PhD in Uncertainty-Driven Building Renovation Modelling

Delft; Delft; On-site; EUR 34,000 - 43,000; Full time

Benefits offered by this job

EU funded project CLIMABUILD

Relocation assistance

Job summary

FUTH Delft University of Technology invites applications for a PhD position focused on uncertainty-based life-cycle modelling for building renovation decision-making. The researcher will develop probabilistic frameworks, perform Monte Carlo analyses, and integrate climate risks, indoor comfort, and sustainability objectives into a unified decision-support tool.

The project spans 48 months, with collaboration across three research groups and international partners.

Qualifications

• MSc degree as specified in the requirements.
• Knowledge in building performance simulation, lifecycle assessment, or climate resilience is expected.
• Experience with programming and data analysis (e.g., Python) is required.
• Proven English communication skills demonstrated by TOEFL/IELTS scores.

Responsibilities

• Develop probabilistic life-cycle modelling methods for renovation decision-making.
• Collaborate with research groups within TU Delft and industry partners.
• Validate methods via multi-climate demonstration cases within CLIMABUILD.

Skills

MSc degree in Building Technology or a

Python programming

Analytical skills

Education

MSc degree in Building Technology, Civil Engineering, Architectural Engineering, or related

Tools

Python

Job description

FUTH Delft University of Technology invites applications for a PhD position focused on uncertainty-based life-cycle modelling for building renovation decision-making. The researcher will develop probabilistic frameworks, perform Monte Carlo analyses, and integrate climate risks, indoor comfort, and sustainability objectives into a unified decision-support tool.

The project spans 48 months, with collaboration across three research groups and international partners.