EngD: AI for GPR-Based Underground Utility Mapping

Utwentecareers

Netherlands

Remote

EUR 36,000 - 42,000

Full time

14 days+
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Benefits offered by this job

Pension and health care
Tailor-made post-master programme
EngD degree upon completion
8% holiday allowance
8.3% year-end bonus
29 holidays per year
Campus facilities access

Job summary

University of Twente seeks a highly motivated EngD candidate to develop AI models for detecting underground infrastructure in GPR radargrams and estimating depth. You will work within ZoARG|ReDUCE programme, collaborating with UT departments and industry partners on data-rich problems and practical measurement recommendations.

The role offers a two-year full-time EngD position, pension and health care benefits, and a tailor-made post-master programme combining research with education and

Qualifications

  • Master's degree or equivalent in Civil Engineering, Geomatics, Computer Science, Data Science, or related field.
  • Experience with machine learning, data analytics, or computer vision techniques.
  • Programming in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.

Responsibilities

  • Analyse existing GPR interpretation methods and ML techniques.
  • Explore and evaluate AI approaches for automated utility characterization.
  • Prepare and manage large GPR datasets from the Utility Mapping Site.
  • Design, train and validate ML models for interpreting GPR radargrams.
  • Compare developed models with literature and commercial software.

Skills

Machine learning
Data analytics
Python
PyTorch
Geospatial data

Education

Master's degree or equivalent

Tools

PyTorch
TensorFlow

Job description

University of Twente seeks a highly motivated EngD candidate to develop AI models for detecting underground infrastructure in GPR radargrams and estimating depth. You will work within ZoARG|ReDUCE programme, collaborating with UT departments and industry partners on data-rich problems and practical measurement recommendations.

The role offers a two-year full-time EngD position, pension and health care benefits, and a tailor-made post-master programme combining research with education and

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