Research Assistant Position: Computational Neuroimaging, Functional MRI, Diffusion MRI, and Artificial Intelligence for Pediatric Brain Research

Research Assistant Position: Computational Neuroimaging, Functional MRI, Diffusion MRI, and Artificial Intelligence for Pediatric Brain Research
Prof. Onur Afacan, Quin Laboratory, Harvard Medical School and Boston Children’s Hospital
Fall 2026

The QUIN Laboratory at Boston Children’s Hospital and Harvard Medical School develops advanced magnetic resonance imaging methods and artificial intelligence approaches for studying the human brain, with a particular emphasis on pediatric imaging. Our research combines MRI physics, functional MRI, diffusion MRI, quantitative imaging, image reconstruction, motion correction, and machine learning to improve how brain structure and function can be measured. A major focus of the laboratory is developing imaging techniques that are more robust to patient motion and more practical for children, who can be particularly challenging to image using conventional MRI methods. Current projects include advanced functional MRI methods for pediatric brain mapping, diffusion MRI for studying brain tissue microstructure and structural connectivity, MRI motion correction and image quality assessment, quantitative MRI, accelerated MRI acquisition and reconstruction, and artificial intelligence methods for medical image analysis. We are particularly interested in translating new computational and imaging methods into tools that improve the quality and reliability of pediatric neuroimaging research. Responsibilities: The undergraduate Research Assistant will work with members of our research group on ongoing computational neuroimaging and MRI projects. Depending on the student’s interests and experience, responsibilities may include: (1) processing and analyzing structural MRI, functional MRI, and diffusion MRI data; (2) performing diffusion MRI analysis to investigate tissue microstructure and brain connectivity; (3) performing image quality assessment and evaluating the effects of patient motion on neuroimaging data; (4) assisting with development and evaluation of motion correction and image reconstruction methods; (5) applying machine learning and artificial intelligence methods to medical imaging data; (6) performing quantitative analysis, statistical analysis, and visualization of imaging results; (7) conducting literature reviews on neuroimaging, MRI, diffusion imaging, and artificial intelligence methods; (8) participating in laboratory meetings and discussions of ongoing research; (9) supporting research presentations, abstracts, and manuscripts as appropriate; and (10) interacting with research participants and families as part of ongoing imaging studies. Students with stronger programming backgrounds may have opportunities to contribute directly to computational methods and machine learning projects. Students interested in neuroscience may focus more heavily on functional MRI, diffusion MRI, brain connectivity, image quality, and analysis of pediatric neuroimaging data. Requirements and Expectations: We are seeking motivated, reliable, and detail oriented undergraduate students with interests in neuroscience, computer science, engineering, applied mathematics, statistics, physics, biomedical engineering, or medical imaging. Previous research experience is helpful but not required. Programming experience, particularly with Python, is desirable for computational projects but is not required for all available projects. Experience with machine learning, image processing, statistics, diffusion MRI, or neuroimaging is welcome. We prefer students who can commit approximately 8 to 10 hours per week and who are interested in participating for at least two semesters. Longer term involvement is particularly encouraged because it allows students to take increasing ownership of a research project. Additional Information: This is an unpaid undergraduate research position and may be eligible for academic course credit, subject to Harvard and MBB requirements. The laboratory is located in the Department of Radiology at Boston Children’s Hospital in the Longwood Medical Area. Research activities may include a combination of in person and computational work depending on the project. Students will have opportunities to interact with MRI physicists, engineers, computer scientists, imaging researchers, and other members of a multidisciplinary research environment at Boston Children’s Hospital and Harvard Medical School. Faculty supervisor is Onur Afacan, PhD, Associate Professor of Radiology at Harvard Medical School and Scientific Director of Radiology Research Imaging at Boston Children’s Hospital. Laboratory website: https://labs.childrenshospital.org/onurafacan. To Apply: Interested students should email Onur Afacan with (1) a CV or resume; (2) a brief description of their research interests and why they are interested in joining the laboratory; (3) relevant coursework, programming, research, or technical experience, if any; and (4) their anticipated availability during the academic year. Please use the subject line “Undergraduate Research Assistant, QUIN Lab.” (posted 9/2026)