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Umeå University

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Postdoc in Data Privacy and Machine Learning at Umeå University Umeå University in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 9, 2026

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Country

Sweden

University

Umeå University

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Keywords

Computer Science
Information Technology
Mathematics
Data Privacy
High-dimensional Data
Statistics
Machine learning

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About this position

Umeå University in Sweden is advertising a 2-year postdoctoral position in data privacy and machine learning within the Department of Computing Science. The project focuses on privacy-aware machine learning, including data-driven models for complex and temporal data, synthetic data generation, and privacy-preserving methods for centralized, decentralized, and federated settings.

The research group is the Privacy-aware transparency decisions group led by Prof. Vicenç Torra. The group works on data privacy for machine and statistical learning, with interests in differential privacy, integral privacy, k-anonymity, and scalable privacy-preserving AI systems. The position is linked to WASP (Wallenberg AI, Autonomous Systems and Software Program), a major Swedish research initiative.

Eligibility highlights: applicants must hold a PhD or equivalent degree in Computer Science or another relevant subject; the doctorate should normally have been completed within the last three years. Documented research experience in privacy and machine learning is required, and publications in top venues such as NeurIPS, ICML, S&P, PETs, or ESORICS are highly meritorious. Strong English proficiency is required.

Funding and terms: the appointment is full-time for two years and is funded by WASP. The post is a temporary employment at Umeå University; no stipend amount is stated.

Application window: the deadline is 9 August 2026. Applicants must submit a cover letter, CV with publication list, doctoral degree documentation, diplomas, course list and grades, thesis, up to five relevant articles, and two references through the university’s electronic recruitment system.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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