Research Assistant (PostDoc), Field of Graph Learning

The research group Data Mining & Machine Learning at the Faculty of Computer Sciences at the University of Vienna invites applications for the position of a research assistant (PostDoc) in the Field of Graph Learning.

The research group Data Mining & Machine Leraning is divided into 4 working groups, whereby this position is located in the working group of Ass.-Prof. Nils Kriege, Machine Learning with Graphs https://dm.cs.univie.ac.at/mlg/ . It offers a pleasant working atmosphere in a dynamic, international, young team that works at the cutting edge of research and technology.

This advertised position is funded by the FFG as part of the project GNNRecSys: Geometric deep learning based recommender engine with implicit feedback data. You will work on the development of new techniques for graph-based recommender engines based on graph neural networks (GNNs). This includes the development of new methods, e.g., GNNs for heterogeneous graphs and scalable GNNs, as well as the practical implementation and experimental evaluation.

We offer a wide range of professional and personal development opportunities, early assumption of responsibility in research projects, and international exchange. 

The position will be limited to 15 months and is to be filled as soon as possible. The employment is over 40h/week.

Job Description

Participation in research and administration:

• Participation in research projects / research studies
• Participation in publications / academic articles / presentations
• Participation in teaching and supervision of students (optional)
• Involvement in the organisation of meetings, conferences, symposiums
• Involvement in the department administration as well as in teaching and research administration

Minimum requirements

• Excellent basic knowledge of Machine Learning and Data Mining
• Strong programming skills
• Demonstrable interest in scientific work and in publishing activities
• PhD or Doctoral degree or equivalent education
• Excellent command of written and spoken English
• Team player with strong social skills
• Ability to work independently and reliably

Desirable qualifications are:

• Solid knowledge and interest in at least one of the following: Graph Neural Networks, Recommender Engines
• Experience with PyTorch Geometric
• Practical experience in the realization of industrial projects

Documents to be submitted: 

• Letter of Motivation including a description of research interests 
• Curriculum vitae
• List of publications, evidence of teaching experience (if available)
• Degree certificates
• References (if available)

Dauer der Befristung: 15 Monate 

Beschäftigungsausmaß: 40 Stunden/Woche

Classification according to collective agreement: §48 VwGr. B1 lit. b (postdoc) - – Salary 4.061,50