Research Assistant (f/m/d; TV-L 13) in the TrainSpot2 Project

January 12th, 2023

Development of metadata connectors for the national education platform in the TrainSpot2 project.

Job Type Research Assistant (PhD)
Extent Full time
Application Deadline 2022/12/31
Status Taken
Contact(s) Alexander Neumann
Michal Slupczynski

Our Profile

The Chair of Computer Science 5 (Information Systems and Databases), headed by Prof. Dr. Stefan Decker, is concerned with the formal analysis, prototypical development, and practical testing of information systems. Your task is to document and coordinate the distributed creation, integration, and evolution of data-intensive computer science applications in a quality-oriented manner. Concrete topics are information systems in engineering sciences, technology-supported teaching, and the Semantic Web.

Your Profile

  • Completed university studies (Master’s or comparable) in the field of computer science
  • Extensive knowledge in the areas of data engineering/databases and web technologies
  • Good communication and teamwork skills
  • A high degree of independence, commitment, and initiative
  • Good knowledge of German and English, both written and spoken
  • Interest in teaching and innovative concepts of technology-supported learning


Your Tasks

Together with scientists from RWTH Aachen University, the German Institute for Adult Education (DIE), the Technical University of Lübeck (TH Lübeck), the Eberhard Karls University of Tübingen (EKUT) and WBS TRAINING AG, you are working on the development of a technical and didactic infrastructure – Train-the-Trainer (TtT)-HotSpot – within the framework of the national education platform (NPB) and the funded project TrainSpot2. The platform to be created brings together providers and users of continuing education and self-learning offerings for the in-service acquisition of competencies by teachers of continuing education. The TtT offers will first be connected to the DIE platform about the exchange of catalog metadata, SSO and certificates for the data wallet. Based on this, the cross-platform exchange of competency-related offering data and competency and learning status data of learning instructors takes place. Chatbots are used as selection and navigation aids and to support self-directed learning. 

  • Research activities in BMBF projects
  • Supervision of student assistants
  • Supervision of further courses and student theses in the bachelor of computer science


Our Offer

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.

  • The successful candidate will be employed under a regular employment contract.
  • The position is to be filled at the earliest possible date and offered for a fixed term of two years.
  • The option to extend the contract to four years is available and desirable.
  • The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
  • This is a full-time position. If desired, part-time employment can be made possible.
  • There is the possibility of a doctorate.
  • The salary is based on the German public service salary scale (TV-L).

You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR) at


Your competencies lie in the development of knowledge-based web applications. You think creatively and grasp new knowledge quickly. You design and develop innovative software and master complex challenges in a team.

  • Master’s degree with excellent grades in Computer Science, Information Systems, Mathematics, or a related technical subject.
  • Very good written and spoken English skills (German would also be advantageous).
  • Excellent knowledge of web applications based on agile development processes (DevOps, Kubernetes).
  • Experience and interest in user-centric design and modern web UI development, as well as crowdsourcing and collaborative community applications
  • Experience and enjoy communicating and interacting with
    users of the software you develop
  • Ability to work as part of a team within your development team, as well as communicate and interact with teams in other packages you are building upon
  • Knowledge in several of the following areas: Web Science, Social Computing, Semantic Web