Postdoc Researcher In Digital Twin Development (AI)

TL;DR

Postdoc Researcher (AI/Data Science): Developing advanced digital twins for railway crossing asset management with an accent on surrogate models and machine-learning-based prediction tools. Focus on creating optimization routines for crossing geometry profiles and implementing data-driven tools in Python.

Location: Must be based in or be able to relocate to Delft, Netherlands

Salary: €3,546 – €5,538 per month

Company

hirify.global is a top international university combining science, engineering, and design to address global challenges in energy, climate, and mobility.

What you will do

• Develop fast surrogate models and machine-learning-based tools for wheel–rail interaction and crossing degradation prediction.
• Create optimization routines for crossing geometry profiles using 3D scan inspection data to improve maintenance strategies.
• Develop and implement numerical and data-driven tools in Python for digital twin applications and engineering workflows.
• Validate developed models and integrate them into the XCROSS digital twin framework in collaboration with project partners.

Requirements

• PhD or relevant degree in Mechanical Engineering, Applied Mathematics, Computer Science, or a related field.
• Strong background in surrogate modelling, digital twin development, and numerical simulation.
• Proficiency in programming languages such as Python, MATLAB, or similar.
• Demonstrated ability to conduct independent research and publish findings in peer-reviewed journals.
• Proof of English language proficiency (TOEFL, IELTS or Cambridge) required.

Nice to have

• Experience with FEM and/or Multi-body software for dynamic simulations.
• Experience in project management.

Culture & Benefits

• Customizable compensation package and discounts on health insurance.
• Monthly work costs contribution.
• Flexible work schedules.
• Comprehensive relocation support via the Coming to Delft Service, including a Dual Career Programme for partners.

Hiring process

• Submission of CV, cover letter, PhD/MSc degrees, thesis abstracts, and a publication list.
• Provision of two selected publications.
• Knowledge security risk assessment conducted during the final stages of recruitment.