PhD Position at the TUM Chair for Robotics and Embedded Systems, Germany


Disciplines:


Opportunity Cover Image - PhD Position at the TUM Chair for Robotics and Embedded Systems, Germany

Description

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 hiswork in the Department of Experimental Medical Science at Lund University.

Funding

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

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 

Contact

Florian Röhrbein - florian.roehrbein@in.tum.de
 
For more information click "Further official information" below.


Eligible Countries
Host Country
Study Levels
PhD
Opportunities
Publish Date
November 11, 2016




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