2 Phd Candidates, Reinforcement Learning for

3 maanden geleden

Leiden, Nederland Universiteit Leiden Voltijd

Vacancy number

15143

Job type

PhD positions

Hours (in fte)

1,0

External/ internal

External

Location

Leiden

Placed on

1 October 2024

Closing date

31 October 2024 30 more days to apply

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.

**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;
**Research at our faculty**

The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline.

**Terms and conditions**
We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 2.872, - to € 3.670, - gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities).

**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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