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source

Hamed Badihi

3 weeks ago

3 PhD Positions in Federated Learning, Trustworthy AI, and Cyber-Physical Systems at Tampere University Tampere University in Finland

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Finland

University

Tampere University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Smart Grid Technology
Mathematics
Cybersecurity
Automation
Federated Learning
Optimisation
Robotics
Cyber-physical System
Renewable Energy Systems
system and industrial engineering

About this position

DARES Group at Tampere University is recruiting 3 PhD positions in federated learning, trustworthy AI, resilient control, optimization, and cybersecurity for cyber-physical systems.

The research is hosted in the Faculty of Engineering and Natural Sciences (ENS) and is connected to ongoing national and EU projects with applications in intelligent wind energy systems, energy-flexible process industries, and smart microgrids. The DARES group focuses on dependability, safety, security, reliability, availability, and resilience in complex cyber-physical(-social) environments.

This opportunity is suitable for candidates with backgrounds in control systems, machine learning, optimization, cybersecurity, automation, cyber-physical systems, and energy systems. The post offers a fully funded PhD position for 3 years, with a competitive gross salary starting at €2,700–3,000/month, plus international collaboration, research visits, and strong academic/industrial links.

Start date is Fall 2026 (flexible). Applications are reviewed on a rolling basis until the positions are filled.

To apply, send your CV, academic transcripts (MSc/BSc), and a cover letter to [email protected].

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.

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