Postdocs in 3D Surface Scanning and Evaluation

DTU Compute
Friday 17 Mar 17

Apply for this job

Apply no later than 17 April 2017
Apply for the job at DTU Compute by completing the following form.

Apply online

DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, DTU Compute plays a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavor.

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, nationally and internationally, and, equally important, with industry and organizations. DTU Compute interacts with leading centers and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programs at DTU - both in terms of our scientific disciplines and our didactic innovation.

The Image Analysis & Computer Graphics section group at DTU Compute, in collaboration with DTU Mechanical Engineering, offers a two-year Postdoc position concerning statistical processing of optical 3D surface scans. In particular we are interested in better understanding how to deal with such 3D data as a stochastic observation. This position is part of the Innovation fund Denmark, MADE Digital project, and will as such be done in collaboration with several Danish manufacturing companies. There is as such also a large element of industrial applied research in this position. Example of key challenges to be addressed are: 

  • Develop tools for processing the scanned 3D surfaces, such that they can be used in a statistical analysis. As an example: how to best compare a scanned surface and a CAD model, to determine the quality of a produced and subsequently scanned object.
  • Several geometric processing steps are typically applied to the raw 3D scanned sensor input to achieve a surface estimate. Examples are smoothing and meshing (converting point estimates into a dense surface). An issue is that many of these processes degrade the metrological traceability of the result. This issue will be addressed by investigating how to maintain traceability through these processes.

Responsibilities and tasks
The Postdoc will be expected to 

  • Develop tools for processing the scanned 3D surfaces, such that they can be used in a statistical analysis
  • Do research on how to maintain traceability through various 3D meshing processes.
  • Do teaching alongside the research. It may also involve handling other assignments to a limited extent.

Candidates should have a PhD degree or equivalent. Since the post is part of a large collaboration in is necessary to be able to communicate well orally and in writing, as well as having good collaboration skills. The candidate is expected to have a strong background in: 

  • Image Analysis & Computer Vision
  • Programming
  • Mathematical Modelling

And preferably also experience in one or more of:

  • Optimization & data-fitting.
  • 3D geometry and mesh representations.
  • Building experimental computer-vision setups.
  • Geometric Metrology.

We offer
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.   

Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The position is a 2-year employment.

You will be located at the section for Image Analysis and Computer Vision at DTU Compute, on the Lyngby DTU campus. 

Further information
Further information may be obtained from Henrik Aanæs,

can read more about DTU Compute on     

Application procedure
Please submit your online application no later than 16 April 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications

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 Ph.D. 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 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.