Auf einen Blick
- Aufgaben: Engage in research on Self-Fulfilling Prophecies and teach students while pursuing your Doctoral degree.
- Arbeitgeber: Join the vibrant University of Klagenfurt, a dynamic campus with 12,000 students in beautiful Austria.
- Mitarbeitervorteile: Enjoy personal development courses, career coaching, and a family-friendly culture in the stunning Alps-Adriatic region.
- Warum dieser Job: This role offers a unique chance to work on impactful research and collaborate with international experts.
- Gewünschte Qualifikationen: You need a Master's or Diploma in relevant fields, programming skills, and a passion for complex systems.
- Andere Informationen: Applications are open until January 8, 2025; start date is negotiable, but no later than March 3, 2025.
The University of Klagenfurt is pleased to announce the following open position at the Department of Business Management at the Faculty of Management, Economics & Law with a negotiable starting date, commencing on March 3, 2025, at the latest:
University assistant predoctoral (all genders welcome)
Level of employment: 75 % (30 hours/week)
Minimum salary: EUR 37,577.40 per annum (gross); classification according to collective agreement: B1
Contract duration: 3.5 years
Application deadline: January 8, 2025
Reference code: 767/24
Tasks and responsibilities:
Research in a project for studying Self-Fulfilling Prophecies from the perspective of complex systems and management control, emphasizing the impact of digital technologies
Independent scientific work with the aim to submit a dissertation and acquire a Doctoral degree
Teaching and student supervision in the domain of the project
Engagement in networking and science communication
Prerequisites for the appointment:
Completed Diploma or Master’s degree from a recognized higher educational institution in complex systems, computer science, economics, engineering, or physics or cross-disciplinary combinations of these fields. The completion of this degree must be fulfilled no later than two weeks before the starting date; hence, the last possible deadline for meeting this requirement is February 17, 2025
Fundamental knowledge in three or more of the following subjects: complex systems, emergence, opinion dynamics, networks, multi-agent systems, control, resilience, social media
Proven mathematical modelling capabilities
Openness to behavioural, economic, and societal questions
Proven programming skills in one or more among Python, Netlogo, MATLAB, R, C++ or Java
Fluent in written and spoken English
Additional desired qualifications:
Very good scientific communication and dissemination skills (scientific writing and oral presentations)
Knowledge of German
Good social competences and ability to work in a team
First scientific contributions like publications
Relevant experience abroad
Our offer:
This position serves the purposes of the vocational and scientific education of graduates of Master’s or Diploma degree programmes and sets the goal of completing a Doctoral degree / a Ph.D. Applications by persons who have already completed a Doctoral degree or a subject-relevant Ph.D. programme therefore cannot be considered.
The employment contract is concluded for the position as university assistant (predoctoral) and stipulates a starting salary of EUR 2,684.10 gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the collective agreement).
The project team consists of the Predoc Scientist, Professors Friederike Wall and Christian Bettstetter, and international collaboration partners. The two advisors come from different disciplines, namely management control and engineering, but share similar problem structures and methods in the domain of complex dynamical systems. Friederike Wall works on modelling and simulation of systems with boundedly rational agents and behavioural control mechanisms, analysing emergence and social dynamics in different contexts, and deriving effective control systems. Christian Bettstetter contributes modelling and simulation of stochastic and mobile networks, analysing emergence and its dynamics, analysing information propagation in large networks, and designing concepts for robustness.
The University of Klagenfurt is a young and vibrant campus university hosting 12,000 students. It is located in the southern part of Austria, a region with outstanding quality of life at the intersection of Alpine and Mediterranean culture.
The University of Klagenfurt also offers:
Personal and professional advanced training courses, management and career coaching
Numerous attractive additional benefits, see also Diversity- and family-friendly university culture
The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports
The application:
If you are interested in this position, please apply in English providing the following documents:
Letter of application
Curriculum vitae (with clear information about the degrees including date/place/grade, the experience acquired including programming and mathematical modelling, the thesis title, the list of publications if any, and any other relevant information)
Copy of the degree certificates and transcripts of the courses including grades
Any certificates that can prove the fulfilment of the required and desired qualifications listed above (e.g., the submission of the final thesis/dissertation if required by the degree programme, copy of publications, programming skills certificates, language skills certificates etc.)
