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.
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