Postdoctoral Associate - Trustworthy Artificial Intelligence

Virginia Polytechnic Institute And State University
Blacksburg, VA, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$63,480.0 - $68,480.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cyber Security Computer Programming Computer Engineering Human-Computer Interaction Machine Learning Open Source Technology Software Safety Reinforcement Learning Uncertainty Quantification (UQ) Large Language Models Deep Learning
+4 more
Model Validation Agentic-AI Information Technology Free and Open-Source Software

Job description

Working with the faculty supervisor and collaborating researchers, each Postdoctoral Associate will design and execute research studies, disseminate results through peer-reviewed publications and presentations, and develop open-source software, datasets, benchmarks, models, or other research artifacts that benefit the broader research community. The position will also contribute to the development of research proposals and mentor undergraduate students participating in related projects. The appointments provide opportunities for interdisciplinary collaboration and professional development in preparation for careers in academia, industry, government, or the nonprofit sector.

Requirements

  • 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.
  • PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
  • Record of research in artificial intelligence, machine learning, or a closely related area, documented through the curriculum vitae, resume, cover letter, doctoral dissertation, publications, preprints, or other research products identified in the application materials.
  • Record of designing and conducting computational or empirical research, including research methodology, implementation, analysis, or documentation, as reflected in research projects, publications, dissertation work, or other scholarly products identified in the application materials.
  • Programming proficiency relevant to AI or machine-learning research, evidenced by research code, software projects, technical portfolios, repositories, publications, or equivalent work products identified in the application materials.
  • Record of written and oral technical communication, evidenced by publications, dissertation work, technical reports, conference or seminar presentations, teaching materials, or other examples identified in the application materials.
  • Record of contributing to both independently led and collaborative research, software, publication, or technical projects, as documented in the curriculum vitae, resume, cover letter, or other application materials., * Research expertise in one or more areas related to trustworthy AI, such as explainable or interpretable AI, AI safety, robustness, reliability, uncertainty quantification, model evaluation, fairness, privacy, security, human-AI interaction, or the evaluation and alignment of AI agents.
  • Experience with contemporary AI systems, including deep learning, foundation models, large language models, multimodal models, reinforcement learning, or agentic AI systems.
  • Record of publication in peer-reviewed journals or selective conferences relevant to artificial intelligence, machine learning, human-computer interaction, cybersecurity, or related fields.
  • Experience developing and maintaining open-source research software, reproducible workflows, datasets, benchmarks, model evaluations, or other community-facing research artifacts.
  • Experience contributing technical content to grant proposals, sponsored-research reports, or collaborative research plans.
  • Experience mentoring or supervising undergraduate or graduate researchers.
  • Experience evaluating AI systems in applied or real-world settings, including work with interdisciplinary collaborators or external partners.

About the company

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

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