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
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:
UL strives to increase the proportion of female PhD students in its faculties. Therefore, we explicitly encourage women to apply.
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.
Please see the Foreign Researcher’s Guide to Luxembourg for more information on research employment in Luxembourg and the procedures that apply.Continue reading
|Title||PRIDE PhD Fellow data-driven modelling approaches|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||September 14, 2018|
|Application deadline||Unspecified deadline|
|Job type||PhD  |
|Fields||Statistics,   Distributed Computing,   Programming Languages,   Applied Mathematics,   Computational Sciences,   Machine Learning  |