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 Research Group Data Mining and Machine Learning


Reference number: 12314

The research group Data Mining & Machine Learning at the Faculty of Computer Sciences invites applications for the position of a research assistant aiming at a PhD degree in the area of Machine Learning (especially Reinforcement Learning or probabilistic Models - supervised by Ass.Prof. Sebastian Tschiatschek https://dm.cs.univie.ac.at/about-us/probabilistic-and-interactive-machine-learning/). You will work on interesting and challenging research questions in the area of machine learning in a pleasant work environment within a friendly, dynamic, international and young team. There are many opportunities to grow academically as well as personally, including possible team leads in research projects and exchanges on an international scale. We provide a close supervision of the thesis work and a highly collaborative research environment.

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 employment is over 30h/week.



Duration of employment: 4 year/s

Extent of Employment: 30 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade.

Job Description:
Participation in research, teaching and administration:
- Participation in research projects / research studies
- Participation in publications / academic articles / presentations
- 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
- Supervision of students
- Involvement in the organisation of meetings, conferences, symposiums
- Involvement in the department administration as well as in teaching and research administration


Profile:
Master in Computer Science, Mathematics or Statistics, excellent knowledge English (in speaking and writing)
– team player with strong social skills
- excellent basic knowledge of machine learning & basic knowledge in the area of reinforcement learning or probabilistic models
- ability to work independently and reliably.


Desirable qualifications are:
- teaching experience
- project management skills
- solid knowledge and interest in at least one of the following machine learning topics: probabilistic models, reinforcement learning, active learning, deep learning
- good programming skills (Python and a deep learning framework like PyTorch or Tensorflow)
- practical experience in the realization of machine learning projects
- interest and experience in research and publishing Application documents - Letter of Motivation including a description of research interests and ideas for a prospective doctoral project proposal
- Curriculum vitae
- List of publications, evidence of teaching experience (if available)
- Degree certificatess - References (if available)



Research fields:
Main research field
Special research fields Importance
Computer Sciences
Machine learning MUST



Languages:
Language
Language level Importance
English
Very good knowledge MUST



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 26.09.2021, mentioning reference number 
12314.

For further information please contact Tschiatschek, Sebastian +43-1-4277-79511.

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.

Human Resources and Gender Equality of the University of Vienna
Reference number: 12314
E-Mail: jobcenter@univie.ac.at
Privacy Policy of the University of Vienna


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