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University of Luxembourg

Postdoctoral Researcher in Machine Learning

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About the FSTM

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM
seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.

The Department of Mathematics (DMATH) of the University of Luxembourg has an opening for a Postdoctoral researcher in machine learning position to start in September 2025. The researcher will be under the guidance of Prof. Ivan Nourdin.

Your role

  • Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications
  • Disseminate research findings at international conferences and through high-quality publications
  • Contribute to teaching activities with up to 2-4 hours of lectures or tutorials per week
  • Actively support the organization in research group activities led by Prof. Ivan Nourdin, as well as contribute to the broader initiatives within the Department of Mathematics (DMATH)


For further information, please contact Prof. Ivan Nourdin by email:

Your profile

  • PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics
  • Research experience in at least one of the following topics: deep learning, reinforcement learning, probabilistic modeling, statistical learning, neural networks, or other related fields
  • Interest in interdisciplinary work is an asset
  • Experience in programming languages such as Python or R
  • Autonomous worker with strong organizational and analytical skills
  • Very good written and oral communication skills in English
  • Ability to integrate into a team and collaborate effectively with its members

We offer

  • Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
  • A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
  • A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

  • Curriculum Vitae
  • Cover letter (statement of research interest) of no more than 1 page
  • Transcript of academic records and copies of diplomas
  • 2 recommendation letters

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

  • Contract Type: Fixed Term Contract 36 Month
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Campus Belval
  • Internal Title: Postdoctoral researcher
  • Job Reference: UOL07240

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).

Job details

Title
Postdoctoral Researcher in Machine Learning
Location
Esch-sur-Alzette, Luxembourg
Published
2025-03-26
Application deadline
Unspecified
Job type
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The University of Luxembourg, a small-sized institution with an international reach, aims at excellence in research and education.

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