Assistant Professor, AI for Civil & Environmental Eng

North Carolina State University; Raleigh (NC); On-site; USD 100,000 - 109,000; Full time

Benefits offered by this job

Tuition and Academic Assistance

Job summary

NC State University’s Department of Civil, Construction, and Environmental Engineering invites applications for an Assistant Professor position focused on AI-driven approaches to decision-making in civil infrastructure and environmental systems. This faculty role is based in Raleigh, NC, with responsibilities spanning teaching, research, and service.

We seek a candidate with a doctorate and a strong foundation in AI, data-driven modeling, and large-scale datasets, capable of advancing

Qualifications

• Strong foundation in engineering and artificial intelligence, including fundamentals of modeling, computation, and data-driven analysis.
• Demonstrated ability to apply AI methods to engineering problems.
• Experience with large-scale datasets relevant to infrastructure and environmental systems.
• Proven problem-solving skills with evidence of impactful, applied work.

Responsibilities

• Develop AI-driven approaches for decision-making in civil, construction and environmental engineering.
• Contribute to research spanning infrastructure design, operations, resilience, and sustainable resources.
• Collaborate across disciplines to advance innovation in AI for engineering applications.
• Teach and mentor students at undergraduate and graduate levels.
• Publish in peer-reviewed venues and secure external funding.
• Engage with industry and government partners to translate research.
• Participate in departmental, college, and university service.
• Support graduate student supervision and mentoring.

Skills

Artificial intelligence

Data-driven analysis

Engineering fundamentals

Problem solving

Education

Doctorate degree

Job description

NC State University’s Department of Civil, Construction, and Environmental Engineering invites applications for an Assistant Professor position focused on AI-driven approaches to decision-making in civil infrastructure and environmental systems. This faculty role is based in Raleigh, NC, with responsibilities spanning teaching, research, and service.

We seek a candidate with a doctorate and a strong foundation in AI, data-driven modeling, and large-scale datasets, capable of advancing