We are looking for 2-3 postdoctoral researchers to join the group, with applications solicited through the FCAI winter call (deadline Feb 2, 2025). Please indicate clearly in the cover letter your desire to work with the group leader and explain which topics you are interested in. If the call schedule is too late and you are looking for a position to start soon, please send email for the group leader instead.
We are interested in applicants with broad expertise profiles, with opportunities to work on the following areas:
1. Probabilistic methods, with specific interest on efficient approximate inference (MCMC, Laplace, variational approximation) and flexible models (GPs, flows, diffusion models etc). Examples of our recent activities and work in this area:
2. Collaborative AI and human modelling, with specific interest in eliciting and using tacit human knowledge. Examples of our recent activities and work:
3. Machine learning for science, with specific interest in virtual laboratory as domain-agnostic platform for assisting scientific research and machine learning for ultrasonics and food science applications. We are specifically looking for postdocs interested in AI-assisted design of novel food production processes via use of plant and fermentation-based proteins, to work on the newly launching project in collaboration with VTT as part of a NSF Global Center's program, with background e.g. in Bayesian optimization, physics-informed machine learning, and AI4Science in general. No prior exposure to food sciences is required, but is a clear merit. Examples of our recent activities and work:
We are looking for interested in assisting scientific discovery with machine learning and AI methods. We have open positions for both (a) human-AI collaboration in scientific research, for instance focusing on eliciting and using human expertise or assisting researchers in most efficiently using scientific measurement devices and computational method, and (b) machine learning methods for specific applications in ultrasound physics, food science, and chemistry. For more details on these topics, see the descriptions and links above in the postdoctoral researcher call -- we are hiring interns largely for the same topics.
We are interested in candidates with various backgrounds, but expect some experience with machine learning (e.g. Introduction to Machine Learning) and familiarity with statistical models (e.g. Statistics for Data Science, Bayesian Data Analysis, or similar courses). Please describe your interests and competence in the application letter.
Please apply through the Faculty summer job call, with application deadline of January 29. Note that we will only consider applicants already in Finland, and will prioritise applicants studying at University of Helsinki.
Exceptional students interested in doctoral studies and strong candidates for post-doctoral researcher positions are encouraged to contact the group leader directly also outside the calls. Check also https://fcai.fi/open-positions for possible open positions in artificial intelligence research in several research groups in the Helsinki area.