The University of Luxembourg (UL) and Luxembourg Institute of Socio-Economic Research (LISER) invite applications for a DRIVEN PhD Fellow (Doctoral Researcher) position (m / f) as part of the DRIVEN Doctoral Training Unit (), consisting of 19 doctoral candidates.
DRIVEN is funded by the FNR PRIDE funding instrument
PRIDE PhD Fellow doctoral researcher (m / f)
Project funding available for up to 48 months
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.
The Computational Biology Group seeks a highly skilled and motivated , using machine learning and statistical analysis approaches, to design models for tissue regeneration.
In particular, these models will be based on single cell RNA-seq data, and are intended to predict key genes and pathways for inducing regeneration in brain tissues with the purpose of designing cell therapy strategies for Parkinson’s disease.
The selected candidate will perform single cell RNA-seq data processing, analysis, and modeling, and is expected to interact with experimental collaborators for validation of computational predictions.
Your lead supervisor will be Prof. Antonio del Sol. Further supervision will be provided by Prof. Bernhard Peters.
Your primary tasks as a DRIVEN fellow are to :
Gender policy :
UL strives to increase the proportion of female PhD students in its faculties and interdisciplinary centers. Therefore, we explicitly encourage and welcome applications of female candidates.
Application submission :
Before proceeding with the submission of your application, please prepare the following documents (in English) :
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.