News

At the Faculty of Business and Economics of the University of Augsburg, a full-time position is available in the Department of Statistics (Prof. Dr. Yarema Okhrin) for 01.03.2023 for

 

a scientific associate (m/f/d)

 

with the possibility of a doctorate in an employment contract initially limited to 1.5 to 2 years. There will be an opportunity for extension at a later date. It is possible to occupy the position on a part-time basis.

 

The scope of duties includes participation in and design of international and national research projects, active participation in teaching and practical projects as well as the performance of other tasks within the scope of the chair's operation. The possibilities for a goal-oriented completion of a doctorate are given. Our main topics in research and teaching are financial market econometrics, data analysis and machine learning methods.

 

Recruitment requirements:

  • A university degree with above-average grades in a relevant subject (e.g., statistics, mathematics, data science, business mathematics, financial mathematics, computer science).
  • Very good knowledge of multivariate statistics, econometrics
  • Experience with machine learning methods
  • Very good knowledge of the English and German language.

The required qualifications must already be proven in the application documents by appropriate certificates. Remuneration will be paid up to pay group 13 TV-L if the personal and collective agreement requirements are met. The University of Augsburg has set itself the goal of increasing the proportion of female employees and expressly invites women to apply. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal.

 

Please send your complete application documents (including letter of motivation, curriculum vitae, references, certificates, and any other relevant evidence) by e-mail to:

 

Mr. Prof. Dr. Yarema Okhrin, Chair of Statistics, Faculty of Business and Economics, University of Augsburg, Universitätsstr. 16, 86159 Augsburg; E-Mail: karin.wuensch@wiwi.uni-augsburg.de.

 

For questions please contact Prof. Dr. Yarema Okhrin (yarema.okhrin@wiwi.uni-augsburg.de).

 

The current projects and publications of the chair can be found under https://www.uni-augsburg.de/de/fakultaet/wiwi/prof/stat/okhrin/. 

 

 

 

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We are regularly looking for student/scientific assistants (m/f/d)

 

At the Department of Statistics (Prof. Okhrin) we are regularly looking for students to join our team.


Support us ...

  •     ... as a tutor in the subject Statistics I or II.
  •     ... as a tutor in Statistics I or II.
  •     ... in the context of the preparation of teaching materials.
  •     ... in the context of research projects.

You are motivated, have achieved good to very good results in our exams and are interested in the events of the chair? Or you are a student of business mathematics/industrial engineering etc. and have not written any exams at our chair, but have good exam results and knowledge in the field of statistics/stochastics? Then apply!


The deadline for applications for the positions of tutor and instructor for the coming semester is the last Friday of Reading Week. However, please feel free to contact us in advance, we are constantly reviewing incoming applications.


Are you interested? Please send us your short application with cover letter, CV and current grades to

statistik@wiwi.uni-augsburg.de. We look forward to receiving your application!

Patrizia AG offers two master theses in the field of Investment Strategy & Research | Data Intelligence. For further information please click here: PAT Data Intelligence Master Theses 2021-22_FINAL.pdf

At the Faculty of Business and Economics of the University of Augsburg, a full-time position is available in the Department of Statistics (Prof. Dr. Yarema Okhrin) for 01.03.2022 for

 

a scientific associate (m/f/d)

 

with the possibility of a doctorate in an employment contract initially limited to 1.5 to 2 years. There will be an opportunity for extension at a later date. It is possible to occupy the position on a part-time basis.

 

The scope of duties includes participation in and design of international and national research projects, active participation in teaching and practical projects as well as the performance of other tasks within the scope of the chair's operation. The possibilities for a goal-oriented completion of a doctorate are given. Our main topics in research and teaching are financial market econometrics, data analysis and machine learning methods.

 

Recruitment requirements:

  • A university degree with above-average grades in a relevant subject (e.g., statistics, mathematics, data science, business mathematics, financial mathematics, computer science).
  • Very good knowledge of multivariate statistics, econometrics
  • Experience with machine learning methods
  • Very good knowledge of the English and German language.

The required qualifications must already be proven in the application documents by appropriate certificates. Remuneration will be paid up to pay group 13 TV-L if the personal and collective agreement requirements are met. The University of Augsburg has set itself the goal of increasing the proportion of female employees and expressly invites women to apply. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal.

 

Please send your complete application documents (including letter of motivation, curriculum vitae, references, certificates, and any other relevant evidence) by e-mail to:

 

Mr. Prof. Dr. Yarema Okhrin, Chair of Statistics, Faculty of Business and Economics, University of Augsburg, Universitätsstr. 16, 86159 Augsburg; E-Mail: karin.wuensch@wiwi.uni-augsburg.de.

 

For questions please contact Mrs. Karin Wünsch (karin.wuensch@wiwi.uni-augsburg.de).

 

The current projects and publications of the chair can be found under https://www.uni-augsburg.de/de/fakultaet/wiwi/prof/stat/okhrin/. 

 

 

 

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