Postdoc in scientific visualization

Linköping University

Application deadline

March 15, 2022

Postdoc in scientific visualization 

Linköping University

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

At the Department of Science and Technology, at the university’s Norrköping campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community.

We are now looking to appoint a postdoc in the field of scientific visualization.

Research area
Visual analysis of high-resolution spectral data from photon-counting detector computer tomography imaging (PCD-CT).

Work assignments
The objective of this PostDoc is to develop methods for the analysis and visualization of data collected from a new Photon-Counting Detector Computer Tomograph (PCD-CT) at the Center for Medical Image Science and Visualization (CMIV) at Linköping university. It offers new opportunities in imaging the coronary arteries and assessment of cardiac function. This technology is groundbreaking and currently limited to very few centers in the world. The larger context of this project is to develop a pipeline for the generation of personalized heart models improving the treatment of cardiovascular diseases in the future.

You will be part of the team that develops methods to supports an efficient and effective analysis of the data for diagnosis and model building, integrated into a visual data browser with high-quality rendering. Your part involves researching extensions to commonly used methods, like volume rendering or flow visualization, to this new kind of data.

This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving the people´s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The programme will train the next generation of life scientists and create a strong computational and data science base. The program aims to strengthen national collaborations between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more:

Within the WASP-DDLS financed project “Huge Complex Diagnostic Imaging Data”, two postdoc will work jointly on a pipeline for the generation of personalized models from huge complex imaging data.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

The workplace
You will be employed in the Department of Science and Technology and placed at the division Media and Information Technology. The research group belongs to the unit Scentific Visualization, lead by Professor Ingrid Hotz. 

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for an experienced researcher with a background in applied visualization and rendering. The candidate should hold a PhD degree in Computer Science or a related subject. The candidate should have excellent programming skills in c/c++ or similar, and good knowledge of graphics programming. Fluency in spoken and written English is beneficial. Since the position is on the interface between image analysis and visualization strong skills in interdisciplinary communication and collaboration are required.

Great emphasis will be placed on personal qualities and suitability

About this job
This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date
By agreement. 

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Trade union representatives
Information about trade union contacts can be found here.

Application procedure
Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than March 15, 2022.

Applications received after the deadline will not be considered.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Ingrid Hotz

Professor, enhetschef

+46 11 363462

Martina Klefbeck

HR partner


Last updated: 2022-02-08

Content Responsible: David Gotthold(