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Position: Doctoral Student (PhD) Fintech and Artificial Intelligence in Finance
Institution: Zürcher Hochschule für Angewandte Wissenschaften
Location: Winterthur, Zürich, Switzerland
Duties: Publish high-quality research articles in leading journals; Contribute to our national and international research projects focussing on applied quantitative data science with financial markets applications; Become an expert in the fields of reinforcement and deep learning for Finance; Start an outstanding research track record as well as a successful footprint in technology transfer; Contribute to teaching activities in our BSc and MSc programmes as well as our executive education; Contribute to administrative tasks in our national and European research projects; Support the various additional activities of our team, related to administrative and scientific management tasks
Requirements: We offer a competitive, technically stimulating, and exciting environment as part of several national and international research projects. The high-potential candidate will pursue his doctorate in conjunction with another university, to be decided upon together. A major responsibility is to advance the research agenda at the intersection of theoretical research and financial markets. The candidate will have the opportunity to establish partnerships with other universities, acquire funding for collaborative research, and to develop new quantitative solutions. The position will also involve contributing to open source software and presenting results at scientific and industrial conferences
   
Text: Doctoral Student (PhD) Fintech and Artificial Intelligence in Finance 100% This is the right position for you if you are enthusiastic about programming and have strong interest in quantitative, data-driven research projects. School: School of Engineering Starting date: as soon as possible (upon agreement) Your role Publish high-quality research articles in leading journals Contribute to our national and international research projects focussing on applied quantitative data science with financial markets applications Become an expert in the fields of reinforcement and deep learning for Finance Start an outstanding research track record as well as a successful footprint in technology transfer Contribute to teaching activities in our BSc and MSc programmes as well as our executive education Contribute to administrative tasks in our national and European research projects Support the various additional activities of our team, related to administrative and scientific management tasks Your profile We offer a competitive, technically stimulating, and exciting environment as part of several national and international research projects. The high-potential candidate will pursue his doctorate in conjunction with another university, to be decided upon together. A major responsibility is to advance the research agenda at the intersection of theoretical research and financial markets. The candidate will have the opportunity to establish partnerships with other universities, acquire funding for collaborative research, and to develop new quantitative solutions. The position will also involve contributing to open source software and presenting results at scientific and industrial conferences. Jetzt online bewerben ­ This is what we stand for Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 13,000 students and 3,000 faculty and staff. As one of the leading Engineering Faculties in Switzerland, the emphasizes topics which will be relevant in the future. Our 13 institutes and centers guarantee superior-quality education, research and development with a focus on the areas of energy, mobility, information and data science. We offer internationally recognized BSc and MSc programmes and run innovative applied research projects. is a competence center for the development and application of methods from the fields of quantitative finance, data science, stochastic process modelling, statistical data analysis and operations research. The focus of our work is the use of data and quantitative methods for the development of novel products and operational innovations. The Finance, Risk Management and Econometrics team is involved in the project that aims to better understand the risks of emerging technologies (Big Data, Artificial Intelligence and Blockchain) relevant for financial innovation and to improve the communication between financial market regulators and fintech companies developing these emerging technologies. In addition, team members are heading the network on Fintech and Artificial Intelligence in Fintech with 32 countries and 150 researchers involved globally, as well as a number of research projects funded by Innosuisse and the Swiss National Science foundation. Due to successful acquisition of research funding over the last few years, our team has grown substantially. Das dürfen Sie erwarten Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile finden Sie auf der Seite . Hier die wichtigsten Eckpunkte: Contact Prof. Dr. Jörg Osterrieder Professor für Finance and Risk Modelling Nadine Müller Recruiting Manager 2021-04-06 Temporary ZHAW Zürcher Hochschule für Angewandte Wissenschaften Winterthur Region of Winterthur/Schaffhausen 8400
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