University Assistant postdoctoral at Universität Wien

, , Austria -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

5014.3

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Machine Learning, Clustering, Graph Mining, Representation Learning, Programming, Mathematics, English Proficiency, Teaching, Academic Publishing, Research Project Management, Student Supervision

Industry

Government Administration

Description

#jobreq_print_container div div div:first-child h2 { display: none; } At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University Assistant postdoctoral 39 Faculty of Computer Science Job vacancy starting: 09/01/2026 | Working hours: 20,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 08/31/2032 Job ID: 5739 Your personal sphere of play: Your future position is at the research group Data Mining and Machine Learning at the Faculty of Computer Science, within the Data Mining team of Prof. Claudia Plant characterized by excellent research in unsupervised data mining and machine learning, especially clustering, graph mining and representation learning. We are offering an excellent working environment in a young, creative, diverse and international team. As a member of the Data Mining team, you will contribute to fascinating data mining projects offering the possibility to take over responsibility at an early stage, to publish the results at leading international conferences and to exchange ideas with international and interdisciplinary cooperation partners. We provide intensive support during your postdoc phase. Your future tasks: Active participation in research, teaching & administration, which means: You build up an independent research profile in the field of data mining and machine learning. You are involved in research projects and scientific studies in the area of clustering, graph mining and representation learning. You publish internationally and give lectures. You apply for projects and raise third-party funds. You can prepare and complete a habilitation. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You supervise and co-supervise students and PhD students. You participate in the organization of meetings, conferences, and symposiums. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in computer science with a focus on data mining. Profound research experience documented by publications at the leading conferences such as KDD, ICDM, WWW on the topics of clustering, graph mining, and representation learning. Outstanding dissertation Excellent knowledge of programming and mathematics Excellent knowledge of English (C1) Team player and high social/communicative skills Teaching experience at the undergraduate and graduate levels. Prior industrial or international experience as a researcher. What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (on a full-time basis, 14 times a year) for a period of 6 years increases if we can credit professional experience. It is that easy to apply: With your scientific curriculum vitae With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree If you have any content questions, please contact: 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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/16/2026 Post Doc

Responsibilities

The role involves building an independent research profile in data mining and machine learning while publishing results at international conferences. Responsibilities also include teaching courses, supervising students, and applying for third-party funding.