The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible.

The job posting includes two pre-doctoral positions, each for 30 hours per week.

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

Your personal sphere of influence:

The two postdoctoral positions are based in the newly established “Computer Science Education Group” (CSEG) within the “Didactics of Computer Science” professorship, led by Mag. Dr.techn. Bernhard Standl in the EDEN research group at the Faculty of Computer Science at the University of Vienna. The positions are situated within the research fields of computational thinking and AI literacy. The dissertations will focus on computer science education, with an emphasis on the empirical investigation of teaching and learning processes related to fundamental computational ways of thinking and acting, such as problem-solving processes, abstraction, modeling and pattern recognition as well as the understanding, application and reflection on artificial intelligence. A central research environment is the Computer Science Teaching and Learning Lab, where teaching and learning scenarios are developed, tested, empirically investigated and further refined in both school and university contexts. These positions offer the opportunity to contribute to a newly emerging research group, write a cumulative dissertation in computer science education and engage with national and international research networks. The selected pre-doctoral researchers will also be integrated into the UniVie Doctoral School of Computer Science (DoCS).

Your future tasks:

You actively participate in research, teaching & administration, which means:

You are working on your dissertation and its completion in the field of computer science education, specifically on computational thinking, AI literacy, fundamental concepts in computer science or digital literacy

• .
You develop and test computer science education workshops and teaching-learning scenarios for the Computer Science Teaching-Learning Lab and for use in schools
• .
You conduct these workshops in the Computer Science Teaching and Learning Lab and in school-based collaborative settings
• .
You conduct empirical research on the developed teaching and learning scenarios, evaluate the results and iteratively refine the concepts
• .
You author academic publications, conference papers and presentations
• .
You participate in research-based teaching as well as in school collaboration initiatives, knowledge transfer activities and organizational tasks within the research group
• .
We expect you to finalize your dissertation agreement within 12 months
• .
You hold courses independently within the scope of the provisions of the collective bargaining agreement
• .
You take on administrative tasks in research, teaching and administration
• .

This is part of your personality:

Completed Master's degree or Diploma in the field of computer science, teaching digital literacy and computer science, computer science education or a related field with a clear focus on computer science or computer science teaching and learning processes

• .
A strong interest in computer science education, AI literacy, computational thinking and empirical teaching and learning research
• .
Willingness to work on a dissertation in the field of computer science education
• .
Basic knowledge of empirical research methods or a willingness to develop these skills further
• .
Strong computer science and technical skills, particularly in programming, digital tools or computer science teaching and learning settings
• .
Excellent command of written and spoken German and English (C1 Level)
• .
A structured, independent and reliable work style, ability to work in a team, strong communication skills and a passion for interdisciplinary collaboration
• .

Desirable qualifications include:

Knowledge or experience in one or more of the following areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy

• .
Experience in schools, teacher education, learning support or educational work
• .
Initial experience with qualitative, quantitative or mixed-methods research designs, design-based research, instructional development or the evaluation of teaching and learning settings
• .

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 3.776,10 (on a full-time basis) (paid 14 times a year) increases if we can credit professional experience.

Duration of contract: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible.

Equal opportunities for all: We welcome every additional/new personality to the team!

It is that easy to apply:

With your scientific curriculum vitae / letter of inten

• t
A cover letter explaining why you are a good fit for the position and the research field of computational thinking / computer science educatio
• n
A brief outline of potential dissertation topics, approx. 1–2 page
• s
Proof of completion of a master’s or diploma progra
• m
Abstract of your master’s or diploma thesi
• s
If available: list of publications, proof of teaching experience, classroom experience, project collaboration or academic presentation
• s
Optional: a representative writing sample, e.g., master’s thesis, seminar paper or publicatio
• n
Via our job portal / Apply now - butto
• n