Post-Doc Research Associate

UNC-Chapel Hill • Chapel Hill, NC

10d • Onsite

About The Position

The ACM Lab (www.acmlab.org) in the Department of Psychiatry and Department of Computer Science at the University of North Carolina at Chapel Hill seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will contribute to the development of next-generation AI software within the ACM Lab that leverages LLMs, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets.

Requirements

• Demonstrated experience with Agentic AI, multi-agent systems, large language models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc).
• Strong foundational knowledge in machine learning and data science methodologies.
• Proficiency in programming, with experience in Python and at least one of the following languages: Python, Java and/or R.

Nice To Haves

• Experience with neuroimaging/bioinformatics studies.
• Experience with developing ML models, with a preference on AI trustworthy.
• Experience with biomedical image processing
• Ability to present/visualize outputs to a multidisciplinary audience.

Responsibilities

• Developing deep-learning approaches for insight and analysis about mouse behavior from video
• Machine Learning: use your expertise in statistics and machine learning to analyze high dimensional medical imaging data
• Make it easy to get high quality, automated, results without expert intervention.
• Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate.
• Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders.
• Interact cross-functionally: work with people across the team to find creative solutions and deliver them.
• Skilled at data visualization and presentation: The candidate will be called upon to present work at national and international research conferences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level