211-0512/23-2E Associate Professor of Medical Image Analysis

Updated: 5 months ago
Job Type: FullTime
Deadline: 29 May 2023

10 May 2023
Job Information

University of Copenhagen

Department of Computer Science
Research Field

Communication sciences » Other
Researcher Profile

Recognised Researcher (R2)

Application Deadline

29 May 2023 - 12:00 (Europe/Copenhagen)
Type of Contract

Job Status

Offer Starting Date

1 Nov 2023
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

Associate professor of Medical Image Analysis
Department of Computer Science
Faculty of Science

University of Copenhagen

We are looking for an outstanding, experienced researcher with an innovative mindset and intellectual curiosity to strengthen and complement the research profile of the department's Section for Image Analysis, Mathematical Modelling and Geometry (IMAGE). The section's research is concerned with all aspects of image analysis, including bioimaging, medical image analysis, computer vision, machine learning, their mathematical foundation, and their application. Furthermore, the section does research within biomedical simulation, soft robotics, and bioinformatics.

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is consistently ranked as one of the best universities in Europe. The department of Computer Science offers a world-class, friendly, and thriving international research and working environment with opportunities to build up internationally competitive research groups. The University of Copenhagen offers working conditions supporting a healthy work-life balance, and Denmark and Copenhagen is internationally well-known for its family-friendly atmosphere.

It is a high priority at the Department of Computer Science to foster a research environment of highest excellence allowing people from diverse backgrounds to thrive. Applicants are expected to have a strong publication record in the general area of medical image analysis, including research publications at premier venues within the area such as MICCAI, Medical Physics, IEEE Transactions on Medical Imaging, Information Processing in Medical Imaging: (IPMI), Conference on Neural Information Processing Systems (NeuIPS). All areas of applications will be considered. Research areas of special interest include:

  • Foundational and applied research on medical image segmentation, registration, and shape modelling.
  • Analysis of advanced image data types such as multimodal images (e.g. combined MR/PET) and imaging of complex structures (e.g. airway CT).
  • Focus on strong clinical applications with high societal impact, such a radiation therapy, lung, and brain diseases.

Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.

The position can imply teaching in topics areas such as:

  • Basic and advanced methods in medical image analysis and related areas.
  • Learning techniques for imaging in general.
  • Applied programming in high-level languages such as C++, Python or similar.
  • Further or continued education.

Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research fellows and other staff. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department.

Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. Managerial and out-reach qualifications of applicants including ability to attract external funding will also be considered.

Six overall criteria apply for associate professor appointments at the University of Copenhagen. The six criteria (research, teaching, societal impact, organisational contribution, external funding and leadership) are considered a framework for an overall assessment of the candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement. Please read more at https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/dokumenter-til-meritering/5b_Criteria_for_recognising_merit_-Associate_professors.pdf .

The Section for Image Analysis, Mathematical Modelling and Geometry (IMAGE) has strong connections to Danish hospitals. We are member of several centers such as the Pioneer center, the SCIENCE AI center, Danish and Euro Bioimaging, and has strong ties to the nearby MAXIV synchrotron and the European Spallation Source all of which offers a multitude of funding possibilities and collaborations. The IMAGE section attracts student with strong programming skills and good mathematical mindsets from, e.g., computer science, bioinformatics, physics. Further, the IMAGE section is responsible for several specialized course in area relevant to medical image analysis, where there will be opportunities for integrating own research interests into the teaching and recruit students.

Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Head of Department, Professor Jakob Grue Simonsen (simonsen@di.ku.dk ) or Head of IMAGE section, Professor Kenny Erleben (kenny@di.ku.dk )..

The position is open from 1 November 2023 or as soon as possible thereafter. The position is time limited for 4 years.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae including information about external funding
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Description and documentation of teaching experience and qualifications according to university guidelines
  • Complete publication list
  • Separate reprints of 5 particularly relevant papers

The deadline for applications is Monday 29 May 2023, 23:59 GMT +2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ .

Interviews/trial lectures will be held on 22 September 2023

Please refer to the following no. in future communication in this case: 211-0512/23-2E

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Research Field
Computer science » Other
Education Level
PhD or equivalent

Additional Information
Work Location(s)
Number of offers available
University of Copenhagen

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