University of Luxembourg

Research Associate (Postdoc) in Computer Science for Low-code tools in artificial Intelligence

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SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role...

This is a fully funded Postdoc position for 12 months (possible extension(s) up to 5 years in total). The position holder will be involved in the National Centre of Excellence in Research in Financial Technologies (“NCER-FT”) project. The topic is about enabling the power of machine learning in banking and finance for people without the necessary maths and/or data/computer science background. A low-code tool for finance people. The position requires skills in both machine learning and software engineering.

The NCER-FT aims to establish a Centre of Excellence in Research in Financial Technologies to strengthen Luxembourg’s position as an innovative financial hub by attracting talents and provide world class research and education.  The successful candidate will be working closely with Prof. Mats Brorsson (SEDAN research group, SnT, University of Luxembourg), Prof and Dr Szofia Kräussl (Faculty of Law, Economics and Finance, University of Luxembourg) and other team members. She/He will:

  • Carry out applied research on and develop:
    • Low/no code Machine learning tools to perform
      • Data exploration
      • Data fusion
      • Machine learning algorithms

                      In the Finance/Banking domain

    • Data privacy concerns 
  • Publish results in high-quality journals and conferences
  • Work together with students and researchers at Department of Finance who will act as end-users.
  • Provide guidance to PhD students
  • Disseminate results through scientific publications.
  • Collaborate with stakeholders in grant and industry funded projects.

Your Profile...

  • A PhD degree in Computer Science, Software engineering or a related field
  • Demonstrated experience in publishing high-quality research
  • Highly experienced in one or more of the following topics:
    • Machine Learning / Deep Learning
    • Applied Mathematics
    • Data science
    • Software engineering
  • Experience with European projects (FP7/H2020), national/international projects and/or industrial projects
  • Commitment, team working and a critical mind
  • Strong development skills in Python, C++, and/or Rust
  • Familiarity with deep learning frameworks such as Pytorch and Tensorflow
  • Fluent written and verbal communication skills in English are mandatory

Knowledge of French, German, or Luxembourgish is not required.

Here’s what awaits you at SnT...

  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
  • Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

Find out more about us!

In Short...

  • Contract Type: Contrat à durée déterminée 12 Mois (with a possibility to extend)
  • Work Hours: Full Time 40.0 Heures par Semaine
  • Location: Kirchberg
  • Job Reference: UOL05346

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 full time

How to apply...

Applications should include:

  • Curriculum Vitae including contact address
  • List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
  • Name, affiliation, and contact details of three referees
  • Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)

Further: For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation. Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one); if you have not yet received your PhD but will do soon, please include a tentative graduation date.

All qualified individuals are encouraged to apply.

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.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information, please contact: Dr. Mats Brorsson (

Job details

Research Associate (Postdoc) in Computer Science for Low-code tools in artificial Intelligence
2, avenue de I'Universite Belvaux, Luxembourg
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