EngD Position in AI Underground Infrastructure Detection and Characterisation
Listed on 2026-10-22
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Engineering
AI Engineer (Applied/Software), Computer Science
University of Twente
Overijssel, Netherlands
Apply by 27 Nov 2026
About This OpportunityThe University of Twente is recruiting an EngD candidate to develop AI methods for detecting and characterising underground infrastructure from ground-penetrating radar data. Applications close on 27 November 2026.
The two-year Engineering Doctorate project develops machine-learning approaches for underground-infrastructure detection and characterisation using ground-penetrating radar and related field data. The work combines applied AI, computer vision and geospatial or subsurface sensing within a professional-doctorate setting.
Attendance Field-based
Time Commitment Full-time
Duration Two-year full-time EngD appointment.
Field AI for Underground Infrastructure Detection
Specialization Artificial Intelligence & Data Science
Organization Type University
Funding & CompensationAmount EUR 3,173 / Per Month
Funding Type Salary
Funding Status Paid
Period Per Month
Requirements- Education Applicants should hold a Master's degree in civil engineering, geomatics, computer science, data science or a closely related field.
- Experience A background in machine learning, data analysis or computer vision is relevant to the project.
- Technical Skills Machine learning Computer vision Python PyTorch Tensor Flow Ground-penetrating radar
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