Postdoctoral & Research Fellowships, Aalto University, Finland (2017)

The Sensor Informatics and Medical Technology (Sensori-informatiikka ja lääketieteellinen tekniikka) research group focuses on the development of probabilistic (i.e. Bayesian) signal processing and machine learning methods especially for health and medical applications. Other applications include smartphone sensor fusion, robotics, positioning systems, target tracking, and many other indirectly measured systems. The used methods include sensor fusion and machine learning methods such as nonlinear Kalman filtering and smoothing, particle filtering and smoothing, Markov chain Monte Carlo (MCMC), Bayesian data analysis, kernel methods, (deep and shallow) Gaussian processes (GP), neural networks, and other non-linear regressors and classifiers.

We are looking for Postdoctoral Researchers or Research Fellows within Bayesian Inference for Medical Applications

The positions belong to the Aalto career system and the selected person will be appointed for a fixed term appointment starting in late 2017 or early 2018.

The position is available in the growing Sensor Informatics and Medical Technology research group. We aim to carry out original high-quality research and continuously publish in top journals and conferences of the field. We have an extensive international collaboration network, which will facilitate the mobility of our researchers to leading research groups abroad, and vice versa. Our group is located at the Department of Electrical Engineering and Automation at Aalto University in Helsinki capital region.

Qualifications
Applicants are expected to have an excellent research track record in Bayesian filtering, probabilistic machine learning and/or the application fields. Good command of English, doctoral degree and a good academic publication record are necessary prerequisites.

To qualify for a research fellow, applicants are expected to have in addition external experience as postdoc or equivalent experience from industry for at least two years, teaching experience and teaching portfolio.

Further details:
http://euraxess.duth.gr