Final thesis or other study-related written work (like seminar reports) or excerpts thereof
If an applicant has not received the Diploma or Master’s degree by the application deadline, the applicant should provide a declaration, written either by a supervisor or by the candidate themselves, on the feasibility of finishing the Diploma or Master’s degree by February 17, 2025 at the latest.
To apply, please select the position with the reference code 767/24 in the category «Scientific Staff» using the link «Apply for this position» in the job portal at jobs.aau.at/en/.
For further information on this specific vacancy, please contact Professors Friederike Wall ( ) or Christian Bettstetter ( ). General information about the university as an employer can be found at At the University of Klagenfurt, recruitment and staff matters are accompanied not only by the authority responsible for the recruitment procedure but also by the Equal Opportunities Working Group and, if necessary, by the Representative for Disabled Persons.
The University of Klagenfurt aims to increase the proportion of women and therefore specifically invites qualified women to apply for the position. Where the qualification is equivalent, women will be given preferential consideration.
People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.
Travel and accommodation costs incurred during the application process will not be refunded. Under exceptional circumstances online hearings may be possible.
Translations into other languages shall serve informational purposes only. Solely the version advertised in the University Bulletin (Mitteilungsblatt) shall be legally binding.
Alpen-Adria-Universität Klagenfurt | University assistant predoctoral (all genders welcome), Department of Business Management Arbeitgeber: Alpen-Adria-Universität Klagenfurt
Kontaktperson:
Alpen-Adria-Universität Klagenfurt HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Alpen-Adria-Universität Klagenfurt | University assistant predoctoral (all genders welcome), Department of Business Management
✨Tip Number 1
Familiarize yourself with the research areas of Professors Friederike Wall and Christian Bettstetter. Understanding their work on complex systems and management control will help you tailor your discussions during the interview.
✨Tip Number 2
Engage in networking within academic circles related to complex systems and digital technologies. Attend conferences or workshops where you can meet professionals in the field, which could lead to valuable connections.
✨Tip Number 3
Prepare to discuss your programming skills in detail, especially in Python, MATLAB, or R. Be ready to provide examples of projects or coursework where you've applied these skills effectively.
✨Tip Number 4
Showcase your ability to communicate scientific concepts clearly. Practice explaining your previous research or projects in a way that is accessible to those outside your immediate field, as this will be crucial for teaching and networking.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Alpen-Adria-Universität Klagenfurt | University assistant predoctoral (all genders welcome), Department of Business Management
Tipps für deine Bewerbung 🫡
Understand the Requirements: Make sure to thoroughly read the job description and understand the prerequisites for the position. Highlight your completed Diploma or Master's degree and relevant skills in complex systems, programming, and mathematical modeling.
Craft a Strong Letter of Application: Your letter should clearly express your motivation for applying, your research interests, and how your background aligns with the project on Self-Fulfilling Prophecies. Be specific about your experiences and how they relate to the tasks outlined in the job description.
Detail Your Curriculum Vitae: In your CV, provide clear information about your degrees, including dates, places, and grades. Include any relevant experience, such as programming skills and publications, and ensure it is well-organized and easy to read.
Prepare Supporting Documents: Gather all necessary documents, including copies of your degree certificates, transcripts, and any certificates proving your qualifications. If you haven't completed your degree by the application deadline, include a declaration regarding your expected completion date.
Wie du dich auf ein Vorstellungsgespräch bei Alpen-Adria-Universität Klagenfurt vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to complex systems and management control. Highlight any relevant methodologies you used and the outcomes of your work.
✨Demonstrate Programming Proficiency
Since programming skills are crucial for this position, be ready to talk about your experience with languages like Python, MATLAB, or R. If possible, provide examples of projects where you applied these skills effectively.
✨Engage in Scientific Communication
Prepare to discuss your scientific writing and presentation experiences. Being able to communicate complex ideas clearly is essential, so think of examples where you've successfully conveyed your research to different audiences.
✨Express Your Interest in Collaboration
The role involves working with a diverse team, so emphasize your ability to collaborate across disciplines. Share any past experiences where you worked in a team setting, particularly in an international context.