[Comp-neuro] PhD Student Position in Cognitive Robotics and BCI
a.maye at uke.de
Wed Oct 8 13:45:32 CEST 2008
PhD STUDENT POSITION IN COGNITIVE ROBOTICS AND BCI RESEARCH
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):
Körperschaft des öffentlichen Rechts
Prof. Dr. Jörg F. Debatin (Vorsitzender)
Dr. Alexander Kirstein
Prof. Dr. Dr. Uwe Koch-Gromus
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