About this role
Debnath Lab Research Assistant I – Computational Medical Physics and Monte Carlo Modeling
The Debnath lab works on developing technologies for addressing key challenges presented by radiation therapy for cancer treatment. This research aims to achieve a paradigm shift in modern radiation therapy, ensuring quality treatment, improving the understanding of the effects of ionizing radiation on tissues, and pioneering high-resolution medical imaging technologies, thereby contributing to the advancement of early-stage cancer treatment.
The Research Assistant I in the Debnath Lab participates in full-time, mentored research under the direction of the principal investigator.
Duties & Responsibilities
- Assist with computational research involving radiation transport, Monte Carlo simulations, and radiation detector modeling for medical physics applications.
- Support the development, implementation, and evaluation of computational models for radiation dosimetry, detector performance, and radiation interactions with matter.
- Perform computational simulations, process simulation outputs, and analyze results using scientific programming and data visualization tools.
- Assist with comparisons between computational predictions and experimental measurements, including model validation and performance assessment.
- Maintain simulation records, computational datasets, and technical documentation, and contribute to research reports, presentations, and scientific manuscripts.
- Other duties as assigned.
Minimum Education and/or Work Experience Bachelor’s degree in related field and zero-one year of related experience.
Qualifications
- Bachelor’s degree in Physics, Applied Physics, Medical Physics, Engineering (Biomedical, Nuclear, Electrical, or related discipline), Computer Science, or a closely related quantitative field; or equivalent training acquired through education or relevant work experience, consistent with university requirements.
- Preferred Qualifications
- Master’s degree in related field preferred
- One to two years of relevant research or professional experience.
Qualifications
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Basic understanding of physics, numerical methods, computational modeling, or radiation interactions with matter.
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Familiarity with scientific programming or data analysis using Python, MATLAB, C++, or similar tools.
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Experience with Monte Carlo simulation packages such as Geant4, GATE, TOPAS, or MCNP is preferred but not required.
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Familiarity with Linux-based computing environments, scientific computing workflows, or high-performance computing is desirable.
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Strong quantitative, analytical, problem-solving, and communication skills, with attention to computational accuracy and reproducibility.
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Ability to learn new computational tools, work independently after appropriate training, and collaborate effectively with a multidisciplinary research team.
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Computer Skills
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Proficiency in Microsoft Office programs and willingness to learn lab related software.
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Supervisory Responsibilities
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No
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Required operation of university owned vehicles
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No
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Does this position require direct animal or patient contact?
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No
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Physical Demands
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None
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Working Conditions
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None
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Open Date
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10/27/2026
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Position Maximum Salary or Hourly Rate
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$22.00/hr
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Position Minimum Salary or Hourly Rate
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$18.00/hr