DRIVEN PhD Fellow (Doctoral Candidate) positions (m/f)
Université du Luxembourg
Luxembourg, Luxembourg
il y a 3j

Framework :

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.

Research direction :

In the research direction Gravity Field estimation within the field of Computational Mechanics, the Doctoral Candidate will develop an algorithm to compute the direct gravitational attraction due to the water in an artificial reservoir in Luxembourg.

Gravity measurements are carried out in a gallery below the reservoir. The objective is to estimate universal gravitational constant G .

From the measured gravity changes, the size and dimension of the reservoir and from the water level variations, G is obtained by a simple inversion.

However, the water mass gravitational effect must be computed with high accuracy. Visualization and animation tools will play a big role in the study.

Moreover, the essential and primordial aspect will be to provide a complete accuracy assessment. Key parameters controlling the precision and accuracy of the results will have to be thoroughly investigated through extensive simulations and sensitivity studies.

Job description :

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.
  • Supervision :

    Your lead supervisor will be Prof. Dr. Olivier Francis. Further supervision will be provided by Dr. Jack Hale.

    Your Profile

  • Master's degree in Computational Engineering, Physics, Applied Mathematics, Civil or Mechanical Engineering.
  • Knowledge of advance visualisation tools.
  • Experience with Python / C++ programming and related software development environments.
  • Good English language skills (a certified level B2 is the minimum required, while level C1 is a plus).
  • 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 Department of Computational Engineering and Sciences.
  • Intensive training in scientific and transferable skills, participation in schools, conferences and workshops.
  • Fixed term employee contract totalling 48 months, subject to review, at UL.
  • Enrolment 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 workspace at UL.
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