FAM-ily  

Financial and Actuarial Mathematics  
TU Wien, Austria  

 
2019-04-15

STELLE NICHT MEHR VAKANT - BITTE NICHT MEHR BEWERBEN!!!

The University of Vienna (20 faculties and centres, 178 fields of study, approx. 9.600 members of staff, about 92.000 students) seeks to fill the position from 01.06.2019 of a

University Assistant (prae doc)
at the Research Platform Data Science @ Uni Vienna

to 31.05.2022.

Reference number: 9550

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 one enthusiastic PhD student to establish an interdisciplinary research environment. The PhD student will be hosted in one of the faculties of Computer Science, Mathematics, or Business, Economics and Statistics. The PhD student will be co-supervised by members of at least two different faculties and work on research problems in the domain Finance. The focus in this area is described on our website: http://datascience.univie.ac.at

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 economy, business informatics, 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 the application area Finance

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), Process Mining, Prescriptive Analytics (Integration of Data Analysis and Optimization) applied to the application area Industry 4.0
  • 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

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 10.05.2019, mentioning reference number 9550.

For further information please contact Hautsch, Nikolaus +43-1-4277-38680.

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: 9550
E-Mail: jobcenter@univie.ac.at
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