Publisher
source

Virginia Tech

Just Landed

Postdoctoral Associate - Trustworthy Artificial Intelligence Virginia Tech in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary information listed as $63,480–$68,480 per year, commensurate with experience.

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Country

United States

University

Virginia Tech

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Keywords

Computer Science
Cognitive Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Network Security
Data Privacy
Uncertainty Analysis
Explainable Ai
Statistics

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About this position

The Bradley Department of Electrical and Computer Engineering at Virginia Tech is seeking multiple Postdoctoral Associates in trustworthy artificial intelligence. The project focuses on making AI models and agents more transparent, interpretable to humans, safe, and reliable.

Successful candidates will work on research that may include methods to understand and explain AI decision-making, identify and evaluate potential failures and vulnerabilities, and improve robustness and reliability in real-world AI settings. The role is research-intensive and emphasizes the development of publishable results as well as practical research outputs such as open-source software, datasets, benchmarks, models, and other artifacts that can support the broader AI research community.

Working with faculty supervision and collaborating researchers, the postdoctoral associate will design and execute studies, present findings, and publish in peer-reviewed venues. The position also includes contributing to research proposals and mentoring undergraduate students involved in related projects.

This appointment is part of Virginia Tech’s interdisciplinary research environment within ECE, offering opportunities to collaborate across fields and build experience relevant to academic, industry, government, and nonprofit careers.

Funding details

Salary information listed as $63,480–$68,480 per year, commensurate with experience.

What's required

Ph.D. in computer science, electrical or computer engineering, data science, statistics, applied mathematics, or a closely related field completed by the appointment start date. The PhD must have been awarded no more than four years before the effective date of appointment, with at least one year of eligibility remaining. Applicants should have a record of research in artificial intelligence or machine learning, experience designing and conducting computational or empirical research, programming proficiency relevant to AI/ML research, evidence of written and oral technical communication, and a record of contributing to both independent and collaborative projects. Preferred qualifications include expertise in trustworthy AI, experience with deep learning, foundation models, large language models, multimodal models, reinforcement learning, or agentic AI systems, publication experience, open-source software or benchmark development, grant-writing support, mentoring experience, and applied AI evaluation experience.

How to apply

Apply through the Virginia Tech careers portal using the posted application link. Prepare materials showing your research record, programming experience, technical communication, and collaborative work. Submit any documents requested in the posting through the online application system.

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