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Agnimitra Sengupta

Assistant Professor of Civil Engineering

Penn State Harrisburg

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United States

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Research Interests

Artificial Intelligence

10%

Mechanical Engineering

10%

Civil Engineering

10%

Health And Safety

10%

Systems Engineering

10%

Machine Learning

10%

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Positions1

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Agnimitra Sengupta

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Penn State Harrisburg

Fully Funded MS in Civil Engineering and PhD in Engineering Systems at Penn State Harrisburg (AI, Transportation, Infrastructure)

Penn State Harrisburg is offering fully funded graduate research assistantship positions for the Fall 2026 semester in MS Civil Engineering and PhD Engineering Systems. The research group, led by Dr. Agnimitra Sengupta, focuses on transportation operations and safety, as well as infrastructure systems, with a strong emphasis on artificial intelligence, machine learning, and data-driven methods. Students will gain hands-on research experience, work on externally funded projects, and prepare for careers in academia and industry. Research activities span two main areas: (1) Operations & Safety, which includes traffic flow modeling, short-term demand prediction, uncertainty-aware prediction for traffic operations, multimodal safety analysis, and video-based surrogate safety measures; and (2) Infrastructure Systems, focusing on autonomous, reliable, and scalable evaluation frameworks, AI-based interpretation of nondestructive evaluation data, and integrated infrastructure condition prediction for asset management. Applicants should have degrees in civil engineering, mechanical engineering, computer engineering, systems engineering, or closely related fields. Experience or interest in machine learning, data analytics, computer vision, optimization, or statistical modeling is highly desirable. Qualified candidates will receive a competitive stipend, tuition coverage, health insurance, and opportunities for continued funding through sponsored research projects. To apply, students should email a CV and a brief research statement to Dr. Sengupta ([email protected]) and review program details at the provided links. The application deadline for full funding consideration is January 15, 2026.

1 month ago