职位信息
2 PhD Candidates, Reinforcement Learning for Sustainable Energy
10月31日截止
These positions are embedded in the Reinforcement Learning Lab for Sustainable Energy, a cooperation between Leiden University and an industrial partner. The global energy transition is one of the key challenges that our world faces.
At the same time, reinforcement learning is a key technology in artificial intelligence and machine learning that set various state-of-the-art results.
In the Reinforcement Learning Lab for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges.
A master’s degree in computer science, Artificial Intelligence, or a related field;
Affinity with Reinforcement Learning and Deep Learning. Preferably you have a track record in these fields during your studies, for example in the form of a research course report or master’s thesis;
Good programming skills. Preferably you have provable experience with deep learning software (e.g., Pytorch, Jax, Tensorflow) and large-scale experimentation, for example displayed through a Github repository associated with a course report/thesis;
Affinity with the sustainable energy transition;
Good research skills;
Good writing and presentation skills;
Good teamwork skills;
The lab is part of LIACS, the Leiden Institute of Advanced Computer Science, in close collaboration with an industrial partner.
You will work with top AI researchers in reinforcement learning and machine learning and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research.
In both positions you will work with real world data and models, aimed at developing fundamental methods with real world impact.The lab is affiliated with the LIACS Reinforcement Learning Group, supervised by Aske Plaat and Thomas Moerland.
https://www.universiteitleiden.nl/en/vacancies/2024/q4/24-521151432-phd-candidates-reinforcement-learning-for-sustainable-energy
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