IDSIA postdoc position
Juergen Schmidhuber
juergen at idsia.ch
Wed Mar 20 12:36:13 EST 1996
IDSIA POSTDOC POSITION
IDSIA, the Swiss machine learning research institute,
offers a 2-year postdoc position with possibility for
renewal. Goal of the corresponding research project is to
analyze, compare, extend, and apply `neural' algorithms for
unsupervised learning and redundancy reduction. A main focus
will be on `predictability minimization' (see refs below).
Application areas include adaptive image pre-processing,
classification, data compression. Applicants should be
willing to build on our previous work. The ideal candidate
combines strong mathematical skills and strong programming
skills.
Switzerland tends to be nice to scientists. It boasts the
highest supercomputing capacity per capita, the most Nobel
prizes per capita (with Sweden), the highest gross national
product per capita (with Luxembourg), and the best chocolate.
IDSIA is located in beautiful Lugano, capital of scenic Ticino
(the southern part of Switzerland). Pictures in my home page.
Milano, Italy's center of fashion and finance, is one hour
away. CSCS, the Ticino supercomputing center, is nearby.
Salary is competitive. To obtain an overview of IDSIA's
activities, see our home page.
If interested, please send CV, list of publications, and
cover letter with brief statement of research interests plus
email addresses of three references to
juergen at idsia.ch
Send them as separate, uncompressed ASCII or postscript files.
ASCII greatly preferred. Please call subject headers of ASCII
files: name.cv, name.pub, name.cover, respectively, where `name'
stands for your name. Please call subject headers of postscript
files: name.cv.ps, name.pub.ps, name.cover.ps, respectively.
Please also send HARDCOPIES of 3 representative papers by
PHYSICAL mail (no problem if they arrive after the deadline).
DEADLINE: APRIL 10, 1996. Earlier applications preferred.
Juergen Schmidhuber research director
IDSIA, Corso Elvezia 36, 6900-Lugano, Switzerland
juergen at idsia.ch http://www.idsia.ch/~juergen
--------- Refs on predictability minimization --------
- J.Schmidhuber, M.Eldracher, and B.Foltin. Semilinear
predictability minimization produces well-known feature
detectors. Neural Computation, in press, 1996.
- J.Schmidhuber and D.Prelinger. Discovering predictable
classifications. Neural Computation, 5(4):625-635, 1993.
- J.Schmidhuber. Learning factorial codes by predictability
minimization. Neural Computation, 4(6):863-879, 1992.
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