45 phd-machine-learning positions at Oak Ridge National Laboratory

Senior R&D Staff - Physics-informed Machine Learning Scientist for Autonomous Self-driving Laborator

Requisition Id 12780 Overview: We are seeking a Machine Learning Scientist who will focus on research and development of new physics-informed machine learning algorithms, as well as writing and

Senior Research Scientist, Biostatistics and Biomedical Informatics

research experience beyond the PhD. A well established track record of research in an area relevant to one or more areas of expertise of the group. Knowledge of state-of-the-art machine and deep learning

Postdoctoral Research Associate in Process Monitoring, Control, and Optimization

completed in the last five years. Hands-on experience with machine learning, process modelling, and industrial data acquisition systems is very valuable. This position may also require access to technology

Physics-informed Machine Learning Scientist for Autonomous Self-driving Laboratories - R&D Staff

to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Machine Learning Scientist who will focus on research and development

Nonproliferation Data Scientist

approaches for scientific data analysis and/or the latest machine learning approaches, including deep learning models. Experience working with DOE National Laboratories (or similar R&D organizations). Special

Chemical Engineer for Environmental Management - R&D Associate

modeling and experiences in machine learning Strong background in modern techniques in fabrication of nano- and microfluidics An excellent record of productive and creative research as demonstrated by

Post-Doctoral Research Associate - Hydroinformatics

with machine learning, particularly as applied to hydrology or other environmental systems Experience developing software for, and running software, in a cluster computing environment Experience with

Research Associate (Hybrid-eligible)

opportunity to creatively use interdisciplinary methods from computational data science, machine learning, geographical information sciences, and many other topics to help frame and solve the above problems on

Postdoctoral Research Associate - Building Sensing and Control

analytics, and machine learning, the Grid Interactive Controls group delves deeply into understanding intricate grid-edge operations. Researchers are dedicated to laying the groundwork for optimal X2G

Irradiation Engineering Researcher

aided design tools; Perform thermal and structural analyses using commercial finite element software such as ANSYS; Perform safety analyses to ensure safe experiment operation; Calculate nuclear heating