Machine Learning PostDoc Positions in Europe

I got this from my collaborator Erik Eurell. I love the Nordic countries

this could be a great experience for anyone who wants to relocate for a year or two:

Call for Applications: Several Postdoc / Research Associate positions in
the Finnish Center of Excellence in Computational Inference COIN

Call deadline 1 November 2012, 3:00 pm EET

Keywords: Machine learning, computational statistics, Bayesian statistics,
information-theoretic learning, satisfiability checking, proactive
interfaces, computational biology

The Finnish Center of Excellence in Computational Inference Research
(COIN, Aalto University, University of Helsinki, Helsinki Institute for
Information Technology HIIT) announces several postdoc or research
associate positions in Computational Inference. The objective of COIN,
started on 1 January 2012, is to push the boundaries of inference in the
data-rich world of today and tomorrow. The COIN consortium includes the
creators of world standards and software such as Independent Component
Analysis.

Six postdocs / research associates were hired at the start of COIN, and we
now seek several additional new recruitments to complete our team.
Successful candidates will work on fundamental questions of inference and
in applications in Intelligent Information Access, Computational Molecular
Biology and Medicine, Computational History, Computational Climate,
Computational Neuroscience and other directions yet to be determined.
Applicants with suitable background in machine learning, mathematics,
statistics, computational logic, combinatorial optimization or statistical
physics are encouraged to apply.

COIN is a joint research center of the Aalto University School of Science,
Department of Information and Computer Science, the University of
Helsinki, Department of Computer Science and Department of Mathematics and
Statistics, and Helsinki Institute for Information Technology HIIT. COIN
studies the following research topics:

C1: Learning models from massive data

C2: Learning from multiple data sources

C3: Statistical inference in highly structured stochastic models

C4: Extremely fast inference

F1: Intelligent information access

F2: Computational molecular biology and medicine

In the four core methodological challenges C1–C4 we develop methods for
transforming the data produced in the current data revolution into useful
information. In COIN F1 Intelligent Information Access flagship the
challenge is to make use of massive interrelated information sources,
whether in everyday life or in science, and select what information to
present to the user. The inference needs to be done on-line, learning
relevance from the user’s responses. In COIN F2 Computational Molecular
Biology and Medicine flagship we develop methods for maximally utilizing
the novel measurement databases and structured stochastic models in making
data-driven biology cumulative. We especially welcome applications from
researchers who have solid knowledge and research background in one or
more of the four core methodological challenges C1–C4 and experience and
vision on applying those methodologies on either one of the two flagship
applications F1 and F2 or the other areas referred to above or of interest
to COIN.

The duration of the fixed term contract period is three years at most,
starting on 1 December 2012 at the earliest. In addition to personal
research work, the postdoc or research associate is expected to
participate in specialist teaching and student supervision in the
indicated areas of research, in collaboration with other COIN members.
Good command of English is a necessary prerequisite. The salary level for
beginning postdoctoral researchers in COIN is typically between 3200 and
3600 €/month, depending on experience and qualifications. The contract
includes occupational health benefits and Finland has a comprehensive
social security system.

Application procedure

The positions will remain open until filled. Deadline for the call is 1
November 2012, 3 PM EET. Please send an email to registry@aalto.fi,
indicating that you are applying for a postdoc position at COIN,
containing in one pdf file the following information:

• Your contact information

• Names and contact information of two senior academics available for
reference

• A research statement of at most five pages outlining planned work and
connections to the four core methodological challenges C1–C4 and the two
flagship applications F1–F2.

• Curriculum vitæ.

• List of publications, with pointers to openly available online versions
of at most three of the most relevant publications.

• Degree certificate of the PhD degree, including a transcript of the
doctoral studies. In case the doctoral degree is still pending, an
up-to-date study transcript and a plan for completion of the degree should
be provided.

In addition to the application sent to Aalto registry, please fill in a
separate application form at
https://elomake.helsinki.fi/lomakkeet/37840/lomake.html.

Candidates should also arrange for reference letters from the two
indicated senior academics to be sent separately to HR Coordinator, Mr.
Stefan Ehrstedt, e-mail firstname.lastname@aalto.fi by the deadline of 15
November 2012. Shortlisted candidates may be invited for an interview. In
the review process, particular emphasis is put on the quality of the
candidate’s previous research and international experience, together with
the substance, innovativeness, and feasibility of the research plan, and
its relevance to COIN’s mission. The candidate must have completed his or
her PhD degree before the start of the contract period, and efficient and
successful completion of studies is considered an additional merit.

Further information

For further information, please visit http://research.ics.aalto.fi/coin
and contact:

• HR Coordinator, Mr. Stefan Ehrstedt, e-mail firstname.lastname@aalto.fi
(application process)

• Director of COIN, Prof. Erkki Oja, e-mail firstname.lastname@aalto.fi

• Deputy Director of COIN, Prof. Samuel Kaski, e-mail
firstname.lastname@aalto.fi

• Prof. Erik Aurell, e-mail firstname.lastname@aalto.fi

• Prof. Jukka Corander, e-mail firstname.lastname@helsinki.fi

• Dr. Jorma Laaksonen, e-mail firstname.lastname@aalto.fi

• Prof. Petri Myllymäki, e-mail firstname.lastname@cs.helsinki.fi

• Prof. Ilkka Niemelä, e-mail firstname.lastname@aalto.fi

About Aalto University

Aalto University is a new university created in 2010 from the merger of
the Helsinki University of Technology TKK, the Helsinki School of
Economics, and the University of Art and Design Helsinki. The University’s
cornerstones are its strengths in education and research, with 20,000
basic degree and graduate students, and a staff of 4,500 of whom 350 are
professors. For further information, see http://www.aalto.fi/en.

About University of Helsinki

The University of Helsinki is the most versatile institution of science,
education, and intellectual renewal in Finland, a pioneering builder of
the future. It operates to actively promote the wellbeing of humanity and
a just society. The University of Helsinki is one of the best
multidisciplinary research universities in the world. The high-quality
research carried out by the university creates new knowledge for educating
diverse specialists in various fields, and for utilisation in social
decision-making and the business sector. For further information, see
http://www.helsinki.fi/university.


Additional postdoc position I got from Florent Krzakala, my former collaborator in the Evergrow project:

I would like to invite applications for two postdoctoral positionsfunded by the European Research Council Starting Grant program, in thecontext of the project SPARCS (Statistical Physics Approach toReconstruction in Compressed Sensing) in my group in ESPCI in Paris.The appointments are intended to start in the fall of 2013 (or sooner)and will be for 2 years with a possibility of extension on 3 years.
The candidates can come from different areas (Statistical Physics,Signal Processing, Applied Mathematics, Error correcting codes,Information Theory, Inference and Machine learning) and are expectedto bring their expertise. Successful candidates will thus conduct a vigorous research program within the scope of the project, and areexpected to show independence and team working attitude at the sametime.
For more information, please visit the post-doc announcement page:http://www.pct.espci.fr/~florent/postdoc.html