PostDoc – Machine Learning
Core
Conduct basic and applied research in machine learning, multimodal foundation models, continuous learning, and agentic AI systems for autonomous scientific discovery.
Role type
Post-doctoral research associate (ML)
Builds
Novel ML models and agentic AI systems for DOE scientific problems
Domain
National Laboratory research / Scientific discovery
Deliverable
research
Required skills
Ph.D. in CS or related field, theoretical understanding of ML, practical experience in multimodal foundation models, continuous learning, agentic AI, publication record in ML, programming skills
Preferred skills
Experience developing novel ML/agentic AI models, large-scale deep learning systems, multi-modality data analysis, multidisciplinary collaboration
Technologies
Large Language Models (LLMs), multimodal foundation models, agentic AI frameworks
Responsibilities
Conduct research in ML and agentic AI for autonomous scientific discovery, collaborate on scientific data generation and methods evaluation, formulate research ideas with mentors, communicate research progress
Seniority
Post-doctoral researcher
