AI & Computer Vision Forsker - Aalborg Universitet
Aalborg Universitet søger en Assistant Professor in Computer Vision and AI til en treårig stilling fra 1. november 2026. Kandidaten skal drive forskning inden for computer vision og kunstig intelligens med egen forskningsagenda og publicere i internationale tidsskrifter. Undervisning og vejledning på bachelor- og masterniveau er centrale opgaver. Krævet er solid erfaring med machine learning, deep learning og Python, kendskab til PyTorch og OpenCV samt erfaring med problembaseret læring. Ansøgningsfrist: 1. september 2026.
Adjunkt stilling ved Aalborg Universitet, Region Nordjylland
- Aalborg, Region Nordjylland
- Fuldtid
- Ordinaert
- 1 ledig stilling
- Ansøgningsfrist: 1. september 2026
- Oprettet: 4. august 2026
Beskrivelse af jobtilbuddet for Adjunkt
At the Department of Architecture, Design and Media Technology, The Faculty of IT and Design, a full time, three year fixed term position as assistant professor is available from 1 November 2026 to 31 October 2029.
Your work tasks
Your primary task will be to conduct research within computer vision and artificial intelligence. The position is not tied to a specific project, which gives you the opportunity to define and develop your own research agenda. Within the broad area of computer vision and artificial intelligence, you are expected to propose a compelling research direction, preferably with synergies to existing activities in the lab, and to publish your results in relevant international venues. Over the course of the appointment, you are expected to increasingly engage in external funding activities, for example by developing project ideas, preparing applications and, when relevant, contributing to project coordination.
Teaching and supervision are central parts of the position. You will teach and supervise across several of our programmes, including Medialogy, Robotics, Artificial Intelligence Engineering, and Artificial Intelligence, Vision and Sound. Your teaching will span courses from bachelor to master level and will typically cover topics such as machine learning, deep learning, computer vision and programming. You will supervise student projects and theses at both bachelor and master level, and co-supervision of PhD students can become part of your role as your research activities develop.
Your competencies
Methodologically, you are comfortable working with modern machine learning and deep learning tools. You have solid experience with Python development and contemporary deep learning frameworks such as PyTorch, as well as practical experience with OpenCV or comparable tools for computer vision. You have a good command of classical computer vision concepts and methods and can combine these with data-driven approaches when relevant. Experience with machine learning operations, such as model deployment, experiment tracking or scalable training infrastructures, will be considered an advantage, as it can strengthen the practical impact and robustness of your research.
In terms of teaching, you are familiar with or ready to work within Aalborg University’s problem-based learning tradition. Experience with problem-based learning and group supervision is a requirement, since much of our teaching is organised around student projects that integrate theory and practice. You should be able to support student groups in structuring projects, formulating research questions and presenting results in a clear and reflective way. Prior university teaching experience is an advantage, but strong documented potential for teaching and supervision is also valued. Fluency in English is required for both teaching and academic communication. There are no additional formal requirements beyond a relevant PhD degree; however, you are expected to engage actively in further development of your teaching competences during the employment, for example through participation in the University Pedagogy Programme.
Who we are
The lab currently consists of roughly fifteen PhD students, ten postdoctoral researchers and a group of more senior academics. We are a mix of Danish and international colleagues and have a friendly, informal atmosphere where people know each other and take an interest in one another’s work and well-being. We care about high quality in research and teaching, but we care equally about creating a workplace where it is enjoyable and sustainable to spend your working life. Social activities, shared lab meetings and informal discussions are natural parts of our week.
Qualification requirements
- Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
- Curriculum Vitae (CV)
- Diplomas (master’s degree diploma and PhD diploma)
- List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications.
- Documentation of teaching qualifications. Please see guidelines for teaching portfolio at The Technical Faculty of IT and Design.
- Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
- Additional qualifications in relation to the position
- References/recommendations
You can read more about the requirements for your application here.
The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University’s website.
Do you have any questions?
The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.
Salary and terms of employment
Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish). There is a mutual probationary period of 3 months for the position.
Aalborg University
Denne stilling er publiceret af Aalborg Universitet via jobnet.dk


