• Post-Doc Research Associate

    University of North Carolina- Chapel Hill (Chapel Hill, NC)


    Vacancy ID: PDS004749

    Position Summary/Description:

    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.

    Responsibilities for this position includes:

    * 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.

    Education and Experience:

    * 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.