진학프로석·박사 채용 접수 플랫폼

About us

The Department of Engineering at the University of Skövde is characterized by a creative and dynamic environment, with a collaborative atmosphere, modern facilities and strong industrial partnerships. For more than a decade, the department has shown how a small university can conduct high-quality applied research and education, as well as develop the methods and technical innovations that characterize a successful research environment.

You will be part of the Virtual Engineering (VE) research environment at the Department of Engineering, University of Skövde. One of VE's main visions is to contribute to a "viable society" by developing future production systems, optimizing manufacturing methods and prioritizing human-centered design in production systems. The research environment also contributes to "a digitalized and sustainable future" by offering digital solutions that strengthen sustainability, efficiency and human-centeredness.

Your role

You will be part of a team whose work has great significance for industry, society and academia. As a postdoctoral fellow, you will focus on developing intelligent, adaptive and sustainable manufacturing systems that strengthen operational robustness, improve resource efficiency and raise the quality of decision-making.

The research will investigate how simulation-based optimization, digital twins, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning-based optimization and multi-agent-based decision-making for dynamic production planning, scheduling, resource allocation and disturbance management in complex industrial environments.

The main tasks are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent.

The position requires:

• • completed a PhD in mechanical engineering, information technology or a related field or has a foreign degree that is considered equivalent to a PhD
• • documented experience in research in simulation-based modeling and optimization of complex industrial or socio-technical systems, especially production and manufacturing systems
• • documented experience in research in multi-objective optimization, knowledge-driven optimization, learning-enhanced optimization or AI-based decision support
• • good ability to communicate verbally and in writing in English
• • good collaboration skills and the ability to build relationships and research networks.

We will also evaluate the following criteria when hiring:

Of highest importance are:

• • A Doctoral degree completed no more than three years before the application deadline.

• • The extent to which the applicant demonstrates the competencies required to meet the eligibility criteria.

Of secondary importance are:

• • Experience with Python and relevant libraries for machine learning, optimization and simulation.
• • Documented expertise in simulation, digital twins, adaptive optimization or intelligent decision support systems.

Also of importance:

• • Experience in collaboration with industrial partners and applied research.
• • Ability to clearly present scientific results in speech and writing.
• • Good ability to communicate verbally and in writing in

Employment type: The position as a postdoctoral fellow is full-time and is made in accordance with the current collective agreement between the Swedish Employers' Agency, OFR-S, Saco-S and SEKO. The position is limited in time for two years.

Employment scope: Full-time (100%)

Application deadline: July 31st 2026

Registration number: Ref nr HS 2026/485

Access: By agreement

Contact Information: Information about the position is provided by Head of Department Stefan Ericson ([email protected]) and Associate Professor Masood Fathi ([email protected]). Union information is provided by Anders Johansson (Saco-S) or Maria Carlstedt (ST). All persons can be reached via the University's switchboard 0500-44 80 00.

Application
You apply for the position via our website, www.his.se/jobb by clicking on "Apply" at the bottom of the advertisement. There you can also read more about the University's recruitment process and the benefits you have as an employee with us. We look forward to receiving your application!

The following documents must be attached to your application:

• • Personal letter
• • CV
• • Certificates/grades and other qualifications you wish to submit in support of your application
• • Portfolio of qualifications where you describe your scientific and educational activities
• • Scientific publications, attach a maximum of five scientific publications (of which at least two were published in the last three years)
• • Complete list of publications.

Contact the HR department at [email protected] if you have publications that cannot be attached electronically directly to the application. The publications must be received by the University no later than one week after the application deadline.