2 postdoc positions open in Fall 2016

** Aalto University and University of Helsinki, the two leading
universities in Finland within computer science, are looking for two
postdocs at the intersection of Human-Computer Interaction and Machine
Learning **
We are three groups starting new exciting research at the intersection of
machine learning, computational statistics, and human-computer
interaction. We are looking for two postdocs to join us to explore
methodological foundations for co-adaptative interactive systems. The
postdocs will participate in research that establishes the technical
principles that allow choosing the optimum adaptation for an individual by
anticipating how she will react and adjust to the change, taking into
account personal capabilities, knowledge, and behavioral strategies. On
the other hand, co-adaptation is an intriguingly challenging probabilistic
inference problem, which requires developing new Approximate Bayesian
Computation techniques. The objective of co-adaptation is not only to
improve the fluency of computer use but to boost success rate, efficiency,
enjoyability, and capabilities in knowledge-intensive tasks. We are
seeking to fill postdoc positions on two core topics:
1. Learning user models from interactive behavior: inferring parameters,
constraints, and strategies of a user by fitting to log data a model of a
user who plans and optimizes. Probabilistic modelling and Approximate
Bayesian Computation (ABC) are keywords.
2. Model-based user interface adaptation: Machine learning and
optimization methods to decide in real time the timing and type of UI
We expect the applicants to have a PhD degree (or close to completing one)
in machine learning, computational statistics, human-computer interaction,
neurosciences, visualization, or operations research, with an excellent
publication record.
The deadline for sending the application is September 30, 2016, at 2pm
Finnish time.
For the full call text and information about the application process,
please visit: