Ciela Institute

Position ID:Ciela-POSTDOC [#24848]
Position Title: Postdoctoral position in machine learning, astrophysics, and cosmology
Position Type:Postdoctoral
Position Location:Montreal, Quebec H2V 0B3, Canada [map] sort by distance
Subject Areas: Astrophysics
Machine Learning
Appl Deadline:2023/06/15 11:59PMhelp popup finished (2023/05/15, finished 2023/10/18, listed until 2023/06/15)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

We are excited to announce multiple postdoctoral positions in topics related to astrophysics, cosmology, and machine learning in Ciela Institute (, affiliated with the University of Montreal and Mila. The institute is a cross-disciplinary collaboration between experts in machine learning and astrophysics with the goal of contributing to major breakthrough discoveries in astrophysics by developing novel data analysis methods with machine learning. The institute is also a major node of the Simons Collaboration on “Learning the Universe” and also of the FutureLens initiative, funded by the Simons and the Schmidt Futures foundations, respectively. The positions are for 3-year terms.

We are seeking candidates who will pursue research in one or more of the following themes:

1) Strong gravitational lensing: Experience in lensing data analysis and machine learning is highly valued. The main focus will be cosmology and dark matter science. The candidates will be encouraged to join the FuturesLens initiative and the LSST Dark Energy Science Collaboration (DESC).

2) Cosmology (data analysis and machine learning): Expertise in inference methods, LSS, cosmological simulations, and CMB are highly valued. The candidate will join the Simons Collaboration in Learning the Universe (

3) Machine learning: Representation learning, Bayesian inference, generative modeling, high-dimensional inference, computer vision, graphical models, reinforcement learning. All candidates are also strongly encouraged to pursue independent research in broader topics related to machine learning and astrophysical data analysis.

The successful candidates will have ample opportunities of exchange with researchers from our partner institutions (Columbia, Berkeley National Lab, Harvard, Flatiron Institute, Stockholm, IAP, Princeton, Carnegie Mellon, MPA Garching, CUNY, Stanford). The candidates will also work in close collaboration with local members, including Prof. Yashar Hezaveh, Prof. Laurence Perreault Levasseur, Prof. Yoshua Bengio, Prof. Siamak Ravanbakhsh, Prof. Pierre-Luc Bacon, Prof. Julie Hlavacek-Larrondo, and several postdoctoral fellows and graduate students in related research areas. The successful candidates will join Mila, the world’s largest academic research center in deep learning, which rallies 1000 researchers specializing in this field. We also have strong ties with the Center for Computational Astrophysics at the Flatiron Institute, allowing opportunities for close collaborations with members of this center. The successful candidates will be encouraged to form new collaborations with other members of the physics department including members of iREx, a leading exo-planet Institute.

To express interest, applicants should submit 1) a CV, 2) a detailed publication list and 3) a statement of research through AcademicJobsOnline before June 15, 2023. Applicants should also arrange for three letters of recommendation to be sent through AcademicJobsOnline. Late applications will be considered until the positions are filled.

University of Montreal is committed to diversity and equity within the community. We welcome applications from women, aboriginal persons, persons with disabilities, ethnic minorities, persons of all sexual orientation or gender identity, visible minorities, and others who may contribute to diversification.

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:
email address
1375 Avenue Thérèse-Lavoie-Roux,
Montréal, QC H2V 0B3