Reference number : 8347

Data Science @ Uni Wien is a new research platform at the University of Vienna that presents a hub on all activities in data science at the University of Vienna. We have openings for five enthusiastic PhD students to establish an interdisciplinary research environment. The PhD students will be hosted in one of the faculties of Computer Science, Mathematics, or Business, Economics and Statistics.
Each of the PhD students will be co-supervised by members of at least two different faculties and work on research problems in one of five domains, Astronomy, Digital Humanities, Finance, Industry 4.0, Medical Sciences. The focus in these areas is described on our website: http://datascience.univie.ac.at



Duration of employment: 3 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.
- 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:
A university or college degree (at least a Masters degree or equivalent): a degree in computer
science, mathematics, statistics, or similar although knowledge of data analysis basics is a core
requirement. In addition, we are looking for candidates with:
● Excellent command of written and spoken English
● High ability to express yourself both orally and in writing
● Very good people skills
● Ability to work independently / creatively
● Ability to work in a team.

The following additional skills are of great value:
● Good programming skills (C++, Java, Python, R, or Matlab)
● Good math and stats skills
● Knowledge and interest in one of the application areas (Astronomy, Digital Humanities,
Finance, Industry 4.0, Medical Science)
Applications including:
● Letter of motivation that clarifies the candidate’s particular domain(s) of interest and the target phd programme
● Curriculum vitae
● List of publications
● Evidence of teaching experience (if available)
● Degree certificates
● Knowledge and interest in Advanced Methods of Data Analysis (Regression, Machine Learning, Data Mining, or Visual Data Analysis), applied to one of the application areas listed above
● Teaching experience / experience of working with e-learning
● Experience abroad
● Basic experience in research methods and academic writing
● Project management skills

Application documents
● Letter of Motivation including ideas for a prospective doctoral project proposal
● Curriculum vitae
● List of publications, evidence of teaching experience (if available)
● Degree certificates


Research fields:

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 30.04.2018, mentioning reference number  8347.

For further information please contact Möller, Torsten +43-1-4277-79010.

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: 8347
E-Mail: [email protected]