211-2351/22-2M Computer bioimage analyst (academic employee) at the Department of Computer Science

The Department of Computer Science at the Faculty of Science, the University of Copenhagen, is looking for an academic employee, a bioimage analyst, with effect from October 1, 2022, or as soon as possible thereafter. 

We are looking for a bioimage analyst to join the new Image Analysis Core Facility of the Danish BioImaging Infrastructure at the Faculty of Health Sciences and the Department of Computer Science both at the University of Copenhagen.

The Core Facility team (presently a team of 3) will work in close collaboration with nationwide bioimaging facilities and image processing research groups (DIKU, DTU, QIM) to support life scientists and operate custom remote computing solutions to analyze a broad range of bioimaging data.

The successful applicant should have a strong problem-solving mindset, a drive to learn and collaborate, and experience in supporting life scientists in bioimage analysis (ideally within a bioimaging facility). 

The preferred skills are:

  • A background in image processing and computer science (Ph.D. or equivalent)
  • Strong experience in using and scripting bioimage analysis software and libraries (ImageJ, CellProfiler, QuPath, scikit-image, ITK, Napari …)
  • Practice in handling complex multidimensional bioimaging datasets
  • Excellent organizational and communication skills, and the ability to work in interdisciplinary environments.

The primary activities, the position will involve, are

  • Customizing software scripts and automatic image analysis pipelines
  • organizing user training, workshops, and training schools
  • Integrating analysis methods to remote computing environments for reproducible analysis
  • Support, train and educate the users of the Danish bioimaging facilities online and in real life
  • Staying up to date and contributing to relevant bioimage analysis communities.

We offer

  • A job with great independence and variety in the tasks. 
  • A development-oriented and good social environment. 
  • Committed colleagues who place a high value on professional collaboration, and who have an unpretentious, open, and respectful tone. 
  • Good professional and personal development opportunities – such as courses and education. 

Terms of salary and employment

The employment and salary are made in accordance with the Circular on the Collective Agreement concerning academics in the state sector concluded between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).

Employment will be as an academic employee. The salary is based on seniority. Negotiation for salary supplement is possible. The working time is 37 hours per week on average. The working hours are flexible.

Your application

If you find the job interesting, please send an electronic application with an attachment via Jobportalen (click on the link "Apply Now" at the bottom of the post) no later than 14 August 2022. 

The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.

Further questions

Any questions about the position may be directed to Morten Engell-Nørregaard by phone +4535323665. The Faculty of Science at the University of Copenhagen – or SCIENCE – is Denmark's largest science research and education institution with 4,000 employees and 9,700 Bachelor's and Master's students in 12 departments. The Faculty has an annual budget of DKK 3 billion.

Learn more about The Faculty of Science at www.science.ku.dk

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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.

Info

Application deadline: 14-08-2022
Employment start: 01-10-2022
Working hours: Full time
Department/Location: Department of Computer Science