Scientist (m/f/d) - architecture analysis and optimization for cyber-physical systems

WorkplaceMünchen, Bayern, Germany
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Technische Universität München



31.05.2021, Wissenschaftliches Personal

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. ?" target="_blank" rel="nofollow">

fortiss substantially expands its successful research initiative on software & systems engineering. To further strengthen our team, we are looking for

Scientists (m/f/d) - Architecture Analysis and Optimization for Cyber-Physical Systems
Your responsibilities will include:
  • Conduct application-focused research in one of the leading research groups on model based systems engineering
  • Advance the state of the art in model-based architecture analysis and optimization for cyber-physical systems
  • Contribute to trend-setting solutions for the upcoming challenges in engineering of safety critical systems such as researching more flexible and agile development approaches
  • Develop research prototypes and transfer the research results to solve important industrial challenges in direct collaboration with our industry partners in the automotive, aerospace, or automation domain
  • Disseminate contemporary research results with high-quality publications in leading, internationally recognized scientific journals in the fields of Software & Systems Engineering
  • Act as a competent research partner and contact person for our application partners
  • Contribute to the development of the institute in the respective areas of expertise
    What we expect:

    oOutstanding university degree (M.Sc. and/or PhD) in computer science or electrical engineering with a specialization on Software and/or Systems Engineering; e.g. model-based systems engineering, dependable and adaptive system architectures, testing/verification
    oExperience in Software & Systems Engineering research reflected in scientific publications and / or professional engagement in the relevant international research communities are an advantage
    oExperience with formal methods for the analysis, synthesis or optimization of models is an advantage
    oSelf-initiative, commitment, goal orientation and willingness to perform and to considerably exceed the state-of-the-practice
    oThrive for producing leading results and enthusiasm and excellent implementation skills for creating software-based solutions to tackle important challenges
    oExcellent communication and teamwork skills
    oVery good knowledge of English and German in both spoken and written form
    What we offer:

    oAn excellent and internationally recognised research-centric environment in the area of Software and Systems Engineering
    oPossibility to collaborate in research and higher education through closely located universities and research institutes (Doctoral projects are supported by fortiss)
    oAn exciting and inspiring open research environment as well as the chance to take on new responsibilities
    oThe possibility to closely collaborate with other leading research groups and industrial technology leaders worldwide
    oThe ideal basis for developing and applying research results in the field via one of the leading high-tech hubs worldwide
    oA dynamic work environment with highly qualified and motivated colleagues
    oCompensation according to the regulations of the collective wage agreement of the public service of the German provinces (TV-L)
    oOpportunities for personal and professional development
    If you are interested,

    Please apply via our carrier portal ?" target="_blank" rel="nofollow"> quoting the following application code:

    Application Code: MBSE-CPS-MA-02-2021

    Contact: Simon Barner

    Hinweis zum Datenschutz:
    Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

    Kontakt: Simon Barner

    Mehr Information

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In your application, please refer to and reference JobID 164764.

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