Postdoc position Federated​/Continual Learning Time-Series IoT Data; TRUMAN Project

Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project)

Looking for a postdoc position advanced in federated and continual learning for time-series IoT data. This role supports the TRUMAN Project aimed at privacy-preserving and robust AI systems.

• Research Federated Continual Learning: develop novel, privacy-preserving algorithms that enable distributed wearable devices to learn from evolving data streams.
• Analyze Mobile & Wearable Data: work with noisy, high-frequency time-series sensor data from mobile IoT devices to address user heterogeneity, concept drift, and personalization.
• Resource-Efficient AI: ensure lightweight models suitable for edge devices, balancing accuracy with energy consumption and computational constraints.
• Project Coordination: assist the PI in managing work package tasks, tracking technical progress, coordinating with partners, and contributing to deliverables.

We are looking for a researcher at the intersection of Pervasive/Mobile Computing and Machine Learning.

• Background:
  PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields.
• Core Expertise:

- Strong expertise in Federated Learning and/or Continual Learning, with a solid understanding of the challenges of combining the two paradigms.

- Demonstrated ability to translate theoretical methods into working prototypes or deployable systems.

• Data and System:

- Proven track record analyzing time-series IoT sensor data from wearables or mobile devices.

- Comfortable working with imperfect, noisy, heterogeneous sensor data and applying robust preprocessing, feature extraction, and validation workflows.

- Solid understanding of the practical constraints of mobile and embedded hardware.

- Experience implementing or optimizing models for on-device or edge execution is a strong plus.

• Project Organizational
  
  Skills:
  
  You are well-organized and capable of coordinating a research work package.
• Communication:

- Excellent communication skills in English.

- Comfortable working in interdisciplinary and international teams.

• A full-time position for 1.5 or 2 years.
• Salary in accordance with the collective labour agreement for Dutch universities.
• Gross monthly salary ranging from €3 546 to €5 538, depending on experience and qualifications.
• Benefits: holiday allowance 8 % of gross annual salary, end-of-year bonus 8.3 %, solid pension scheme.
• Leave: 232 leave hours for full-time employment based on a formal workweek of 38 hours.
• Free access to sports facilities on campus.
• Family-friendly institution offering paid and unpaid parental leave.
• Excellent career support and professional development courses.
• Opportunity to pioneer privacy-preserving AI while gaining European project management experience.

Are you interested? Please send your application via the ‘Apply now’ button below before February 16, 2026 and include:

• A cover letter highlighting your experience with time-series sensor data and distributed/continual learning paradigms.
• Research Statement.
• Two reference letters (one from your PhD supervisor).

Please contact Dr. Özlem Durmaz Incel if you have any additional questions via [email protected].

You will join the Pervasive Systems research group within the Department of Computer Science, focusing on scalable, adaptable, and trustworthy systems.

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) collaborates with industrial partners and researchers in the Netherlands and abroad. Research has a high profile nationally and internationally.