Part-time assistant programmers (1-2) – DTU Compute

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. The primary responsibilities will involve reconstruction and analysis of 3D volumetric data, organizing data and code, and programming related to image processing.

The job

You will be part of a team of researchers working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling 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 tomography (μCT). We call this infrastructure the QIM Platform. By applying novel concepts and a user-friendly interface, the power of machine learning will for the first time be made available for the very large and scientifically diverse user community within μCT imaging.

As an assistant programmer on the team, you will be part of the practical work with creating the datasets as well as the work with curating the data and setting up the platform. Depending upon your skills you will also be involved in various parts of user collaborations.

Our expectations of you

We are looking for part-time programmers with experience in handling volumetric data, programming in Python, and navigation on a High-Performance Computing cluster. Perhaps you are a data science student, but not necessarily. It is expected that you are comfortable with working on your own and most importantly, you should be well-organized with an eye for detail. 

The preferred skills are:  

• Experience with programming in Python 
• Experience with tomographic reconstruction, image processing and analysis 
• Experience with machine learning including deep learning 

The primary activities of the position will be to:  

• Reconstruct and process 3D imaging data, e.g. from the 3D Imaging Center
• Organize and clean datasets
• Structure and write code for tools related to image analysis and tomographic reconstruction
• Create tutorials for 3D image analysis and tomographic reconstruction
• Process datasets using deep learning methods

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 deep learning image analysis techniques and the scientific work it will facilitate.   

What we offer in return

We offer an interesting and challenging part-time job with a high degree of freedom regarding when and where the tasks are conducted. You will be a part of our small 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 or other relevant agreement. 

The working hours will be minimum 9 hours pr. week with the possibility of up to 15.

Application and contact

Please submit your online application no later than 9 September 2024 (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 Professor, Anders Bjorholm Dahl at +45 5189 6913, or Senior Executive Officer, Rebecca Engberg at +45 2112 3466.

Applications received after the deadline will not be considered.

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

DTU Compute

DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.