University Assistant

vor 3 Monaten


Wien, Österreich Universität Wien Vollzeit

At the University of Vienna (15 faculties, 4 centres, about 188 fields of study, approx. 9.400 members of staff, more than 90.000 students) the position of a

**University Assistant (prae doc)**

**at the Department of Statistics and Operations Research***

is vacant.

**Identification number of advertisement**:
**14004**

The University of Vienna is offering a Ph.D. Research

Fellowship (University Assistant,prae doc) at the Department of

Statistics and Decision Support Systems (Faculty of Business, Economics

and Statistics).The position is meant to support a young scientist

through his or her Ph.D. research. Employment (30 hrs/week) is based

on a 3-year contract, with the option to extend for a year.

Application documents must include:

- Academic curriculum vitae
- Three letters of reference
- Letter of motivation
- List of publications
- Evidence of teaching experience (if available)
- Short doctoral project proposal
- Degree certificates

The employment contract is initially limited to 1.5 years and is automatically extended to a total of 3 years, unless the employer declares non-extension after 12 months at the latest. An extension to 4 years is possible in case of probation and corresponding work progress.

**Extent**
**of Employment**: 30 hours/week

Occupation group in accordance with collective bargaining agreement: -48 VwGr. B1 Grundstufe (praedoc)

On top of this relevant chargeable work experience determines the assessment to a particular salary grade.

**Areas of work**:
The successful applicant will enter the department's Ph.D. program

and is expected to work on the development and the analysis of statistical

methods for machine learning, particularly in

the context of high dimensional models and related models. Also, he/she

will gain some teaching experience at undergraduate and master’s level.

(Teaching according to the regulations of the collective bargaining agreement.)

within 12-18 months. Participation in teaching and independent teaching

of courses as defined by the collective agreement.

**Profile**:
A Master's or comparable degree in statistics, mathematics or

a closely related discipline (completed or pending completion),

a solid background in statistics, mathematical statistics and probability

theory as well as promising potential for original research. Excellent

command of written and spoken English.

Proficiency in R or a comparable software package.

**Research fields**:
**Main research field**

**Special research fields**

**Importance**
- Mathematics- Statistics- MUSTFor further information please contact Leeb, Hannes +43-1-4277-38620.

Human Resources and Gender Equality of the University of Vienna

**Identification number of advertisement**:
**14004



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