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University of Luxembourg
PRIDE PhD Fellow data-driven modelling approaches
University of Luxembourg
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international, multilingual and interdisciplinary character.
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JOB DETAILS
Published: 1 month ago
Application deadline: Unspecified
Location: Luxembourg, Luxembourg
Please mention that you found this job on Academic Positions when applying.
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PRIDE PhD Fellow data-driven modelling approaches

The University of Luxembourg (UL) and Luxembourg Institute of Socio-Economic Research (LISER) invite applications for a DRIVEN PhD Fellow (Doctoral Candidate) position (m/f) as part of the DRIVEN Doctoral Training Unit (https://driven.uni.lu), consisting of 19 doctoral candidates. DRIVEN is funded by the FNR PRIDE funding instrument https://www.fnr.lu/funding-instruments/pride/.

PRIDE PhD Fellow Ref: DRIVEN

  • 14 months fixed-term contract, renewable up to 3 years, full-time (40h/week).
  • Employee and student status.
  • Enrollment in the DRIVEN Doctoral Training School
  • Ref 50013528
Your Role

You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE scheme. The Computational and Data DRIVEN Science DTU will train a cohort of 19 Doctoral Candidates who will develop data-driven modelling approaches common to a number of applications strategic to the Luxembourgish Research Area and Luxembourg’s Smart Specialisation Strategies. DRIVEN will build a bridge between state-of-the-art data driven modelling approaches and particular application domains, including Computational Physics and Engineering Sciences, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences.

Your primary tasks as a DRIVEN fellow are to:

  • Manage and drive forward your research project.
  • Attend doctoral school courses, trainings and social events.
  • Write scientific articles and your PhD thesis.
  • Disseminate your research at conferences and seminars
Your Profile
  • Master’s degree in Computational Sciences, Data Sciences, Applied Mathematics, or in a scientific field represented by DRIVENs research clusters.
  • Profound knowledge of Statistical Analysis, Machine Learning, Advanced Data Science and Data Visualisation.
  • Experience with Python/C++ programming in distributed computing contexts and associated software development environments.
  • Good English language and communication skills.
  • Willingness to work in an inter-cultural and international environment.
  • Ability to work independently and as part of a team.
  • Curiosity and self-motivation.
We offer
  • A dynamic and well-equipped research environment within the supervisor’s department .
  • Intensive training in scientific and transferable skills, participation in schools. conferences and workshops.
  • Fixed term employee contracts totalling 48 months, subject to review, at UL or LISER.
  • Enrollment as a PhD student in the DRIVEN Training Unit, within an appropriate the UL doctoral school, e.g. Doctoral School of Science and Engineering.
  • Personal work space at UL or LISER.
Further Information
  • Gender policy:

UL strives to increase the proportion of female PhD students in its faculties. Therefore, we explicitly encourage women to apply.

Application submission:

Before proceeding with the submission of your application, please prepare the following documents.

  • Curriculum vitae (maximum two pages).
  • Motivation letter (maximum two pages) detailing how you meet the selection criteria for the given research direction as described on the project website (https://driven.uni.lu).
  • Publication list (if any) and PDFs of those publications.
  • Master’s thesis (final or draft, if draft, then state the expected submission date).
  • Full contact details of two persons willing to act as referees.
  • Copies of diplomas, transcripts with grades, with English, French or German translation.

All documents should be uploaded in PDF format via the online submission system (no applications via email, please). Please note that incomplete applications will not be considered.

Selection process:

Candidates will be shortlisted based on the criteria detailed above. Shortlisted candidates will be invited for an interview and/or interviewed by phone.

Research work in Luxembourg:

Please see the Foreign Researcher’s Guide to Luxembourg for more information on research employment in Luxembourg and the procedures that apply.

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