Internship

About the Role

We are seeking highly motivated undergraduate/graduate students for a temporary research internship opportunity at Harvard Medical School and Massachusetts General Hospital (MGH). The project focuses on advancing computational methods for medical imaging and exploring emerging hybrid quantum-classical computing approaches for healthcare applications. Interns will work at the intersection of quantum computing, computational imaging, medical physics, artificial intelligence, and biomedical data science, contributing to research that may shape the future of PET/CT imaging and related technologies.

Key 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.

Requirements & Tech Stack

• Proficiency in Python and MATLAB programming.
• Familiarity with scientific computing, numerical methods, and data analysis.
• Ability to work independently and collaboratively within an interdisciplinary research team.
• Strong written and verbal communication skills.

Qualifications

• Current undergraduate or graduate student in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Applied Mathematics, Data Science, Medical Physics, or a related field.
• Strong analytical, mathematical, and problem-solving skills.
• Preferred: Experience with medical imaging, image processing, signal processing, computational physics, or scientific computing.
• Preferred: Experience with machine learning, optimization algorithms, or scientific software development.
• Preferred: Familiarity with GPU computing, CUDA, parallel computing, or high-performance computing environments.
• Preferred: Exposure to quantum computing concepts and/or frameworks such as Qiskit, CUDA-Q, PennyLane, Cirq, or related platforms.
• Preferred: Previous research experience and interest in contributing to scientific publications and conference presentations.
• Preferred: 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.