PhD Position on Bayesian machine learning for signal processing applications

Job description

This research program is aimed at developing modern machine learning methods that lead to improved design of signal processing algorithms, e.g., for audio processing or quantified-self applications. Specifically, in our approach we study computational models of learning and adaptation in brains and apply these ideas to the design of artificial intelligent agents that learn to design (signal processing) algorithms from in-situ interactions with their environment. Key areas of interest include Bayesian machine learning, computational neurosciences and signal processing. Please browse our web page for more information on our research goals.

Job requirements

  • You should have a Master’s degree in electrical engineering, computer science or similar with excellent grades.

  • You will develop code for simulating machine learning experiments and we put a high value on candidates with a strong record in (scientific) programming.

  • It will be essential to have a good written and spoken command of English.

  • Finally, we appreciate a team player attitude, willingness to work hard and know how to have fun at it.

Conditions of employment

  • A challenging job for 4 years in a dynamic and ambitious university and a stimulating research environment; Support with your professional and personal development;

  • A gross salary per month of € 2222,- (first year) as a PhD up to € 2840,- (final year) in accordance with the Collective Labor Agreement of the Dutch Universities

  • 8% holiday allowance

  • 8.3% end of the year allowance.

  • An extensive package of fringe benefits (e.g. excellent technical infrastructure, on-campus child care, and excellent sports facilities.

About the position:

Please contact Bert de Vries, Dept. of Electrical Engineering, Eindhoven University of Technology (Netherlands), email

More information on employment conditions can be found here:

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