PhD or Postdoc position (m/f/d) for the research area of Graph Data Systems

Chair of Data Systems

PhD or Postdoc position (m/f/d) for the research area of Graph Data Systems

in full time.

About us

The newly founded Chair of Data Systems at the University of Bayreuth, led by Prof. Ruben Mayer, is dedicated to perform high-quality research in the area of large-scale distributed systems for data management. We aim to solve real-world problems with data at scale.

Requirements

Master’s degree in computer science with very good results
Interest on topics around the area of distributed systems and data management
Basic knowledge in distributed systems and graph algorithms is desired
Hand-on experience with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is a plus
Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages such as C++, Python or Java
Excellent command of English
Very good writing skills
High engagement, high motivation, pro-active communication skills, and high social skills

Your tasks

Graphs are a fundamental data structure and are commonly used to model relationships between data points such as links between web pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly efficient for it, maintaining and integrating a zoo of graph data systems is a huge challenge and leaves a lot of room for optimizations.

Our vision is to explore opportunities to unify core parts of the different types of systems and develop a core graph data system that can serve as a common building block. This way, redundancies in keeping multiple copies of graph data in different systems could be reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently finished his/her Master’s degree or PhD degree in computer science.

The position is fixed-term according to the “Wissenschaftszeitvertragsgesetz” and serves the own scientific qualification (doctorate) with remuneration according to pay group 13 TV-L, as far as the employment takes place in an employment contract. As a post-doc with a completed doctorate, employment as an academic councillor in temporary civil service in grade A13 is possible for an initial period of three years. In all other respects, the hiring requirements according to the Bavarian University Innovation Act (BayHIG) apply.

We offer

Work in a highly innovative environment
Supervision at one of the leading universities of Germany
Funds for travel and student assistants (HiWis) are available
We will consider all incoming applications until the position is filled.

Application

The University of Bayreuth appreciates the diversity of its employees as an enrichment and is expressly committed to the goal of equal opportunities for all genders. Women are strongly encouraged to apply. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Club "Familie in der Hochschule e.V.", and has successfully participated in the HRK audit "Internationalization of the University". Persons with severe disabilities will be given preferential consideration if they are equally qualified.

We look forward to receiving your application. Required documents: Curriculum vitae, a short letter of motivation, if applicable a list of publications (also blog contributions and software projects) and complete transcripts of your Bachelor and Master studies.