27 machine-learning-phd Postdoctoral research jobs at Oak Ridge National Laboratory

Postdoctoral Research Associate in AI/ML for algorithm development for self-driving laboratories

together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied

Postdoctoral Research Associate - Climate Risk Analytics

comprised of a multi-disciplinary team of scientists carrying out research to improve process understanding of the global Earth system by developing and applying models, machine learning, and computational

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

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

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

Postdoctoral Research Associate - Multi-compositional Materials

scientists, engineers, enterprise software developers, and machine learning experts at both neutron research facilities. We are seeking applicants to study materials science & engineering using neutron

Postdoctoral Research Associate - Physical Chemistry and Spectroscopy

spectroscopy/scattering techniques for the design and characterization of functional materials Knowledge and experience in application of machine learning (ML)/artificial intelligence (AI) algorithms Ability

Postdoctoral Research Associate - AI/ML for Land Cover Forecasting and Risk Evaluation

physics-based machine learning for land cover forecasting. Intended use of these capabilities include urban planning, hydrological modeling, and wildfire risk mitigation strategies. In addition to model

Postdoctoral Research Associate - Machine Learning for Complex System Prognostics and Diagnostics

research associate who will focus on machine learning, signal processing, and statistical analysis with emphasis on prognostics and applications. This position resides in the Accelerator Science and

Postdoctoral Research Associate - AI/ML for 3D Geospatial Modeling with Multi-modality Data

strategies. Within the GeoAI group, you will have the opportunity to develop and publish on novel machine learning based solutions to national and global problems. Research activities include the design of