University Assistant (prae doc) at the Department of Statistics and Operations Research
The University of Vienna (20 faculties and centres, 179 fields of study, approx. 10.000 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a
University Assistant (prae doc)
at the Department of Statistics and Operations Research
Reference number: 12368
The positions are meant to support young scientists through their Ph.D. research. The announcement is made for four years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of four years, unless the employer submits a declaration of non-renewal after a maximum of 12 months.
The successful applicants will enter the department’s Ph.D. program and are expected to work on one of the following topics: nonparametric adaptive estimation of covariance matrices, Bayesian approaches to dimension reduction techniques or classification of dependent data.
- We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months
- Participation in teaching and independent teaching of courses as defined by the collective agreement
A Master’s or comparable degree in statistics, mathematics, or a closely related discipline (completed or pending completion); a solid background in mathematical statistics and probability theory; and a promising potential for original research.
Main research field
Special research fields
Very good knowledge
Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (
http://jobcenter.univie.ac.at) no later than 01.11.2021, mentioning reference number 12368.
For further information please contact Krivobokova, Tatyana +43-1-4277-38632, Sobotka-Tompits, Sabine +43-1-4277-38631.
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (
http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.