Post-doctoral fellow opportunity: Monte Carlo simulation in medicine, UCSF, California, USA

Job announcement

University of California San Francisco (UCSF) has an immediate opening for a postdoctoral fellow to work with the UCSF-SLAC-MGH TOPAS team on a recently awarded NIH grant to extend the highly successful TOPAS system for Monte Carlo simulation of proton therapy to radiological imaging and conventional radiotherapy. The successful candidate will take responsibility for specific projects within the grant as well as contribute to the other on-going projects through informal participation and regularly scheduled group meetings.

Required qualifications:

  • PhD in physics, medical physics or closely related discipline.
  • Expert programmer (C++, UNIX) and algorithm developer.
  • Working knowledge of Monte Carlo simulation in medicine.
  • Peer-reviewed publications that contribute to the development and application of the Monte Carlo method in medical physics.

Preferred qualifications:

  • Knowledge of clinical radiotherapy physics.
  • Proficient in development of Geant4 and TOPAS.
  • Direct experience in development and application of Monte Carlo simulation in radiotherapy, especially regression testing, benchmarking, and simulation of radiotherapy treatment heads, imaging devices, patients and detectors.
  • Familiarity with radiotherapy treatment planning systems, dicomRT, deformable images, CAD and GUI development.
  • Experience collaborating with interdisciplinary teams.

The Department of Radiation Oncology at UCSF has a wide variety of equipment for radiotherapy:  4 Truebeams, a Versa, Artiste, Oncor, TomoHD, Cyberknife, and Gammaknife, 2 Mobetrons and Intrabeam for IORT, 2 HDR units and hyperthermia capabilities. A network of computers dedicated to Monte Carlo simulation includes 6 multi-processor MacPro’s with ample RAM and disk space as well as an FPGA-compatible PC. Monte Carlo systems include Geant4, TOPAS, TOPAS-nBio, and EGSnrc. The department has the Eclipse, RayStation and Precision commercial treatment planning systems capable of dose calculation using the Monte Carlo method.

Screening of applicants will begin immediately and will continue until a suitable applicant is found. Salary and rank will be commensurate with the applicants experience and training. The successful candidates will join a group of physics graduate students and postdocs working on research projects in radiotherapy, hyperthermia, and radiobiology, with 4 medical physics residents. The clinical and research facilities are combined in an environment that supports both formal and informal exchanges to keep research clinically relevant and treatment on the cutting edge. UCSF seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. UCSF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

Please email Bruce Faddegon with a letter describing how your background fits with this position and attach your CV, to

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