Tenure Track Assistant/Associate Professor in Computer Vision and Artificial Intelligence

Aarhus University, Denmark - an international top-100 university - has made an ambitious recruitment plan to expand the Department of Electrical and Computer Engineering. Therefore, the department invites applications from candidates motivated by excellence in research and teaching and external collaboration on societal challenges.

We invite applications for the position of Assistant Professor (tenure track) or Associate Professor in Computer Vision and Artificial Intelligence at the Department of Electrical and Computer Engineering, Aarhus University. The job is available from 1 December 2025, or as soon as possible after that.

The Department of Electrical and Computer Engineering is organized into sections. The position is anchored in the "Signal Processing and Machine Learning" section. This section currently has 7 research groups. The section groups conduct research across a broad range of subdisciplines within Machine Learning, Artificial Intelligence, Computer Vision, and Signal Processing. The disciplines are applied in diverse domains, including Robotics, Geophysics, FinTech, BioScience/Agriculture, Medicine, and others. The section also participates in the AU DIGIT center. We encourage interdisciplinary and research-based innovation, and our externally funded projects collaborate extensively with companies outside AU. The section members teach electrical and computer engineering students at the BSc and MSc levels, covering topics such as Machine Learning, Computer Vision, Signal Processing, Control, and Applied Mathematics, among others.

Job description

Your tasks will be to conduct independent research of the highest international quality within Computer Vision and Artificial Intelligence, or related fields, and you will be responsible for teaching and supervising Bachelor's and Master's degree students at the department. We will encourage you to build your own research group within the department, including Postdoctoral Researchers and PhD students. We assume you will be able to attract external funding to make this happen. Aarhus University has resources to help you in this. You will get the opportunity to collaborate in national and international research environments. In your daily work, you will work closely with Danish and international colleagues in a multidisciplinary environment. We anticipate you will be an engaged part of the research and teaching environment, able to collaborate and build relationships, and contribute positively to the social working environment. We do not expect you to speak/write Danish when you arrive, but we expect you to learn.

Your profile

You have a Ph.D. in Electrical and Computer Engineering (or a similar area) related to Computer Vision and Artificial Intelligence, and demonstrate solid research at a high international level.

We particularly welcome candidates with expertise in Computer Vision and Artificial Intelligence, preferably but not limited to one or more of the following areas:

• Vision-language models
• 3D scene understanding and point cloud processing
• Robotic perception and interaction using vision
• Visual foundation models and large-scale representation learning

You have a clear research direction for the near future, and your research will possibly supplement the current research activities in the section or link to these.

Experience within scientific leadership and the possibility to attract external research funding is preferential.

You are a clear communicator and have experience in supervision and teaching at Bachelor's and Master's degree levels, so it is expected that you also commit to high standards in education. It is positive if you have completed pedagogical teaching and supervision courses, otherwise Aarhus University offers these courses.

You have completed one or more productive stays at a university outside Denmark.

Place of work and area of employment

The place of work is Finlandsgade 22, 8000 Aarhus N, Denmark, and the area of employment is Aarhus University with the Department of Electrical and Computer Engineering.

Application

Your application must be in English and include a Curriculum Vitae that outlines your research activities, R&D experience, a complete publication list, and your teaching, fundraising, and leadership experience. Also, a teaching plan/statement and a research plan (2-3 pages each, including your planned future teaching and research directions) are required. Also, please provide names of references.

State in your application if you are applying as an Assistant Professor or an Associate Professor.

Ensuring gender balance at the Department of Electrical and Computer Engineering is a high priority at Aarhus University, and therefore, we particularly encourage women to apply for this position. No candidate will be given preferential treatment, and all applicants will be assessed on the basis of their qualifications for the position in question.

Contact information

For further information, please contact Professor (docent) Henrik Karstoft, hka@ece.au.dk, +4541893270.

Deadline

Applications must be received no later than 25 September 2025.

Technical Sciences Tenure Track

Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance-based advancement to a tenured Associate Professorship.

The aim of the Technical Sciences Tenure Track Programme is to: attract outstanding talented individuals that are competitive at an international level; to promote the early development of independent research success early in the career of scientists; to create transparency in the academic career path.

As part of the tenure track position, the candidate is offered: access to research infrastructure; capability development, including postgraduate teacher training; a mentoring programme; support to develop scientific networks and to secure interdisciplinary research at the highest level.

As part of the Aarhus University Tenure Track Programme, the University carries out a mid-way evaluation to review the progress of the tenure track candidate after three years, according to the same criteria used in the final tenure review. The final tenure review is conducted after five and a half years. If the review is positive, the candidate will be offered a tenured position as Associate Professor at Aarhus University.

Please refer to the tenure track guidelines for the tenure review criteria and for the tenure review process.