University assistant predoctoral

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

39 Faculty of Computer Science

Job vacancy starting: | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 11/30/2028

Job ID: 2928

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!

The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science develops methods of machine learning and artificial intelligence, especially in the areas of reinforcement learning and deep probabilistic models, and deals with the interaction of these methods and their users, e.g. with a focus on the efficient training of AI agents through human feedback. To strengthen our team, we are looking for a university assistant with a focus on Learning Theory, Representation Learning for Reinforcement Learning.

The employment contract is initially limited to 1.5 years and is automatically extended to a total of 3 years, unless the employer declares non-renewal after a maximum of 12 months. An extension of up to 4 years is possible if the candidate proves himself/herself and makes appropriate progress.

You are actively involved in research, teaching & administration, which means:

• Participation in research projects / scientific studies Participation in publications / scientific articles / lecturing activities
• Participation in conferences and publication of your research results in journals and at conferences
• Conclusion of a dissertation agreement within 12-18 months (if not already in place)
• Participation in and independent teaching of courses in accordance with the provisions of the collective agreement
• Supervision of students
• Participation in the organization of meetings, conferences, symposia
• Participation in the administration of the institute, teaching and research

• Completed Master's degree (or comparable degree) in computer science, mathematics, data science or a related field
• High analytical and mathematical skills
• High level of written and oral communication skills
• Very good written and spoken English skills
• IT user skills
• Cooperative, team-oriented and proactive behavior
• Excellent knowledge of learning theory with a focus on represention learning for reinforcement learning and excellent general knowledge in the field of machine learning
• Outstanding academic achievements, especially first research results
• Research results in the outlined field of work with publication potential or first publications
• High level of written and oral communication skills

The following are also desirable

• Teaching experience
• Knowledge of un

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

Please submit the following documents:

• Cover letter / letter of motivation; in particular, briefly describe your suitability and previous knowledge with regard to the call for applications (max. 2 pages)
• Academic CV / letter of intent (incl. a description of your teaching experience, if available)
• List of publications (if available)
• Proof of teaching experience (if available)
• Degree certificates Application via our job portal / Apply now button

Sebastian Tschiatschek

sebastian.tschiatschek@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: 10/20/2024