Tatiana Filatova
Top university
2 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Fully Funded PhD in Climate-Sensitive Housing Markets, Mortgage Resilience, and Agent-Based Modeling at TU Delft Delft University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Both positions are fully funded 4-year PhD positions at TU Delft. Salary follows the Dutch university collective agreement, increasing from €3059 to €3881 gross per month over four years for a full-time 38-hour contract, plus 8% holiday allowance and an 8.3% end-of-year bonus. The positions include employment contracts, Graduate School enrollment, and standard TU Delft benefits such as health insurance discounts and a monthly work costs contribution.
Deadline
Expired
Country
Netherlands
University
Delft University of Technology
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
Two fully funded PhD positions are available at Delft University of Technology (TU Delft) in the area of climate risk, housing markets, mortgage portfolios, and agent-based modeling. The projects examine how physical climate hazards such as floods and drought-induced foundation damage affect property values, homeowner inequality, bank balance sheets, and broader financial stability.
The first PhD, Systemic Risk in Climate-Sensitive Housing Markets, is part of the ERC SPHINX project and focuses on climate-induced flood risk in three European case studies. The work involves developing theory- and data-grounded agent-based models (ABMs) of housing markets, linking them to macroeconomic modeling, and conducting systematic sensitivity analysis. The selected candidate will be supervised by Martijn Warnier, Theodoros Chatzivasileiadis, and Tatiana Filatova.
The second PhD, Strengthening Mortgage Portfolio Resilience to Physical Climate Risks, is based in the Faculty of Technology, Policy and Management and focuses on the Netherlands. It studies how climate risks propagate from homes to mortgage portfolios and how different climate-risk owners and mitigation instruments can reduce damages and inequality. This project also uses ABMs, stakeholder engagement, and a tailored homeowner survey, with collaboration across TU Delft and the financial sector. Supervisors include Theodoros Chatzivasileiadis, Zac Taylor, and Tatiana Filatova.
Eligibility highlights: MSc-level background in computational science, economics, geography, spatial/environmental/financial economics, engineering & policy analysis, or a related field; strong programming skills (Python, Julia, etc.); experience with statistical/econometric analysis; ABM experience is especially important for the mortgage-resilience project; GIS/spatial modeling is an asset; fluent English required. Dutch is not obligatory.
Funding: both positions are fully funded 4-year PhDs with TU Delft salary and benefits. Salary ranges from €3059 to €3881 gross per month, plus holiday allowance and end-of-year bonus.
Application windows: the first PhD deadline is 2026-06-22; the second PhD deadline is 2026-06-28. Applicants should apply online and submit a motivation letter, CV, and relevant publications/software outputs if applicable, plus reference contacts.
Funding details
Both positions are fully funded 4-year PhD positions at TU Delft. Salary follows the Dutch university collective agreement, increasing from €3059 to €3881 gross per month over four years for a full-time 38-hour contract, plus 8% holiday allowance and an 8.3% end-of-year bonus. The positions include employment contracts, Graduate School enrollment, and standard TU Delft benefits such as health insurance discounts and a monthly work costs contribution.
What's required
Applicants should have an MSc in Computational Science, Geography, Spatial Economics, Environmental Studies, Engineering & Policy Analysis, Economics, Spatial/Environmental/Financial Economics, Complex Systems, or a closely related field. Strong programming skills in Python, Julia, or similar scientific languages are required, along with experience in statistical or econometric data analysis. Prior experience with agent-based modeling is a core requirement for the second PhD and beneficial for the first; experience with spatial modeling and GIS is an asset. Domain interest in climate risk, housing and mortgage markets, financial stability, coupled social-environmental systems, or global environmental change is advantageous. Candidates should have solid problem-solving skills, initiative, willingness to engage with stakeholders and survey design, and fluent written and spoken English. Dutch is not obligatory.
Ask ApplyKite AI
Professors
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.