PhD position in Consumer Behavior analysis: integrating AI, IoT, and conceptual modeling
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The candidate will work on the development of Machine Learning and optimization techniques to make supermarket operations more sustainable. He/she will find a dynamic and pleasant working environment in both universities, in groups that are actively involved in scientific research at the highest international level.
Some research keywords of this PhD position are:
- Natural Language Processing (NLP)
- Conceptual Modelling
- Business Process Modeling Notation (BPMN)
- Machine Learning
- Consumer Behavior
The candidate will be expected to participate in seminars and conferences, be internationally mobile, and enroll in both institutes' PhD programs. He/she may be asked to give guidance to Bachelor and Master students and to be involved in teaching activities.
Profile
The candidate should have a strong interest in Machine Learning and its diverse applications. He/she should preferably hold a Master's degree in Business Engineering, Business Analytics, Computer Science, Information Systems, or an equivalent field. An average annual result of "distinction" during university education is required, as well as a very decent knowledge of written and spoken English. Good programming skills in Python and/or R are an asset. Students who are currently in the final year of their Masters are especially encouraged to apply.
Offer
We offer employment as a full-time doctoral scholarship for 1 year at KU Leuven (Belgium), followed by 3-year employment at SKEMA Business School (France), provided that the candidate successfully passes first-year requirements at KU Leuven.
The tentative starting date is September 2024, but there is flexibility depending on the availability of the candidate.
Diversity policy
SKEMA and KU Leuven are committed to equity and diversity within their communities and value academic rigor and excellence. We welcome and encourage applications from all qualified candidates, regardless of gender, age, cultural background, nationality, or impairments. If you have any questions relating to accessibility or support, please consult our diversity policy.
Contact
For more information please contact Dr. María Olmedilla Fernandez (maria.olmedillafernandez@skema.edu) and Dr. Estefanía Serral Asensio (estefania.serralasensio@kuleuven.be).
