About the Position

This position is part of an SNF-funded project titled “Faraday Cup Reference Dosimetry in Proton Therapy Traceable to a Primary Standard Laboratory.” The research will focus on using advanced Monte Carlo (MC) simulations to enhance the precision of proton beam dosimetry, addressing key challenges in dose measurement, calibration of Faraday Cups, and beam quality correction factors. This is a unique opportunity to work at the forefront of radiation physics, proton therapy, and computational modeling, contributing to next-generation techniques for cancer treatment.

Your Responsibilities

As a PhD student, you will:

• Develop Monte Carlo simulations to model proton beam delivery systems, including the nozzle, beam properties, and spot parameters.
• Simulate the efficiency of charge collection by Faraday Cups under different beam energies and operational configurations.
• Incorporate electric and magnetic field effects to improve precision in charge collection modeling.
• Perform sensitivity analyses to identify critical factors influencing Faraday Cup efficiency and their impact on dosimetric accuracy.
• Cross-validate Monte Carlo simulations using multiple codes (e.g., TOPAS, PENH, FLUKA) to ensure robustness and consistency.
• Simulate dose deposition for calorimetry in graphite and water to refine calibration methods.
• Collaborate with experimentalists to integrate simulation findings with measured data from the PSI Faraday Cup and reference proton beams.
• Contribute to determining beam quality correction factors for ionization chambers using Faraday Cup-based dosimetry.
• Participate in the preparation of scientific publications and presentations at international conferences.
• Work closely with a multidisciplinary team, developing protocols and methodologies for accurate reference dosimetry in proton therapy.

Eligibility Requirements

To be considered, candidates should have:

• A Master's degree in Physics, Biomedical Engineering, or a related discipline.
• Experience in Monte Carlo simulations and good programming skills (Python, C++, or similar) are advantageous.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills in English.

What We Offer

• State-of-the-Art Research Environment:
  • Be part of PSI's Center for Proton Therapy, a world-leading facility in advanced cancer treatment.
  • Collaborate with experts in dosimetry, radiation physics, and computational simulations.
• PhD Enrollment at ETH Zurich:
  • You will earn your PhD from one of Europe’s top-ranked technical universities.
• Training and Development:
  • Systematic training on the job, tailored to build expertise in Monte Carlo simulations and advanced dosimetry techniques.
• Modern Work-Life Balance:
  • PSI supports flexible working conditions and offers on-site infrastructure for work and family needs.
• Networking Opportunities:
  • Present your findings at leading international conferences and collaborate with top researchers worldwide.

Application Process

To apply, please submit the following documents online through the PSI application portal by January 31, 2025:

• Curriculum Vitae (CV)
• A motivation letter outlining your research interests and suitability for the position.
• Academic transcripts for relevant degrees.
• Contact details for at least two referees.

Note: Applications must be submitted online. Incomplete or email submissions will not be considered.