POSITIONS AVAILABLE IN NEURAL NETWORKS
Benny Lautrup
LAUTRUP at nbivax.nbi.dk
Wed Mar 27 07:47:00 EST 1991
POSITIONS AVAILABLE IN NEURAL NETWORKS
Recently, the Danish Research Councils funded the setting up of a
Computational Neural Network Centre (CONNECT). There will be some
positions as graduate students, postdocs, and more senior visiting
scientists available in connection with the centre. Four of the junior
(i.e. student and postdoc) positions will be funded directly from the
centre grant and have been allotted to the main activity areas as
described below. We are required to fill these very quickly to get the
centre up and running according to the plans of the program under which
it was funded, so the deadline for applying for them is very soon,
APRIL 25. If there happen to be exceptionally qualified people in the
relevant areas available right now, they should inform us immediately.
We are also sending this letter because there may be other positions
available in the future. These will generally be externally funded.
Normally the procedure would be for us first to identify the good
candidate and then to apply to research councils, foundations and/or
international programs (e.g. NATO, EC, Nordic Council) for support.
This requires some time, so if an applicant is interested in coming
here from the fall of 1992, the procedure should be underway in the
fall of 1991.
The four areas for the present positions are:
Biological sequence analysis
Development of new theoretical tools and computational methods for
analyzing the macromolecular structure and function of biological
sequences. The focus will be on applying these tools and methods to
specific problems in biology, including pre-mRNA splicing and
similarity measures for DNA sequences to be used in constructing
phylogenetic trees. The applicant is expected to have a thorough
knowledge of experimental molecular biology, coupled with experience in
mathematical methods for describing complex biological phenomena. This
position will be at the Department of Structural Properties of
Materials and the Institute for Physical Chemistry at the Technical
University of Denmark.
Analog VLSI for neural networks
Development of VLSI circuits in analog CMOS for the implementation of
neural networks and their learning algorithms. The focus will be on the
interaction between network topology and the constraints imposed by
VLSI technology. The applicant is expected to have a thorough knowledge
of CMOS technology and analog electronics. Experience with the
construction of large systems in VLSI, particularly combined
analog-digital systems, is especially desirable. This position will be
in the Electronics Institute at the Technical University of Denmark.
Neural signal processing
Theoretical analysis and implementation of new methods for optimizing
architectures for neural networks, with applications in adaptive signal
processing, as well as ``early vision''. The applicant is expected to
have experience in mathematical modelling of complex systems using
statistical or statistical mechanical methods. This position will be
jointly in the Electronics Institute at the Technical University of
Denmark and the Department of Optics and Fluid Dynamics, Risoe National
Laboratory.
Optical neural networks
Theoretical and experimental investigation of optical neural networks.
The applicant is expected to have a good knowledge of applied
mathematics, statistics, and modern optics, particularly Fourier
optics. This position will be in the Department of Optics and Fluid
Dynamics, Risoe National Laboratory.
In all cases, the applicant is expected to have some background in
neural networks and experience in programming in high-level languages.
An applicant should send his or her curriculum vitae and publication
list to
Benny Lautrup
Niels Bohr Institute
Blegdamsvej 17
DK-2100 Copenhagen
Denmark
Telephone: (45)3142-1616
Telefax: (45)3142-1016
E-mail: lautrup at nbivax.nbi.dk
before April 25.
He/she should also have two letters of reference sent separately by
people familiar with his/her work by the same date.
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