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.
Read more at https://liu.se/en/organisation/liu/itn
Hereby advertises a position as
PhD student in scientific visualization
formally based at the Department of Science and Technology, Campus Norrköping.
As a PhD student you will primarily devote yourself to your research. As a PhD student you are limited to work with education and administration up to 20 percent of full time.
The scientific visualization group at Linköping University is focused on research ranging from basic research questions in scientific visualization, with a focus on topological data analysis, to a wide range of application driven questions. A primary interest is developing reliable methods based on rigid mathematical foundations targeting visualization needs from specific applications.
The doctoral student will adapt methods from topological data analysis to enable robust, multi-scale feature-tracking used as basis for the visual exploration of complex data sets. The project is driven by scientific questions from applications in climate science, physics and medicine. The research goals include
– Application of topological methods for the analysis of tensor fields, e.g. diffusion tensors, in medical application
– Development of descriptive data summaries that can be used for the comparison of data fields
– Tracking of topological structures over time and detection of changes
– Development of a visualization concepts for the interactive exploration of the tracking results
Qualified to PhD studentships are only those who are or have been admitted to graduate studies.
The candidate should hold a MS degree or equivalent in Computer Science, Mathematics or a closely 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 also a requirement. Knowledge and experience in one or more of the following areas would be advantageous: experiences in topological data analysis, pattern recognition, computer graphics, and human-computer interaction.
The appointment will be until further notice for a maximum of one year at a time. A doctoral student may not be employed during a period exceeding eight years. The total time of appointment must not exceed the equivalent of four years´ full time research training.
By agreement, as soon as possible
The salary for PhD students is based on the department’s salary scale.
For contact with union representatives see below.
Apply for the position by clicking the “Apply” button below. Your application must be received at latest 7 April, 2020.
Applications and documents received after the date above will not be considered.
Equal opportunitiesA majority of our PhD students within ITN are men which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.
Linköping University will
continue to develop as an attractive and creative place of work,
characterized by equal terms and actively works for equality and
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.
+46 11 363462
Post expires on Tuesday April 7th, 2020