Postdoctoral Research Fellow – AI

Job Description

Postdoctoral Research Fellow Position in Multimodal Foundation Models and Biomedical AI

FTE Range $65,000 – $74,665 based on experience

The labs of Dr. Yuan and Dr. Wei in the Department of Computer Science at Boston College are seeking highly motivated postdoctoral fellows to join an interdisciplinary team advancing the frontiers of biomedical image analysis. This position focuses on developing multimodal foundation models and agentic systems. Successful candidates will apply these models to analyze complex biomedical imaging datasets, contributing to cutting-edge research at the intersection of artificial intelligence and life sciences.

Responsibilities:

Develop and implement new methods for the analysis of biomedical images,  with a focus on brain images
Collaborate with researchers in neuroscience, clinicians, and other relevant
departments to apply image analysis methods to relevant problems
Publish research findings in high-impact journals and present at conferences
Mentor junior research staff, graduate students, and undergraduate students
Participate in grant writing and project management activities
This is a full-time, one-year appointment with a competitive salary and benefits package.

The start date is flexible and will be determined based on the availability of the successful candidate.

Applicants should submit a cover letter that includes a description of research interests, a curriculum vitae (CV), and the contact information of two references (who will only be contacted if the candidate is shortlisted for an interview). For further information or questions, please contact Prof. Yuan and Prof. Donglai Wei at yuanyua.bc.edu and donglai.wei@bc.edu.

Boston College is an Affirmative Action/Equal Opportunity Employer and does not discriminate on the basis of any legally protected category including disability and protected veteran status. To learn more about how BC supports diversity and inclusion throughout the university please visit the Office for Institutional Diversity at https://www.bc.edu/bc-web/offices/human resources/sites/oid.html.

Requirements

Requirements:

Ph.D. in computer science/engineering or a related field
Strong background in multimodal foundation models and agentic systems and demonstrated capability to produce workable solutions from theoretical formulations
Substantial publication history in top computer vision/machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)
Strong teamwork and communication skills