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We are seeking 2 outstanding postdocs
with experience / interest in topics such as
handwriting recognition (both isolated digits and connected handwriting),
recurrent neural networks (RNN),
statistical / Bayesian approaches, HMM,
support vector machines
(especially recurrent ones), etc.
Goal: to improve the state of the art in handwriting
recognition and to implement prototypes, in collaboration with
the Swiss company LIFEWARE.
Salary commensurate with
experience: ~ SFR 72,000 / year (~ US$ 70,000 / year as of 10 July 2008).
Low taxes.
Start: now or soon.
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Submit your CV and a list of 3 references and their
email addresses to
cinzia@idsia.ch and
juergen@idsia.ch.
Do NOT send large files; instead send URLs.
In the subject header,
mention your name and the keyword kti2008.
For example, if your name is Jo Mo, use
subject: Jo Mo kti2008
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Switzerland is a good place for scientists.
It is the origin of special relativity (1905)
and the
World Wide Web (1990),
is associated with 105 Nobel laureates, and
boasts far more Nobel prizes per capita than any other nation.
It also has the world's highest number of publications per capita,
the highest number of patents per capita,
the highest citation impact factor,
the
most cited single-author paper,
etc, etc.
Switzerland also got the
highest ranking in the
list of happiest countries.
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IDSIA
is small but visible, competitive, and influential.
For example, its
Ant Colony
Optimization Algorithms broke numerous benchmark records and
are now widely used in industry for routing, logistics etc. (today
entire conferences specialize on Artificial Ants).
IDSIA is also the origin of the first mathematical theory of optimal
Universal
Artificial Intelligence and self-referential
Universal Problem Solvers (previous work on general
AI was dominated by heuristics).
IDSIA's artificial
Recurrent Neural Networks
learn to solve numerous previous unlearnable sequence processing
tasks through gradient descent,
Artificial
Evolution and other methods.
Research topics also include
complexity and generalization issues,
unsupervised learning and information theory,
forecasting,
learning robots.
IDSIA's results were reviewed not only in
science journals such as Nature, Science, Scientific American,
but also in numerous popular press articles in
TIME magazine, the New York Times,
der SPIEGEL, and many others.
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