A Postdoctoral Fellow or Researcher is a regulated category. To determine whether or not you qualify for this type of position, please visit the McGill website at
Once you have established that you are eligible to be a Postdoctoral Fellow, you would have to approach an individual Professor within the Department. You will find a listing of the ECE Professors under their areas of research at http://www.mcgill.ca/ece/research
* Postdoctoral Researcher
A Postdoctoral Researcher is an employee category, represented by the AMURE Union (https://www.mcgill.ca/hr/files/hr/postdoctoral_fellows_-_arbitral_decision_-_collective_agreement.pdf);
* Postdoctoral Scholar
A Postdoctoral Scholar is a student category, completely funded by external sources.
- Post-doctoral Research Positions in Deep-Learning-Based Multi-Camera Tracking Systems (Prof. I. Psaromiligkos)
- Post-doctoral Research Positions (2) in Machine Learning for Medical Image Analysis (Prof. T. Arbel and Prof. D. Precup)
McGill University – Postdoctoral Position
*Postdoctoral Researcher (AMURE) / Postdoctoral Scholar
Electrical & Computer Engineering
Prof. I. Psaromiligkos
Hours/Week and Schedule:
Salary depends on experience and starts at $35,000 (plus benefits)
Initially for one year with the possibility of renewal
Date of Posting:
November 20, 2020
The position will remain open until filled
Job Summary / Description
The postdoctoral researcher / scholar will lead a 1-year project between the lab of Prof. Psaromiligkos and a Montreal-based startup aiming at the design and implementation of a deep-learning-based multi-camera tracking system of objects and persons in an indoor environment.
Education / Experience
The ideal candidate will have the following qualifications:
Ph.D. in Machine Learning, Artificial Intelligence, Image Processing or related field. Strong publication record in these areas. Excellent communications skills.
Please refer to McGill’s requirements on postdoctoral appointments, www.mcgill.ca/gps/postdocs, for conditions and additional information on the status of the position. (In Quebec, a Postdoctoral Fellow is a full-time student status and trainee category, and the Ministère de l'Education, Enseignement Supérieur et Recherche (MESRS) stipulates that all postdocs must be registered on a university student registration system.) Please note that non-Canadian postdoctoral fellows must have valid Citizenship or an Immigration Canada (CIC) work permit to legally work in Canada.
HOW TO APPLY
In addition to applying through Workday, interested applicants should submit CV, a letter of interest, a one-page summary of the most relevant publication, and contact information for three references to ioannis.psaromiligkos [at] mcgill.ca (subject: Postdoctoral%20Application) (Ioannis Psaromiligkos ()) with subject line “postdoctoral application”. The position remains open until filled. Update these files as one document on Workday
Current McGill employees can apply through their Workday portal
PLEASE NOTE THAT THE SALARY OF $35,000 AS PUBLISHED ON WORKDAY IS THE ANNUAL SALARY
*A Postdoctoral Researcher is an employee category, represented by the AMURE Union (https://www.mcgill.ca/hr/files/hr/postdoctoral_fellows_-_arbitral_decision_-_collective_agreement.pdf);
Probabilistic Vision Group and Medical Imaging Lab / Center for Intelligent Machines and Department of Electrical and Computer Engineering
Open Postdoctoral Fellow Positions: Machine Learning for Medical Image Analysis
Position and supervision
We are seeking applicants for two Postdoctoral Fellow positions in Machine Learning for Medical Image Analysis, under the joint supervision of Profs. Tal Arbel and Doina Precup. Prof. Arbel is the Director of the Medical Imaging Lab and Probabilistic Vision Group at the Centre for Intelligent Machines, a vibrant research team focusing on developing new probabilistic models and machine learning algorithms for computer vision and medical image analysis. She is a Canada CIFAR AI Chair at MILA and an associate member of the Goodman Cancer Research Center. Prof. Precup is the co-director of the Reasoning and Learning Lab, a group of 50+ researchers interested in machine learning and AI. She is a Canada CIFAR AI Chair at MILA and a Research Team Leader at DeepMind.
Research Project and Team
The postdoctoral fellow will focus on the development of new deep learning models for medical image analysis in the context of neurological diseases such as Multiple Sclerosis (MS) as well as cancers, assisting the team in attaining the long-term objective of new personalized treatments strategies based on medical images. This includes models to: (a) predict future new imaging activity (e.g. lesions) in MRI and disease progression (e.g. disability), (b) identify potential responders to treatments, and (c) identify disease sub- types. Meeting these objectives will require addressing open research problems, including (a) modelling the spatiotemporal evolution of disease through sequentially acquired medical images (with additional clinical information), (b) conveying uncertainties, and (c) addressing interpretability in deep learning models. To tackle these problems, the postdoctoral fellow will explore modern machine learning topics such as probabilistic knowledge distillation, self-supervised learning, temporal generative models, domain adaptation, multi-modal learning, and Bayesian deep learning.
