Research and Teaching Associate

WU ZBP Career Center; Wien; Vor Ort; EUR 29.000 - 34.000; Vollzeit

Benefits dieser Stelle

Sechs Wochen Urlaub

Flexible Arbeitszeiten

Fortbildungsmöglichkeiten

Essenszulage und Mitarbeiterrabatte

Zusammenfassung

Die Wirtschaftsuniversität Wien sucht am Institut für Digitale Ökosysteme eine Research and Teaching Associate (80 %, 6-Jahres-Vertrag) ab Oktober 2026. Die Stelle fokussiert Forschung und Lehre im Bereich maschinelles Lernen, Informationssysteme, Big Data Analytics, KI-Sociotechnik und Datenqualität in einer neu formierenden Abteilung. Sie arbeiten in einem interdisziplinären Team, gestalten Kurse, betreuen Abschlussarbeiten und arbeiten an der Dissertation.

Internationale Konferenzen (z. B.

Qualifikationen

• Diplom/Masterabschluss in IS, Business Informatics, Math, Data Science, CS oder AI erforderlich.
• Gute Englischkenntnisse in Wort und Schrift; Deutschkenntnisse von Vorteil.
• Bereitschaft zu Lehre und Forschung, Teamarbeit.
• Programmier- und Datenanalyse-Kenntnisse, Python mit Pandas/Sklearn nützlich.

Aufgaben

• Forschung: Zusammenarbeit an laufenden Projekten und Entwicklung neuer Forschungsfragen.
• Lehre: Kurse planen, erstellen und durchführen; Betreuung von Studierenden.
• Dissertation: ein Drittel der Arbeitszeit dem Schreiben der Dissertation widmen.
• Organisation: Teamaufbau, Forschung und Lehraktivitäten unterstützen.
• Internationale Konferenzen: Teilnahme an ICIS/ECIS und weiteren Veranstaltungen.
• Netzwerkaufbau: Aufbau eines Netzwerks für Karriere in Wissenschaft/Industrie.

Kenntnisse

Machine learning

Big data analytics

Data quality

Python

English

German

Research

Teaching

Ausbildung

Diploma/Master in Information Systems

Jobbeschreibung

Wirtschaftsuniversität Wien

Research and Teaching Associate

3"> Stelle anzeigen

Publikationsdatum 05.08.2026

Stellenart Absolvent*in:

Arbeitspensum (%) 80 %

Arbeitspensum (%) 0 Stunden pro Woche

Branche Forschung

Funktionsbereich Data Science / Marktforschung

International Business

Gehalt EUR 2832.8 / Month

Stellenantritt Oktober 2026

Per Datum

Region Wien

You want to understand how things are connected and make a fundamental impact? We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the Institute for Digital Ecosystems.

Part-time, 30 hours/week

Starting October 01, 2026, and ending after 6 years

You want to conduct research and gain teaching experience? This position opens doors to a career in academia or business. Expect supportive teamwork and exciting research with a focus on machine learning-based information systems, big data analytics, sociotechnical criteria of AI, and data quality in a new academic unit located at the Institute of Digital Ecosystems.

What to expect

• Research: You will collaborate on ongoing research topics and projects as well as develop new research topics and projects jointly with the team. The focus will be on quantitative, analytical, design-oriented research in areas such as machine learning-based information systems, big data analytics, sociotechnical criteria of AI, and data quality. Expect intensive, collaborative, and potentially interdisciplinary efforts to develop, write, and publish well-rounded research that substantially advances the field.
• Teaching and Supervision: You will plan, create, and teach courses. Expect to advise students, co-supervise theses and exams, answer student questions, and give feedback.
• Writing a dissertation: You will be investigating your research topic and spending a third of your working hours on writing your dissertation.
• Organizational and administrative support: Expect working collaboratively on general tasks, especially related to the set-up of the team as well as research and teaching activities.
• Collaboration in a newly forming team: You will be part of a newly forming, interdisciplinary, and ambitious team and have the opportunity of close collaboration, supportive teamwork, and intensive mentoring. Expect a supervisor that is highly motivated to help you succeed.
• International conferences: You will have the opportunity to participate in leading conferences (e.g., ICIS, ECIS).
• Building up a personal network: You will build up your own network for the future, facilitating a career in either academia or business.

What you have to offer

• Academic degree: You have completed a diploma/master’s degree in one of the following subject areas that qualifies you for enrollment in a doctoral program at WU: Information Systems / Business Informatics, Mathematics, Data Science, Computer Science, Artificial Intelligence (or comparable). A (very) good degree is an advantage.
• Skills: You have knowledge of OR a deep interest to learn new skills in the research areas of machine learning-based information systems, big data analytics, sociotechnical criteria of AI, and data quality.
• Language skills: You are able to express yourself very well in both spoken and written English. Strong language skills in German are a substantial advantage.
• Motivation and personal characteristics: You are highly motivated for both research and teaching and have the ambition to produce strong results. Teamwork and reliability is highly important to you. You are righteous, curious, thorough, organized, and show initiative in work and communication.
• Programming / data analysis skills: You are interested in programming and have (initial) experience in conducting data analysis with code. Skills in Python and at least with the foundational libraries (e.g., pandas, sklearn, numpy etc.) are an advantage.
• Experience in research and teaching: If you already have experience in research and teaching (e.g., by working as a teaching and research assistant), especially in related areas, that is an advantage.
• Willingness to use multimedia teaching methods: You are prepared to use multimedia teaching and learning formats.

What we offer you

• Six weeks of vacation/Extra vacation time
• Flexible working hours
• Training opportunities
• A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
• Meaningful work in an open-minded, inclusive, and family-friendly environment
• A modern campus with spectacular architecture in the heart of Vienna
• Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
• Excellent accessibility by public transportation

The minimum monthly gross salary amounts to €2,832.08 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.

WU is committed to diversity and inclusion and actively encourages applications from people of all backgrounds. We particularly welcome applications from women. Not sure if your profile fully matches our requirements? Apply anyway! In case of equal qualification, female candidates will be given preference. Applicants with disabilities will be supported throughout each stage of the recruitment process. Candidates’ qualifications will be assessed in the context of their academic age.