Term: 9/2018-10/2019, with possible extension to 2 years.
Qualifications: Ph.D. in a field related to autonomy, planning, and
control, and a strong background in large-scale sequential decision-making,
Bayesian nonparametric learning, and/or Deep Reinforcement Learning.
Experience in the areas of robotics, UAVs, and multi-agent planning &
learning are of particular interest.
Particular research topics of interest include:
- Distributed/decentralized planning and learning
- POMDPs, Dec-POMDPs, multi-agent reinforcement learning
- Processing perception data for self-driving cars
Please send a PDF of your CV, any relevant paper links, and the names of
3 references to [hidden email]