Doctoral Programme in Computational Sciences

Data and Computational Sciences are multidisciplinary fields based on, inter alia, Mathematics and Computer Science theories to address application domains within Engineering, Natural and Social Sciences and Financial Technologies. Obtaining meaningful computational results for various areas demands both domain knowledge and a command of mathematical modelling tools and their implementation, verification, validation and uncertainty quantification. These problems are typically solved upon the latest generation of high-performance computing (HPC) platforms. 

A major challenge for Data and Computational Sciences is to extend their range of application to harvest the fruits borne by computational sciences in research fields that have not yet benefited from its full potential, e.g. biology, health and the social and behavioural sciences. Our strategy to achieve this is to leverage the mathematical, procedural and algorithmic commonalities between apparently disparate research fields. Achieving this aim will require harnessing soaring amounts of data and developing new ways to instill domain knowledge about the phenomena at hand and the artificial intelligence of machine-learning approaches.

The interdisciplinary research training programme is anchored within the Faculty of Science, Technology and Medicine and branches out to the Faculty of Language and Literature, Humanities, Arts and Education, the Luxembourg Centre for Systems Biomedicine (LCSB), the Faculty of Law, Economics and Finance

The programme aims to:

  1. Provide a strong background in core computational and data science (Mathematics, Physics, Computer Science and Computational Engineering Sciences); 
  2. Expose the doctoral candidates to application domains of Computational and Data Sciences. 

The training approach complies with the strategy for doctoral education and the FNR Quality Framework for Doctoral Training. 

The two complementary training directions will enable the doctoral candidates to investigate, design and implement innovative research avenues to work at the interface between the core and domain-specific disciplines.

The programme is part of the University’s long-term strategy and, more generally, of Luxembourg’s initiatives such as Digital Luxembourg, and involves the Luxembourg Institute of Health (LIH), the Luxembourg Institute of Technology, and the Luxembourg Institute of Socio Economic Research.

The working language is English.

ECTS training modules can be found on Moodle