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Doctoral Researcher in Dependable Automation, Artificial Intelligence and Cyber-Physical Systems (3 positions)
Tampere University

Doctoral Researcher in Dependable Automation, Artificial Intelligence and Cyber-Physical Systems (3 positions)

2026-07-31 (Europe/Helsinki)
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Tietoja työnantajasta

Tampere University is one of the most multidisciplinary universities in Finland. We are building a new model for higher education and research in F...

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Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en

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. We combine fundamental research with application-driven innovation through close collaboration with academic and industrial partners.

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.

Job Description

We are seeking three highly motivated Doctoral Researchers, each to be appointed to one of the following research areas. Applicants may indicate one or more preferred areas in their cover letter.

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.

The exact direction of the research is determined by the needs and objectives of the DARES group's research projects while taking into account the selected candidate's expertise, experience, and research interests. The positions offer flexibility to tailor both the research focus and responsibilities to support the candidate's professional development and project objectives.

The successful candidates will collaborate within a multidisciplinary research team to advance the state of the art in their respective fields. Responsibilities include conducting high-quality research, publishing results in leading international journals, presenting findings at international conferences, and contributing to collaborative research activities. Depending on the project, the position may also include short-term research visits to partner institutions to support international collaboration.

Requirements

Applicants are expected to meet the following criteria:

  • Educational Qualification: Must hold a Master’s degree in systems and control, electrical engineering, mechanical engineering, or a related field at the time of application.
  • Academic Background: 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.
  • Technical Proficiency: Strong Programming skills (e.g., Python, MATLAB/Simulink, C/C++, or similar).
  • Language Skills: Proficiency in both written and spoken English is required. Applicants should possess excellent communication and interpersonal skills. Proficiency in Finnish is not required.
  • Working Style: Ability to work both independently and as part of a team. Candidates should demonstrate a balance of autonomy and collaborative skills.

Please note that before commencing the position, the selected candidate must apply for a study right within the doctoral program at Tampere University, unless they already have one. Please visit the admissions webpage for more information on eligibility requirements.

Tampere University is a unique, multidisciplinary, forward-thinking, and evolving community. Our values are openness, critical thinking, diversity, learner-centeredness, courage, erudition, and responsibility. We hope you can embrace these values and promote them in your role. 

We offer

The positions are full-time and fully funded for three (3) years, starting preferably in Fall 2026 or as agreed. A trial period of six (6) months applies to all new employees.

The salary will be based on both the job requirements and the employee's personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of a doctoral researcher is placed on level 2-4 of the job requirements scale. A typical starting salary for a Doctoral Researcher is approximately €2,700–3,000 per month. The salary increases based on experience and the progress of doctoral studies.

The DARES Group provides an internationally recognized and collaborative research environment with opportunities to participate in Academy of Finland and Horizon Europe research projects, collaborate with leading industrial and academic partners, undertake international research visits, and present research at major international conferences. Researchers have access to state-of-the-art laboratories and research infrastructure and benefit from multidisciplinary supervision, mentoring, comprehensive doctoral training, and an inclusive and supportive research culture.

Tampere University is strongly committed to the highest level of scientific research and the provision of high-quality doctoral education. The unit and the faculty support doctoral students by offering training and peer support. The University offers a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several on-campus restaurants and cafés with staff discounts. Please read more about working at Tampere University.

Tampere is the largest inland city in Finland and is considered a major academic hub in the Nordic countries. The region is home to a vibrant, knowledge-intensive entrepreneurial community, and the city is an industrial powerhouse with a rich cultural scene and a reputation as a center of Finland's information society. Additionally, Finland is known for being one of the most stable, free, and safe countries in the world, based on various ratings by prominent agencies. Tampere is surrounded by stunning nature, with forests and lakes offering countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year.

Read more about Finland and Tampere: 

How to apply

Please submit your application through our online recruitment system (link below). The closing date for applications is 31 July 2026 (23:59 EET / 21:59 UTC).

Please write your application and all accompanying documentation (listed below) in English and combine them into a single PDF file named “LastnameFirstname.pdf”. Please note that other file formats will not be accepted.

  1. A cover letter (maximum length 1 page, font size 12) explaining your background, motivation, and reasons you are particularly suited for this role.
  2. Curriculum vitae, including the contact details of two referees. 
  3. Degree certificates and transcripts of records for bachelor’s and master’s degree studies
  4. Other relevant documents that support your application (optional).

Please follow the above instructions carefully. Incomplete or non-compliant applications will not be accepted for evaluation. 

For more information, please contact:

Assistant Professor, Group Leader Hamed Badihi, hamed.badihi(at)tuni.fi

Faculty of Engineering and Natural Sciences | Automation Technology and Mechanical Engineering

Lisätietoa työpaikasta

Otsikko
Doctoral Researcher in Dependable Automation, Artificial Intelligence and Cyber-Physical Systems (3 positions)
Työnantaja
Sijainti
Kalevantie 4 Tampere, Suomi
Julkaistu
2026-07-03
Viimeinen hakupäivä
2026-07-31 23:59 (Europe/Helsinki)
2026-07-31 22:59 (CET)
Työpaikan tyyppi
Tallenna työpaikka

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