Postdoctoral Research Associate, School of Architecture

University of Virginia; Charlottesville (VA); On-site; USD 50,000 - 70,000; Full time

Job summary

The University of Virginia seeks a Postdoctoral Research Associate to support an interdisciplinary project examining climate-resilient affordable housing supply and policy reforms to increase it.

Based in Charlottesville, this 12-month appointment involves translating findings for developers, planners, and policymakers and analyzing how financing, tax incentives, and building codes affect durability and cost across Virginia localities.

Qualifications

• PhD awarded within the previous five years.
• Training in policy and disciplinary domains such as housing policy, architectural design, or environmental policy using mixed methods.
• Ability to collaborate across disciplines and commitment to equitable, evidence-based housing and climate policy.
• Experience with statistical analysis (regression) and software such as Stata, Python, or R.
• Preference for experience with spatial analysis methodologies including GIS, remote sensing, and geographically weighted regression.
• Background in housing policy or land use/regulatory policy preferred.

Skills

Interdisciplinary collaboration

Policy analysis

Equitable housing policy

Education

PhD or equivalent

Tools

Stata

Python

R

GIS

Remote sensing

Job description

The University of Virginia's Department of Architecture seeks a Postdoctoral Research Associate to support an interdisciplinary project examining climate-resilient affordable housing supply and the policy reforms needed to increase it. This mixed-methods role involves translating research findings for developers, planners, and policymakers, analyzing how financing, tax incentives, and building codes affect durability and cost across Virginia localities. The position is a 12-month appointment with possible renewal, based in Charlottesville and requiring on-site work.

Key qualifications

• Ph.D. or equivalent doctorate awarded within the previous five years
• Training in policy and disciplinary domains such as housing policy, architectural design, or environmental policy using mixed methods
• Ability to collaborate across disciplines and commitment to equitable, evidence-based housing and climate policy
• Experience with statistical analysis (regression analysis) and software such as Stata, Python, or R
• Preference for experience with spatial analysis methodologies including GIS, remote sensing, and geographically weighted regression
• Background in housing policy or land use/regulatory policy preferred