Open to: candidate with a Master’s degree in mathematics, computer science, physics, or similar
Scholarship: they are offering a competitive funding at 100% on the German employee scale
They are seeking an enthusiastic and talented PhD student to join the Robotics and Embedded Systems group in the Department of Informatics at the Technical University of Munich (TUM). The successful candidate is supposed to extract the adjacency matrix describing the functional connectivity of the spinal cord circuitry. While their general project is based on electrophysiological patch clamp measurements, the candidate will focus on graph theoretical analysis.
The student will work in an enriching, interdisciplinary, and international collaborative framework at the leading department of informatics in Germany. Partners of their 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.
- 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.
They are offering a competitive funding at 100% on the German employee scale TV-L 13.
How to Apply?
Interested applicants should provide firstname.lastname@example.org with a cover letter, a CV, and the contact information of reference letter writers.
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