Demo

Neuromorphic materials and computing Devices and platforms

Zintellect
Adelphi, MD Intern
POSTED ON 6/7/2026
AVAILABLE BEFORE 8/6/2026

This research position focuses on low power electronic devices and circuits. As the challenges with computing reaches its limits, due to power scaling challenges of today's transistor technologies, a desperate need for development of new approaches to high performance computing is needed. In this research program we attempt to develop neuromorphic devices based on ferroelectric FETs and electrochemically gated devices. To achieve the objectives of this research program we seek to select motivated, competent, and skillful candidate that can move this project forward. This opportunity will expose the candidate to a multidisciplinary research program that spans materials development, device design and integration, and circuit development. The candidate is expected to have an in-depth knowledge of device physics and basic circuit design. Prior experience with concepts in deep learning, neuromorphic computing, non-volatile memory devices is desired.

Advisor Name: Andreu Glasmann

Advisor Email: andreu.l.glasmann.civ@army.mil

About ARD

ARL’s Army Research Directorate (ARD) focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through laboratory’s 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.

About ARL-RAP

The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. 

About PHOTONICS, ELECTRONICS, & QUANTUM SCIENCES (PE&QS)

Materials (and related manufacturing methods) and devices intended for achieving photonic, electronic, and quantum-based effects.

A complete application includes:

  • Curriculum Vitae or Resume
  • Three References Forms
    • An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
    • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
  • Transcripts
    • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable

If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :

  • Research topic should relate to a specific opportunity at ARL (see Research Areas)
  • The objective of the research topic should be clear and have a defined outcome
  • Explain the direction you plan to pursue
  • Include expected period for completing the study
  • Include a brief background such as preparation and motivation for the research
  • References of published efforts may be used to improve the proposal

A link to upload the proposal will be provided to the applicant once the advisor has made their selection.

Questions about this opportunity? Please email ARLFellowship@orau.org

Hourly Wage Estimation for Neuromorphic materials and computing Devices and platforms in Adelphi, MD
$48.00 to $62.00
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