Ongeveer 14 uur geleden - Universiteit van Amsterdam (UvA) - Amsterdam
PhD student Scientific Computing with AcomeA
Four-year PhD position, position 1: TU Eindhoven (Netherlands) with AcomeA Milan (Italy) Two 4-year Marie Curie PhD positions are available at TU Eindhoven, …
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
FunctieomschrijvingFour-year PhD position, position 1: TU Eindhoven (Netherlands) with AcomeA Milan (Italy)
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, 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. Your daily advisors will be:
Moreover, at TU Eindhoven, you may also work with
Additionally, you will spend 4 months at the University of Milan and work with
Keywords: Data science, modeling of human behavior, fintech: combining finance and technology, numerical linear algebra, data reduction, variable reduction, model reduction, optimization, statistics, machine learning.
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
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.
Locations: Eindhoven (Netherlands, 26 months) and Milan (Italy, 22 months), as follows:
March 2019: TU Eindhoven (with 1 week course in Milan); April—August 2019: AcomeA Milan; September—October 2019: University of Milan; November 2019—October 2020: TU Eindhoven; November—December 2020: University of Milan; January 2021—January 2022: AcomeA Milan; February 2022—February 2023: TU Eindhoven.
Additional informationTo apply:
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 www.win.tue.nl/~hochsten/bigmath.html.
Scanning of the applications will start immediately; applications received before or on December 5, 2018 will receive full consideration, but the call will be open until the positions are filled.
You are also very welcome to obtain informal information about the project and AcomeA via Giuseppe Codazzi, firstname.lastname@example.org.
For further information about employment conditions you may contact Marjolein von Reth, HR advisor TU Eindhoven, email@example.com.