Postdoc: Privacy‑Aware ML & Federated Learning Research

Wifo; Umeå kommun; On-site; SEK 350,000 - 500,000; Full time

Job summary

Wifo is seeking a Postdoctoral Researcher in Data Privacy and Machine Learning for a full-time, two-year position starting January 8, 2026. The project involves developing privacy-aware ML models for complex data, collaborating internationally, and preparing publications.

Applicants should have a PhD in Computer Science or related field, proven experience in data privacy and ML, and a strong publication record. The application includes a cover letter, CV, and other relevant documents, due by August 9.

This position encourages candidates from all backgrounds and supports equal opportunities.

Qualifications

• PhD (or equivalent) completed no later than three years before appointment.
• Documented knowledge in data privacy and machine learning.
• Strong publication record in top conferences.
• Excellent command of English.

Responsibilities

• Conduct research on privacy-aware machine learning.
• Design algorithms and evaluate privacy models.
• Publish results in top venues.
• Collaborate with national and international research groups.

Skills

Data privacy

Machine learning algorithms

Research experience

Strong publication record

English proficiency

Education

PhD in Computer Science or related field

Job description

Wifo is seeking a Postdoctoral Researcher in Data Privacy and Machine Learning for a full-time, two-year position starting January 8, 2026. The project involves developing privacy-aware ML models for complex data, collaborating internationally, and preparing publications.

Applicants should have a PhD in Computer Science or related field, proven experience in data privacy and ML, and a strong publication record. The application includes a cover letter, CV, and other relevant documents, due by August 9.

This position encourages candidates from all backgrounds and supports equal opportunities.