The College of Architecture at Texas A&M University invites applications for 3 full-time tenured/tenure-track positions at the rank of Assistant Professor, Associate Professor, or Professor in AI-Powered Planning, Design, and Construction (AI-PDC) with 9-month academic appointments to begin in Fall 2027. Each selected candidate's home department will be determined based on their expertise, preference, and departmental/college priorities. The College has three departments, including Architecture,…
Construction Science, Landscape Architecture & Urban Planning.
These faculty cluster hires, together with existing faculty, will lead Texas A&M University’s College of Architecture to become the world's leading land-grant college for AI in the built environment, advancing the responsible development and application of AI to plan, design, build, and sustain communities that are safe, healthy, prosperous, and environmentally responsible.
Through interdisciplinary research, professional education, and public engagement, we will shape how AI transforms the professions of architecture, landscape architecture, urban planning, land development, and construction. Our work will ensure that AI serves people and communities by enhancing human creativity, improving decision-making, expanding access to opportunities, strengthening infrastructure and housing systems, advancing environmental stewardship, and preparing the next generation of built environment leaders. Drawing on Texas A&M's land-grant mission, we will develop AI solutions that address real-world challenges facing communities, industries, and governments, while critically examining the societal, ethical, environmental, and economic impacts of AI itself.
The ideal candidates will have backgrounds in the disciplines represented in the College, as well as advanced knowledge of AI technologies and its applications in research, teaching, service, and/or practice across the planning, design, and construction disciplines. We are seeking candidates who bring innovative, interdisciplinary, and critical ideas and approaches to strategically grow the College’s position as a global leader in AI research, creative work, and education related to the built environment.
For this search, AI is broadly understood to include machine learning, generative AI, agentic systems, multimodal AI, and related approaches. These approaches may draw on text, imagery, spatial data, building information modeling (BIM), simulation, digital twins, and other sources of data and knowledge.
We welcome research that develops AI methods, advances their applications, or critically examines their implications for the built and natural environments. Potential areas of specialization are listed below. Candidates are expected to specialize in one or more areas; expertise across all areas is neither required nor expected.
- AI for Planning, Design, and Construction Decision Support: Development of methodologies and applications of AI to spatial analysis, forecasting, scenario development, visualization across the planning, design, and construction processes.
- AI for Sustainable, Resilient, and Healthy Communities: Use of AI to support climate adaptation, hazard mitigation, housing, infrastructure, environmental stewardship, resource management, and community well-being.
- Human-Centered, Ethical, and Equitable AI: Research on governance, policy, professional practice, public engagement, transparency, ethics, equity, trust, and the societal implications of AI.
- Intelligent Buildings, Infrastructure, and Construction Systems: AI-enabled research in structural and architectural engineering, advanced construction materials, infrastructure and construction management, robotics and automation, sensing and monitoring, safety, building energy and performance, resilience, and lifecycle management.
- AI for the Environment and Resource Systems: Research on the environmental footprint of AI, including data centers, energy demand, water use, land use, carbon impacts, and strategies to enhance sustainability and resilience.
- Education, Workforce Development, and the Future of Professional Practice: Applications of AI in education, professional training, workforce development, and the evolving roles of built environment professionals.
Successful candidates will be expected to build a visible research program around AI, work across disciplines both within and outside the College, teach AI-related courses, advise graduate students, develop new curriculum related to AI, serve as thought leaders on AI’s impacts on the built environment, and help shape the College’s strategic identity as it relates to AI.
About the College and University:
The College of Architecture at Texas A&M University is one of the nation’s largest and most comprehensive colleges focused on the built environment. With three academic departments and six research centers, the college serves more than 3,200 students across 14 degree programs with 220 faculty and staff dedicated to advancing education and research to plan, design, and build a better world. To learn more about the College of Architecture, visit www.arch.tamu.edu.
Founded in 1876, Texas A&M University is the oldest public institution of higher education in Texas and one of the largest universities in the United States. With one of the largest university endowments in the nation, Texas A&M ranks among the nation’s leading public universities in annual research expenditures. Texas A&M students are known for their strong engagement with the university and the local community. Our programs and traditions create a culture in which the university’s core values of respect, leadership, integrity, loyalty, excellence, and selfless service are embodied by its students, faculty, staff, and alumni.
Texas A&M University's VISION Supercomputer is a $45 million NVIDIA DGX SuperPOD located at the West Campus Data Center in College Station, ranked as the most powerful academic supercomputer in the United States. The VISION Supercomputer, as well as the TAMU High-Performance Research Computing facility, support A&M research initiatives in key areas, including those aligned with the planning, design, and construction disciplines, such as Generative AI applications, image processing, graphics rendering, scientific simulations, robotics enablement, among others.
About the Bryan-College Station Area:
The Bryan–College Station area offers a high quality of life at a relatively low cost of living with the convenience of a growing metropolitan area. The community combines a small town feel with a broad range of cultural, recreational, dining, and entertainment amenities for individuals and families. The area features more than 90 public parks, Lake Bryan, live music and community events, museums, and a variety of locally owned restaurants, shops, and attractions. Located in the center of the Texas Triangle, Bryan–College Station is within driving distance of Houston, Dallas–Fort Worth, Austin, San Antonio, and the Gulf Coast.
For faculty in the built environment disciplines, the region offers a meaningful setting to engage in pressing questions about climate resilience, natural hazards, transportation, demographic change, and economic development. These issues are central to the future of Texas and increasingly relevant nationwide, creating strong opportunities for impactful teaching, research, and service.
Qualifications
Minimum Qualifications:
- Ph.D. or equivalent terminal degree (e.g., Doctor of Design, Master of Architecture, Master of Landscape Architecture) in Architecture, Construction Science, Landscape Architecture, Urban Planning, and/or a discipline closely related to the built environment.
- Extensive knowledge of AI systems and applications, and the ability to integrate that knowledge into research, teaching, and service/engagement.
- Evidence of high-quality teaching and/or mentoring in a field relevant to the College of Architecture.
- Strong evidence of research productivity and impact, including publications and externally funded research, for consideration of appointment at the Associate Professor or Professor rank.
- Evidence of research productivity for consideration of appointment at the Assistant Professor rank.
Preferred Qualifications:
- Advanced degree or record of scholarship in AI, virtual or digital simulation, data science/analysis, visualization, or advanced digital systems applicable to the fields of planning, design, or construction.
- Evidence of research productivity and impact, such as publications and externally funded research, for those being considered for an Assistant Professor rank appointment.
- Professional licensure/certification in relevant planning, design, construction, or AI fields.
- Demonstrated experience with promoting and participating in collaborative interdisciplinary research and education.
- Awards or recognition for teaching, mentoring, or research related to the built environment.
Application Instructions
Interested applicants must apply through the Texas A&M University faculty job board hosted by Interfolio at apply.interfolio.com/194840 and upload the following materials:
- Cover letter
- Curriculum vitae
- Personal statement that addresses the applicant’s philosophy of teaching, research, and service, as applicable
- Contact information for three professional references, including names, addresses, telephone numbers, and email addresses
Review of applications will begin on November 1, 2026, and will continue until the position is filled.
For questions about these positions, please contact Dr. Chanam Lee, Search Committee Chair, via email: coa-facultysearch@tamu.edu.