Université de Montréal, Département de mathématiques et de statistique

Position ID: UdeM-POSTDOC [#19627]
Position Title: Postdoc position in machine learning, AI, and nanophotonics
Position Type: Postdoctoral
Position Location: Montréal, Quebec H3C 3J7, Canada [map]
Subject Areas: Machine learning, AI, and nanophotonics
Application Deadline: (posted 2022/02/22, listed until 2022/08/18)
Position Description:    

*** the listing date or deadline for this position has passed and new applications are no longer accepted. ***

Postdoc position in machine learning, AI, and nanophotonics


The RAFALES research group of Professor Guy Wolf from the Dept of Math & Stat (DMS) at Université de Montréal (UdeM) and Mila - the Quebec AI institute, expects to have a postdoctoral fellow position in the intersection of AI and nanophotonic component design, available in the spring of 2022. Candidates are encouraged to apply via the instructions below.

The research conducted in the RAFALES group spans over a wide range of exploratory data analysis tasks, leveraging tools from manifold learning, graph signal processing, geometric deep learning, and harmonic analysis, to name a few, and is often motivated by real-world data intensive applications. The selected postdoc candidate will have the opportunity to work in collaboration with the CEDAR research group of Prof. Matt Hirn from Michigan State University, and with the researchers Dr. Yuri Grinberg and Dr. Dan-Xia Xu from the National Research Council of Canada. This collaboration is aimed to produce novel deep generative models for efficient optimization and design of nanophotonic components or devices, leveraging advanced neural network architectures together with domain specific understanding of underlying physics, while taking into account aspects of manufacturing feasibility, robustness, and miniaturization.

 Candidate qualifications: 

-        Necessary qualification: PhD in electrical engineering, applied math, physics, computer science, or related disciplines.

-        Necessary qualification: Interest in applying machine learning to problems in nanophotonics design.

-        Desired qualification: Experience in applying machine learning to open scientific problems (e.g., from physics, chemistry, or biology).

-        Desired qualification: Demonstrated ability to derive signal processing or machine learning methods from domain-specific considerations. 

Terms and conditions: 

Selected candidates will be primarily affiliated with the DMS at UdeM, and will be considered core postdocs at Mila. The position is intended for a total duration of two years, in the form of a limited-term contract for one year, renewable to a second year subject to performance and continuity of available funding. Postdoctoral fellows at the Université de Montréal are protected by their collective bargaining agreement. Specifically, postdoctoral fellows are entitled to accumulate vacation at a rate of 2 days per month, up to a maximum of 23 working days, and are eligible for health coverage from the Régie de l’assurance maladie de Québec. International postdoctoral fellows are exempt from provincial taxes. 

Application instructions: 

Applications are reviewed weekly until the position is filled. 

To apply, please submit the following materials.

-        Cover letter

-        Résumé/CV and list of publications

-        Research statement

-        Two or three letters of recommendation, including one from the PhD advisor.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
Département de mathématiques et de statistique
Faculté des arts et des sciences
C.P. 6128, Succursale Centre-Ville
Montréal, QC
H3C 3J7