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Agnimitra Sengupta

2 months ago

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

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Qualified candidates will receive full financial support, including a competitive stipend, tuition coverage in accordance with Penn State assistantship policies, health insurance benefits during the academic year, and opportunities for continued funding through sponsored research projects.

Deadline

Expired

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Country

United States

University

Penn State Harrisburg

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Where to contact

Official Email

Keywords

Computer Science
Systems Engineering
Mechanical Engineering
Artificial Intelligence
Civil Engineering
Health And Safety
Machine learning

About this position

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.

Funding details

Qualified candidates will receive full financial support, including a competitive stipend, tuition coverage in accordance with Penn State assistantship policies, health insurance benefits during the academic year, and opportunities for continued funding through sponsored research projects.

What's required

Applicants should hold degrees in civil engineering, mechanical engineering, computer engineering, systems engineering, or closely related fields. Prior experience or strong interest in machine learning, data analytics, computer vision, optimization, or statistical modeling is highly desirable. Applicants must submit a CV and a brief research statement. Detailed program requirements and application procedures are available via the provided links.

How to apply

Email your CV and a brief research statement to Dr. Sengupta at [email protected]. Review program details and deadlines at the provided links. Apply by January 15 for full funding consideration.

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