If you are selected you will work on the conception, implementation and evaluation of either a process for continuous user support in the creation of graphical simulation models, or a method for intuitively querying and analyzing development data in a DFG/BMBF cooperation project. Both projects pursue the overall goal of supporting software and systems development projects and increasing their quality.

The positions are remunerated according to TV-L E13 and can be full-time or part-time. The opportunity for a doctorate is offered and intensively supported by itemis.

Aspects of activity include:

  • Machine learning and pattern recognition techniques for the analysis of development activities
  • Query and analysis of various development data (requirements, code, models, tests, etc.)
  • The conception of proposal systems (Recommender) for the simplification of development tasks
  • Graphical and textual query languages for analysis of development data
  • Development of modelling techniques
  • Planning and conduct of experiments to evaluate developed techniques
  • The conception and implementation of demonstrators for developed procedures
  • The preparation of scientific publications and project documentation
  • Support for students and interns

Conditions

To be part of our company you must be able to accept real challenges. If that is the case, we will be happy to help you learn, so that we can really complement each other. If you are interested, you should have the following:

  • A university degree in Computer Science, Computer Engineering, Media Informatics or a comparable area, plus good knowledge in the field of software development or software engineering
  • Knowledge of machine learning and pattern recognition techniques
  • Cooperation and team ability, plus a willingness to communicate and organize
  • Good to very good English

Knowledge of development tools such as IDEs, UML and requirements tools are advantageous, as are good programming skills and relevant experience.

Benefits

We offer an excellent working environment and a wide range of opportunities for further training opportunities and qualification. Our projects offer exciting fields of activity, interdisciplinary challenges and close cooperation with colleagues and partners from science and practice.

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