Vacancy for a postdoctoral researcher in the field of predictive analytics
il y a 3 semaines
You have or will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on predictive analytics/machine learning.You have a mature publication track record with publications in top journals and/or conferences within the field of predictive analytics/machine learning.Some experience in applied research projects in collaboration with industrial partners and/or working with real-world data is a plus.You are fluent in English (written/spoken) and have strong communication and presentation skills.This applied research project is a collaboration between the FI and the LIRIS and DTAI research groups at KU Leuven. A wide range of predictive classification and regression models are used to support operational decision-making at the FI. Currently, these prediction models take static or time-agnostic feature sets as input. The objective of this project is to develop (a) framework(s)/methodology(ies) to extract time-aware features from (i) transaction, (ii) event, and (iii) interaction data of the financial institution that can be used as additional inputs to these predictive models. The developed methodology(ies) need(s) to be validated empirically. The Research Centre for Information Systems Engineering (LIRIS) and the Declarative Languages and Artificial Intelligence (DTAI) Section of the Department of Computer Science, KU Leuven (Belgium), are jointly hiring a postdoctoral researcher in the domain of predictive analytics/machine learning/data mining. The position is offered in the context of an applied research project in collaboration with a financial institution (‘the FI’) on “the extraction and use of time-aware features to improve the performance of predictive models that are used to support operational decision-making”. Candidates ideally have recently obtained their PhD in the wider area of predictive analytics/machine learning/data mining.We offer a full-time position as a postdoctoral researcher for one year year (extension may be possible following a positive evaluation). The tentative start date is September 2, but can be adjusted and determined in consultation with the candidate. You will work under the supervision of prof. Wouter Verbeke (LIRIS), dr. Jente Van Belle (LIRIS), and prof. Jesse Davis (DTAI). You will be located at the Research Centre for Information Systems Engineering (LIRIS) at KU Leuven (Naamsestraat 69, Leuven, Belgium). You will find a dynamic and pleasant working environment in this research group that is actively involved in scientific research at the highest international level in different domains such as predictive analytics, prescriptive analytics, process mining, and conceptual modeling. Research projects in these domains are focusing both on fundamental and applied research. This position offers candidates an opportunity to further develop their research skills within the context of the project. As a postdoctoral researcher, like all other academic staff, you are expected to participate in seminars and conferences, and to perform a limited number of educational/service tasks (e.g., supervising master's theses), next to your main research tasks directly linked to the project described above.
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Leuven, Belgique KU Leuven Temps pleinYou have or will have obtained (close to the starting date) a PhD in Information Systems Engineering/Informatics/Computer Science/Machine Learning/Statistics or a related discipline with a focus on process analytics, preferably with a focus on building predictive and/or prescriptive models.You have a mature publication track record with exposure in top...
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