Part-time assistant programmer for 3D Cardiovascular Research

We are looking for a skilled a part-time assistant programmer for a part-time position.

The job

You will be part of a team of researchers working with 3D medical image analysis in collaboration with Rigshospitalet. The team's activities lie in creating novel 3D medical image analysis algorithms for the analysis of cardiovascular risk factors. 

As a part-time assistant programmer on the team, you will be part of the practical work with creating the software infrastructure, curating the data and developing new algorithms. 

The research and software are based on the novel development in geometric deep learning, deep metric learning and deep reinforcement leaning.

In the job, your primary responsibilities will include: 

• Data preparation and setup
• Data curation
• Software development
• 3D Image analysis
• Developing and training deep learning based algorithms for 3D data

Our expectations of you

We expect you to have extensive experience with working with 3D medical images and programming in Python. We also expect you to have extensive practical experience in using, modifying and testing advanced deep learning and deep reinforcement learning frameworks for 3D medical image segmentations and annotation.

You should have strong skills in:

• Programming in Python
• Image processing and analysis
• Machine learning including deep learning
• 3D medical image segmentation
• Computational fluid dynamics
• Deep reinforcement learning for 3D medical image annotation.
• A bachelor degree in biomedical engineering

Furthermore, we expect you to be good a communicator and a team-oriented person with good problem-solving skills. You are enthusiastic about working in a medical research environment and 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 job in an international atmosphere with the focus on research, teaching, innovation and scientific advice for the benefit of the surrounding community. We place emphasis on a high level of professionalism among our staff, so skills development is an integral part of our organization. We offer great flexibility in the position. In the area of technical and natural sciences, DTU is one of the leading research and education institutions in Europe.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). You are employed as an AC bachelor.

The position is a part-time position. Starting date is according to mutual agreement. 

The workplace is DTU Lyngby Campus.

Application and contact

Please submit your online application no later than 8 December :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 Rasmus R. Paulsen on email:  

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
The Department of Applied Mathematics and Computer Science (DTU Compute) is one of the 20 departments at DTU and employs approximately 400 people in total. The study will take place in the Section for Visual Computing, one of the 11 research sections at DTU Compute. The section for Visual Computing employs 12 permanent faculty members and a total number of employees around 45 including PhDs and postdocs. Research in the section concerns image analysis and computer graphics applied to different areas including computer vision, medicine, materials science, and manufacturing. Medical image analysis is a core focus area for the group and central to teaching, project collaboration with external partners, and research. Deep learning is central to this research proposal, and several research projects in the section are based on deep learning for medical image analysis, and most of the employees in the section use deep learning in their research. This makes a strong research environment with extensive knowledge and experience that significantly will support the proposed project. The section has established a close collaboration with the heart center and the center for diagnostic radiology at Rigshospitalet. A deep learning computing setup and office space is established at Rigshospitalet, where students and employees from DTU Compute collaborate with the staff at Rigshospitalet.

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.