This position will involve developing and analyzing perturbative algorithms tailored for learning in hardware neural networks. This includes designing methods where small, controlled perturbations to network parameters facilitate learning, as opposed to traditional backpropagation-based optimization. The researcher will explore model-free approaches to perturbation-based learning and assess their effectiveness by implementing them on hardware implementations. A key focus will be on ensuring that these algorithms are robust to noise, compatible with constraints imposed by neuromorphic and analog computing architectures, and scalable to large networks. The researcher will be responsible for implementing and benchmarking perturbative learning algorithms on specialized hardware platforms such as custom analog circuits. This will involve low-level programming, hardware-aware optimization, and the integration of software-hardware co-design principles to maximize learning efficiency.

This position is part of the National Institute of Standards and Technology's (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Who We Are

PREP is a special partnership between the National Institute of Standards and Technology (NIST) and the University of Colorado Boulder. PREP provides research opportunities to CU undergraduate and graduate students, as well as researchers with a Bachelor's, Master's, or PhD in NIST labs to gain research experience alongside NIST scientists.

The particular group that needs a researcher is the Faint Photonics Group at NIST.

What Your Key Responsibilities Will Be

Conduct research on perturbative learning algorithms for hardware-implemented neural networks.
Develop novel techniques for efficient weight adaptation, noise-tolerant learning, and hardware-friendly optimization.
Analyze the theoretical foundations of perturbative methods in the context of learning dynamics and energy efficiency.
Implement and benchmark algorithms on hardware platforms such as analog computing devices.

What You Should Know

Privacy Act Statement

Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose: The National Institute of Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.

PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.

Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.

Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.

What We Can Offer

The salary range for this full-time position is $54,000 - $78,000 annually.

Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements

Be ambitious. Be pioneering. Be Boulder.

What We Require

Bachelor’s degree in a STEM related field.

What We Would Like You to Have

Familiarity with coding in Python.
Ability to process large amounts of data.
Familiarity with operation of SLURM and cluster-based computation.
Ability to develop prototypes of tools needed to analyze data.
Strong oral and written communication skills.

Special Instructions

To apply, please submit the following materials:

Resume or CV
Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.

If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.

During the application process you will need to enter contact information for a reference. We will request the letter of recommendation immediately following your application.

Review of applications will begin immediately and remain open until April 13, 2026.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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