Publisher
source

Rochester Institute of Technology

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

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Country

United States

University

Rochester Institute of Technology

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Keywords

Computer Science
Data Science
Environmental Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Urban Planning
Civil Engineering
Spatial Analysis
Agent-based Modeling
Climate Resilience
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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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