University assistant predoctoral 1

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

[[University assistant predoctoral]]

[[40 Faculty of Historical and Cultural Studies]]

Job vacancy starting: [[at the earliest possible date]] | Working hours: [[30]] | Classification CBA: [[§ 48 VwGr. B1 Grundstufe (praedoc)]]

Limited contract until: [[the position is limited to 36 months from the start of employment]]

Job ID: [[3245]]

Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. Does that sound like something for you? Welcome to our team!

You will work as a project assistant (Predoc) in the FWF funded project “Categorizing, Registering and Reporting of Mobility and Stay”. This project deals with registration practices (Meldewesen) in Austria from around 1850 to 1938. You can find more detailed information on the content and objectives of the project here [LINK].

Your work will include library and archival research, data collection and analysis, presentations, publishing, and organizing an international conference. You will be given the opportunity and support to develop and implement a dissertation project within the framework of the project or a sub-topic of the project.

• You have an excellent MA degree in history or a related subject, have very good knowledge of the history of mobility, administration, and/or police work in the 19th and 20th centuries.
• You have experience in archival work, are familiar with current concepts and methods of economic and social history; knowledge of descriptive statistics and/or methods of digital humanities (e.g. QGIS) would be an advantage.
• Excellent knowledge of German is a requirement. Knowledge of written and spoken English is an important working basis; knowledge of other languages of the Austro-Hungarian Monarchy would be a particular advantage.

Work-life balance: Our employees enjoy flexible, family-friendly working hours and work remote (upon agreement).
Inspiring working atmosphere: You are a part of an international academic team in a cooperative and supportive working environment.
Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.
Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.
Fair salary: Classification according to the FWF salary scheme
Limited contract: 36 months
Equal opportunities for everyone: We look forward to diverse personalities in the team!

Applications should be submitted in German and include:

• A cover letter/letter of motivation: describe your subject and topic-specific previous knowledge and your interest in the research project in a maximum of 3 pages.
• The MA thesis and, if available, a scientific publication
• A curriculum vitae (including a list of publications if already available)
• degree certificates
  

[[Mag. Dr. Sigrid Wadauer, Privatdoz.]]

[[sigrid.wadauer@univie.ac.at]]

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

Data protection
​Application deadline: [[20.11.2024]]