Hamed Badihi
1 month ago
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Doctoral Researcher in Dependable Automation, Artificial Intelligence and Cyber-Physical Systems (3 positions) Tampere University in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Jul 31, 2026
Country
Finland
University
Tampere University

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About this position
Tampere University is inviting applications for three fully funded Doctoral Researcher positions in the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group at the Faculty of Engineering and Natural Sciences. The positions focus on dependable automation, trustworthy artificial intelligence, resilient control, and cybersecurity of cyber-physical systems, with research grounded in control engineering, AI, cybersecurity, and optimization.
The successful researchers will contribute to national and European projects with applications in intelligent wind energy systems, energy-flexible process industries, smart microgrids, and other safety-critical industrial cyber-physical systems. The role offers the opportunity to work in a multidisciplinary environment with academic and industrial collaboration, high-impact publications, conference presentations, and possible short-term research visits to partner institutions.
Applicants may express preference for one or more of three research directions: (1) Federated Learning and Trustworthy Artificial Intelligence, including privacy-preserving collaborative machine learning, explainable AI, distributed intelligence, and condition monitoring; (2) Resilient Control and Optimization for Industrial Systems, including advanced control, optimization, and decision-making for adaptive operation; and (3) Cybersecurity and Resilience of Cyber-Physical Systems, including secure automation, cyberattack detection and mitigation, and resilient architectures.
Eligibility is aimed at candidates who hold, or will hold by the start date, a Master’s degree in systems and control, electrical engineering, mechanical engineering, or a related field. A solid background in control systems, automation, machine learning and AI, optimization, cyber-physical systems, cybersecurity, or energy systems is expected, together with strong programming skills in Python, MATLAB/Simulink, C/C++, or similar. Excellent written and spoken English is required; Finnish is not required. Candidates should also be able to work both independently and collaboratively.
The positions are full-time and fully funded for three years, with a typical starting salary of approximately €2,700–3,000 per month under the Finnish University Salary System, and salary progression depending on experience and doctoral study progress. The positions are planned to start in Fall 2026 or by agreement. A six-month trial period applies.
Applicants must submit their materials via the online recruitment system by 31 July 2026. The application must be in English and combined into a single PDF named LastnameFirstname.pdf. Required documents include a one-page cover letter, CV with two referees, degree certificates, and transcripts; optional supporting documents may also be included. Incomplete or non-compliant applications will not be considered. For more information, contact Assistant Professor and Group Leader Hamed Badihi at [email protected].
Funding details
Available
What's required
Applicants must hold a Master’s degree in systems and control, electrical engineering, mechanical engineering, or a related field at the time of application. A strong background in one or more of the following is expected: control systems and automation, machine learning and AI, optimization, cyber-physical systems, cybersecurity, and energy systems. Strong programming skills in Python, MATLAB/Simulink, C/C++, or similar are required. Proficiency in written and spoken English is required, along with excellent communication and interpersonal skills. Finnish is not required. Applicants must be able to work independently and as part of a team. Before starting, the selected candidate must apply for a study right in Tampere University’s doctoral program unless they already have one.
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