Hi Glen,
I don't know if you remember me from RLC, I'm a final year PhD student
with Amir-massoud Farahmand and Igor Gilitschenski. I am extremely
interested in a Canadian post-doc position, and am wondering how quickly
you are planning to make your decisions. The reason I am asking directly
and not just filling out the form is that I have a standing offer from
Columbia on which I need to decide in the next two weeks. However, this
offer does not have a robotics component and I am for perhaps obvious
reasons, a bit apprehensive about taking a US offer at the moment.
Therefore I am in the market for alternatives that are either more
robotics focused, or in Canada, or best case both :).
If you are interested in chatting, I am available at any time. I will
also be at ICLR next week. In addition, I am filling out the form to
give you the "official" infos.
Thanks a lot,
Claas Voelcker
On 2025-04-16 09:48, 'Glen Berseth' via Reinforcement Learning Mailing
List wrote:
> Hello,
>
> The *Robotics and Embodied AI Lab (REAL)
> <https://montrealrobotics.ca/>* at Mila <https://mila.quebec/en/> has
> an open postodc position in robotics and machine learning. REAL is
> directed by Canada CIFAR AI chair <https://cifar.ca/> holders and
> professors Liam Paull <https://liampaull.ca/> and Glen Berseth
> <http://www.fracturedplane.com/> and has four research assistants,
> over 30 members and is affiliated with four professors around
> Montreal. The main direction of the lab is to create generalist robot
> systems that can complete a diversity of tasks across robots in
> unstructured environments.
>
> The lab is looking for more postdocs to add to the lab's strength. We
> invite all candidates with experience *foundational models for
> planning and reinforcement learning* in the following areas.
>
> * *Sequential decision making and reinforcement learning*:
> multi-agent RL, generalization in RL, hierarchical RL, sample
> efficient RL, RL for discovery, language-based RL agents,
> goal-conditioned RL, offline RL, etc
> * *Robotics*: Foundational models for robotics,
> vision-language-action models, legged robotics, humanoid robotics,
> planning from vision, autonomous learning, control theory, Sim2Real.
>
> We generally expect successful post-doc applicants to have an
> established publication record in machine learning, robotics, or
> computer vision and have obtained or be in the process of obtaining a
> P.h.D. in computer science or engineering. A strong background in deep
> learning, reinforcement learning, or robot learning is strongly preferred.
>
> We are looking forward to hearing from you. Submit your applications
> here <https://forms.gle/F4RVJjZCAvrQf9cU6>.
>
> --
> Glen Berseth, Ph.D. (he/him/il)
> Assistant Professor at Université de Montréal in Reinforcement
> Learning and Robotics.
> Département d'informatique et de recherche opérationnelle
> <https://diro.umontreal.ca/accueil/>(Computer Science)
> Canada CIFAR AI Chair <https://cifar.ca/>, Core Academic Member of
> Quebec AI Institute (Mila <https://mila.quebec/en/>)
> Member of l'Institut Courtois <https://institut-courtois.umontreal.ca/en/>
> Personal website <http://www.fracturedplane.com> | Lab website
> <https://montrealrobotics.ca/> | @GlenBerseth
> <https://twitter.com/GlenBerseth> | @glenberseth.bsky.spp
> <https://bsky.app/profile/glenberseth.bsky.social>
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