PhD in Machine Learning of Geometric Representations at ISY

Original title: PhD student focusing on Machine Learning of Geometric Representations at ISY

Reference number LiU-2026-03853

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We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY).

Your work assignments

Within the research unit of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric Representations (Legere) or contact M. Felsberg.

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 percent of full-time.

Your workplace

The Division of Computer Vision and Learning Systems (CVL) at ISY has a vibrant research environment with a total of approximately 30 employees. This includes four faculty members, Assistant Professors, Postdocs, and PhD students, with PhD students making up half of the staff. We also have several adjunct researchers. CVL conducts research and education at the undergraduate, advanced, and doctoral levels in machine learning within computer vision.

The division has been mentioned as one of Sweden's best AI research environments in Vinnova's report from 2025. We have ongoing research activities within WASP (Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (Excellence center), and LiU's profile area VDF (Visual digital futures).

For more information about our work, please visit our webpage: https://liu.se/en/organisation/liu/isy/cvl.

For more information about ISY, go to: 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 normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan.

Union representatives

Information about union representatives, see Help for applicants.

Your qualifications

You have graduated at Master’s level in computer science and engineering, applied mathematics, applied physics, or electrical engineering, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in computer vision or equivalent. Alternatively, you have gained essentially corresponding knowledge in another way. The degree requirement must be fulfilled no later than the time when the employment decision is made, that is, when the employment contract is signed.

Applicants must have strong mathematical ability and experience in machine learning, programming, and analyzing visual data.

Furthermore, you have the ability to work long-term and move projects forward even when challenges arise. You enjoy working towards results and strive to deliver work of high scientific quality. The role requires that you collaborate well with others in the research environment while communicating clearly. We place great emphasis on a quality-conscious approach and on strong linguistic analytical ability, meaning that you can process text, theory, and research literature in a structured and reflective way. In addition, you have well-developed problem-solving skills and can analyze complex research questions, identify relevant approaches, and independently drive your work forward.

As our activities have an international profile, you must be able to communicate fluently in spoken and written English.

Previous publications from conferences in computer vision or machine learning are considered a merit.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than September 25, 2026.

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

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.

To learn more on working as a PhD student at ISY, please contact: isyphdcouncil@groups.liu.se.

Start date by agreement. However, one of the positions requires a start date no later than 31 December 2026.

Background screening may be carried out before any decision on employment is made.

Contact persons

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