PhD student in Visualization and Media Technology with focus on Scientific Visualization

Ref LiU-2023-03052

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We are looking for a PhD student in Visualization and Media Technology with focus on Scientific Visualization

Your work assignments

This Ph.D. position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D. will be developing efficient and reliable algorithms that arise in the context of topological data analysis and rendering for the visualization of large amounts of data. Close cooperation with other visualization projects in various application areas is expected.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your qualifications

You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the respective area.  Alternatively, you have gained essentially corresponding knowledge in another way.

The candidate should have excellent programming skills, preferably C++, and good knowledge of graphics programming and enjoy solving algorithmic challenges 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 applied visualization, topological data analysis, and computer graphics.

Great emphasis will be placed on personal qualities and suitability

Your workplace

The scientific visualization unit is a part of the division Media and Information Technology at The department of science and Technology (ITN) at Linköping University. The focus is 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.

Read more here: Scientific Visualization – Linköping University (liu.se)

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement.

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than November 30, 2023.

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
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Contact persons

Ingrid Hotz

Professor, Head of unit

+4611 36 34 62

ingrid.hotz@liu.se

Emma Törnqvist

HR partner

+4611 36 34 48

emma.tornqvist@liu.se