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Open Position as Student Research Assistant in Natural Language Processing (NLP)

Last modified Jun 20

The Chair of Software Engineering for Business Information Systems is looking for motivated students to join the team as a student assistant within the research project Research Institution Knowledge Graph (RIKG), at the earliest possible time.

Activities:

  • Research in the areas of natural language processing (NLP), artificial intelligence and knowledge engineering. In particular, focus on the intersection of Knowledge Graphs and NLP.
  • Data preprocessing, training state-of-the-art NLP models, constructing Knowledge Graphs, and evaluation of research results. 
  • Involvement in the implementation of modern, web-based, information systems to enhance knowledge exploration in research institutions.

Benefits and Opportunities:

  • Practical experience in a running research and software development project
  • Software development based on modern design methods
  • Novel insights into current research about NLP and knowledge graphs
  • Personal contact with research and industry in terms of well-known industry and research partners
  • Possibility to conduct a bachelor's or master's thesis as well as guided research
  • Diverse and exciting tasks
  • Flexible working hours
  • Opportunity to contribute to publications
  • Remote work possible

Requirements:

  • Reliable, highly motivated, and independent way of working
  • Very good analytical skills
  • Depending on the activities (can be discussed in a first meeting):
    • First academic research and writing experience
    • Good skills in Machine Learning and Natural Language Processing using Python 
    • Optional: programming skills in full-stack web application development (JavaScript or Python)
    • Optional: basic knowledge about Neo4j and Knowledge Graphs
    • Optional: knowledge in configuring and maintaining web applications 

Contact:

If you are interested, please contact Tim Schopf (tim.schopf@tum.de) with your application, including current CV and transcript of records.