TWO ASSISTANT POSITIONS (50%-70%) in QUANTITATIVE FINANCE
The Chair of Mathematics (Department of Economics) of the University of St.Gallen opens two new 50%-70% assistant positions to be filled starting in August 2018 at the latest.
The candidates for these positions are expected to start the PhD program in Economics and Finance at the University of St.Gallen (see http://www.pef.unisg.ch) during the Autumn Term 2018, under the supervision of Prof. Dr. Enrico De Giorgi.
The successful candidates will be integrated in a young, research-oriented team, with a strong foundation in quantitative methods for finance and economics and they will con-tribute with research and teaching activities. The group is located at the Faculty of Mathematics and Statistics of the University of St.Gallen (http://www.mathstat.unisg.ch) and counts around 25 members.
Candidates for these positions should have a master degree in economics, finance, statistics or mathematics and fulfill the formal requirements to join the PhD program in Economics and Finance at the University of St.Gallen (see http://www.pef.unisg.ch). Strong interest in combining machine learning (artificial intelligence) and behavioral finance/economics will be considered as an important asset.
Applications for the positions should be sent by e-mail to Mrs. Margit Albers (mathstat@unisg.ch) no later than 30 April 2018.
The application package must contain:
- motivation letter;
- complete curriculum vitae;
- two reference letters;
- transcripts.
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At the Department of Economics of the University of St.Gallen a new
ASSISTANT/Ph.D. POSITION (60%) in FINANCIAL ECONOMETRICS
will be filled starting in June 2018 or later.
The position is part of the Chair of Financial Econometrics held by Prof. Dr. Matthi-as Fengler. The candidates for this position are expected to start a Ph.D. in Econom-ics and Finance (PEF) at the University of St.Gallen (http://www.pef.unisg.ch). The position will be financed by the Swiss National Fund. Starting with 60% the position can be increased later on.
The position is part of the SNF project “Structural Models of Volatility”. Therefore strong interest in theoretical or empirical topics of volatility modeling are expected. (see also Prof. M. Fengler’s website https://mathstat.unisg.ch/en/chairs/financialeconometrics/).
The successful candidate will be working in a young research team, with a strong interest in quantitative methods for Finance and Economics. The group is located at the Faculty of Mathematics and Statistics of the University of St.Gallen (http://www.mathstat.unisg.ch).
Applications for the position should be sent by e-mail to Mrs. Margit Albers (mathstat@unisg.ch) no later than June, 15, 2018.
Candidate Profile:
- Master degree in Economics and Finance; or Mathematics and Statistics (back-ground knowledge in Econometrics and Finance is essential).
- Willingness to write a Ph.D. in Economics and Finance at the University of St.Gallen (http://www.pef.unisg.ch).
- Strong willingness to apply quantitative methods in Finance and Economics.
- Strong interest in Financial Statistics and Econometrics.
- Interest in BigData applications.
The application package must contain:
- Motivation letter
- Complete Curriculum vitae
- Two recommendation letters
- Transcripts.
The position is part of the Chair of Mathematics held by Prof. Dr. Enrico De Giorgi. The candidates for this position are expected to start a Ph.D. in Economics and Finance at the University of St. Gallen (http://www.pef.unisg.ch).
The Ph.D. thesis can cover both theoretical or empirical methods in Finance and Economics (see Prof. De Giorgi’s website (http://www.enricodegiorgi.com/ for an overview of his current research agenda).
The successful candidate will be integrated in a young, research-oriented team, with a strong foundation in quantitative methods for Finance and Economics. The group is located at the Faculty of Mathematics and Statistics of the University of St. Gallen (http://www.mathstat.unisg.ch).
The new Ph. D. candidate is expected to interact with the professors of the Faculty of Mathematics and Statistics in the development of his/her thesis, as well as with professors and post-docs of the School of Economics and Political Science and of the School of Finance.
The candidate is also expected to collaborate in the development of the teaching activities of the Chair of Mathematics. Applications for the position should be sent by e-mail to Mrs. Margit Albers (mathstat@unisg.ch) no later than 15 July 2017.
The application package must contain:
- motivation letter;
- complete curriculum vitae;
- two reference letters;
- transcripts.
Candidate Profile:
- Bachelor and Master degrees in Economics, Finance, Mathematics (in this case, with some studies in Economics), or related fields;
- Willingness to write a Ph.D. in Economics and Finance at the University of St. Gallen (http://www.pef.unisg.ch);
- Strong willingness to apply quantitative methods in Finance or Economics;
- Strong interest in Decision Theory, Risk Theory, Behavioural Finance and Behavioural Economics.
- Interest in BigData related issues.
Duties:
- Collaboration in the research activities in the areas of Mathematics, Financial Economics and Quantitative Finance;
- Collaboration in the teaching of mathematics and quantitative methods in Finance and Economics at different teaching levels;
- Development of a Ph. D. thesis in Financial Economics or Quantitative Finance at the University of St. Gallen.
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Position as ASSISTANT/SECRETARIAL HELP
at the Chair of Mathematics
At the Department of Economics of the University of St.Gallen, a new position as
assistant / secretarial help
will be available starting on 1 September 2017. The position is part of the Chair of Mathematics, headed by Prof. Dr. Enrico De Giorgi.
The successful candidate will be integrated in a young, strongly research-oriented team. She or he is expected to collaborate in research and teaching activities of the Chair of Mathematics, as well as in selected administrative tasks.
Applications for the position should be sent no later than 15 August 2017, by e-mail with a CV and a motivation letter to Mrs. Margit Albers (mathstat@unisg.ch).
Candidate profile:
- Master student with good quantitative skills.
- Knowledge of MikTex, Latex.
- Some familiarity with web-based applications.
- Programming skills (MATLAB or R).
Duties:
- Collaboration in research and teaching activities.
- Selected administrative tasks.