Researcher in 3D Image Analysis

tirsdag 17 sep 19

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Frist 15. oktober 2019
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The Section for Image Analysis and Computer Graphics seeks a researcher in 3D image analysis, which is a permanent entry-level position. In this position you will be part of a research team focusing on advanced quantitative 3D image analysis methods that allow fast and accurate assessment of 3D structures in very large volumetric data acquired at world leading imaging facilities such as the MAX IV synchrotron and similar. Our ambition is to lead this research field and set the standard for obtaining structural information from volumetric images. To obtain this, we need a researcher to join our team of dedicated scientists that develop new methodologies and software tools for 3D image analysis, train researcher from other fields in using such tools, and engage in collaboration projects where advanced structural quantification tools are applied.

You will be part of both the Section for Image Analysis and Computer Graphics and the research center
QIM: The Center for Quantification of Imaging Data from MAX IV. The vision of QIM is to create a new paradigm for analysing image data at large-scale facilities leading to more scientific discoveries with shorter time from experiment to publication than what is current practice.

The Section for Image Analysis and Computer Graphics is part of the Department for Applied Mathematics and Computer Science (DTU Compute). DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science with an engineering focus. DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions. DTU Compute plays a central role in education at all levels of the engineering programmes at DTU – both in terms of our scientific disciplines and our didactic innovation. 

Responsibilities and tasks
Your main responsibilities will be to develop and apply image analysis methods to 3D imaging problems. This will be done in collaboration with scientists from other fields such as materials science and the bio-medical area. Collaboration will be in the form of carrying out analysis for solving specific problems, training other researchers in image analysis, developing teaching material, and developing general purpose analysis tools. 

Research in this position will focus on structural quantification in 3D and involve

  • volumetric image segmentation,
  • image registration,
  • statistical quantification of structures and uncertainty,
  • geometric analysis of 3D structures,
  • AI and machine learning for image analysis,
  • 3D visulaization, etc.
Candidates must hold a PhD degree (or equivalent). Furthermore, the candidate must be experienced in image analysis, preferably with expertise in quantification of 3D structures.  

In the assessment of the candidates, consideration will be given to 
  • Research experience
  • Research vision and potential
  • Societal impact
  • Documented innovation activities, including commercialization and collaboration with industry
  • International experience
  • Internal and external collaboration
  • Communication skills
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.  

The position as a researcher is a permanent entry-level position. After a maximum of 4 years, a researcher can be promoted to a senior researcher position after assessment. More information can be found here: Career paths at DTU

The position is a full-time position starting 1 December 2019 or as soon as possible thereafter.

Further information
Further information may be obtained from Head of Section, Anders Bjorholm Dahl, tel. +45 4525 3907.  

You can read more about DTU Compute at

Application procedure
Please submit your online application no later than 15 October 2019 (local time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: 
  • Application (cover letter)
  • CV
  • Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
  • List of publications
  • H-index, and ORCID (see e.g.
  • Diploma (MSc/PhD)
Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. 

DTU Compute has a total staff of 400 including 100 faculty members and 130 PhD students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.