility of extension up to 3 years depending on availability of funding.
Required qualifications:
- PhD in Computer Science, Electrical Engineering or related field
- Solid background in computer vision and machine learning
- Experience with Python and either PyTorch or Tensorflow
- Good written and spoken communication skills
- Good publication record
Preferred qualifications:
- Experience with CUDA, Eclipse IDE and Java for collaboration with Elphel, Inc.
For more information about the position and to apply please email tolga@sci.utah.edu
✔️ @ApplyTime
We have an immediate postdoc opening at the Scientific Computing and Imaging Institute at the University of Utah to work on temporal 3D scene reconstruction from thermal imaging. We will investigate the use of machine learning, neural networks, intra- and inter-scene information as well as fusion with visible imagery. We are working jointly with a local company (https://www.elphel.com) that specializes in multi-sensor, multi-camera systems. This will initially be a 15 month position with the possibility of extension up to 3 years depending on availability of funding.
Required qualifications:
- PhD in Computer Science, Electrical Engineering or related field
- Solid background in computer vision and machine learning
- Experience with Python and either PyTorch or Tensorflow
- Good written and spoken communication skills
- Good publication record
Preferred qualifications:
- Experience with CUDA, Eclipse IDE and Java for collaboration with Elphel, Inc.
For more information about the position and to apply please email tolga@sci.utah.edu
✔️ @ApplyTime
Post-doc position at IRISA, Rennes, France on Multimodal detection of fake news.
Full denoscription is available at : http://www.irisa.fr/offres-emploi/2021-05/multimodal-detection-fake-news
Keywords: NLP, multimodal embedding, image/video processing, social networks
The position is to be filled as soon as possible and will end at most in Dec. 2023 (max duration 18 months).
Applications (see full denoscription for details) should be send to Vincent Claveau <vincent.claveau@irisa.fr>, and Ewa Kijak <Ewa.Kijak@irisa.fr>.
✔️ @ApplyTime
Full denoscription is available at : http://www.irisa.fr/offres-emploi/2021-05/multimodal-detection-fake-news
Keywords: NLP, multimodal embedding, image/video processing, social networks
The position is to be filled as soon as possible and will end at most in Dec. 2023 (max duration 18 months).
Applications (see full denoscription for details) should be send to Vincent Claveau <vincent.claveau@irisa.fr>, and Ewa Kijak <Ewa.Kijak@irisa.fr>.
✔️ @ApplyTime