We are looking for two assistant professors to strengthen our research related to the complete data pipeline, ranging from data generation by humans or machines, via data curation following the FAIR principles to data modelling and analytics. Algorithmic challenges include inductive and deductive reasoning and data analytics techniques,with a focus on graph data and graph representations in various challenging application domains, where representing different types of knowledge and data from heterogeneous sources plays an important role. Applications in high-risk domains require models and technologies to improve the data quality, and to increase both the transparency of data manipulation pipelines and the analysis technologies themselves. To achieve this, we are particularly interested in robustness and explainability, both for symbolic as well as neuro-symbolic approaches.
Depending on your profile, you will be embedded in one of our research groups User-centric Data Science (UCDS), Knowledge in AI (KAI), Quantitative Data Analytics (QDA), Learning and Reasoning (L&R) or Knowledge Acquisition, Reasoning, and Management (KARMA). Are you an expert in a field related to Data Modelling and Analytics, and want to join our teams at the VU as an Assistant Professor?
The successful applicants will receive a career track appointment (1.5 years) with a view to a permanent position after a positive evaluation. Do not hesitate to contact us if you want to discuss whether your qualifications are satisfactory for applying to the position. We encourage any person to apply for this position that can contribute to the diversity of our group, and the department of computer science in general.
Your dutiesThe tenure track/career track positions start at the level of assistant professor in the areas of research, education, and management (40%:40%:20%), and contains the following duties:
- Setting up and leading a research line in the area of graph data modeling and analytics;
- Performing research in this field and be or become visible in the international data community;
- Teaching courses in the Bachelor and Master Artificial Intelligence and other relevant programs;
- Supervision of Bachelor, Master, and PhD students;
- Initiating and contributing to research grant proposals;
- Contributing to administrative tasks.