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Semester assignments/Bachelor and Master Theses at the Center for Proton Therapy at PSI
The Center for Proton Therapy (CPT) at PSI is the world leader in the development and clinical implementation of pencil beam scanning proton therapy. We are looking for talented and motivated students with a background in physics, engineering and computer science to join our research program.
The Centre for Proton Therapy (CPT) at PSI is a world-leading centre for cancer therapy using protons. We have treated more than 7500 patients, thanks to a successful collaboration between medical doctors, radiographers, and physicists. Our centre consists of four operational treatment rooms, one with a fixed beamline for treating eye tumours and the other three equipped with a rotating gantry to treat tumours in different body sites. In addition to the ongoing clinical programme, we also have an extensive research programme to establish new technology and extend the number of tumours treated.
We are looking for talented and motivated students with a **background in physics, engineering, and computer science** to contribute to our research program.
We currently have the following openings for projects starting from **Jan 2025**:
A: bachelor project (3-4 weeks)
B: semester project (master-level) (3-4 weeks)
B+: semester project (master-level) (14+ weeks)
C: master thesis (6 months)
- (B+/C) Dose Rates and LET-Rates Calculation and their Influence on Predicted Adverse Effects
- (A/B/B+/C) Analysis of quantitative biomarkers from longitudinal MR imaging of cancer patients
- (C) Dosimetric advantage of online adaptive proton therapy in lung patients
- (C) Evaluating the Clinical Impact of Online Adaptive Proton Therapy for Abdominal Cancers
- (C) Interactive Dose modification as a complement approach to fine-tune automated planning
- (C) Optimizing Patient Access: Feasibility of a Simulation-Free Proton Therapy Workflow Using the Online Adaptive Workflow
- (A/B/B+/C) Planning comparison RayOcular vs EyePlan + Beam modeling for OPTIS2 in RayOcular
- (A/B/B+/C) Treatment planning comparison in RayStation between G2 and G3.
- (A/B/B+/C) Accuracy of BEV positioning
- (B+/C) Predicting the impact of anatomical changes on treatment outcome for an individual patient
- (B) Expansion of contour quality assurance tool for adaptive radiotherapy towards the abdominal region
- (A/B) Enhancing contour quality assurance for synthetic CT in adaptive proton therapy
- (B+/C) Investigating the impact of multiple uncertainties on treatment outcome in proton therapy for the abdominal treatment site
- (A/B/B+) Magnetic field modelling for MRI-guided proton therapy
- (A/B/B+) Uncertainty Quantification in Proton Dose Calculations
- (A/B/B+/C) Neural Network-Based Monte Carlo Level Dose Prediction for Proton Therapy in Lung
- (A/B/B+/C) Low-Dose CT Denoising for Adapted Proton Therapy Using Diffusion Schrödinger Bridge Models
- (A/B/B+) Re-engineering of an O2 SMC
The Centre for Proton Therapy (CPT) at PSI is a world-leading centre for cancer therapy using protons. We have treated more than 7500 patients, thanks to a successful collaboration between medical doctors, radiographers, and physicists. Our centre consists of four operational treatment rooms, one with a fixed beamline for treating eye tumours and the other three equipped with a rotating gantry to treat tumours in different body sites. In addition to the ongoing clinical programme, we also have an extensive research programme to establish new technology and extend the number of tumours treated.
We are looking for talented and motivated students with a **background in physics, engineering, and computer science** to contribute to our research program.
We currently have the following openings for projects starting from **Jan 2025**:
A: bachelor project (3-4 weeks)
B: semester project (master-level) (3-4 weeks)
B+: semester project (master-level) (14+ weeks)
C: master thesis (6 months)
- (B+/C) Dose Rates and LET-Rates Calculation and their Influence on Predicted Adverse Effects
- (A/B/B+/C) Analysis of quantitative biomarkers from longitudinal MR imaging of cancer patients
- (C) Dosimetric advantage of online adaptive proton therapy in lung patients
- (C) Evaluating the Clinical Impact of Online Adaptive Proton Therapy for Abdominal Cancers
- (C) Interactive Dose modification as a complement approach to fine-tune automated planning
- (C) Optimizing Patient Access: Feasibility of a Simulation-Free Proton Therapy Workflow Using the Online Adaptive Workflow
- (A/B/B+/C) Planning comparison RayOcular vs EyePlan + Beam modeling for OPTIS2 in RayOcular
- (A/B/B+/C) Treatment planning comparison in RayStation between G2 and G3.
- (A/B/B+/C) Accuracy of BEV positioning
- (B+/C) Predicting the impact of anatomical changes on treatment outcome for an individual patient
- (B) Expansion of contour quality assurance tool for adaptive radiotherapy towards the abdominal region
- (A/B) Enhancing contour quality assurance for synthetic CT in adaptive proton therapy
- (B+/C) Investigating the impact of multiple uncertainties on treatment outcome in proton therapy for the abdominal treatment site
- (A/B/B+) Magnetic field modelling for MRI-guided proton therapy
- (A/B/B+) Uncertainty Quantification in Proton Dose Calculations
- (A/B/B+/C) Neural Network-Based Monte Carlo Level Dose Prediction for Proton Therapy in Lung
- (A/B/B+/C) Low-Dose CT Denoising for Adapted Proton Therapy Using Diffusion Schrödinger Bridge Models
- (A/B/B+) Re-engineering of an O2 SMC
The student will get an insight into the hot research topics of proton therapy. She/he will be supervised by staff members (physicists, dosimetrists, engineers, etc) and/or doctoral students, depending on the project. Prerequisites and actual goals of each project are set by the CPT supervisor and agreed upon with the student before starting the project.
For simulation/computational projects, the student will develop the necessary computing skills to complete the project; this might include learning new frameworks and computing languages. Tools will be developed together with staff members which will then take care of implementing them, if appropriate, in our clinical facility.
For experimental projects, the student will learn the basic elements of a proton therapy facility and join measurements directed and performed by staff members. The analysis will be performed with appropriate tools (such as Matlab) and the student will deepen his knowledge of statistics.
All projects will be considered complete only after a write-up of the documentation (in form of a report or a thesis) and a presentation of the project in an internal meeting with CPT members. This will improve the scientific writing and presentation skills of the student.
The student will get an insight into the hot research topics of proton therapy. She/he will be supervised by staff members (physicists, dosimetrists, engineers, etc) and/or doctoral students, depending on the project. Prerequisites and actual goals of each project are set by the CPT supervisor and agreed upon with the student before starting the project.
For simulation/computational projects, the student will develop the necessary computing skills to complete the project; this might include learning new frameworks and computing languages. Tools will be developed together with staff members which will then take care of implementing them, if appropriate, in our clinical facility.
For experimental projects, the student will learn the basic elements of a proton therapy facility and join measurements directed and performed by staff members. The analysis will be performed with appropriate tools (such as Matlab) and the student will deepen his knowledge of statistics.
All projects will be considered complete only after a write-up of the documentation (in form of a report or a thesis) and a presentation of the project in an internal meeting with CPT members. This will improve the scientific writing and presentation skills of the student.
For general inquiries, or for a specific question about our projects, please contact Dr. Ye Zhang (ye.zhang@psi.ch). We will put you in contact with the project supervisor and take care of the administration.
We look forward to hearing from you!
For general inquiries, or for a specific question about our projects, please contact Dr. Ye Zhang (ye.zhang@psi.ch). We will put you in contact with the project supervisor and take care of the administration. We look forward to hearing from you!