Due to the interdisciplinary nature of the research, the postdoctoral fellow will benefit from ongoing collaborations with researchers and clinicians at the Montreal Neurological Institute and the Goodman Cancer Research Centre at McGill, computer vision and machine learning researchers at McGill, MILA, and Oxford (e.g. Yarin Gal), with ongoing collaborations with industrial partners (e.g. NeuroRx Research). Furthermore, the postdoctoral fellow will join a large collaborative team of researchers worldwide as part of a grant funded by the International Progressive MS Alliance (IPMSA), giving them unique access to the largest, proprietary dataset of MS patient images acquired worldwide (i.e. up to 40,000 scans) during multi-center clinical trials along with manual lesion labels, treatment codes and progression outcomes.
In addition to conducting independent research and collaborating with other research teams, the postdoctoral fellow will aid in the mentoring and supervision of graduate students.
Candidates must have a PhD in machine learning, with some experience in applications in computer vision or medical image analysis, and a good track record of publishing in top conferences and journals (e.g. ICML, NeurIPS, CVPR, MICCAI). Candidates must also have strong mathematical skills, good programming skills and knowledge, and experience in the domain of machine learning (e.g. Python, OpenCV, PyTorch).
How to Apply
Candidates should submit a CV, a summary of scientific research areas, 1-2 significant publications, and the names of 2 reference letter writers. Postdoctoral fellowships can commence right away, and the duration is two years with the possibility of an extension.
All interested candidates should contact Prof. Tal Arbel (arbel [at] cim.mcgill.ca) IN ADDITION to applying through one of these websites:
External Candidates: https://mcgill.wd3.myworkdayjobs.com/en-US/mcgill_careers/job/McConnell-Eng-Bldg/Postdoctoral-Researcher_JR0000003600
Internal Candidates: https://wd3.myworkday.com/mcgill/d/inst/15$158872/9925$2813.htmld
Commitment to Equity and Diversity
McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to engage productively with diverse communities.
At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.
McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.
McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, this email or phone at 514-398-2477.
All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.
Adhésion aux principes d’équité et de diversité
L’Université McGill s’engage fermement à respecter les principes d’équité et de diversité au sein de sa communauté, tout en valorisant la rigueur et l’excellence académiques. Elle accueille favorablement les demandes d’emploi des personnes racisées et des minorités visibles, des femmes, des personnes autochtones, des personnes en situation de handicap, des minorités ethniques, des personnes de toute orientation sexuelle et identité de genre, ainsi que toute personne possédant les aptitudes et les connaissances nécessaires pour interagir au sein de groupes diversifiés.
McGill valorise et encourage la recherche qui reflète des traditions intellectuelles, des méthodologies ainsi que des modes de dissémination et de traduction diversifiés. Les candidats sont invités à démontrer la portée de leur recherche, aussi bien au sein de leur champ universitaire que dans un contexte interdisciplinaire, notamment dans les secteurs gouvernemental, communautaire et industriel.
En outre, McGill reconnaît et prend équitablement en considération l’incidence des congés (p. ex., obligations familiales ou congés pour raisons de santé), qui peuvent entraîner des interruptions ou des ralentissements de carrière. Les candidats sont encouragés à signaler tout congé ayant eu une incidence sur leur rendement et pouvant avoir modifié leur parcours de carrière. Ces renseignements seront pris en compte aux fins d’évaluation équitable de leur dossier.
L’Université McGill dispose d’un programme d’équité en matière d’emploi et invite les membres des groupes visés à indiquer leur appartenance à ces derniers dans leur dossier de candidature. Elle tient également à s’assurer que les personnes en situation de handicap reçoivent un traitement équitable et puissent pleinement s’intégrer à la vie universitaire en ayant à cœur de mettre en œuvre les principes de conception universelle dans toutes les sphères d’activité de l’Université, conformément aux politiques et procédures relatives aux aménagements. Les personnes en situation de handicap qui pourraient avoir besoin de certains aménagements pour soumettre leur candidature sont invitées à communiquer en toute confidentialité par courriel ou par téléphone, au 514 398-2477.
On encourage tous les candidats qualifiés à postuler; veuillez noter que conformément aux exigences de l'immigration canadienne, la priorité sera toutefois accordée aux Canadiens ainsi qu'aux résidents permanents.