Post-Doc Research Associate

UNC-Chapel Hill • Chapel Hill, NC

2d

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

• Education Level: No Education Listed
• Number of Employees: 11-50 employees