EngD: AI for Underground Infrastructure Mapping

Karlstad University; Enschede; On-site; EUR 32,000 - 39,000; Full time

Benefits offered by this job

Two-year EngD position

Pension and health care benefits

Tailor-made post-master programme (40%

design project (60%)

Gross monthly salary of €3173

Annual holiday allowance 8% of gross,

Year-end bonus 8.3%

Mentorship for professional/personal成长

EngD degree and KIVI registration

Job summary

University of Twente seeks an EngD candidate to develop AI for automatic detection and characterization of underground infrastructure in GPR radargrams. The role combines geospatial sensing, AI, and practical measurement practices within the ZoARG|ReDUCE programme.

You will work across civil engineering, AES, and industry partners to validate models and translate findings into safe excavation practices.

Qualifications

• Master’s degree or equivalent in a related field is required.
• Experience with machine learning, data analytics, or computer vision techniques.
• Programming in Python and familiarity with ML frameworks (PyTorch, TensorFlow).
• Interest in geospatial data, remote sensing, subsurface sensing, or utility mapping.
• Strong analytical and problem-solving skills; able to work independently and with partners.

Responsibilities

• Analyse existing GPR interpretation methods and ML techniques.
• Explore AI approaches for automated utility characterization.
• Prepare and manage large GPR datasets collected at UT FieldLab.
• Design, train, and validate ML models for interpreting radargrams.
• Compare models with literature and commercial software.
• Collaborate with infrastructure owners, contractors, and researchers.
• Report findings and translate results into practical recommendations.

Skills

Machine learning experience

Data analytics

Geospatial interests

Analytical thinking

English communication

Education

Master’s degree or equivalent (Civil Engineering, Geomatics, CS, Data Science)

Tools

Python

PyTorch

TensorFlow

Geospatial software

Job description

University of Twente seeks an EngD candidate to develop AI for automatic detection and characterization of underground infrastructure in GPR radargrams. The role combines geospatial sensing, AI, and practical measurement practices within the ZoARG|ReDUCE programme.

You will work across civil engineering, AES, and industry partners to validate models and translate findings into safe excavation practices.