PhD in Climate Adaptation Analytics & Agent-Based Modeling

Delft University of Technology; Delft; On-site; EUR 35,000 - 42,000; Full time

Job summary

Delft University of Technology invites applications for a four-year PhD position focused on climate change adaptation. You will bridge empirical household survey data with advanced Agent-Based Modeling to assess adaptation effectiveness across multiple European contexts.

The role combines survey development and ABM development, with a strong emphasis on open science and international collaboration within TPM and the ADELE project.

Qualifications

• We are looking for a motivated researcher with a Master’s degree in a relevant field and strong data analysis skills.
• Experience with surveys, statistics, and ABM or programming in Python/Julia is essential.
• Excellent teamwork and written/spoken English are required.

Responsibilities

• Develop and deploy a structured household survey across European case studies to assess adaptation effectiveness.
• Analyze survey data to identify soft limits and conditions for private adaptation.
• Translate empirical results into modular ABM components for scenario analysis.
• Collaborate with an international team and contribute to open science through software modules.

Skills

Data analysis

Statistical methods

Survey design

ABM programming

Teamwork

English fluency

Education

Master's degree in Environmental Economics

Master's degree in Psychology

Master's degree in Complex Systems

Master's degree in Engineering & Policy Analysis

Tools

Python

Julia

Agent-Based Modeling

Job description

Delft University of Technology invites applications for a four-year PhD position focused on climate change adaptation. You will bridge empirical household survey data with advanced Agent-Based Modeling to assess adaptation effectiveness across multiple European contexts.

The role combines survey development and ABM development, with a strong emphasis on open science and international collaboration within TPM and the ADELE project.