Two Assistant or Associate Professors (tenure track) in Robotics

We invite applications from highly motivated researchers in robotics with expertise in machine learning. Examples of areas of research that are a good fit for this position include active perception and understanding of complex and unstructured environments, interaction with the environment and enhanced human-machine interaction, robot design, and robot learning. We value experience in developing and applying machine learning algorithms for real-world applications in, e.g., infrastructure or environmental monitoring, search and rescue, agriculture and forestry, surveillance, construction or logistics. Practical experience with physical robotic platforms (aerial, ground or surface robotics) is particularly desirable for one of the positions, while expertise in the broader application of ML-based solutions is considered a strength for the other. Teaching is an important part of the position—we value teaching experience and pedagogical studies.

We consider applicants’ merits broadly and value, for example, broad academic, professional, and societal networks; societal impact and outreach activities; experience in technology transfer; industrial and entrepreneurial experience; and multidisciplinary collaboration.

The successful applicants may be appointed to a fixed-term associate or assistant professorship (tenure track) depending on their previous academic merits.

• For the position of Assistant Professor, we seek proactive researchers and teachers beyond their post doc phase yet still at their early academic career, and who already have a proven track record of scientific research.
• For the position of Associate Professor, we emphasize a international track record of scientific research, teaching experience and societal influence. In addition to these, we value a track record of acquiring external research funding and business collaboration.

The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent Systems, Cybersecurity and Health Technology. 

The Faculty of Technology is the newest faculty of the University of Turku, it was established in the beginning of 2021. The Faculty consists of the Department of Computing, Department of Biotechnology and the Department of Mechanical and Materials Engineering. We have more than 2,000 graduate and postgraduate students and circa 450 employees, 50 of whom are professors. Our faculty is an international, multicultural and diverse work community.

The University of Turku is an inspiring and international academic community of 25,000 students and staff in Southwest Finland. We build a sustainable future with multidisciplinary research, education, and collaboration. With us, your work will have a significant impact and relevance in the changing world.

See our open vacancies