Summary

Umeå University, one of Sweden’s leading research universities, is inviting applications for a 2-year Postdoctoral Researcher position in Data Privacy and Machine Learning at the Department of Computing Science. The successful candidate will work on cutting-edge research focused on privacy-aware AI, federated learning, differential privacy, and machine learning for complex datasets. The position is funded by the prestigious Wallenberg AI, Autonomous Systems and Software Program (WASP) and is expected to begin on 8 January 2027 (or as agreed).

Postdoctoral Position in Data Privacy and Machine Learning at Umeå University, Sweden (2-Year Fully Funded Position)

Summary Table

Designation

Postdoctoral Researcher (2-Year Position) in Data Privacy and Machine Learning

Research Area

The selected candidate will conduct research in areas including:

• Privacy-Preserving Machine Learning
• Data Privacy and Data Anonymization
• Differential Privacy
• Integral Privacy
• k-Anonymity
• Federated Learning
• Privacy-Aware Artificial Intelligence
• High-Dimensional Data Analytics
• Temporal Data Modeling
• Synthetic Data Generation
• Decentralized Machine Learning
• Scalable AI Systems

Location

Department of Computing Science
Umeå University
Umeå, Sweden

Eligibility / Qualification

Applicants should possess:

• PhD (or equivalent foreign doctoral degree) in:
  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Data Privacy
  • Or another closely related discipline.
• Doctoral degree should normally have been obtained within the last three years (exceptions apply for eligible career breaks).
• Demonstrated research experience in:
  • Data Privacy
  • Privacy-Preserving Algorithms
  • Machine Learning
  • AI Systems
• Strong publication record is highly desirable.
• Publications in top-tier venues such as:
  • NeurIPS
  • ICML
  • IEEE S&P
  • PETS
  • ESORICS
  • or equivalent conferences are considered highly advantageous.
• Excellent written and spoken English communication skills.
• Scientific, analytical, and result-oriented research mindset.

Job Description

The successful postdoctoral researcher will join the Privacy-aware Transparency Decisions Research Group, led by Prof. Vicenç Torra, and contribute to advanced research on privacy-aware machine learning.

Key responsibilities include:

• Develop privacy-preserving machine learning algorithms.
• Design AI models that protect sensitive data.
• Research differential privacy, integral privacy, and k-anonymity.
• Develop privacy-aware models for temporal and high-dimensional datasets.
• Work with synthetic data generation and privacy evaluation.
• Conduct research in federated learning and decentralized AI.
• Build scalable privacy-preserving machine learning systems.
• Publish research findings in leading international conferences and journals.
• Collaborate with national and international research groups.
• Participate in interdisciplinary AI research funded by WASP.

How to Apply

Applicants should submit their application through the Umeå University online recruitment system.

The application package must include:

• Cover Letter (maximum two pages) describing:
  • Research interests
  • Motivation for applying
  • Relevant qualifications
  • Connection between previous research and the advertised project
• Curriculum Vitae (CV)
• Complete publication list
• Verified copy of PhD degree certificate (or expected completion documentation)
• Verified academic transcripts and degree certificates
• Copy of doctoral thesis
• Up to five relevant research publications
• Any additional supporting documents
• Contact details of two academic referees

Application Language: English or Swedish

Documents should be submitted in PDF or Word format.

Last Date to Apply

📅 9 August 2026

Link