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Boston, MA
2026-10-05
Harvard Medical School and Massachusetts General Hospital
English
North America
Student Research Intern – Quantum Computing for Medical Imaging
Role Description
We are seeking highly motivated
**undergraduate/graduate students**
for a temporary research internship opportunity within our team at
**Harvard Medical School**
and
**Massachusetts General Hospital (MGH)**
.
The project is focused on advancing computational methods for medical imaging and exploring emerging hybrid quantum-classical computing approaches for healthcare applications. Interns will have the opportunity to work at the intersection of
**quantum computing, computational imaging, medical physics, artificial intelligence, and biomedical data science**
, contributing to research that may help shape the future of PET/CT imaging and related technologies.
Expected Responsibilities
* Assist in the development and evaluation of computational algorithms for large-scale medical imaging applications.
* Contribute to research involving hybrid quantum-classical computing frameworks.
* Implement, optimize, and benchmark algorithms using modern scientific computing tools.
* Support simulation studies, image analysis, and quantitative performance evaluation.
* Work with high-performance computing resources, GPU-accelerated computing environments, and emerging quantum computing platforms.
* Participate in research discussions, software development, manuscript preparation, and presentation of scientific results.
Minimum Qualifications
* Current undergraduate or graduate student in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Applied Mathematics, Data Science, Medical Physics, or a related field.
* Proficiency in
**Python and MATLAB**
programming.
* Familiarity with scientific computing, numerical methods, and data analysis.
* Strong analytical, mathematical, and problem-solving skills.
* Ability to work independently and collaboratively within an interdisciplinary research team.
* Strong written and verbal communication skills.
Preferred Qualifications
* Experience with medical imaging, image processing, signal processing, computational physics, or scientific computing.
* Experience with machine learning, optimization algorithms, or scientific software development.
* Familiarity with GPU computing, CUDA, parallel computing, or high-performance computing environments.
* Exposure to quantum computing concepts and/or frameworks such as Qiskit, CUDA-Q, PennyLane, Cirq, or related platforms.
* Previous research experience and interest in contributing to scientific publications and conference presentations.
* Interest in translational healthcare technologies and next-generation medical imaging systems.
The position is open to
**undergraduate students**
, though
**graduate students and applicants with prior research experience are especially encouraged to apply**
.
📩 Interested candidates should send a CV/resume, a brief statement of interest, and any relevant research or project experience via LinkedIn message or email at [email protected].
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