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National Institute of Standards and Technology

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Postdoctoral Position in Machine Learning and Ultracold-Atom Experiments National Institute of Standards and Technology in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

National Institute of Standards and Technology

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Keywords

Computer Science
Experimental Physics
Atomic Physics
Explainable Ai
Statistics
Physics
Machine learning

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About this position

Postdoctoral Position in Machine Learning and Ultracold-Atom Experiments

This postdoctoral opening combines machine learning and ultracold-atom experiments in roughly equal measure. The work is based at the NIST campus in Gaithersburg, Maryland, with a joint appointment through the Joint Quantum Institute at the University of Maryland.

The postdoc will be jointly mentored by Justyna Zwolak (ML) and Ian Spielman (cold-atom experiments). Research directions include ML-driven discovery from experimental data, ML-augmented experiment design, and applications of explainable ML methods.

Eligibility highlights: applicants must have Ph.D.-level mastery of modern atomic physics experimental methods. The candidate is also expected to build strong ML expertise during the appointment and work closely with graduate and undergraduate students.

How to apply: send a cover letter, a CV with full publication list, and three reference letters to [email protected] and [email protected]. Applications are reviewed on a rolling basis until the position is filled.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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