Mediaboss Marketing

The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective.

At the Faculty of Business, Economics and Statistics, the University of Vienna seeks to appoint a

Tenure-Track Professor in the field ofFoundations of Machine Learning in Finance

The position:

We are looking for scientists with demonstrated excellence in machine learning approaches to financial problems combined with their mathematical, probabilistic and statistical foundations. This includes (but is not limited to) the analysis of deep (reinforcement) learning algorithms, signature methods, optimal control and game theory as well as their applications to various problems in banking, finance and economics, such as risk management and hedging, financial time-series prediction and market generation, model calibration or market making. The position will contribute on one hand to the mathematical foundations of data science and on the other hand will focus on financial and economic applications that can be solved by novel machine learning algorithms. In this respect, the Vienna scientific landscape offers many cooperation opportunities, in particular within the Research Network Data Science @ Uni Vienna, a platform for fundamental research in data science and practical applications based on data science techniques.

Your academic profile:

We expect the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelors programmes and for participation in university committees.

We offer:

Application documents:

If you have any questions, please contact:

tenuretrack.personal@univie.ac.at

We look forward to new personalities in our team!

The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

Space for personalities. Since 1365.

Privacy Policy

Reference no.: TT0623Wiwi01

Application deadline: 15 September 2023

See original here:
Professor in the Field of Foundations of Machine Learning in ... - Times Higher Education