Postdoctoral Researcher in Informatics

Organisation/Company Högskolan i Skövde Research Field Computer science Researcher Profile Recognised Researcher (R2) Final date to receive applications 20 Oct 2026 - 12:00 (UTC) Country Europe Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

At the Division of Computer and Systems Science, you will be part of a creative and dynamic environment with modern technical infrastructure, well-equipped facilities and strong collegial collaboration, closely connected to the surrounding community.

At the University of Skövde, we work together, closely, and interdisciplinarily to create engagement, quality, and results on a vibrant campus. We take shared responsibility for tasks and work towards the organization’s goals. The university’s environment provides strong opportunities for close collaboration between institutions, departments, students, colleagues, and external partners.

The position is within the subject area of Informatics, which at the University of Skövde, is defined as the science that studies how information is represented, processed and communicated in artificial and natural systems and how such systems are used and developed in order to achieve usable and effective applications and solutions for individuals, organizations or society.

You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual analytics, transparent decision-support systems, data protection, and recommender systems. SAIL is responsible for the University’s Master’s Programme in Data Science.

Your role

You will have a central role in the ongoing project Proc Twin that investigates how a distributed AI system can capture and predict the behavior of a production system under operational conditions. The project develops data collection, data storage, algorithms, and AI learning principles that allow components of a distributed AI system to be trained collaboratively to dynamically better cooperate toward a unified production outcome.

The project includes twelve partners in Europe, with SSAB in Sweden and Celsa in Spain, two major steel producers where data will be collected and for which AI models will be developed. The postdoc position is central to the project in that you are expected to collaborate with project members to develop algorithms and knowledge within AI, through the development of experiments and simulations, and disseminate the results.

You are expected to drive the development of publications that contribute to new knowledge within dynamic distributed AI systems, such that it contributes to the research area.

The principal duties of the position are to:

• Contribute to the Proc Twin project by independently leading work packages in collaboration with industrial partners and other project members.
• Design, implement and further develop research software, such as simulation environments, data pipelines and infrastructure, for the training and evaluation of machine learning models within distributed AI.
• Contribute to and take a leading role in the preparation of scientific publications within the field.
• Contribute to securing funding for, and carrying out, new research projects.
• Undertake teaching duties within the department in areas relevant to the post.

The post will primarily consist of research activities. Teaching and other administrative duties may be required for up to 20% of the appointment. Additional duties may be included as part of the appointment.

The position requires:

• A doctoral degree in Informatics, Computer…