Scientific Datamining
NIST seeks data mining techniques to analyze large materials science datasets from automated experiments, including image and spectral data, for scientific discovery.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: Stipend approximately $82,764 per year plus $3,000 travel allowance; typical appointment duration 2 years.
Summary: Supports postdoctoral research applying data mining techniques to large, multidimensional materials science datasets generated by automated experiments at NIST.
Key Information: Open to U.S. citizens with a doctoral degree earned within the last 5 years; requires contacting a NIST Research Adviser prior to application.
Description
This fellowship opportunity, offered through the NRC Research Associateship Programs at the National Institute of Standards and Technology (NIST), focuses on scientific data mining applied to large, complex datasets generated by automated experiments in materials science. These datasets include image data with measurements at each pixel and spectra-like measurements over spatial domains, resulting from combinatorial experiments.
The research aims to develop and apply advanced data mining techniques such as classification, rule finding, and automated model building to extract scientific insights and discover items of potential interest within these multidimensional data spaces. There is also scope for developing new data mining methodologies tailored to these unique datasets.
The fellowship is hosted within NIST's Information Technology Laboratory, Applied and Computational Mathematics Division, located in Gaithersburg, MD.
