PhD student in Wireless Communications and Computer Vision
Back to available jobsWe are looking for a PhD student in Wireless Communication and Computer Vision.
Your work assignments
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.
The funder, Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. Read more here: https://wasp-sweden.org/.
You will become a member of the WASP graduate school, which provides an extensive set of courses and a network with partner universities, and AI companies all across Sweden. You will also be invited to participate in annually arranged international visits. Read more: https://wasp-sweden.org/graduate-school/.
Your qualifications
You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering, Computer Science, or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in another way. The requirement for a degree must be met no later than the time the
employment decision is finalized, which occurs when the employment contract is signed.
Applicants must have excellent mathematical maturity and programming skills, and very good English skills, both orally and in writing. We also look for ability to work independently and to formulate and address technical and scientific questions.
Your workplace
The Division for Communication Systems carries out research, undergraduate and postgraduate education. We conduct research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks.
The Division for Computer Vision conducts research and education in machine learning for computer vision at the undergraduate, advanced, and PhD levels. CVL has been identified as an outstanding Swedish research environment within AI in a recent Vinnova report. For further details, see https://liu.se/en/organisation/liu/isy/cvl.
For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy.
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.
To learn more on working as a PhD student at ISY, please contact: isyphdcouncil@groups.liu.se.
Starting date by agreement, but no earlier than August 11, 2025.
Background screening may come to be carried out before any decision on employment is made.
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 May 23, 2025.
Applications and documents received after the date above will not be considered.
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 vendors of job advertisements.