Rochester Institute of Technology
1 month ago
Fully Funded PhD Positions in AI, GIS, Climate Resilience, and Sustainable Urban Systems at Rochester Institute of Technology Rochester Institute of Technology in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD positions are fully funded. Doctoral students typically receive full tuition plus a Graduate Research Assistantship or Teaching Assistantship with a stipend, contingent on satisfactory academic and research progress.
Deadline
Jan 1, 2027
Country
United States
University
Rochester Institute of Technology

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About this position
Rochester Institute of Technology (RIT) is advertising two fully funded PhD positions for Spring or Fall 2027 in the Adaptive Urban Resilience and AI (AURA) research environment.
The project sits at the intersection of Artificial Intelligence, GIS, climate resilience, infrastructure, and sustainable urban systems. Research themes include AI agents and human-centered computational modeling, urban and infrastructure resilience, and building and energy resilience.
Ideal applicants come from Civil Engineering, Architectural Engineering, Industrial Engineering, Computer Science, Data Science, Building Science, or related fields. Preferred skills include Python/R, machine learning/LLMs, GIS/spatial analysis, agent-based modelling, building energy modelling, and behavioural data analysis.
Funding is described as fully funded, with doctoral students typically receiving full tuition plus a Graduate Research Assistantship or Teaching Assistantship with a stipend, subject to satisfactory academic and research progress.
To apply, email [email protected] with the subject line: PhD Applicant – [Your Name] – [Spring/Fall 2027]. Attach a CV/resume, unofficial transcripts, and a one-page research statement explaining your interests, experience, and fit with the AURA Lab.
Funding details
The PhD positions are fully funded. Doctoral students typically receive full tuition plus a Graduate Research Assistantship or Teaching Assistantship with a stipend, contingent on satisfactory academic and research progress.
What's required
Applicants should have a background in Civil Engineering, Architectural Engineering, Industrial Engineering, Computer Science, Data Science, Building Science, or a related discipline. Preferred experience includes Python or R, machine learning or LLMs, GIS/spatial analysis, agent-based modelling, building energy modelling, and behavioural data analysis. Strong candidates should show quantitative ability, programming competence, and a clear research fit with AI, spatial data, climate risks, and resilient human systems.
How to apply
Email [email protected] with the subject line “PhD Applicant – [Your Name] – [Spring/Fall 2027]”. Include a CV/resume, unofficial transcripts, and a one-page research statement describing your interests, experience, and fit with the AURA Lab.
More information can be found here
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