The Material Measurement Laboratory of the National Institute of Standards and Technology (NIST) is seeking qualified persons (U.S. citizens preferred) to join a multi-disciplinary team of scientists working on advanced modeling of atomic layer deposition (ALD) processes. The project will develop a suite of in situ metrology tools to quantify mass transport processes occurring during thermal ALD. This position requires expertise in the use of machine learning to model chemical processes. The candidate should be knowledgeable in chemical process modeling and in parameter estimation in complex models using regression and machine learning. Direct experience with deep learning would also be advantageous.
This opportunity is to be an associate researcher in the NIST Material Data Division for a term of 1 year, with options to renew. Associate researchers are NOT Federal Employees, but they work along with NIST researchers and with NIST’s world-class instrumentation. Relocation expenses will not be provided. U.S. citizens hired into associate positions may have the opportunity to seek longer term Federal Employment.
Interested persons (U.S. citizens preferred) who meet all of the required qualifications are invited to express their interest by sending an email that briefly describes their qualifications along with a CV to 641assoc [at] nist.gov (641assoc[at]nist[dot]gov). U.S. Citizens should note “U.S. Citizen” and the opportunity title in the email subject line. All others should note “Non-U.S. Citizen” and the opportunity title in the email subject line.