Phd/Postdoc position in machine learning & signal processing
The Robotics Group of the University of Bremen, Germany, is looking for a highly motivated researcher (PhD student or Postdoc) to work in a project dealing with the online evaluation of EEG data using machine-learning algorithms. Behavioral and fMRI data will also be analyzed during the project. Applicants without a PhD are expected to use their work in order to write a dissertation. The position is planned for 3 years.
The interdisciplinary project cooperates very closely with the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum für künstliche Intelligenz, DFKI). The successful applicant will work together with scientists from many different disciplines (e.g. engineers, computer scientists, physicists, biologists, mathematicians).
Requirements: Applicants must have a university degree (M.Sc. or equivalent) in computer science (or a related field covering the topic, e.g. computational neuroscience or physics) with a strong background in machine learning. Experience with Brain-Computer-Interfaces (BCIs), autonomous mobile robotic systems and/or acquisition of EEG, fMRI or behavioral data is advantageous. Furthermore, experience in programming with C/C++ and/or Python is a benefit.
While English is mandatory, knowledge of German is a plus.
Applications should be sent electronically to verena.tenzer(at)dfki.de using the key number A42/10.