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Environmental Chemistry● OpenOpen until filledPreview

Doctoral Researcher in Environmental Chemistry

Join an interdisciplinary project developing AI-powered early-warning systems for emerging contaminants in water.

Best for:Best for candidates with a background in environmental chemistry and an interest in applying AI to water quality monitoring.

University of Luxembourg · Esch-sur-Alzette, Luxembourg · R1 · First-stage researcher
More professors at University of Luxembourg
Environmental ChemistryArtificial IntelligenceMachine LearningMass SpectrometryWater TreatmentCheminformatics
Deadline
Until filled
rolling
Funding
Salaried
€44.5k/yr
Start date
flexible
Fixed-term
Location
Esch-sur-Alzette
Luxembourg

Overview

The University of Luxembourg is seeking a motivated PhD candidate to join the AI4TECS project within the Luxembourg Centre for Systems Biomedicine. This research initiative focuses on creating an AI-driven framework for the real-time identification and treatment of emerging contaminants in water systems. The successful candidate will work within the Environmental Cheminformatics group, collaborating closely with computer scientists to integrate non-target high-resolution mass spectrometry data with toxicity prediction models. This role involves both laboratory-based analytical work and computational data analysis to support the development of advanced environmental monitoring tools.

PhDEnvironmental ScienceNon-target screeningHRMSWater qualityAI4TECS

What you'll do

  • Conduct retrospective analysis on environmental datasets to test early warning capabilities.
  • Design non-target workflows for identifying emerging contaminants and transformation products in wastewater.
  • Optimize analytical workflows for long-term performance assessment of wastewater pilot systems.
  • Generate and validate high-quality data to train AI-powered early warning systems.
  • Collaborate with interdisciplinary team members, including computer scientists and engineers.
  • Publish research findings in leading journals and present at scientific meetings.
  • Write a doctoral dissertation in natural sciences.

Requirements

Degree required: Master's degree in environmental science, engineering, cheminformatics, or a closely related field.

Degree offered: PhD

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

Instruction: English

Required skills
  • Solid background in environmental chemistry.
  • Experience or strong interest in non-target screening using high-resolution mass spectrometry (HRMS).
  • Strong analytical and problem-solving abilities.
  • Ability to engage in interdisciplinary research with computer scientists and engineers.
  • Proactive and self-driven approach to research.
Nice to have
Experience with wastewater treatment pilot systems.Knowledge of machine learning applications in environmental science.Working knowledge of Luxembourgish, French, or German.
Eligibility
  • Must hold a Master's degree in a relevant field.
  • Must meet the University of Luxembourg's doctoral admission requirements.

Funding & terms

Type
Salaried
Amount
€44.5k/yr
Duration
36 months
Programme
IAS Audacity project AI4TECS
University of Luxembourg

How to apply

Applications must be submitted formally through the university's online HR system. Please include a CV, a cover letter detailing your motivation and alignment with the project, academic transcripts, and the contact information for three referees.

Documents required
  • CV
  • Cover letter
  • University transcripts
  • 3 reference letters
↗Apply on site

Contact

ES
Prof.
Emma Schymanski
Luxembourg Centre for Systems Biomedicine
Lab
Environmental Cheminformatics (ECI) group
University of Luxembourg
IAS Audacity project AI4TECSLuxembourg
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