Postdoc Research Fellow — AI, Neuroimaging & ML

The University of North Carolina at Chapel Hill; Chapel Hill (NC); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Medical and vision coverage

Paid leave

Professional development support

Healthy work/life balance

Job summary

The ACM Lab at the University of North Carolina at Chapel Hill seeks a postdoctoral researcher with a strong background in machine learning and biomedical imaging. You will contribute to AI-driven software leveraging LLMs, multi-agent reasoning, and scalable analysis of large neuroimaging datasets.

Ideal candidates have a Ph.D. in a relevant field and will collaborate across Psychiatry and Computer Science, with a 12-month appointment starting February 16, 2026.

Qualifications

• Ph.D. in a technical discipline relevant to ML, imaging or data science.
• Experience with Agentic AI, multi-agent systems, LLMs or CV/ DL architectures.
• Strong programming skills in Python and at least one of Python/Java/R.

Responsibilities

• Develop deep-learning approaches for insight and analysis about mouse behavior from video.
• Apply statistics and ML to analyze high-dimensional medical imaging data.
• Build scalable Python/Scala/C++ libraries and ensure automated, high-quality results.
• Advance neurodisorder understanding via computational approaches.
• Collaborate across teams to deliver solutions.
• Present work at national and international conferences.

Skills

Agentic AI

Multi-agent systems

Large language models (LLMs)

Computer Vision

Deep Learning

Python

Java

R

Education

Ph.D. in Computer Science, Information Science, Biomedical Data Science, Mathematics, Statistics, or related technical discipline

Tools

Python

Java

R

Job description

The ACM Lab at the University of North Carolina at Chapel Hill seeks a postdoctoral researcher with a strong background in machine learning and biomedical imaging. You will contribute to AI-driven software leveraging LLMs, multi-agent reasoning, and scalable analysis of large neuroimaging datasets.

Ideal candidates have a Ph.D. in a relevant field and will collaborate across Psychiatry and Computer Science, with a 12-month appointment starting February 16, 2026.