The
Robotics and Embodied AI Lab (REAL) at
Mila has an open postdoc position in robotics and machine learning. REAL is directed by
Canada CIFAR AI chair holders and professors
Liam Paull and
Glen Berseth, 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 seeking more postdocs to strengthen its team and contribute to large international projects. We invite all candidates with experience in 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 by Feb 6.