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STUDENT ASSISTANT – ORCHESTRATION OF MOBILE EDGE APPLICATIONS (M/F/D)

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Stellenbeschreibung

Werkstudent
Homeoffice: Nach Absprache

Who are we?

fortiss is the research institute of the Free State of Bavaria for the development of software-intensive systems with headquarters in Munich. The scientists at the institute cooperate in research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. The focus is on research into state-of-the-art methods, techniques and tools for the development of software- and AI-based technologies for dependable, secure cyber-physical systems such as the Internet of Things (IoT). fortiss is organized in the legal form of a non-profit limited liability company. Shareholders are the Free State of Bavaria (majority shareholder) and the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. www.fortiss.org
Student Assistant – Orchestration of Mobile Edge Applications (m/f/d)
This work is focused on the implementation and validation of a software-based solution, based on Kubernetes, that assists in a more dynamic behavior of Edge-based applications in large-scale scenarios, e.g., moving containerized applications across different IoT environments. This software solution shall be implemented and tested in the fortiss Industrial IoT Lab, based on realistic conditions.

Your tasks:

  • Support the setup and development of an open-source software component based on Kubernetes.
  • Assist the configuration and integration of the software in the IIoT Lab of the fortiss Labs and also across an international experimental testbed.
  • Implementation, performance evaluation, and support of the demonstrator and novel components implemented in the fortiss IIoT Lab.

Your profile:

  • Completed Bachelor's degree and currently enrolled in a Master’s degree in computer science, information systems or similar.
  • Practical experience in programming languages such as Java, Python or C++
  • Preferably, practical experience in Linux systems.
  • Preferably, experience with Machine Learning solutions such as Tensorflow light, PyTorch.
  • Excellent communication skills in English, basic German skills is a plus.

Our offer:

  • Position available for 6 months, possibility to extend.
  • Working within an exciting international research environment.
  • International work environment.
  • An international and dynamic work environment with highly qualified and motivated colleagues.
  • Close cooperation and possible interaction with industrial leaders in the IoT domain.

Did we catch your interest?

Please submit your application with a motivational statement, a detailed CV and a current transcript of records.
Job-ID: IIoT-SA-04-2022
Contact: Dr. Rute C. Sofia
  • Ralf Kohlenhuber
  • Human Resources Administrator
  •   Anstellungsart
    Werkstudent
      Homeoffice
    Nach Absprache

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