Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

University of Twente

Just Landed

EngD position: AI for Underground Infrastructure Detection and Characterisation University of Twente in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Two-year full-time EngD position with a gross monthly salary of €3173, plus 8% holiday allowance, 8.3% year-end bonus, pension and health care benefits, and minimum 29 holidays per year.

Deadline

Nov 27, 2026

Country flag

Country

Netherlands

University

University of Twente

Apply for this position

Keywords

Computer Science
Data Science
Environmental Science
Remote Sensing
Artificial Intelligence
Civil Engineering
Computer Vision
Earth Science
Ground Penetrating Radar
Statistics
Geospatial Information
ML

Suggested positions

Publisher
source

University of Eastern Finland

Country flag

Finland

The University of Eastern Finland invites applications for three full-time Doctoral Researcher (PhD Student) positions in the Development of Data Science and AI for Spatial Data at the School of Computing, Kuopio campus, Finland. The positions are part of the ERC-funded MINE-THE-GAP project, which combines satellite imagery, mining reports, and artificial intelligence to map mining activities and their global environmental impacts. Each doctoral researcher will lead a thesis in one of three area...

Computer Science
Data Science
Environmental Science
+10 more

1 week ago

Publisher
source

University of Bath

Country flag

United Kingdom

Bath Engineering & Design Studentships at the University of Bath are offering a PhD project on machine learning for early warning of debris screen blockage in urban rivers . The project sits in the Department of Architecture & Civil Engineering and is led by Prof Thomas Kjeldsen . This research aims to develop new methods for forecasting debris and trash screen blockages in urban rivers, moving from reactive maintenance to proactive flood risk management. The project combines artificial intellig...

Computer Science
Data Science
Environmental Science
+7 more

4 weeks ago

Publisher
source

University of Michigan

Country flag

United States

The University of Michigan School for Environment and Sustainability (SEAS) and Dr. Tiantian Yang’s research lab are recruiting a Postdoctoral Research Fellow in Hydrology and Water Resources at the Ann Arbor Campus, United States. This postdoctoral opportunity focuses on advanced research in hydrologic modeling , flood forecasting , extreme weather prediction , snow observation , snow modeling , soil moisture data analytics , and global reservoir/lake system analysis . The role also includes mo...

Computer Science
Data Science
Environmental Science
+10 more

2 weeks ago

Publisher
source

Eindhoven University of Technology

Country flag

Netherlands

PhD opportunity at Eindhoven University of Technology (TU/e) in the Department of Built Environment, focused on data science, artificial intelligence, housing, child health, public health, and urban systems . The project investigates how poor housing conditions during pregnancy and early childhood affect children’s health and development, and how housing upgrades can improve outcomes. The research combines big data analysis, computer vision, behavioural modelling, and advanced statistical method...

Computer Science
Data Science
Environmental Science
+8 more

3 weeks ago

Publisher
source

Song Shu

University of Kansas

Country flag

United States

PhD opportunity in Remote Sensing & Hydrology at Kansas State University Associate Professor Song Shu at Kansas State University is recruiting 1–2 highly motivated PhD students to join the School of Earth & Environment, with a planned start in Fall 2027. The research group works on surface water hydrology, water resources, and water storage dynamics using satellite and UAV/drone remote sensing, GIS, AI, and advanced computational methods. Potential topics include lake and river hydrology, water-...

Computer Science
Environmental Science
Remote Sensing
+8 more

1 month ago

About this position

This EngD project at the University of Twente focuses on building AI methods for detecting underground infrastructure in ground penetrating radar (GPR) radargrams and estimating burial depth. The work builds on high-quality GPR data from the university’s Utility Mapping Site (UMS), a dedicated test environment for utility mapping technologies.

You will work on systematically collected and accurately annotated GPR datasets to develop and validate machine learning models that improve automated interpretation of subsurface features. The project aims to move beyond current partial automation by combining geospatial data, subsurface sensing, and AI to support more reliable utility mapping and safer excavation practices.

The position is embedded in the ZoARG|ReDUCE programme, a collaborative effort to reduce excavation damage to underground infrastructure in the Netherlands. The research environment is multidisciplinary, bringing together the University of Twente’s Departments of Civil Engineering and Management and Applied Earth Sciences, the UT FieldLab, and industry collaborators involved in the programme.

Your work will involve analysing existing GPR interpretation methods, exploring AI approaches for automated utility characterisation, preparing and managing large datasets, training and validating models, and comparing your results with existing literature and commercial software. The project also includes close interaction with infrastructure owners, contractors, technology providers, and researchers.

Funding details

Two-year full-time EngD position with a gross monthly salary of €3173, plus 8% holiday allowance, 8.3% year-end bonus, pension and health care benefits, and minimum 29 holidays per year.

What's required

A Master’s degree or equivalent experience in Civil Engineering, Geomatics, Computer Science, Data Science, or a related field is required. Applicants should have experience with machine learning, data analytics, or computer vision techniques, programming experience in Python, and familiarity with frameworks such as PyTorch or TensorFlow. Curiosity about geospatial data, remote sensing, subsurface sensing, or utility mapping is expected, along with strong analytical and problem-solving skills, the ability to work independently and collaborate with academic and industrial partners, and excellent communication skills with proficiency in English.

How to apply

Submit a CV, a motivation letter of up to 1.5 pages, and an overview of your MSc degree including thesis title, abstract, and grade list. Send the application by 27 November 2026 through the application link. For questions about the project or eligibility, contact the selection committee by email.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.