Ongeveer 18 uur geleden - Universiteit van Amsterdam (UvA) - Amsterdam
3-year Scientific Programmer position in Data Mining
TU/e is offering a three-year Scientific Programmer position in Data Mining
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
We are seeking a highly creative and motivated software engineer to support and accelerate research in the Data Mining Group at the Eindhoven University of Technology. The candidate will be working on two separate research projects: the Open Machine Learning (OpenML) project and the Next generation predictive analytics for data-driven banking and insurance (RATE Analytics).
RATE Analytics in the joint NWO and industry funded project including collaboration of TU Eindhoven, Tilburg University, Rabobank and Achmea. It is led by prof. dr. Mykola Pechenizkiy (predictive analytics), prof. dr. Bas Werker (financial statistics and econometrics) and prof. dr. Jack van Wijk (visualization). The project includes two postdocs and two PhDs working full time on this project.
The overall goal of this project is to develop foundations and techniques for next generation big data analytics, facilitating the development of a wide range of applications in banking and insurance. including, but not limited to transactions and insurance fraud detection, loan default prediction, customer churn prediction, and data-driven product development.
We bring three major data-science expertise areas into this multidisciplinary project: predictive analytics, modern statistics, and visual analytics to develop novel approaches for analytics with an expert in the loop and the expert-algorithm interaction.
We are looking for candidates that meet the following requirements:
Additionele informatieMore information
The application should consist of the following parts:
The selection process with start on 8 January 2019 and will continue until the position gets filled. The position is fully funded and immediately available. The start date is flexible.
Please apply by using the 'Apply for this job' button. A maximum number of 5 documents of 2 MB each can be uploaded. If necessary, please combine files.