Researcher in Statistics

University of Helsinki

ID: 4411
Due Date: 22.10.2025
Starting Date: November 2025, or as agreed
Contract: Full-time, maximum 3.5 years (possibly extendable to 4 years)
Trial Period: 6 months

Position Description

The Department of Computer Science of the Faculty of Science invites applications for a Doctoral Researcher in Machine-Learning, Statistics and Data-Centric Engineering.

The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland, under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University).

We have been developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. We are part of the Helsinki Probabilistic Machine Learning Lab.

The project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. We leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on their underlying Riemannian geometry, as well as for those previously introduced in the literature. These advancements hold significant potential for applications spanning scientific research and societal challenges at large.

The primary research site is the University of Helsinki, but strong collaboration exists with Aalto University, FCAI (Finnish Center for Artificial Intelligence), ELLIS unit Helsinki, and ELLIS Institute Finland. Collaborations also extend to the University of Cambridge, Technical University of Denmark, University of Warwick, Hamburg University of Technology, and others.

Duties

The Doctoral Researcher is expected to:

  • Advance the research project together with the project leader

  • Conduct doctoral studies and research work leading to a completed PhD thesis within 4 years

Your work may also include teaching duties (at most 5% of annual working time).

Requirements and Eligibility Criteria

  • Master’s degree in Statistics, Mathematics, Computer Science, or related field with emphasis on applied mathematics/statistics/machine-learning

  • Prior experience in probabilistic machine-learning, neural networks, statistical inference, or data modelling is considered a bonus

  • Experience with at least one programming language (Python, Julia, R, Matlab, etc.)

  • Excellent communication skills in English, both written and spoken

Note: All doctoral researchers at the University of Helsinki must apply to a doctoral programme. The successful candidate should apply to the Doctoral Programme in Computer Science (DoCS) and obtain the study right within the trial period of six months.

Salary and Benefits

  • Starting salary: approx. 2650–2800 EUR/month, depending on qualifications and experience

  • Comprehensive benefits, including:

    • Occupational health care

    • Access to high-quality sports facilities

    • Professional development opportunities

Finland offers: free high-quality education (also in English), generous family benefits, universal healthcare, and a high quality of life. Finland has been ranked the happiest country in the world for eight consecutive years.

Equality, Diversity, and Inclusion

A diverse and equitable study and work culture is important to us. We encourage applicants from all backgrounds, including those with disabilities, non-traditional career paths, or family/caring responsibilities, as well as international applicants and those displaced by conflict or war.

How to Apply

Please submit your application in English, including the following documents:

  1. Motivation letter (max. 1 page) describing interest in the position and qualifications

  2. Curriculum vitae including list of publications (if any)

  3. One example of a written analytical text (e.g., Master’s thesis). If co-authored, specify your contribution

  4. Names and contact information of two referees willing to provide reference letters (optional)

Deadline: October 22, 2025 (23:59 UTC +3). Early applications are encouraged.

More Information

For project and position-related questions, please contact:

For more information on the PI and publications, see:

  • Multi-Source Probabilistic Inference Research Group (University of Helsinki)

  • Probabilistic Machine Learning Research Groups (University of Helsinki)

About the Department of Computer Science

The Department of Computer Science is a leading unit in Finland responsible for research and teaching in computer science at the University of Helsinki.

Research fields include: artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed systems, intelligent and interactive systems, networks, security, software and database systems.

Teaching responsibilities: Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the Master’s Programme in Data Science (in collaboration with other departments).

Working for the World

Science has the power to change the world. Join one of the best research universities in the world – an international community of over 30,000 students and 8,000 employees, united through bold thinking, science, research, and learning.

We are defined by our multidisciplinary approach and dedication to cross-border collaboration, enabling us to find real solutions and build hope for a sustainable future.

We are united by our values: truth, bildung, freedom, inclusivity – and by our passion for work that truly matters.

Join us: work for the future – work for the world.

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