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Post-Doc Research Associate

University of North Carolina- Chapel Hill

NC-Chapel-Hill, NCResearchSeen 3w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
NC-Chapel-Hill, NC
Role Type
Research
Work Authorization
Not specified

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Job overview

The ACM Lab at UNC Chapel Hill seeks a postdoctoral researcher with expertise in machine learning, biomedical image processing, and agentic AI to develop AI-driven software for neurodisorder diagnosis and analysis, leveraging large language models and scalable data pipelines.

Skills & qualifications

RequiredNice to have

Skills

Deep LearningStatisticsMachine LearningNeuroimagingBiomedical Image ProcessingPythonScalaC++SparkHadoopData VisualizationLarge Language ModelsAgentic AIMulti‑Agent Reasoning

Full job description

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.

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