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The candidate :
- has a master’s degree in any of the following fields or similar: Business Engineering, Applied Economics, Applied Sciences, Engineering, Computer Science, Data Science, Statistics, Mathematics, Informatics, Physics.
- combines strong quantitative and problem solving skills with a profound interest in the development and application of data-driven methods for tackling business problems.
- preferably has: * Knowledge of data analysis methods (statistics, analytics, machine learning); * Programming skills (e.g., Python, R, Java), or is willing to learn; * Strong communication skills and excellent written and spoken command of English.
An average degree of distinction or higher during preliminary studies is required.
Candidates with prior job experience are especially encouraged to apply.
We are looking for a full-time PhD researcher to work on the topic of data-science for business decision-making, with a focus on the development of business-oriented solutions by adopting advanced data-driven methods from fields such as machine learning, artificial intelligence and robust statistics, for application in fraud detection. This research will be carried out in close collaboration with a financial institution and should lead to a PhD-degree.
The research will be conducted as part of a research grant from FWO, co-promoted by Wouter Verbeke, Tim Verdonck and Bart Baesens, in close relationship with other researchers and industrial experts.
The candidate are expected to participate in workshops, seminars and conferences; to be internationally mobile from time to time and to enroll in the PhD program of the Faculty of Economics and Business. The candidate can be asked to assist in the guidance of bachelor projects and master theses, to give exercise sessions for some courses and/or to supervise exams.
We offer a dynamic and pleasant working environment, in a growing trans/multi-disciplinary team that is actively involved in scientific research at the highest international level, combined with a substantial sense of relevance guaranteed by the field work experience with the industrial partners of the team.
For more information please contact Prof. dr. Wouter Verbeke, tel.: +32 16 19 34 24, mail: wouter.verbeke@kuleuven.be .
We offer an employment as full-time doctoral scholar as from now for 1 year, renewable till max. 4 years after positive evaluation.
You can apply for this job no later than 31/01/2021 via the online application tool
https://easyapply.jobs/r/V7hDsvV1TbUAsV2ySxsr
https://easyapply.jobs/r/C7hEsyC1UbVAsCoM1OF
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