Digital Twin Scientist - Flood-Resilient Infrastructure

Delft University of Technology; Delft; On-site; EUR 42,000 - 60,000; Full time

Job summary

Delft University of Technology in Delft, Netherlands, invites applications for a research-focused position to develop Digital Twin modules for flood risk analysis.

You will combine physics-based and machine learning approaches, validate results on infrastructure datasets, and implement solutions in end-user platforms.

We value MSc in related field, strong modelling and programming skills in Python/SQL/Java, and experience engaging with external partners.

Qualifications

• MSc degree required in Civil Engineering, Computer Science or Hydro-informatics.
• Strong modelling, data management and ML knowledge.
• Proven track record with scientific writing.

Responsibilities

• Develop functional modules for Digital Twins such as risk analysis and scenario modelling.
• Develop hybrid physics-based / machine learning modelling for flood risk.
• Integrate functionalities into end-user platforms.
• Co-organise workshops and coordinate stakeholder engagement.
• Prepare reports and disseminate findings to partners.

Skills

Numerical modelling

Hydrodynamic simulation

Data management

Machine learning

Scientific reporting

Communication with stakeholders

Education

MSc degree in Civil Engineering, Computer Science or Hydro-informatics

Tools

Python

SQL

Java

PyTorch

Job description

Delft University of Technology in Delft, Netherlands, invites applications for a research-focused position to develop Digital Twin modules for flood risk analysis.

You will combine physics-based and machine learning approaches, validate results on infrastructure datasets, and implement solutions in end-user platforms.

We value MSc in related field, strong modelling and programming skills in Python/SQL/Java, and experience engaging with external partners.