Hamed Badihi
2 months ago
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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
Fully funded PhD position for 3 years. The post states a competitive gross salary starting at €2,700–3,000 per month. It also mentions international collaboration, research visits, state-of-the-art research infrastructure, and strong academic and industrial collaboration.
Country
Finland
University
Tampere University

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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
Fully funded PhD position for 3 years. The post states a competitive gross salary starting at €2,700–3,000 per month. It also mentions international collaboration, research visits, state-of-the-art research infrastructure, and strong academic and industrial collaboration.
What's required
Applicants should have a strong background in one or more of the following areas: control systems, machine learning, optimization, cybersecurity, automation, cyber-physical systems, and energy systems. The post asks for highly motivated doctoral researchers and requests CV, academic transcripts (MSc/BSc), and a cover letter. The position is for PhD-level doctoral researchers and starts in Fall 2026, with flexible timing.
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