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PhD Scholarship Scientific Computing with Acomea at Eindhoven University of Technology

A new opening PhD position in computer science is available at Eindhoven University of Technology, Netherlands. Successful candidate will have funding to work and study for 6 months in Netherlands. There is no application deadline for this position.

Two 4-year Marie Curie PhD positions are available at TU Eindhoven, starting date March 1, 2019. Research topics may include numerical linear algebra, big data, probability and statistics, modeling, model reduction, large-scale optimization.

This is a description of Position 1 at TU Eindhoven, joint with AcomeA Milan, https://www.acomea.it/. This position is "ESR5" (Early-stage researcher), part of the EU Marie Curie EID project BIGMATH, http://itn-bigmath.unimi.it , including 7 PhD positions in total, at universities in Milan, Novi Sad, Lisbon, and Eindhoven.

You will be a member of the Centre for Analysis, Scientific Computing and Applications (CASA), within the Department of Mathematics and Computer Science at TU Eindhoven.

Please find below a brief description from the BIGMATH proposal. Here "RO" stands for research objective. This position is ESR5 (ESR = Early-stage researcher). Project 5 (ESR5): Scoring individual financial investment potential (TU/e & AcomeA) Modern Financial Technology (fintech) companies offer, besides traditional systems of investment, also online applications and services where single investors may deposit any amount of money, which can be rapidly claimed at any time. Such online systems are often used by small investors like students, young people, etc. as "piggy banks" or by individuals with a larger capital, in parallel to other investments, to diversify their portfolio. The aim of this project is to identify customers who have a financial potential larger than their actual investments, to apply targeted marketing strategies. The financial behavior of individuals is related to their attitude to risk and to save money, and to their way of living, etc. In this project, we will retrieve this information via socio-demographic data, geolocalized data, analysis of social networks, by defining relevant variables (RO3) and suitable measures and distances that may quantify the possible features of interest. Then ESR5 will develop a feature extraction procedure (RO4) to reduce the problem dimension and identify the more relevant variables to describe the financial behavior of the individuals. The identification of such variables is crucial and challenging, due to the heterogeneity of information to be considered. Based on the selected variables, the customers having an unexploited financial potential will then be identified via quantile regression techniques. The relevant research objectives: RO3: Develop model reduction or feature selection techniques for the construction of fit-for-purpose models, which may reduce the complexity of a system, increasing the interpretability of cause-effect relationships. RO4: Develop interpretable statistical models for classification in imbalanced classes and for the prediction of rare events (i. e. classification into 2 imbalanced classes). The aim is to overcome the application of "black box" machine learning techniques, using models that can interpret the interrelationships and the causal effects among different features. Some information on AcomeA In 1994, a group of managers and entrepreneurs acquires a small asset management company, Anima. In the next fifteen years, Anima grows as the first Italian Asset Manager independent from a distribution network, with more than 350,000 customers, 7 billion of assets under management and 120 distribution agreements. The assets under management top at 11 billion after the acquisition of DWS Italy. In 2010 the same group of independent managers acquires another small A. M. Company: AcomeA is founded on their principles and values, having the customers' wealth as the core driver. Independence, full transparency, direct information, education and alignment of interests are the main features.

March 2019: TU Eindhoven (with 1 week course in Milan); AprilAugust 2019: AcomeA Milan; SeptemberOctober 2019: University of Milan; November 2019October 2020: TU Eindhoven; NovemberDecember 2020: University of Milan; January 2021January 2022: AcomeA Milan; February 2022February 2023: TU Eindhoven.

For informal inquiries, please contact Dr. Michiel Hochstenbach, TU Eindhoven by email. To apply, please use the TU Eindhoven system by using the “apply now” button. Please include all of this: motivation letter, CV (math interests, languages, some personal info, hobbies), list of BSc and MSc courses with grades, MSc thesis (or draft), list of ca 3 people for recommendation. See also http://www.win.tue.nl/~hochsten/bigmath.html. Scanning of the applications will start immediately; closing date December 5, 2018.

You are also very welcome to obtain informal information about the project and AcomeA via Giuseppe Codazzi,

For further information about employment conditions you may contact Marjolein von Reth, HR advisor TU Eindhoven, .


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