Publisher
source

Sumit Kumar Jha

11 months ago

PhD Openings in Artificial Intelligence, Formal Methods, and Trustworthy Computing at University of Florida University of Florida in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Funding is supported by projects from NSF, DoD, DOE, and other sources. Access to advanced computing resources (HiPerGator 4.0) is provided. No explicit details on stipend amount or tuition coverage are mentioned.

Deadline

Expired

Country flag

Country

United States

University

University of Florida

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Keywords

Computer Science
Machine Learning
Information Technology
Artificial Intelligence
Formal Methods
Interpretability
Trustworthy Ai
Secure Ai
Neurosymbolic Ai
Responsibleai
Generativemodels

About this position

Professor Sumit Kumar Jha at the University of Florida is recruiting multiple PhD students for Fall 2026 in the Department of Computer & Information Science & Engineering (CISE). The research focus is on Artificial Intelligence (AI), Machine Learning, Formal Methods, and Trustworthy Computing. Key topics include reasoning, decision-making, generative models, neurosymbolic AI, safe and responsible AI, interpretability, and rigorous evaluation of AI systems.

Students will benefit from access to HiPerGator 4.0, the fastest AI-dedicated university-owned system in the U.S., and collaborations with national labs such as ORNL and ANL. Projects are supported by major funding agencies including NSF, DoD, and DOE. The group has a strong publishing record in top venues like NeurIPS, ICML, ICLR, AAAI, IJCAI, DAC, and ICCAD.

Professor Jha's former PhD students have secured faculty positions at UCF and CU Boulder, roles at national labs (ORNL, AFRL), and industry positions at PayPal and Google, demonstrating excellent career outcomes.

Applicants should have a solid background in computer science or related fields, with interests in AI, machine learning, formal methods, and trustworthy computing. Experience in reasoning, decision-making, generative models, or neurosymbolic AI is preferred. Candidates should be motivated for rigorous research and evaluation of AI systems. No specific GPA, language test, or degree requirements are mentioned, but strong academic and research credentials are expected.

Funding is available through projects supported by NSF, DoD, DOE, and others, though specific stipend and tuition details are not provided. Interested candidates should contact Professor Sumit Kumar Jha via email ([email protected]) and review his academic website (sumitkumarjha.com) for further information. Applications should be submitted to the University of Florida CISE PhD program for Fall 2026.

Funding details

Funding is supported by projects from NSF, DoD, DOE, and other sources. Access to advanced computing resources (HiPerGator 4.0) is provided. No explicit details on stipend amount or tuition coverage are mentioned.

What's required

Applicants should have a strong background in computer science or related fields, with interests in artificial intelligence, machine learning, formal methods, trustworthy and responsible AI, and interpretability. Experience in reasoning, decision-making, generative models, or neurosymbolic AI is preferred. Candidates should demonstrate research potential and motivation for rigorous evaluation of AI systems. No specific GPA, language test, or degree requirements are mentioned, but competitive academic and research credentials are expected.

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Professors

Professor of Computer Science

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Interpretability

Responsibleai

Trustworthy Ai

Computer Science