Recently three of J. Schmidhuber's
postdocs at IDSIA got professorships abroad: J. Unkelbach at Harvard, J. Togelius at IT Univ. Copenhagen,
J. Conradt at TU Munich.
Now JS is looking for THREE FRESH POSTDOCS to replace them.
JS also encourages applications for IDSIA PhD fellowships
(there are additional PhD jobs financed by USI which also may indirectly
lead to supervision by JS).
We are seeking
researchers with experience / interest in topics such as
recurrent networks (RNN), pattern recognition,
reinforcement learning (RL), evolution,
unsupervised learning & deep networks,
Universal AI and RL,
Universal Problem Solvers,
in particular, self-modeling robots,
& creativity / theory of novelty & surprise.
Goal: to improve the state of the art in machine learning & robotics.
Salary: Postdoc ~ SFR 72,000 / year (~ US$ 74,700 / year as of 5 Jan 2011);
PhD student ~ SFR 38,000 / year (~ US$ 39,400). Low taxes. PhD students should have a master
degree, preferably in computer science or related fields including math and physics.
Start: 2011 (flexible).
Submit your CV, a list of 3 references and their
email addresses, and a statement of relevant research interests, to
In the subject header,
mention name and job type and keyword sn2010.
For example, if your name is Jo Mo and you want a postdoc job, use
subject: Jo Mo postdoc sn2010
We have filled most of the positions in 2010,
but there will be new projects starting in 2011, and
we are continually
evaluating old and new applicants, always open for outstanding talents, hoping
to find just a few more additional postdocs and PhD students who have
exactly the profile necessary to complement the already
Interviews. Most interviews
take place at IDSIA, but sometimes we also arrange Skype video interviews.
(We also conducted
at the Singularity Summit in NYC,
the EUCogII meeting, CogSys 2010, EUCogII 2010,
AGI 2010, and GP Theory & Practice 2010 in Ann Arbor).
Other recent jobs (filled) in the lab of JS at IDSIA:
5 postdoc and 5 PhD positions in various related projects;
1 Postdoc in biologically plausible reinforcement learning.
is small but visible, competitive, and influential.
For example, its
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
Artificial Intelligence and self-referential
Universal Problem Solvers (previous work on general
AI was dominated by heuristics).
Recurrent Neural Networks
learn to solve numerous previous unlearnable sequence processing
tasks through gradient descent,
Evolution, Reinforcement Learning, and other methods.
Research topics also include
complexity and generalization issues,
unsupervised learning and information theory,
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.
Numerous TV shows on Tech & Science helped to popularize IDSIA's achievements.
Switzerland is a good place for scientists.
It is the origin of special relativity (1905)
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,
most cited single-author paper,
the biggest and most expensive machine ever,
As of 2010/2011, Switzerland is again the most
competitive country, according to the World Economic Forum. It
also got the
highest ranking in the
list of happiest countries (1990s average), according to the Happiness Foundation.
More in Schmidhuber's page on
Switzerland - best country in the world?