Doctoral Researcher

The Dependability and Automation Research in Cyber-Physical Systems (DARES) Group at the Faculty of Engineering and Natural Sciences (ENS), Tampere University, invites applications for three Doctoral Researcher positions in dependable automation, trustworthy artificial intelligence, resilient control, and cybersecurity of cyber-physical systems. DARES conducts internationally recognized research on the dependability, resilience, safety and security of automation and cyber-physical systems. Our research integrates control engineering, trustworthy artificial intelligence, cybersecurity, and optimization to develop next-generation methods for monitoring, decision-making, and resilient operation of safety-critical cyber-physical systems. The selected doctoral researchers will contribute to ongoing national and European research projects with applications in intelligent wind energy systems, energy-flexible process industries, smart microgrids and other safety-critical industrial cyber-physical systems. Position 1 – Federated Learning and Trustworthy Artificial Intelligence: Research on privacy-preserving collaborative machine learning, trustworthy and explainable AI, distributed intelligence, and condition monitoring for industrial and energy systems. Position 2 – Resilient Control and Optimization for Industrial Systems: Research on advanced control, optimization, and decision-making methods for adaptive and resilient operation of industrial processes, automation systems, and energy infrastructures. Position 3 – Cybersecurity and Resilience of Cyber-Physical Systems: Research on secure automation, cyberattack detection and mitigation, resilient system architectures, and dependable operation of safety-critical cyber-physical and industrial control systems. Responsibilities include conducting high-quality research, publishing results in leading international journals, presenting findings at international conferences, and contributing to collaborative research activities. Requirements: - Must hold a Master’s degree in systems and control, electrical engineering, mechanical engineering, or a related field at the time of application. - A solid background in one or more of the following areas: Control systems and automation, machine learning and AI, optimization, cyber-physical systems, cybersecurity, and energy systems. - Strong Programming skills (e.g., Python, MATLAB/Simulink, C/C++, or similar). - Proficiency in both written and spoken English is required. - Ability to work both independently and as part of a team. We offer: - Full-time and fully funded for three (3) years, starting preferably in Fall 2026. - Typical starting salary for a Doctoral Researcher is approximately €2,700–3,000 per month. - Occupational health care, flexible working hours, excellent sports facilities on campus and several on-campus restaurants and cafés with staff discounts.