[Comp-neuro] PhD Student Position in Cognitive Robotics and BCI Research

Alexander Maye a.maye at uke.de
Wed Oct 8 13:45:32 CEST 2008


A joint doctoral position for research in brain-computer interfaces (BCI) is 
available at the Dept. of Computer Science of the Technical University of 
Munich (TUM), and at the Dept. of Neurophysiology and Pathophysiology of the 
University Medical Center Hamburg-Eppendorf (UKE). 

TUM is one of the largest and, in terms of third-party funding, most 
successful universities in Germany. Cognitive robotics is the central 
research field of the working group “Robotics and Embedded Systems” in the 
Computer Science Department (www6.in.tum.de). It is directed by Professor A. 
Knoll and dedicated to research and education in sensor-based robotics, 
computer vision, sensor data fusion, and high-level cognition.

The UKE is the largest hospital in Hamburg, comprising 14 centers with 80 
clinical and research departments. The Dept. of Neurophysiology and 
Pathophysiology (www.uke.de/neurophysiologie) is headed by Prof. Dr. Andreas 
K. Engel. The research of Prof. Engel’s group focusses on cognitive and 
sensorimotor functions, which are studied in humans and animal models using 
neurophysiological and neuroimaging techniques.

The successful applicant will work on a project that implements biologically 
inspired models of mammalian visual systems on a robot for applications in 
natural environments. The main goal is to augment this robot control by 
information from a BCI system. This system will integrate signals that are 
conventionally used in BCI systems with muscle and other signals not 
originating from the brain, currently mostly considered as artifacts. The 
exploitation of these signals is geared towards the development of a 
multi-modal, robust, and high-performance BCI system for everyday, public 
usage. The dissertation will be co-supervised by Prof. Knoll and Prof. Engel.

Applicants should have a master in computer science, physics or engineering, 
and excellent programming skills, as well as expertise in methods in signal 
processing, pattern recognition and classification. Experience in human 
electrophysiology would be an asset, but is not strictly required. 
The position will be funded for up to three years. 

Informal inquiries can be directed to Dr. Alexander Maye (a.maye at uke.de). 
Applicants should send their curriculum vitae, a statement of research 
interests, as well as names of two referees to Prof. Dr. Alois Knoll, 
Technische Universität München, Fakultät für Informatik, Boltzmannstrasse 3, 
85748 Garching bei München, Germany, or to Prof. Dr. Andreas K. Engel, 
Institut für Neurophysiologie und Pathophysiologie, Universitätsklinikum 
Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.

Pflichtangaben gemäß Gesetz über elektronische Handelsregister und Genossenschaftsregister sowie das Unternehmensregister (EHUG):

Universitätsklinikum Hamburg-Eppendorf
Körperschaft des öffentlichen Rechts
Gerichtsstand: Hamburg

Prof. Dr. Jörg F. Debatin (Vorsitzender)
Dr. Alexander Kirstein
Ricarda Klein
Prof. Dr. Dr. Uwe Koch-Gromus

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