The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .
It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.
The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics , Physics , Engineering , Computer Science , Life Sciences and Medicine .
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.
The PhD student will be a member of the Department in Computer Science (DCS) within the Faculty of Science, Technology and Medecine (FSTM) at the University of Luxembourg.
He / she will work under the supervision of Prof. Dr. Nicolas Guelfi. The successful candidate will join the Messir Group led by Prof. Nicolas Guelfi.
The research problematics addressed by our group include the definition of software engineering methodologies for the benefits of improving the development of software applications based on machine learning.
The focus of this PhD project is to perform research on the definition of a methodology supported by a tool for the modeling, simulation and prediction of the resilience of ecosystems.
The candidate will perform research in the framework of machine learning and of model-driven software engineering applied to the resilience of environmental ecosystems.