Job title:
University assistant predoctoral
Company
Job description
Offer DescriptionJob description: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/anUniversity assistant predoctoral39 Faculty of Computer ScienceStartdate: 01.03.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)Limited until: 29.02.2028Reference no.: 2929Explore 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!Where to apply WebsiteRequirementsSpecific RequirementsYour personal sphere of influence: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 Explainable AI (xAI).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.Your future tasks:You will be actively involved in research, teaching and 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
Requirements:
- Completed Master’s degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related field
- High analytical skills
- Experience in the field of interdisciplinary research
- High level of written and oral communication skills
- Very good command of written and spoken English
- IT user skills
- Cooperative, team-oriented and proactive behavior
- Excellent knowledge in the areas of human-computer interaction, explainable AI, qualitative research, planning and conducting interview studies
- Excellent academic academic achievements, especially first publications in the field of explainable AI with a focus on understanding algorithms by various stakeholders, especially at ACM FAccT, ACM AIES, International Journal of Human-Computer Studies or similar
- Strong written and oral communication skills
The following are also desirable:
- Teaching experience
- Knowledge of university processes and structures
- Experience abroad
Additional InformationBenefitsWhat 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 all: We welcome every additional/new personality to the team!Work Location(s)Number of offers available 1 Company/Institute Universität Wien Country Austria City Wien Postal Code 1010 GeofieldContact CityWien WebsiteStreetUniversitätsring 1 Postal Code1010STATUS: EXPIREDShare this page
Expected salary
€3578.8 per month
Location
Wien
Job date
Thu, 17 Oct 2024 05:51:40 GMT
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