Postdoctoral Fellow – AI and Physics-Informed MRI Reconstruction & Motion Correction

Monday 5th January 2026

Contact Email for the Job Positing xiaoqing.wang@childrens.harvard.edu

Organization Boston Children's Hospital / Harvard Medical School

Location Boston

Title Postdoctoral Fellow – AI and Physics-Informed MRI Reconstruction & Motion Correction

URL http://crl.med.harvard.edu/

Closing date Mar 31, 2025

Description Computational Radiology Lab

Boston Children’s Hospital and Harvard Medical School

We are seeking a highly motivated Postdoctoral Fellow to work on AI-driven MRI image reconstruction and motion correction, with a focus on fetal, neonatal, and pediatric imaging. The position sits at the intersection of MRI physics, machine learning, and clinical translation.

Research Focus: The fellow will develop advanced AI methods for: 1) Motion-robust reconstruction in non-Cartesian MRI 2) Learning-based and physics-informed reconstruction (e.g., unrolled networks, self-supervised and diffusion models) 3) Motion estimation and correction 4) Quantitative MRI under severe motion.

Qualifications: 1) PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, or related fields 2) Strong background in image reconstruction, inverse problems, or machine learning 3) Experience with deep learning (PyTorch/TensorFlow) / Python / C /C++ programming.

What We Offer: 1) Collaborative research environment with strong mentorship 2) Access to state-of-the-art research and clinical MRI scanners , as well as advanced computing resources 3) Competitive salary, benefits, and career development opportunities.

How to Apply: Please send a CV, a brief research statement, and 2–3 references to

Xiaoqing Wang, PhD

Email: xiaoqing.wang@childrens.harvard.edu. Thank you!