What you will do
The omnipresence of sensors causes an explosive growth of data that offers the potential for a revolutionary transformation in many sectors.
The functioning of such systems can greatly benefit from data-driven predictive models that extract insights and actionable knowledge from these data streams.
As machine learning models are being incorporated into a workflow, it is often desirable that the models can explain why a certain prediction was made.
Therefore, explainability of such models is becoming an additional baseline requirement.
Apart from providing information as to why a certain decision was reached, explainability also enables a further assessment of the model in terms of transparency, trust, fairness and understanding of its inner workings.
The goal of the PhD is to develop innovative methodologies that can improve model interpretability. The proposed PhD research is defined within the context of several national and international research projects on the analysis of time series data.
Who you are
Highly creative and motivated PhD student with the following qualifications :
What we do for you
We offer the opportunity to do full-time research in an international (with over 17 nationalities at IDLab, part of imec and Ghent University) and friendly working environment, with a competitive salary at Ghent University.
While grounded in fundamental academic research, as a PhD candidate you will also participate in collaborative research with industrial and / or academic partners in Flanders and / or on a wider geographic scale (e.
g., EU H2020 projects), in the framework of new / ongoing projects. Furthermore, you will publish your research results at major international conferences and in journal papers, as part of meeting the requirements for your PhD.
The PhD positions are available starting summer 2021.