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Doctoral Student (PhD) Fintech and Artificial Intelligence in Finance 100%

 — Winterthur

This is the right position for you if you are enthusiastic about programming and have strong interest in quantitative, data-driven research projects.

Doctoral Student (PhD) Fintech and Artificial Intelligence in Finance 100%

Doctoral Student (PhD) Fintech and Artificial Intelligence in Finance 100%


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

Your profile

The successful candidate has an outstanding Bachelors degree in a mathematical, scientific or technical and a completed Master's degree preferably in a technical/quantitative subject and a very strong interest in finance. She or he must have prior exposure to and strong interest in programming as well as quantitative, data-driven research projects in the application domain of financial markets. We expect an excellent command as well as a passion for programming. Good communication skills in English are essential; a good command of German is a plus. The ideal candidate is passionate about identifying unsolved problems as well as proposing novel ideas for future activities. Particular emphasis is on developing prototypes, experimenting hands-on with data, scientific evaluation and publi-cation of results. It is also expected that the candidate will undertake one summer internship program at a financial company.

We offer a competitive, technically stimulating, and exciting environment as part of several national and international research projects and a joint collaboration with Worcester Polytechnic Institute (WPI), Prof. Dr. Stephan Sturm. The high-potential candidate will pursue his doctorate in conjunction with WPI by spending one year at WPI in the US. 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.

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 ZHAW School of Engineering (SoE) 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.

The Institute for Data Analysis and Process Design (IDP) 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 EU Horizon 2020 FIN-TECH 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 European COST research 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.

What you can expect

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below:


Prof. Dr. Jörg Osterrieder
Professor für Finance and Risk Modelling

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Sarah Stüdli
Recruiting Manager

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