Robot/Reinforcement/Imitation learning Researchers
Robot learning, Reinforcement learning and Imitation learning Researchers
London, Hybrid
Permanent, Full-time
£80,000 - £90,000
Sponsorship - Available
We are seeking exceptional candidates to pursue research in various aspects of reinforcement learning, robot learning, reinforcement learning, imitation learning and Bayesian optimisation.
You will be developing novel contributions allowing the robotics or optimisation fields to move forward in getting it a step closer towards real-world applications and real-world robots.
We are looking for Robotics and Optimisation experts to join us in this exceptional opportunity for research while collaborating with a diverse team with backgrounds ranging from mathematics and optimisation to probability and game theory to robotics and reinforcement learning.
Requirements
- To develop and have experience in high-impact research output in the field of reinforcement learning, Bayesian optimisation, game theory, multi-agent learning, probabilistic modelling, robot learning, imitation learning and/or risk-averse learning
- PhD in Computer Science or a related field
- Strong research background demonstrated through journal and conference submissions in any of the following: ICML, NeurIPS, AISTATS, AAAI, UAI, IJCAI, JMLR, Annals of Statistics, and Annals of Probability
- Knowledge of Python, specifically PyTorch or TensorFlow in addition to OpenAI Gym, GPFlow, Pyro, among others
If this is of interest, please get in touch and apply!
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
email - as they go live.
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