Jobba Statligt

Postdoc fellowship in Data Intensive Scientific Computing

  • Yrkesroll

    Universitets- och högskolelektor

  • Anställning

    Heltid, 6 månader eller längre

  • Lön

    Fast månads- vecko- eller timlön

  • Publicerad

    11 januari

  • Sök jobbet senast

    10 februari

Om jobbet

Welcome to Linnaeus University! We meet the societal challenges of today and tomorrow in a spirit of openness, curiosity and creativity. By creating arenas for exchange of knowledge from different subjects, fields and cultures, we open up for new ideas and create new opportunities for long-term sustainable societal development. Linnaeus University – where people grow.

Linnaeus University is running various national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications – DISA ( addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science, and humanities. Linnaeus University runs a graduate school for industrial doctoral students that focuses on applied research, addressing the big data and artificial intelligence challenges of our industry partners.

The advertised position will be placed at the department of Computer Science and Media Technology in the research group Smart Industry Group (SIG). SIG is interested in leveraging data-driven techniques for making production and products smart. To this end, the SIG investigates Data-driven discovery to learn models from the observation of raw data, and Data-driven analysis to perform online quality prediction and estimation (further information is available at  

Field of subject for the position: Computer Science with specialization in Data Intensive Scientific Computing

Placement: Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden

Employment: 100% employment full-time for two years with possibility for 1-year extension. At most 20% time can be dedicated to teaching and other departmental tasks.

Start date: According to agreement.

Job description and duties:

The postdoc fellow will focus on the application of advanced computing capabilities (e.g., Scientific Machine Learning and Digital Twins) to understand and solve complex problems. In particular, the goal is to model, simulate and analyze complex systems in different application fields, such as mathematics, astrophysics, engineering, and e-health. The postdoc fellow will conduct research within the fields of Data Intensive Scientific Computing in close collaboration with other research groups as well as domain experts within DISA.

In addition, the postdoc fellow will be with applied research in Digital Twins and Scientific Machine Learning, together with small and medium-sized companies in the region Kalmar and Växjö.

The postdoc fellow is expected to regularly present intermediate/final research results at international conferences and workshops, and publish them in conference proceedings and journals.

For requirements, assessment criteria, promotion criteria and contacts visit our website:

Welcome to apply according to instructions, by February 10th 2023.

Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the Apply button at the bottom of the ad. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.



Lönetyp: Fast månads- vecko- eller timlön


Heltid/ Ej specificerat