PhD position H/F : Pipeline leak detection using electromagnetic scanning powered by distributed AI (LEAK-SCAN)
Lingolsheimhybrid$121K – $162K
Posted 3w ago · via Recruitee
About this role
Research Work Scientific Context Water leakage in urban underground pipelines can not only bring economic loss due to the wastage, but also can lead to structural damages of roads and buildings, which brings severe problems in the city infrastructure management. Addressing these issues requires efficient detection to minimize the impact on public safety. There are several methods for detecting water leaks, such as pressure/flow sensors or fiber optics, but they require sensors to be installed in advance. To complete the existing techniques, in this study, we will explore the application of ground penetrating radar (GPR) to detect underground water leakage, because GPR is non-destructive and high-efficient way.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: r, fiber, iam, pytorch, tensorflow…
2
Level fit
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3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Lingolsheim. We weight your proximity and willingness to relocate.
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Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
rfiberiampytorchtensorflowteamsgong
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