PhD Monitor
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Civil and Materials Engineering● Open★ EU-FUNDED×3 positionsOpen until filledPreview

Doctoral Researcher in Concrete Modelling

Develop predictive life-cycle models for reused concrete elements in a fully funded 36-month PhD position.

Best for:Best for civil engineering or materials science graduates with strong modeling skills and an interest in sustainable infrastructure.

University of Luxembourg · Esch-sur-Alzette, Luxembourg · R1 · First-stage researcher
More professors at University of Luxembourg
reused concretestructural behaviordurability propertiesphysics-informed modelslife-cycle analysis
Deadline
Until filled
rolling
Funding
Salaried
€44.5k/yr
Start date
flexible
Full-time
Location
Esch-sur-Alzette
Luxembourg

Overview

The University of Luxembourg invites applications for three fully-funded PhD positions within the Sustainable Concrete Structure Laboratory, supported by the ERC project RESCUE. Successful candidates will focus on developing innovative modeling frameworks to predict the remaining service life of reused concrete elements, incorporating laboratory testing, non-destructive evaluations, and data-driven physics-informed machine learning. The project seeks candidates interested in crossing traditional discipline boundaries between civil engineering, materials science, and data science. Appointees will collaborate closely with an international research team to advance sustainable construction practices and reduce carbon emissions. Candidates are expected to actively participate in experimental campaigns, produce high-quality research outputs, and engage with professional and academic partners.

PhDconcrete structuresmaterials sciencemachine learningstructural modelingnon-destructive testing

What you'll do

  • Design and execute a comprehensive laboratory campaign focusing on full-scale reused concrete elements.
  • Develop and apply advanced non-destructive testing methods to assess material conditions.
  • Create novel data-driven and physics-informed models to predict structural capacity and remaining service life.
  • Evaluate life-cycle gains and environmental impacts to support sustainable construction practices.
  • Collaborate across civil engineering, material science, and data science disciplines within the RESCUE project.
  • Prepare research findings for publication in peer-reviewed journals and presentation at international conferences.

Requirements

Degree required: Master's degree or equivalent in civil engineering or a related field

Degree offered: PhD

Language: Excellent command of English is required; B2-level proficiency in the language of the thesis is mandatory.

Instruction: English

Publications: None strictly required, but any existing publications or work samples should be submitted.

Required skills
  • Solid understanding of structural behavior and material properties of concrete structures
  • Familiarity with the modeling of civil engineering structures
  • Demonstrated capacity for critical thinking and rigorous research ethics
  • Strong passion for scientific research and multidisciplinary collaboration
Nice to have
Prior knowledge or research experience regarding concrete reuseBackground in probabilistic modeling, machine learning, or multi-scale analysisExperience with life-cycle analysis methodologies
Eligibility
  • Applicants must hold or be about to complete a Master's degree in a relevant discipline.

Funding & terms

Type
Salaried
Amount
€44.5k/yr
Duration
36 months
Programme
RESCUE
EU-FUNDEDERC

How to apply

Candidates must submit their applications formally online through the university HR system. Applications sent via email will not be considered. Early applications are strongly encouraged as they will be processed upon receipt.

Documents required
  • CV
  • Cover letter
  • Transcript of all modules and results from university-level courses taken
  • List of publications or work samples
  • PDF version of Master Thesis with English abstract
↗Apply on site

Contact

Lab
Sustainable Concrete Structure Laboratory
University of Luxembourg
RESCUELuxembourg
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