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
We are now looking for 1-2 PhD students in machine learning with a focus on
generative deep learning, placed at the Division for Media and Information
Technology at the Department of Science and Technology, Campus Norrköping.
The positions are part of the Wallenberg AI, Autonomous Systems and Software
Program (WASP). You will take part in the WASP curriculum and benefit from
its extensive network of other PhD students and senior researchers.
WASP is Sweden's largest individual research program ever, a major national
initiative for strategically motivated basic research, education and faculty
recruitment. The program addresses research on artificial intelligence and
autonomous systems acting in collaboration with humans, adapting to their
environment through sensors, information and knowledge, and forming
intelligent systems-of-systems. The vision of WASP is excellent research and
competence in artificial intelligence, autonomous systems and software for the
benefit of Swedish industry. For more information, please see: https: // wasp-
Your work assignments
The research area for the advertised positions lies in the intersection of
machine learning, deep learning, computer graphics and computer vision. The
goal is to create synthetic image data with combinations of computer graphics
and generative deep learning. The generated images will be used as training
data in machine learning applications, for improving performance and
robustness, or as a tool for anonymizing sensitive images. The developed
methods will be tested in various applications, e.g. for medical imaging
diagnostics. The project includes both basic research on the development of
new image generation methods, as well as applied research to show the benefits
of the new methods.
As a doctoral 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.
You will work in the Division for Media and Information Technology at the
Department of Science and Technology at Campus Norrköping. The division
researches and conducts education in areas such as computer graphics, image
analysis, scientific visualization and machine learning, at undergraduate,
advanced and postgraduate levels.
Our research group consists of 20 PhD students, senior researchers and
research engineers. We conduct research projects in areas spanning from deep
learning and medical imaging, to computer graphics and computational
You have graduated at Master's level, or completed courses with a minimum
of 240 credits, at least 60 of which must be in advanced courses, in Computer
Science, Electrical Engineering, Applied Mathematics, or a related field.
Alternatively, you have gained essentially corresponding knowledge in another
You should also have good communication skills, excellent study results and
sufficient knowledge of oral and written English. You must have documented
experience of machine learning, and specifically deep learning. Experience in
generative deep learning, computer graphics, and computer vision is
particularly meritorious. The project involves both theoretical and applied
Great emphasis will be placed on personal qualities and suitability.
Terms of 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
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
Salary and employment benefits
The salary of doctoral students is determined according to a locally
negotiated salary progression.
More information about employment benefits at Linköping University is
Information about union representatives, see Help for applicants.
Apply for the position by clicking the “Apply” button below. Your
application must be received at latest August 15, 2022.
Applications and documents received after the date above will not be
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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contacts from staffing- and recruitment companies as well as vendors of job