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Research Assistant (m/f/d)
(Pay Scale E 13 TV-L, 100 %)

The research group Semantic Information Systems at the Institute of Computer Science of the Department of Mathematics/Computer Science/Physics is looking for a research assistant. The position is for a period of 3 years, starting as soon as possible. As part of the DFG project MODUS-II (Model-based Anomaly Pattern Detection and Analysis in Ubiquitous and Social Interaction Networks), the person holding the position is to develop novel methods from the field of interpretable/explanatory machine learning; this refers to, in particular, network- or graph-based modeling and learning methods (e.g. using graph-based machine learning, graph neural networks or pattern mining methods) in the field of explainable/interpretable anomaly detection on complex data (in particular, relating to sequential/dynamic network/graph data).

Your Duties:

• Participation in research and teaching of the research group, at the interface of the research areas Artificial Intelligence, Data Science and Big Data
• Peer-review publication of research results
• Participation in externally-funded funded research/projects
• Performing organizational tasks in the research group    
• The possibility to obtain a doctorate degree

Requirements:

• You will have completed an above-average academic degree (Master's or equivalent) in computer science, mathematics, physics, cognitive science or a related field of study with a focus in one of the above-mentioned research areas.
• In-depth knowledge of AI or data science methods and in at least one of the following areas
  • Interpretable machine learning
  • Deep learning on complex data
  • Relational machine learning

• In-depth knowledge of programming (e.g. Python, R, Java, C#)
• Very good English language skills (written and spoken)
• Independent, structured, self-reliant and team-oriented way of working

Additional Qualifications: Ideally, you have

• Excellent knowledge in at least one of the above-mentioned research areas
• First experiences in scientific work at a research institution or university
• In addition to the mastery of Python, very good knowledge of at least one other object-oriented programming language (e.g. Java)
• In-depth knowledge of deep learning frameworks (e.g. Tensorflow, PyTorch, PyG, etc.)
• Knowledge of network analysis methods (social network analysis, analysis of complex networks) and corresponding frameworks (e.g. igraph, NetworkX)

We offer: 

• An interesting position with exciting research tasks in the Semantic Information Systems research group at the Institute of Computer Science

The position is available on a full-time or part-time basis.

Osnabrück University is a family-friendly university and is committed to helping working/studying parents balance their family and working lives.

Osnabrück University seeks to guarantee equality of opportunity for women and men and strives to correct any gender imbalance in its schools and departments.

If two candidates are equally qualified, preference will be given to the candidate with disability status.

Please submit your application with the usual supporting documentation (Curriculum vitae, certificates, cover letter) to the secretariat of the Semantic Information Systems research group in the institute of computer science’s secretariat - Ms. Jantje Apfeld (sekretariat@informatik.uni-osnabrueck.de) to arrive by May 21, 2024. We look forward to receiving your application.

For further information regarding this vacancy, please contact: Prof. Dr. Martin Atzmüller – Mail:  martin.atzmueller@uni-osnabrueck.de.