Doctoral Researcher in Machine-Learning: The University of Helsinki’s Department of Computer Science is inviting applications for a Doctoral Researcher position starting from November 2025. This role focuses on advancements in Bayesian inference through the integration of differential-geometric methods, engaging in research that encompasses machine-learning and statistics.
Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering
Designation
Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering
Research Area
- Machine Learning
- Statistics
- Data-Centric Engineering
Location
University of Helsinki, Finland
Eligibility/Qualification
Qualification | Requirements |
---|---|
Degree | Master’s degree in Statistics, Mathematics, Computer Science, or related fields required. |
Experience | Prior experience in probabilistic machine learning, statistical inference, and data modeling preferred. |
Programming | Experience in programming languages (Python, Julia, R, Matlab, etc.) is expected. |
Language | Excellent communication skills in English (both verbal and written) required. |
Description
The successful candidate will join the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland. The position offers a full-time contract for a maximum of 3.5 years, with potential extension. The Doctoral Researcher will:
- Collaborate with the project leader to advance research.
- Conduct doctoral studies leading to PhD completion within four years.
- Possible teaching duties (up to 5% of annual working time).
How to Apply
Applicants should submit the following documents in English:
- A motivation letter (max. 1 page)
- A current curriculum vitae detailing qualifications and publications
- An example of a written analytical text (Master’s thesis recommended)
- Names and contact information of two referees (optional)
Applications are to be submitted via the University of Helsinki’s recruitment system.
Last Date to Apply
October 22, 2025 (23:59 UTC +3)