Expires on: 02/06/2024
Description
There is a vacancy for a PhD Research Fellow in medical physics at the Department of Physics and Technology. The position is for a fixed-term period of 3 years with the possibility of a 4th year with compulsory other work (e.g. teaching duties at the Department). The position is financed by the European Innovation Council (EIC) through the NOVO project – next generation imaging for real-time dose verification enabling adaptive proton therapy.
The NOVO project will address a fundamental issue in proton therapy of cancer, namely the lack of real-time dose verification (RDV) that significantly limits the potential of proton therapy due to uncertainties in the precise delivery of the prescribed dose. In the NOVO project, we will develop the first proof-of-concept of a scintillator-based RDV technology adaptable to any proton therapy treatment. The PhD position will be part of a strong research community within proton therapy in Bergen with tight collaboration with international partners. The tasks for the PhD position will include in silico predictions of the NOVO detector’s signal in clinical settings by means of particle transport simulations, and further analysis of this signal for the purpose of range and dose reconstructing and further developing a trigger system to detect deviations in range/dose during treatment based on the NOVO signal. Furthermore, explorations into applications of prompt gamma spectroscopy with the NOVO detector will be a part of the PhD project.
Qualifications
- Applicants must hold a master’s degree or equivalent education in physics or must have submitted his/her master’s thesis for assessment prior to the application deadline. It is a condition of employment that the master’s degree has been awarded.
- Experience from radiation physics and proton therapy is a requirement.
- It is an advantage with experience from
- Monte Carlo simulations, proton therapy dose planning and radiotherapy in general
- programming
- detector development and gamma spectroscopy
- Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills.
- Applicants must be proficient in both written and oral English.