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DEVCOM Army Research Laboratory

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Design Obfuscation for Trusted Chip Fabrication DEVCOM Army Research Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Electrical Engineering
Information Technology
Python Programming
Design Automation
Hardware Security

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About this position

This research opportunity at DEVCOM Army Research Laboratory focuses on developing a hardware security design methodology for obfuscating CMOS IC designs fabricated at untrusted foundries. The project is positioned at the intersection of trusted chip fabrication and design automation, with an emphasis on protecting integrated circuit implementations against adversarial manufacturing scenarios.

The selected researcher will work on ASIC design flow and related implementation tasks, including scripting and the use of EDA tools across simulation, synthesis, place-and-route, custom layout, and signoff. The advert highlights design automation concepts such as split-fabrication, partitioning, and design obfuscation, indicating a technically demanding project centered on secure hardware development.

The opportunity is associated with the Army Research Laboratory Research Associateship Program, placing the work within ARL’s broader research environment in science and engineering. The supervisor listed for the position is Theodros Nigussie.

Funding details

Available

What's required

Citizenship must be U.S. Citizen only. Applicants must hold a doctoral degree; the opportunity is listed at the doctoral degree/postdoctoral fellow level. Candidates should have in-depth knowledge of ASIC design flow, scripting languages such as TCL and Python, and experience with EDA tools for simulation, synthesis, place and route, custom layout, and signoff. Prior research experience in hardware security is preferable. A complete application requires a CV or resume, three references, and transcripts verifying degree receipt; if selected, the participant must also prepare a research proposal.

How to apply

Apply through the Zintellect opportunity page. Submit a CV or resume, three references, and transcripts with the online application. If selected by an advisor, prepare and upload the required research proposal when instructed.

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