Senior researcher position (tenure track) available at SNN, University of Nijmegen, the Netherlands. Extended deadline. Background: The group consists of 10 researchers and PhD students and conducts theoretical and applied research on neural networks and Bayesian methods. The group is part of the Laboratory of Biophysics which is involved in experimental brain science. Recent research of the group has focused on theoretical description of learning processes using the theory of stochastic processes and the design of efficient learning rules for Boltzmann machines and other graphical models using techniques from statistical mechanics; the extraction of rules from data and the integration of knowledge and data for modeling; the design of robust methods for confidence estimation with neural networks. Applied research is conducted on computer assisted medical diagnosis, music modeling, genetics and time-series prediction tasks. Since 1997, SNN Nijmegen has founded a company which sells commercial services and products in the field of neural networks, AI and statistics. For more information see http://www.smart-research.nl and http://www.mbfys.kun.nl/SNN Job specification: SENIOR RESEARCHER (TENURE TRACK) The tasks of the senior researcher will be to conduct independent research in one of the above areas. In addition, it is expected that the he/she will initiate novel research and will assist in the supervision of PhD students. The senior researcher should have a PhD in physics, mathematics or computer science and a strong theoretical background in neural networks. The salary will be between Dfl. 5589 and Dfl. 7694 per month, depending on experience. The position is available for 2 years with possible extension to 4 years. After 4 years, a permanent position is anticipated. Applications: Interested candidates should send a letter with a CV and list of publications before november 1 2000 to dr. H.J. Kappen, Stichting Neurale Netwerken, University of Nijmegen, Geert Grooteplein 21, 6525 EZ Nijmegen. For information contact dr. H.J. Kappen, +31 24 3614241.
