POSTDOC JOB OPENING (RECURRENT NEURAL NETWORKS)



Update on Dec 21, 1999: The position is filled. We hired Doug Eck.

IDSIA's search committee would like to thank the numerous applicants. To our great regret we had to reject some highly qualified individuals. What a pity that our budget is limited!

We do wish all the applicants the best for their future carreers.

We hope there will be additional job openings in the future. In case you are interested we will be happy to put you on a preliminary list of candidates. Here is the original announcement:



The Swiss machine learning research institute IDSIA offers a 1-year postdoc position with possibility of renewal for 2 additional years. It is the position currently held by Fred Cummins who recently accepted a professorship at the University of Ireland, Dublin.

The position is funded by an SNF research grant on recurrent neural networks. Ideal candidates have strong mathematical and programming skills, outstanding research potential, excellent ability to communicate research results, interest in recurrent network research, experience in one or more of the following fields: speech processing, neural nets, prediction (e.g., finance), control, music, program evolution.

ABOUT IDSIA. Our research focuses on artificial neural nets, reinforcement learning, complexity and generalization issues, unsupervised learning and information theory, forecasting, combinatorial optimization, evolutionary computation. IDSIA is small but visible, competitive, and influential. Algorithms developed by IDSIA researchers hold the world records for several important operations research problems. In the recent "X-Lab Survey" by Business Week magazine, IDSIA was ranked in fourth place in the category "COMPUTER SCIENCE - BIOLOGICALLY INSPIRED" - after the Santa Fe Institute, Stanford University, and EPFL (also in Switzerland). Its small size notwithstanding, IDSIA also ranked ninth worldwide in the broader category "ARTIFICIAL INTELLIGENCE".

LOCATION: the beautiful city of Lugano (in Ticino, the scenic southernmost province of Switzerland (pictures). Milano, Italy's center of fashion and finance, is 1 hour away, Venice 3 hours. CSCS, the Ticino supercomputing center, is nearby - we have a direct connection. The new University of Lugano is across the lawn. Switzerland boasts the highest supercomputing capacity pc (per capita), the most Nobel prizes pc (4-5 times the US value), the highest income pc, and perhaps the best chocolate.

SALARY: commensurate with experience but generally attractive. Low taxes. There is travel funding in case of papers accepted at important conferences.

BEGIN: 1999 or later.

INSTRUCTIONS: Applicants should have a look at the papers below and submit : (i) Detailed curriculum vitae, (ii) List of three references (and their email addresses), (ii) Transcripts of undergraduate and graduate (if applicable) studies and (iii) Concise statement of their research interests (two pages max). Candidates are also encouraged to submit their scores in the Graduate Record Examination (GRE) general test (if available). Please submit your application (with WWW pointers to studies or papers, if available) electronically (in plain ASCII or postscript format, but only small files please) to juergen@idsia.ch. Please connect your first and last name by a dot "." in the subject header, and add a meaningful extension. For instance, if your name is John Smith, then your messages could have headers such as:
subject: John.Smith.cv.ps,
subject: John.Smith.txt.
subject: John.Smith.ref.
This will facilitate appropriate filing of your stuff. Thanks a lot!
Alternatively please send a hardcopy application to J. Schmidhuber, IDSIA, Corso Elvezia 36, CH-6900 Lugano.



RELEVANT REFERENCES (more in http://www.idsia.ch/~juergen/onlinepub.html):
S. Hochreiter and J. Schmidhuber. Long Short-Term Memory. Neural Computation, 9(8):1735-1780, 1997.
F. Cummins, F. Gers, J . Schmidhuber. Language identification from prosody without explicit features. Proceedings of EUROSPEECH99, 1999, to appear.
F. A. Gers, J. Schmidhuber, and F. Cummins. Learning to forget: Continual prediction with LSTM. Technical Report IDSIA-01-99, IDSIA, February 1999. Accepted by Neural Computation.

Juergen Schmidhuber, co-director, IDSIA
juergen@idsia.ch
http://www.idsia.ch/~juergen
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