Postdoctoral Researcher in Reinforcement Learning for Optimization

In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.

100%, Zurich, fixed-term

The Reliability and Risk Engineering Laboratory (RRE) within the Institute of Energy and Process Engineering at ETH Zurich is inviting applications for a post-doctoral researcher to work on the application of reinforcement learning in the domain of energy systems. This challenging project, requiring excellent machine learning and analytical skills, aims to explore the utilization reinforcement learning for complex optimization problems. The project is carried out at the RRE with potential for cooperation with other Labs within the ETH and partners from the Swiss industry. You will work in a highly stimulating environment with state-of-the-art computational infrastructure. This project will provide you with unique opportunities to develop a strong interdisciplinary portfolio in both machine learning and engineered systems and components.

Job description

Your main objectives will be to:

Calibrate highly complex physics-based models;

Solve scheduling optimization problems;

Identify optimum operation strategies for engineered systems.

The developed models will be validated against historical and experimental data. Moreover, the results of your work will be published into prominent scientific journals.

Your profile

We are looking for highly motivated candidates with excellent knowledge in machine learning and in particular reinforcement learning. The successful candidate has good programming skills, preferably Python and Matlab, and experience with tools like TensorFlow and Matlab’s Reinforcement Leaning Toolbox. Furthermore, the candidate has strong analytical skills, is proactive, self-driven with strong problem solving abilities and out-of-the-box thinking. Professional command of English (both written and spoken) is mandatory. You enjoy working in an interactive international environment with doctoral students and other post-docs.

To meet the requirements you should hold a PhD degree in a field related to computer/electrical engineering with excellent knowledge in machine/reinforcement learning or signal processing with experience in deep learning applications. Knowledge in optimization is beneficial.

You will receive an employment full-time contract and a competitive gross salary in accordance with ETH standards . Additionally, support for conference travel and research expenses will be available.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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