Postdoctoral Associate - AI

Job Description

The Commonwealth Cyber Initiative (CCI) at Virginia Tech welcomes applications and nominations for a Postdoctoral Associate to conduct research in the field of AI Assurance.
CCI is looking for a motivated and talented researcher with expertise in: (1) AI Assurance, (2) Data Science and Engineering, and (3) AI Algorithms and their Applications. The candidate must have previous experiences in developing, testing, and deploying AI paradigms including: machine learning, deep learning, reinforcement learning, genetic algorithms, and swarm intelligence. Additionally, the candidate must have knowledge and interest in the explainability of AI algorithms, as well as in developing validation & verification methods that ensure the safety, security, fairness, and trustworthiness of intelligent systems.

Virginia is uniquely positioned to demonstrate global leadership in AI research and its applications. The Commonwealth’s strengths include an unrivaled density of technical talent, industry, academic institutions, proximity to the federal government, and venture capital, creating a highly fertile environment for innovation and tech-based economic growth. To support the current research efforts, this position will include the development of innovative AI architectures and testbed experiments in collaboration with academic, commercial, and government researchers using the AI Testbed.

Required Qualifications

• PhD in Computer Engineering or Computer Science or a related field with a data science or AI background PhD awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Demonstrated Theoretical and foundational understanding of AI and learning algorithms
• Hands-on experience with statistical analysis, experimental research, including the evaluation of intelligent algorithms, and preferably the validation and verification of software systems
• A solid background in data management and AI algorithms’ inner workings
• Demonstrated ability to working effectively with on a diverse team, including researchers within Virginia Tech and other Virginia universities
• Track record in publishing in high-impact peer-reviewed journals/conferences
• Writing experience as first author in top tier AI and data science journals and conferences
• Good communication skills and preferably the ability to aid in supervising undergraduate and graduate students

Preferred Qualifications

• Solid background in software testing, statistics, and quality assurance principles
• Experience with applying AI algorithms for public policy (such as in economics, agriculture, smartfarming, and law)
• Big data management skills for security and safety analytics.
• Development (coding) experience in tools such as: Tensor Flow, Python, R, Spark, Keras and other AI-supporting tools.

Appointment Type

Restricted

Salary Information

commensurate with experience

Review Date

August 30, 2021

Additional Information

The successful Candidate will be required to have a criminal conviction check.

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 the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Sue Kass at sjkass@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: May 11, 2021
Applications close: