Postdoc/RA in Machine Learning, Computational Inference

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

To apply and to learn more, visit:

www.aalto.fi/en/current/jobs/teaching_and_research/coin_postdocs/

Deadline 1 November, 2012 15:00 EET