There are several PostDoc positions open in Aalto University and University of Helsinki related to statistical modeling, Bayesian inference, probabilistic programming (including Stan) and machine learning. There is also possibility to collaborate with me :)

See a detailed list of the research areas and the full call text. The deadline is April 1, 2016.

My favorite topics in the call are

6. Digital Health & Data-Driven Healthcare
… to work on machine learning and computational modelling problems arising in Digital Health and Data-Driven Healthcare, related to new large research initiatives in Health&Wellbeing research in the Helsinki region. The positions allow combining state-of-the-art computational methods with large-real world data arising in healthcare and personalized medicine…

8. Probabilistic Machine Learning
… probabilistic modelling and machine learning, both theory and applications. Candidates interested in some subset of the following are particularly welcome: Bayesian inference, multiple data sources, prior elicitation, differential privacy, ABC, retrieval of relevant data. Strong application areas with excellent collaboration opportunities are: personalized medicine, bioinformatics, user interaction, brain signal analysis, information visualization and intelligent information access.

9. Inference
… 1. Inference on intractable models and 2. interactive intent modelling … Outstanding applicants interested in other aspects of machine learning, statistical inference, logical inference and their applications are welcome as well.

10. Machine learning for high-dimensional and structured data
…to develop new machine learning methods for high-dimensional and relational data. The work is part of a project “Machine Learning for Augmented Science and Knowledge Work,” which gives unique application opportunities in personalized medicine, crop-breeding and information seeking.