Researcher in Control Theory

Vor 6 Tagen


Zürich, Zürich, Schweiz NZZone Vollzeit

The Automatic Control Laboratory (IfA) at ETH Zurich is a community of researchers working on developing methods and computational tools for automation. We are looking for two doctoral students to join our international team and contribute to research efforts in control and automation, exploring their connections to learning methods.

We are seeking highly motivated and dedicated individuals with a Master's degree in a field addressing control theory, including electrical or mechanical engineering, or applied mathematics. Strong programming, modelling, and data analysis skills in python and machine learning/optimization libraries/toolboxes are essential. Your spoken and written English skills will help you navigate our international environment.

Project Background

Control theory is the technological foundation of the drive towards automation. As systems become larger and more complex, control methods dealing with uncertainty and partial information have become increasingly important. This has led to a rapprochement between control theory and machine learning. The two doctoral student positions aim to explore the interplay between these areas.

Job Description

We are looking for two motivated doctoral students to contribute to this effort. The envisioned research will address:

  1. Distributionally robust Markov Decision Processes (MDP). Distributional robustness has been studied for finite state and action MDP, where uncertainty can be encoded by constraints on the stochastic transition matrix.
  2. Policy gradient for control parametrisations: Policy gradient methods are often associated with deep reinforcement learning and policies parametrised by neural networks.

In addition to methodology development, we envision testing the methods on benchmark problems, robotic testbeds available at the Automatic Control Laboratory, and real-world applications.

About Us

ETH Zurich is one of the world's leading universities specialising in science and technology. We promote 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 global challenges.



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