Research Assistant in Blockchain, Cryptocurrencies, Quantitative Finance and Risk Modelling (50 % position)
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 emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education, research and development with a focus on the areas of energy, mobility, information and health.
Since 2013 the Institute of Data Analysis and Process Design (IDP) has teamed up with five other institutes from three departments to establish one of the first interdisciplinary Data Science Centers in Europe – the ZHAW Datalab (www.zhaw.ch/datalab). We are looking for a highly motivated candidate within the Research Group Finance, Risk Management and Econometrics of the Institute of Data Analysis and Process Design as:
The candidate will work in one or more of the following fields: Blockchain, Cryptocurrencies, Quantitative Finance, Risk Management, Algorithmic Trading, Digitization in the financial sector (Fintech).
work on research projects related to blockchain and cryptocurrencies
develop novel mathematical models and algorithm and implement them in a rapid-prototyping environment in the above-mentioned fields as part of applied research projects with our partners from academia and industry
interact with colleagues from the research group Finance, Risk Management and Econometrics to both further the state of the art in quantitative finance as well as identify novel application areas
participate in technology transfer and writing research papers and proposals
in parallel to the applied research work in Winterthur, studying remotely towards a Ph.D. degree under the joint supervision of ZHAW and one of the partnering universities is encouraged
The successful candidate has finished a Bachelor's degree in Mathematics, Physics, or Engineering and ideally a Master's degree in a finance-related field at a research university. He or she must have reliable experience in one or more of the above-mentioned fields and a good command as well as a passion for programming in R or Python. Command of a second programming language such as Java or C++ is an advantage. Good communication skills in English and in German are an asset for the work in multidisciplinary teams. The ideal candidate will demonstrate an understanding of the academic, industry, and technology landscape, identify unsolved problems and propose novel ideas for future activities. Particular emphasis is given to developing mathematical models and algorithm for simulation and analysis and their implementation as prototypes, testing the models hands-on with data, and scientific evaluation and documentation of results. Previous experience with blockchain and cryptocurrencies is essential.
The position is provisionally limited to one year, but could be renewed for a maximum of three years upon mutual agreement. This is an entry level position, suitable for a recent graduate.
We offer a competitive, technically stimulating, and exciting environment with the possibility to obtain a doctorate. Responsibility is provided with respect to contributing to and furthering research agendas in one of the abovementioned fields. The candidate will have the opportunity to establish partnerships with industrial partners, acquire funding for collaborative research, and to devise and transfer research solutions to enterprise contexts. The position will also involve publishing, for example by writing papers, contributing to open source software, presenting at scientific conferences, etc. As well as providing an excellent work environment, we provide intellectual liberty and competitive compensation based on Swiss standards at one of the leading houses for data science research in Switzerland.
Do you have any questions about this position? For more information regarding the vacancy, please contact Prof. Dr. Wolfgang Breymann, Tel. +41 58 934 78 14, Email: email@example.com or visit for further information www.zhaw.ch/idp/
In your cover letter, please indicate why you belong to the top 1% of your peer group. Are you interested? If you would like to apply, please use the online platform to send us your complete application, Attn. Esther Huber, HR Consultant, at Winterthur.