2 Phd Candidates, Reinforcement Learning for
2 weken geleden
Vacaturenr.
14820
Functie-categorie
Omvang (fte)
1,0
Extern/intern
Extern
Locatie
Leiden
Geplaatst op
30 april 2024
Sluitingsdatum
31 mei 2024
**The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for**:
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.
There are two open positions: one with a more applied touch, where you will focus on real-world data and sustainability challenges, and one more theoretical/algorithmic position, where the focus will lie on novel reinforcement learning methodology.
**Key responsibilities**
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.
**Selection Criteria**
- 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;
- Assist in relevant teaching activities;
**Research at our faculty**
**Terms and conditions**
**D&I statement**
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.
**Information**
**Applications**
- Resume;
- Application letter, including your applicability to aforementioned selection criteria and your preference for the topic;
- BSc and MSc degree (or expected graduation date);
- Full grade list (for both bachelor's degree and master's degree);
- Examples of your scientific writing (e.g., master’s thesis, scientific publication, course report);
- Examples of your coding skills (preferably associated with the above examples of scientific writing);
- Reference of university supervisors or other scientific collaborators that can be contacted by us for further information;
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