Publisher
source

Umeå University

Postdoctoral Position in Data Privacy and Machine Learning at Umeå University Umeå University in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is fully funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). It is a full-time, two-year postdoctoral position with monthly salary and good employment conditions. No tuition fees apply.

Deadline

Expired

Country flag

Country

Sweden

University

Umeå University

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Keywords

Computer Science
Machine Learning
Data Privacy
High-dimensional Data

About this position

Umeå University, one of Sweden’s largest higher education institutions, is offering a two-year postdoctoral position in data privacy and machine learning, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The position is based in the Department of Computing Science, which is known for its inclusive and dynamic research environment and strong international collaborations.

The successful candidate will join the Privacy-aware transparency decisions research group, led by Professor Vicenç Torra, focusing on developing privacy-aware machine learning models for complex and high-dimensional data, including temporal and synthetic data. Research topics include differential and integral privacy, k-anonymity, privacy in centralized and decentralized (federated learning) scenarios, and privacy-preserving machine learning at scale. The group is actively involved in national and international collaborations and edits a leading journal in data privacy.

Applicants must hold a PhD in Computer Science or a closely related field, with documented research experience in designing algorithms and methods for data privacy and machine learning. Publications in top venues such as NeurIPS, ICML, S&P, PETs, or ESORICS are highly valued. Excellent written and spoken English is required. The position offers a full-time contract, starting 1 April 2026 or as agreed, with a competitive monthly salary and comprehensive support for career development.

To apply, candidates should prepare a cover letter, CV with publication list, verified degree certificates, academic transcripts, doctoral thesis, up to five relevant articles, and contact information for two references. Applications must be submitted in English or Swedish via the university’s electronic recruitment system by 3 February 2026. For further details, contact Professor Vicenç Torra at [email protected].

Umeå University is committed to equal opportunity and welcomes applicants from diverse backgrounds. The university is located in Umeå, Sweden, and offers a vibrant academic community with excellent research facilities and opportunities for interdisciplinary collaboration.

Funding details

The position is fully funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). It is a full-time, two-year postdoctoral position with monthly salary and good employment conditions. No tuition fees apply.

What's required

Applicants must have a PhD degree or a foreign degree deemed equivalent in Computer Science or a closely related field, completed no more than three years before the appointment (exceptions for special reasons). Documented knowledge and research experience in designing algorithms and methods for data privacy and machine learning is required. Publications in top venues in machine learning, security, and privacy are highly meritorious. Excellent command of English, both written and spoken, is essential. The application must include a cover letter, CV with publication list, verified degree certificates, academic transcripts, doctoral thesis, up to five relevant articles, and contact information for two references.

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Professors

Professor at Umeå University

University Name
Country flag

Sweden

Research Interests

Statistics

Data Privacy

Computer Science

High-dimensional Data

Machine Learning