PhD Position in AI-based Model Fusion

Catholic University of Leuven Department of Electrical Engineering


This project is hosted by the STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics group of the Department of Electrical Engineering (ESAT) at KU Leuven. STADIUS is an academic research center, with a research focus on mathematical engineering, where mathematical tools from numerical linear and multilinear algebra, statistics and optimization are engineered for applications of dynamical systems and control, signal processing, data modeling and analytics. (


PhD positions are funded by the impulse program on Artificial Intelligence (AI) Research, which is an initiative of the Flemish government to position Flanders as an international leader in the field of AI. This AI-impulse program focuses on three main pillars: strategic basic research; technology transfer & industrial applications; and supporting activities (awareness, training, ethics…). To shape the strategic basic research, a team consisting of representation of industry associations, all five Flemish Universities and all four Strategic Research Centres have worked together to define a limited number of AI Grand Challenges that are internationally recognized and for which Flanders has key R&D and domain specific strengths.
The following vacant PhD position will be active in the first grand challenge of this impulse program, called Data Science: Hybrid, Automated, Trusted, and Actionable and will include the following topics:
-  AI-based Model fusion: At a system level, multiple predictive models are often integrated to support a decision.  These models may originate from multiple inputs, outputs, scales or contexts. This task focuses on the integration of these various heterogeneous types of knowledge into a general framework optimally fusing expert-driven models as well as data-driven machine (deep) learning models. The aim is to share as much as possible common properties among inputs/outputs in order to build up knowledge on common layers. In particular, this PhD will develop advanced AI based methodology to extend decision support systems with multi-view/multitask/multi-scale model fusion in the following sense:

     -    Multi-view: integrate many inputs coming from a variety of modalities (sensors). How to combine? How to cope with variability in the modality subsets?
     -    Multi-task: combine many outcomes referring to different diagnostic questions. This involves integration of different models with a common knowledge layer.

     -    Multi-scale: aggregrate many sub-models for different ‘sub-diagnostics’ in higher-level models for high-level diagnostics
and validating these generic methodologies in a variety of proof-of-concept applications in Health sciences and industry.


You should have a master's degree in information technology, biomedical engineering, electrical or mathematical engineering, artificial intelligence, or a similar degree with an equivalent academic level. A genuine interest in signal processing and machine learning should motivate your application. The candidate should have strong social abilities allowing an active participation to the multidisciplinary network, fruitful exchanges with other students and researchers, and an excellent integration in the team of your research group.


Duration: 48 Months

The selected candidate will be able to take advantage of the unique set-up of the AI impulse program, encompassing all five Flemish Universities. Furthermore, concrete proof-of-concepts will be developed on a yearly basis from which knowledge and technology can be transferred to the business community. It is the aim that the demonstrations of the proof-of-concepts serve as the entry point for the Technology Transfer and Industrial Applications part of the larger Flemish impulse program to tailor the results of the research work towards the specific needs of companies. With this in mind, the PhD candidates involved in this AI impulse program will become independent researchers with improved career prospects in both the academic and non-academic sectors, and will contribute to Flanders’s competitiveness and attractiveness in the field of AI.

The work will be performed within the research division STADIUS ('Stadius Centre for Dynamical Systems, Signal Processing, and Data Analytics') at the Electrical Engineering Department (ESAT) at KU Leuven, Europe’s most innovative university (Reuters, 2018). STADIUS's major research objective is to contribute to the development of improved digital (control and signal processing) systems that incorporate advanced mathematical modeling techniques as a crucial new ingredient.


For more information please contact Prof. dr. ir. Johan Suykens, tel.: +32 16 32 18 02, mail: or Prof. dr. Maarten De Vos, tel.: +32 16 37 39 97, mail:

You can apply for this job no later than June 20, 2020 via the
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at
  • Employment percentage: Voltijds
  • Location: Leuven
  • Apply before: June 20, 2020
  • Tags: Ingenieurswetenschappen

In your application, please refer to