RAP opportunity at National Institute of Standards and Technology NIST
Autonomous experimentation and machine learning of material properties
Location
Material Measurement Laboratory, Materials Measurement Science Division
| opportunity |
location |
|
| 50.64.31.C1094 |
Gaithersburg, MD |
NIST only participates in the February and August reviews.
Advisers
| name |
email |
phone |
|
| Francesca Tavazza |
francesca.tavazza@nist.gov |
301.975.8496 |
Description
Autonomous experimentation is the combination of automated execution with machine learning (ML) decision making. It has demonstrated the possibility of accelerating materials research and development by orders of magnitude, and it is a core capability and focus area for the Data and AI-Driven Materials Science Group, MMSD, MML. This research opportunity centers on developing methods, algorithms, data, and tools, to support autonomous experimentation as well as prediction of industry- and/or community-relevant material properties.
key words
Machine Learning; Artificial intelligence; Materials Science; Autonomous Experimentation; algorithm development; materials property prediction
Eligibility
citizenship
Open to U.S. citizens
level
Open to Postdoctoral applicants
Stipend
| Base Stipend |
Travel Allotment |
Supplementation |
|
| $82,764.00 |
$3,000.00 |
|
|