The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). Rabobank is one of the largest banks in the Netherlands. Rabobank recognizes the emerging trend of banking becoming more and more digital and data-driven and sees a good opportunity for bringing the data they have to a broad spectrum of the current state-of-the-art and yet-to-be-developed Know Your Customer (KYC) Predictive Analytics solutions. Therefore, under the umbrella of the “Data Science Impuls” program, the DSC/e and Rabobank joined forces in a research project with the aim of bringing holistic system-oriented perspective on researching and developing next generation KYC Predictive Analytics.
The general challenge in the joint research project of DSC/e and Rabobank is to automate as far as possible the process of getting customer insights for addressing internal and societal needs for preventing and mitigating cybercrime, money laundering and different kinds of fraud. It is essential to develop KYC solutions that can leverage information hidden in heterogeneous evolving data streams and provide effective means for interaction of experts with the mined knowledge from the data. The automation of the KYC process should comply with local and international regulators.
The data science team at Rabobank has an established research environment that has an access to the relevant data and knowledge about the data. Their data scientists are on premise to help with tasks like: anonymizing datasets, giving meaning to data and findings. Rabobank has a long history of human intelligence on knowing their customers. The expertise of experienced employees would be available on demand.
The DSC/e of TU/e provides its long running expertise and experience across all challenges of data science and particularly in data mining, predictive analytics, visual analytics and data engineering.
The joint project of DSC/e and Rabobank is led by Mykola Pechenizkiy and Werner van Ipenburg respectively. The two PhDs will join the Department of Computer Science, Eindhoven University of Technology (TU/e). Both PhDs will closely collaborate and spend significant time within the Data Science team of Rabobank.
We are looking for candidates that meet the following requirements:
- a solid background in Computer Science with specialization in Data Science, Data mining, machine learning, AI or related areas (demonstrated by a relevant Master);
- ideal candidates have a strong background in one or more of the following areas: (heterogeneous) data mining, graph databases, social network analytics, text mining, deep learning, other relevant subareas in machine learning, visual analytics and data engineering;
- have a strong interest in data science research;
- have data mining software development skills at least in one language, e.g. R, Python, Java.
- good communication skills in English, both in speaking and in writing (candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills);
- good communication skills in Dutch is a plus;
- capability and willingness to work both independently and in a team of data scientists and interact with domain experts; being highly motivated, rigorous, and disciplined;
- being enthusiastic about working on one of the most changing topics of banking.
PhD students are expected to:
- perform scientific research in the domain described
- collaborate with other researchers in this project
- present results at leading international conferences in the field
- publish results in scientific journals
- participate in activities of the group and department, at both sites
- participate in doctoral training on relevant topics
- be willing to work at two locations (TU/e campus in Eindhoven and Rabobank in Utrecht)
- provide training and transfer knowledge to internal specialists at Rabobank and assist in guiding (project-related) MSc graduation projects.
Conditions of employment
Conditions of employment
- A full time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
- A gross salary of € 2.174 per month in the first year increasing up to €2.779 in the fourth year;
- Tight collaboration of academia with industry with access to real data and domain expertise.
- Strong collaboration ties with several research groups in Europe and world-wide.
- Healthy travel funding for presenting your work at the leading conferences and going on visiting research.
- Support for your personal development and career planning including courses, summer schools, conference visits etc.;
- A broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare and excellent sports facilities).
Application Deadline : 31 August 2016
Two PhD positions on Predictive Analytics in Banking : PDF
Posted on 2016-08-13 04:50:00
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