Positions

Experimental Radiation Oncology is a group that focuses on inverse problems in general and applications in computational (medical/bio) physics in particular. 

Hence, we typically recruit students from computer science, physics or mathematics for PhD or PostDoc positions. 

We are an innovative and international group focusing on challenging problems, and offer full positions and an excellent working environment. 

You will do your thesis either in the Faculty of Physics and Astronomy (for those with a bachelor in physics) or in the Faculty of Mathematics and Computer Science (with a background in mathematics or computer science). 

If you are interested in one of the positions described below or other positions, we have not yet advertised, please do not hesitate to contact: 

Juergen Hesser (head of the group)

Juergen.Hesser@MedMa.Uni-Heidelberg.De

 



Currently, we offer the following PhD or PostDoc positions: 


DFG project: Brachysimulator (2 positions)

The project aims at developing a simulation-based planning system for brachytherapy which uses many elements found in computer games as well. 

Brachytherapy is a treatment method where radioactive sources (called seeds) are placed inside the tumor for irradiation. This local therapy has often much less complications due to reduced dose on the organs at risk. 

However, for some areas access over needles to place the seeds is difficult. Hence, we develop a simulation system with soft-tissue simulation, ultrasound simulation, and haptic interaction over the needle to tackle this problem. In addition, we will use a compressed-sensing inspired inverse treatment approach for real-time solution of the planning problem. 


DFG project: Ultrasound Tomography (1 position)

In a cooperation with the Karlsruhe Institute of Technology (KIT) we are planning to develop a new class of reconstruction techniques for ultrasound tomography. 

Our part is the fast solution of the parameter estimation problem, which is local optimization. In this project, new optimization strategies variants of techniques that have found widespread use in standard tomography problems will be investigated and further developed.