We are actively recruiting post-doctoral fellows, graduate students, medical students, and visiting scholars.

1. MRI analysis research assistant positions opening now.

The laboratory is searching for two highly motivated and talented masters student candidates starting Fall 2025 to help annotate and develop segmentation algorithms to study the relationship between anatomic structures surrounding the trigeminal nerve and brainstem. The positions will incorporate both manual and machine learning-based segmentation of patient MRIs with a focus on arteries, veins, and nerves within the trigeminal region, and correlate these findings with clinically relevant, patient-centered post-surgical outcomes.  The candidates will also analyze fMRI data via computational modeling and use statistical techniques to compare extracted data from distinct patient populations.

The masters candidates will function within a dynamic laboratory environment including trainees who are post-doctoral fellows, medical students, and undergraduate students. The positions offer a unique team-based science environment with significant collaboration opportunities within the departments of neurosurgery, biomedical engineering, and neuroscience for education, training, and career development opportunities. This project may develop into a successful masters thesis. 

Job Duties

• Learn how to manually interpret and segment the trigeminal nerve, superior cerebellar artery and branches, and surrounding veins from patient MRIs.
• Leverage existing and develop new machine-learning segmentation models for trigeminal nerve and surrounding anatomical structures from MRI volumes.
• Statistical analysis of fMRI data from patients pre- and post- surgical interventions, as well as from controls.

Minimum Qualifications

• BS or a BA in biomedical engineering, computer science, electrical engineering, or related fields.

Preferred Qualifications

• Some experience in Python, data analysis, computer vision, or medical imaging is preferred.
• Basic experience in machine learning and AI-mediated segmentation is preferred but not required.

If you are interested in applying, please send a description of your research experience and interests, along with your CV and contact information for references to my email (rxu4@jhmi.edu).

Location: The Johns Hopkins University School of Medicine, 733 N Broadway, Baltimore, MD 21205