Joshua Darville, PhD
Research Scientist
Civil Engineering Dept.
University of Virginia
Joshua Darville, PhD
Research Scientist
Civil Engineering Dept.
University of Virginia
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Research Scientist
Civil Engineering Dept.
University of Virginia
Joshua Darville is a data scientist and housing-energy systems researcher at the University of Virginia in Charlottesville, VA. He specializes in the integration of machine learning, optimization, and policy analysis to address complex challenges at the intersection of energy affordability and grid resilience. With a PhD in Industrial Engineering from the University of Miami and industry experience in quantitative finance, he brings a unique interdisciplinary perspective to problems in housing and energy systems. His research is grounded in both technical rigor via quantitative methods and social impact via qualitative feedback from the targeted community. He is also an advocate for diversity in STEM, drawing from his experience as a proud HBCU graduate and NASA student launch team captain.
Joshua Darville is a data scientist and housing-energy systems researcher at the University of Virginia in Charlottesville, VA. He specializes in the integration of machine learning, optimization, and policy analysis to address complex challenges at the intersection of energy affordability and grid resilience. With a PhD in Industrial Engineering from the University of Miami and industry experience in quantitative finance, he brings a unique interdisciplinary perspective to problems in housing and energy systems. His research is grounded in both technical rigor via quantitative methods and social impact via qualitative feedback from the targeted community. He is also an advocate for diversity in STEM, drawing from his experience as a proud HBCU graduate and NASA student launch team captain.
Hiring PhD Students
Hiring PhD Students
Research Focus
Research Focus
We develop AI-driven solutions for critical infrastructure challenges:
Smart Energy Grids (Renewables integration, outage prediction)
Sustainable Housing (Supply-demand balance, Subsidy design)
Preferred Technical Skills
Preferred Technical Skills
Python, GitHub
Optimization tools (e.g.. Pyomo, AMPL)
Technical writing
Why Apply?
Why Apply?
Your education feeds your competence, your competence then feeds your confidence, and your confidence allows you to display what makes you unique.
Academic Profile
Academic Profile
BS/MS in any Engineering field (Industrial Engineering preferred)
Juniors and Seniors (Fellowships receive priority)
Strong quantitative background (GPA ≥ 3.3+ preferred)
GRE Quantitative ≥ 160 (or equivalent)
How to Apply
How to Apply
Email inquiries to Dr. Joshua Darville @ ckt7xw@virginia.edu
Subject line: Ph.D. Application - [Your Name]
Attach CV (highlight relevant projects)
Attach Unofficial transcripts
Write research statement (<500 words)
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