This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Hardware Accelerators for Statistical Computing
The work will entail:
This post-doctoral appointment is to theoretically investigate novel materials and devices for artificial intelligence, particularly approaches for statistical computing. Tasks include but are not limited to computing magnetic properties of materials and devices relevant to novel-hardware-based approaches to Artificial Intelligence, simulating magnetic dynamics of devices of these devices, and predicting performance of these devices in AI applications.
Key responsibilities will include but are not limited to:
- Formulating a plan for the calculations with NIST staff.
- Carrying out calculations, analyzing the results, and discussing the results with NIST staff.
- Presenting results at internal meetings, and occasional meetings with external stakeholders.
- Participating in writing papers describing the results.
- Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
Qualifications
- A PhD degree in Electrical and Computer Engineering or Physics.
- Five or more publications on materials for novel devices.
- Multiple theoretical contributions to experimental papers.
- Familiarity with computational tools for magnetic materials and devices.
- Familiarity with multiple scripting languages.
- Ability to develop prototypes of tools needed to analyze data.
- Strong oral and written communication skills.
Please upload the following (preferably in a single PDF) with your application:
Novel Hardware for Artificial Intelligence
Several types of devices are poised to significantly contribute to accelerators for artificial intelligence. For discrete, non-volatile devices, an important barrier to their entry into the marketplace is the lack of efficient training schemes. This project develops training schemes appropriate for such devices, identifies the device-property measurements needed, and designs the circuits needed to implement such schemes. A second type of device is an oscillator, particularly oscillators based on magnetic tunnel junctions. There are similar barriers to the marketplace for such devices as for discrete devices, but with the additional problem of creating realistic compact models of devices for use in circuit modeling. The goal of this project is to address these barriers to facilitate the commercialization of novel-hardware-based accelerators for artificial intelligence.
The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.