Postdoctoral in Information Technology

The University of Skövde is a central and leading player for education, research and collaboration that supports the conversion for a sustainable future - regionally, nationally and internationally. Our 12 000 Students and 460 Employees create the conditions for society's digital transformation and sustainable social development through high quality education and research in selected areas. Welcome to a living campus in the middle of Skaraborg.

About us

At the Department of Data and System Science, you will be met by a creative and dynamic environment with modern technical infrastructure, well-equipped premises and strong collegial cooperation with close connection with the surrounding society.

At the University of Skövde, we work together, close and cross-disciplinary to create commitment, quality and results on a living campus. We take joint responsibility for tasks and work towards the business goals. The college's conditions create good opportunities for closeness and collaboration between institutions, departments, students, colleagues and partners.

The employment is within the subject of information technology, which at the University of Skövde is defined as the study of how information is represented, processed and communicated in artificial and natural systems and how information technology systems are used and develop in order to provide useful system solutions for individual

You will be part of the Sail research group, whose research activities are focused on AI-based modeling of complex systems, uncertainty management in depth learning, Visual Analytics, transparent decision support systems, data protection and recommendation systems. Sail is responsible for the university's master's program in Data Science.

Your role

You will have a central role in the ongoing Horizon project Proctwin where we examine how a distributed AI system can capture and predict the behavior of a production system during production conditions. The project develops data collection, data storage, algorithms and AI learning principles that enable the parts in a distributed AI system to train together to dynamically interact for a better joint production result. The project consists of twelve partners in Europe, with SSAB in Sweden and Celsa in Spain as two large steel producers, with which the project collects data and for which AI models are developed. The service is central within the project when you in cooperation with the project members are expected to drive development of algorithms and knowledge within AI by developing experiments and simulations, and disseminating the results. You are expected to drive publications to contribute to new knowledge in dynamic distributed AI systems so that this becomes contributions to the development of existing research front.

The main tasks in the employment are:

• Contribute the Proctwin project by independently operating work packages in collaboration with industrial partners and other project members.
• Designing, implementing and further developing research software, such as simulation environments, data pipelines and infrastructure, for training and evaluating machine learning models within distributed AI.
• Participate in and operate the work of publications in the area.
• Help obtain and implement new research projects.
• Say at the department with relevant teaching.

The employment will primarily apply to research. Teaching or other administrative tasks can be included with up to 20 percent. Additional tasks may be included in the employment.

We are looking for you who have:

• Deposed PhD in information technology, data logic or computer science, or have a foreign degree that is deemed to correspond to a doctoral degree.
• Documented experience of research in AI, machine learning and data science with applications in industrial systems.
• Good ability to communicate in speech and writing in English.
• Documented good cooperation ability and ability to build relationships and research networks

We will also value the following assessment grounds at the time of employment:

Of the highest importance is:

• Deposed a doctoral degree not more than three years for the end of the application period.
• The degree of such skill that is a requirement for the authorization
• Documented good ability to independence at work.
• Experience of the development of distributed AI or multi-agent system based on current research.
• Relevant publication history.
• Experience of software development for research purposes, in information technology or computer science.

Of second highest importance is:

• Experience of industrial cooperation for research purposes, mainly in highly automated manufacturing industry with large data sets

Of importance is also:

• Experience of, or documented potential for, teaching within the relevant areas.

Position of employment: The employment as a postdoctoral does refers to full-time service and is made in accordance with current collective agreements between the employer's work, OFR-S, SACO-S and SECO. The employment is time-limited for two years.

Scope: 100 %

Last application date: 20 October 2026

Diary number: ref nr HS 2026/594

Access: According to Agreement

Contact information: Disclosures If the employment is provided by department manager Holgersson and Deputy Professor Gunnar Mathiasson. Union information is provided by Anders Johansson (Saco-S) or Maria Carlstedt (ST). All people are accessed via the college gear 0500-44 80 00.

Application

You are looking for the employment via our website, www.his.se/jobb by clicking "Apply" at the bottom of the ad. There you can also read more university's recruitment process and what benefits you have as employees with us. Welcome with your application!

To your application, the following documents must be attached:

• Personal letter
• Resume
• Certificate / grades and other Merit Documents You as applicants want to invoke
• Merit portfolio where you describe your scientific and educational activities
• Scientific publications, attach a maximum of five scientific publications (of which at least two published over the past three years)
• Full publication list.

Contact the HR department on hr-specialister.hr@his.se if you have publications that cannot be attached electronically directly into the application. The publications must be received by the college no later than one week after the last application date.