The University About
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world.
The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History.
In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine.
Times Higher Education ranks the University of Luxembourg #3 worldwide for its international outlook, #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
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 joint team of Prof. Henderik Proper (adjunct professor at UL and affiliated with LIST) and Prof. Pierre Kelsen, in the Department of Computer Science (DCS) of the Faculty of Science, Technology and Medicine (FSTM), is currently looking for a : Doctoral researcher (PhD candidate) in Computer Science
The PhD project activities will be embedded in the collaboration between the Department of Computer Science at the University of Luxembourg and the IT for Innovative Services (ITIS) department of the Luxembourg Institute of Science and Technology (LIST) in general, and take place in the joint team of Prof.
Henderik Proper (adjunct professor at UL and affiliated with LIST) and Prof. Pierre Kelsen in particular.
With the increasing use of knowledge-intensive computing technologies in all domains of our digital intelligent society, such as healthcare, education, logistics, and transportation, also comes an increase in the need to capture relevant domain knowledge by means of domain models.
In the face of such an increase in demand, a matching increase in supply becomes necessary. This actually causes a modeling bottleneck'' in the sense that there is growing lack of modeling skills.
One of the solutions to the general shortage of (domain) modeling skills is to empower people without modeling background to produce higher quality domain models with the assistance of artificial intelligence (AI), so that everyone can be a domain modeler!
The goal of this PhD project is therefore the development of a theoretical framework for AI assisted domain modeling, its instantiation and evaluation in terms of a prototype of an assisted domain modeling environment and application to case scenarios.
What we expect from you