PhD Position at the TUM Chair for Robotics and Embedded Systems

  •  Phd
  •   Germany
  • $$  Fully Funded

We 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 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.

Interested applicants should provide florian.roehrbein@in.tum.de with a cover letter, a CV, and the contact information of reference letter writers. Please don’t hesitate to contact us in case of questions.

Technische Universität München Information

Technische Universität München Grants

PhD Position at the TUM Chair for Robotics and Embedded Systems Founded in 1868, Technische Universität München (Technical University of Munich) is a non-profit public higher education institution located in the urban setting of the large city of München (population range of 1,000,000-5,000,000 inhabitants), Bavaria. This institution has also branch campuses in the following location(s): Garching, Freising. Officially accredited and/or recognized by the Bayerisches Staatsministerium für Wissenschaft und Kunst (Bavarian State Ministry for Science and Art), Technische Universität München (TUM) is a large (uniRank enrollment range: 20,000-24,999 students) coeducational higher education institution. Technische Universität München (TUM) offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. International students are welcome to apply for enrollment.

Eligibility Criteria

Requirements:

  • 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

Offered Benefits

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

Apply Here
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