The University of Luxembourg is a multilingual, international research university.
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/.
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.
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.
Your primary tasks as a DRIVEN fellow are to:
Your lead supervisor will be Prof. Dr. Olivier Francis. Further supervision will be provided by Dr. Jack Hale.
Before proceeding with the submission of your application, please prepare the following documents.
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.
Candidates will be shortlisted based on the criteria detailed above. Shortlisted candidates will be invited for an interview and/or interviewed by phone.
The University of Luxembourg is an equal opportunity employer.
Please see the Foreign Researcher’s Guide to Luxembourg for more information on research employment in Luxembourg and the procedures that apply.
Deadline for applications: 30/11/2019Apprenez-en davantage
|Intitulé||DRIVEN PhD Fellow (Doctoral Candidate) positions (m/f)|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Publié||octobre 2, 2019|
|Date limite d'inscription||novembre 30, 2019|
|Types d'emploi||PhD  |
|Domaines de recherche :||Génie civil,   Mathématiques appliquées,   Physique numérique,   Génie mécanique,   Mécanique,   Mathématiques informatiques,   L'ingénierie numérique  |