Assistant professor in Computer Vision for Robotics, SDU Robotics, Odense, Denmark

Application ends: June 3, 2024
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Job Description

SDU Robotics invites applications for assistant professor positions within the research and teaching area of computer vision. The positions are for a 3-year period based in Odense and will be vacant from 1 September 2024 or as soon as possible thereafter.

The application deadline is 3 June 2024 at 23.59 (CET/CEST) 

Research environment
The candidates will be integrated in the section SDU Robotics (, a team of approx. 50 employees, specialized in research and development of robot solutions within the medical, welfare and industrial domain. We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development.

SDU Robotics is involved in a variety of national and European projects and features a strong network of academic and industrial partners. The aim of the group is to solve challenging research problems derived from real-life challenges by implementing novel robot solutions. We participate in implementing the achieved results in real solutions with end users as Danfoss, LEGO and Novo Nordisk.

SDU Robotics is part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 130+ startups and established companies in robotics.

Job description
The main duties and responsibilities include:

  • Research in collaboration with colleagues from SDU Robotics,
  • Participation in ongoing and future research projects,
  • Teaching within robotics and computer vision,
  • Fundraising for and management of research projects.

Profile and requirements
The candidates will participate in SDU Robotics’ comprehensive research and teaching activities. The position requires research experience within computer vision for robotics applications. The candidates must hold a PhD degree in robotics or similar and are hence expected to have most of the following documented qualifications:

  • Single and Multi-view pose estimation for robotics (e.g. bin-picking and table picking),
  • Computer vision methods for handling visual ambiguities or symmetric objects,
  • Training of deep learning models from synthetically rendered images,
  • Integration of computer vision technologies into robotic systems.

Furthermore, the successful candidates are expected to:

  • Have excellent knowledge of English (written and spoken),
  • Be able to work well and communicate expert knowledge in an interdisciplinary team,
  • Have the ability of working independently,
  • Have a strong sense of responsibility,
  • Have experience with teaching and independently supervising project courses, and BSc and MSc thesis projects.

Please visit us on LinkedIn:

Further information about this position is available via e-mail from Associate professor Thorbjørn Mosekjær Iversen

If you experience technical problems, you must contact
Application procedure

Before applying the Faculty expects applicants to read the SDU information on How to apply and Faculty information on How to apply – Academic staff.

The application and all enclosures must be in English and must be in pdf-format: 

  • Motivated personal application,
  • Detailed Curriculum Vitae including personal contact information,
  • Certificates/diplomas (MSc and PhD) – original and in English translation,
  • Information on previous teaching and supervision experience. Please attach as Teaching Portfolio.
  • List of publications and maximum 2 examples of relevant publications.

The application may also include:

  • References (names and e-mails) or Three names and e-mails of researcher, who can provide an informed reference letter at short notice.
    Reference letters.
  • Other relevant qualifications may also be included.
  • Applications received after the deadline or outside the official recruitment portal will neither be considered nor evaluated.

Assessment and selection process

Applications will be assessed by an assessment committee or an expert. Shortlisting may be applied. Only shortlisted candidates will receive a written assessment. Applicants will be informed of their assessment by the faculty. Interviews and tests may be part of the selection process.

Conditions of employment

The assistant professor positions are for a 3-year period and are available per 1 September 2024 or as soon as possible thereafter. Main work location is Odense/Denmark at SDU.

Employment as an assistant professor requires scientific qualifications at PhD level. Employment as an assistant professor is a temporary position and will cease without further notice at the end of the period.

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Further information about salary and and taxation:


The application deadline is 3 June 2024 at 23.59 (CET/CEST) 



  • All files must be in English.
  • All files must be in pdf-format no more than 10 MB per file.
  • Documents should not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.
    The University of Southern Denmark wishes to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.

Further information for international applicants about entering and working in Denmark.

Further information about The Faculty of Engineering.

SDU creates value for and with society and shapes the future through high quality, talented people and outstanding environments. The University of Southern Denmark is a world-class university deeply rooted the the Region of Southern Denmark. Since it’s founding, SDU has been driven by an ambition to promote research results that develop society.
The major challenges of the 21st century are complex and multifaceted; sustainable change and solutions require new – often interdisciplinary – research-based knowledge, and the University of Southern Denmark is an indispensable stakeholder in the transition process.
Value, quality, talented people and environmental excellence are the core of the University of Southern Denmark’s strategic initiatives.