Summary
The University of Helsinki invites applications for the position of Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering within the Department of Computer Science. This opportunity focuses on advancing Bayesian inference methods through differential-geometric approaches, contributing to cutting-edge research in a collaborative environment.
Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering, University of Helsinki, Finland
Designation
Position: Doctoral Researcher
Department: Department of Computer Science
Faculty: Faculty of Science
Research Area
- Machine Learning
- Statistics
- Data-Centric Engineering
- Differential Geometry
Location
University of Helsinki, Finland
Eligibility/Qualification
- Master’s degree in Statistics, Mathematics, Computer Science, or related field.
- Emphasis on applied mathematics/statistics/machine learning.
- Prior experience in probabilistic machine learning, neural networks, statistical inference, and data modeling is advantageous.
- Proficiency in programming languages (Python, Julia, R, Matlab, etc.).
- Excellent communication skills in English (both verbal and written).
Job Description
| Key Responsibilities |
|---|
| Advance the research project alongside project leaders. |
| Conduct doctoral studies and research leading to a PhD thesis within four years. |
| May include teaching duties (max 5% of annual working time). |
How to Apply
Submit your application via the University of Helsinki’s recruitment system, including the following documents:
- Motivation letter (max. 1 page)
- Curriculum vitae (including list of publications, if applicable)
- An example of a written analytical text (e.g., Master’s thesis)
- Names and contact information of two referees (optional)
Application Links
Last Date for Apply
Application Deadline: July 15, 2026 (23:59 UTC +2)
For more information about working at the University of Helsinki and living in Finland, visit University of Helsinki Careers.
