Interesting job for data science students or applicants with similar experience. We are currently seeking 1-2 skilled part-time programmers who can work independently and in a structured manner as part of the QIM Center (https://qim.dk/
).
The job
The primary responsibilities will involve organizing data and code, data processing of 3D images, and programming related to developing and using new and existing image processing tools maintained by the team.
You will be part of a small team of student programmers and a wider team of researchers working with computational 3D imaging in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools for processing, visualizing and analyzing 3D imaging data, sometimes using machine learning for better and faster analysis. To support this work, we have initiated the QUAITOM project – The Infrastructure for QUantitative AI-based TOMography. The purpose of QUAITOM is to establish a data science infrastructure for AI-based quantitative analysis of X-ray and neutron computed tomography (CT). We call this infrastructure the QIM Platform. By applying novel concepts and a user-friendly interface, advanced computational imaging will for the first time be made available for the very large and scientifically diverse user community within CT imaging.
As a student programmer on the team, you will be part of practical work creating code and data, applying tools to analyze 3D imaging data, and help make tools available and easy to use on the QIM platform. Depending upon your skills, you will also be involved in various parts of user collaborations.
Our expectations of you
We are looking for 1-2 part-time programmers with experience handling volumetric data, programming in Python, and navigating on a High-Performance Computing cluster. Perhaps you are a data science student, but not necessarily. It is expected that you are comfortable working both on your own and as part of a team, and most importantly, you should be well-organized with an eye for detail.
The preferred skills are:
- Experience with programming in Python
- Experience with image processing and analysis
- Experience with machine learning including deep learning
Primary activities the position will include are:
- Develop and structure code and software for 3D image processing
- Create tutorials for 3D image processing
- Process datasets using deep learning methods
- Organize and clean datasets
- Engage with users of the tools developed to support and gain feedback
We expect you to be good at communicating and a team-oriented person with good problem-solving skills, who is happy to share ideas with the group and to implement ideas from others. You are keen to take part in developing the foundation for the next generation of computational imaging data processing techniques and the scientific work it will facilitate.
We encourage you to apply even if you do not meet every requirement listed. We value potential, motivation, and the ability to learn.
What we offer in return
We offer an interesting and challenging job with a high degree of freedom regarding when and where the tasks are conducted. You will be a part of our research group in an international environment and will have the opportunity to learn new tools and be part of the group’s research activities.
Salary and appointment terms
Salary and employment terms in accordance with the OAO-S Joint Agreement and the organization agreement for IT employees (Prosa) in the service of the state.
The working hours will be minimum 9 hours per week with the possibility of up to 15. Start date will be according to mutual agreement. The position will run until 31 Dec 2027.
Application and contact
Please submit your online application no later than 4 June 2026 (23:59 Danish time)
.Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates.
If you would like additional information about the position, please contact Senior Research Software Specialist Felipe Matos (fima@dtu.dk) or Associate Professor Jakob Sauer Jørgensen (jakj@dtu.dk).
Applications 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. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
DTU Compute
DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at
www.compute.dtu.dk
.
DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.
