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
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:
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.)
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.
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:
To receive full consideration, applications must include vita, transcripts, at least three letters of reference, and a research statement; must be submitted on or before 05.06.2023 and must refer to identification number 14004.
Applications can be submitted by email to hannes.leeb@univie.ac.at or by mail to Hannes Leeb, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria, or online at https://jobcenter.univie.ac.at.
For further information please contact Leeb, Hannes +43-1-4277-38620.
The University of Vienna intends to increase the number of women on its faculty, particularly in high-level positions, and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.
Human Resources and Gender Equality of the University of Vienna
Identification number of advertisement: 14004
E-Mail: jobcenter@univie.ac.at
University Assistant (prae doc)
at the Department of Statistics and Operations Research
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.)
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.
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
MUST
To receive full consideration, applications must include vita, transcripts, at least three letters of reference, and a research statement; must be submitted on or before 05.06.2023 and must refer to identification number 14004.
Applications can be submitted by email to hannes.leeb@univie.ac.at or by mail to Hannes Leeb, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria, or online at https://jobcenter.univie.ac.at.
For further information please contact Leeb, Hannes +43-1-4277-38620.
The University of Vienna intends to increase the number of women on its faculty, particularly in high-level positions, and therefore specifically invites applications by women. Among equally qualified applicants women will receive preferential consideration.
Human Resources and Gender Equality of the University of Vienna
Identification number of advertisement: 14004
E-Mail: jobcenter@univie.ac.at
