University assistant predoctoral

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an

University assistant predoctoral

39 Faculty of Computer Science

Job vacancy starting: 05/01/2024 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 04/30/2028

Job ID: 2133

Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team!

The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position of a University assistant (prae doc) as soon as possible, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant

The Faculty of Computer Science at the University of Vienna has world-leading researchers in computer science who conduct both basic and applied research. We offer an excellent working environment in a young, creative and international team. As a member of the Data Mining team, you will work on exciting data mining projects and have the opportunity to take on responsibility at an early stage, publish the results at leading international conferences and exchange ideas with international and interdisciplinary cooperation partners.

Participation in research, teaching and administration:

• Participation in research projects / research studies
• Participation in publications / academic articles / presentations
• We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
• Participation in teaching and independent teaching of courses as defined by the collective agreement
• Supervision of students
• Involvement in the organisation of meetings, conferences, symposiums
• Involvement in the department administration as well as in teaching and research administration

The research should focus on data mining, e.g. clustering, representation learning, causality detection and graph mining.

• Master in Computer Science or equivalent qualification with a strong focus on Computer Science with excellent marks.
• Very good German and English language skills.
• Very good mathematical understanding
• Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python
• Strong ability to work in teams
• Perseverance and ability to make things done
• High motivation to publish at the top-level conferences

Desirable qualifications are

• Experience in one or more of the following fields: Clustering, representation learning, deep learning
• Teaching experience / experience of working with e-learning
• Knowledge of university processes and structures
• Experience abroad
• Basic experience in research methods and academic writing

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 everyone: We look forward to diverse personalities in the team!

Duration of contract:

The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.

The position will be filled from 01.05.2024 to 30.04.2028 for 4 years.

• Curriculum vitae
• Letter of Motivation including ideas for a prospective doctoral project proposal
• Abstract of master thesis
• Degree certificates
• List of publications, evidence of teaching experience (if available)

The University of Vienna pursues a non-discriminatory employment policy and attaches great importance to equal opportunities and diversity (http://diversity.univie.ac.at/). The University attaches particular importance to increasing the proportion of women in managerial and academic positions. Where qualifications are equal, preference is given to female applicants.

The candidate who is selected for this position joins the DoCS as a doctoral student member.

For further information please contact Claudia Plant, claudia.plant@univie.ac.at

Claudia Plant

claudia.plant@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: 05/01/2024