University assistant predoctoral

27 Feb 2024
Job Information

Organisation/Company

Universität Wien

Research Field

Computer science » Other

Researcher Profile

First Stage Researcher (R1)

Country

Austria

Application Deadline

15 Mar 2024 - 23:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

30

Offer Starting Date

11 Mar 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Job description:

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an 

University assistant predoctoral
39 Faculty of Computer Science
Startdate: 11.03.2024 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: permanent
Reference no.: 2012

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 More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team!
 

Requirements
Specific Requirements

Your personal sphere of influence:

The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a University Assistant (prae doc), for a limited period of 6 months at the Research Group Workflow Systems and Technology at the Faculty of Computer Science, University of Vienna under the supervision of ao. Univ.-Prof. tit. Univ.-Prof. Dipl.-Ing. Dr. Erich Schikuta.

The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research. The UniVie Doctoral School Computer Science (DoCS) builds an essential framework to foster excellence in research and teaching. Its main focus is on young prospective researchers eager to make an impact on both basic research as well as applied problems with collaborations across the University and beyond. The DoCS aims to provide these young researchers with the broad knowledge and expertise needed to perform Computer Science research at the highest achievable quality. The Doctoral School trains doctoral candidates in solving basic as well as applied research questions of high relevance.

Your future tasks:

Participation in research, teaching and administration:

• Participation in research projects/research studies
• Participation in publications/academic articles/presentations
• 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
• The research should focus on Decision Mining in Process-Aware-Information-Systems

This is part of your personality:

• Master's degree or Diploma in Computer Science
• Excellent command of written and spoken English
• Teaching experience
• Experience in research methods and academic writing
• Experience in publishing in peer-reviewed publication media (i.e. journals and conferences)
• Experiences in presenting at conferences

Desirable qualifications are

• Knowledge of university processes and structures
• Knowledge of Process-Aware-Information-Systems
• Background in Process Mining
• Experience with tools such as ProM or Py4PM

Additional Information
Benefits

What we offer:

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. 

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace 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: The basic salary of EUR 3578,80 (on a full-time basis) increases if we can credit professional experience.

Equal opportunities for everyone: We look forward to diverse personalities in the team!

Work Location(s)

Number of offers available

1

Company/Institute

Universität Wien

Country

Austria

City

Wien

Postal Code

1010

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Wien

Website

http://www.univie.ac.at

Street

Universitätsring 1

Postal Code

1010

STATUS: EXPIRED