University Assistant postdoctoral

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