Research Fellow in Cardiovascular MRI Physics

Research Fellow in Cardiovascular MRI Physics

Boston, MA

Beth Israel Deaconess Medical Center – Full‑time, Day shift

We are seeking a highly motivated Research Fellow with strong interest and expertise in the development and application of advanced cardiovascular MRI techniques to join the Cardiovascular MR Research Center under the mentorship of Prof. Reza Nezafat. The successful candidate will play a central role in the design, implementation, and validation of MRI pulse sequences and image acquisition strategies for cardiovascular imaging, with a particular emphasis on quantitative MRI methods.

The work will involve developing and optimizing acquisition and reconstruction approaches for techniques such as quantitative perfusion, mapping, and motion‑robust imaging, with close attention to MRI physics, sequence efficiency, and quantitative accuracy. Methodological efforts will integrate modern machine learning approaches—generative and vision‑based models such as generative adversarial networks, diffusion models, and transformer‑based architectures—to enhance image acquisition efficiency, motion compensation, signal‑to‑noise ratio, and contrast fidelity while preserving the accuracy and reproducibility of quantitative measurements across cardiovascular MRI sequences.

This position is well suited for a PhD‑trained scientist who enjoys hands‑on technical development, close collaboration with clinicians, MRI physicists, engineers, and industry partners, and contributing to NIH‑funded translational research programs. The role includes active collaborations with Siemens Healthineers and offers clear pathways toward clinical translation and real‑world impact.

Applicants must hold a PhD in medical physics, electrical engineering, or biomedical engineering with research experience in MRI sequence development, image reconstruction, and/or quantitative MRI, with demonstrated experience integrating AI‑based methods. 3+ years of postdoctoral experience preferred.

• Research and develop novel MRI pulse sequences for various cardiovascular MRI applications.
• Develop and apply deep learning methods to support MRI reconstruction, quantification, and image enhancement in conjunction with novel pulse sequence development.
• Perform imaging experiments using the 3T Siemens system to evaluate the performance of novel pulse sequences, image reconstruction and image enhancement.

• PhD in Medical Physics, Biomedical Engineering, Computer Science, Electrical Engineering, or related field.
• 3+ years of research experience in MRI, focused on technical development.
• Experience in pulse sequence programming on major MRI vendor platforms (e.g., Siemens, GE, Philips or United Imaging).
• Proven track record of publications in top‑tier imaging journals (e.g., Radiology, Radiology: AI, Radiology: CTI, MRM, JMRI, JCMR).

• Abides by institutional policies of BIDMC relating to health and safety, equality of opportunity and data storage and management.
• As a member of the research team, actively pursues research under the supervision of a principal investigator while developing skills for independent work.
• Receives training in and performs duties contributing to the investigational work of the team including formulation of research questions, design, conduct of experiments, and evaluation of results.
• Prepares and publishes scientific manuscripts under the direction of the PI.
• Develops expertise in desired lab skills/informatics/physics/clinical research and proficiency with research tools and equipment.
• Develops new ideas that promote current research; brings new expertise to the research program.
• Teaching skills and provides supervision of students and their projects when appropriate.
• Engages in collaborative meetings with other research groups; attends and leads scientific seminars.
• Identifies, acknowledges and corrects deficiencies in one's own performance.
• Under the direction of PI, pursues/securing independent funding near the end of the fellowship.

• Doctoral Degree or M.D.
• 0–1 year of postdoctoral research experience in academic or industrial lab setting,…