Fully-Funded PhD Position in Graph Theory at TU Munich, Germany

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The Technical University of Munich is seeking an enthusiastic and talented PhD student to join the Robotics and Embedded Systems group in the Department of Informatics. The successful candidate is supposed to extract the adjacency matrix describing the functional connectivity of the spinal cord circuitry. While our general project is based on electrophysiological patch clamp measurements, the candidate will focus on graph theoretical analysis. The results are expected to be integrated into the Human Brain Project, a €1bn flagship project of the European Commission, as an interface that connects brain simulations with robotic platforms.

The student will work in an enriching, interdisciplinary, and international collaborative framework at the leading department of informatics in Germany (cf. the Shanghai and the QS ranking). Partners of our project include the chair of Sensor Based Robotic Systems and Intelligent Assistance Systems at TUM, members of The Human Brain Project, and the Institute of Robotics and Mechatronics at the German Aerospace Center (DLR). The student is furthermore expected to complete some of his work in the Department of Experimental Medical Science at Lund University.

Course Level: Position is available for pursuing PhD programme.

Study Subject: Position is awarded to join the Robotics and Embedded Systems group in the Department of Informatics at the Technical University of Munich (TUM).

Scholarship Award: We offer a competitive funding at 100% on the German employee scale TV-L 13.

Scholarship can be taken in Germany

– master’s degree in mathematics, computer science, physics, or similar
– knowledge in graph theory and its application to measured data
– very good programming skills
– fluent in written and spoken English
– ability to work independently as well as in international teams
– knowledge in (computational) neuroscience and neural networks is helpful
– Matlab and Python skills are helpful

How to Apply: Interested applicants should provide [email protected] with a cover letter, a CV, and the contact information of reference letter writers.

Application Deadline: Contact Employer

Scholarship Link

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