Workplace Image AIT Austrian Institute of Technology GmbH
Logo AIT Austrian Institute of Technology GmbH

IoT Scientist

Job

  • Level
    Experienced
  • Job Field
    Embedded
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 57.890 € Gross/Year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Technologies

    Your role in the team

    1. As part of our interdisciplinary teams, you develop efficient and scalable algorithms for the entire processing chain - from data acquisition (various sensors e.g. CBRN) in combination with optical 2D / 3D images to analysis and information extraction for data distribution to national and international stakeholders.
    2. You work on the further development of digitization concepts, systems, algorithms and methods for efficient real-time applications for 2D and 3D information systems.
    3. You use the latest sensor technologies with different modalities and improve the situational awareness of emergency services and decision-makers through analysis and data fusion.
    4. You deal with environment modeling, analysis and classification of 3D LiDAR and image data.
    5. You explore and evaluate state of the art methods for data fusion, data and signal processing and their applicability in real-time systems.
    6. You support ongoing communication with stakeholders and present their topics at events.
    7. Your innovative solutions are geared towards user requirements and are characterized by technological and scientific excellence.
    8. The methods you develop prove themselves in practice and are successfully used in demonstrations.
    9. You continuously expand your network in the national and international community and actively pass on your knowledge internally to colleagues and students.
    10. You publish your results at scientific conferences and journals.

    Our expectations of you

    Education

    • Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar

    Qualifications

    • Knowledge in at least one area: data analytics, machine learning, design of complex algorithms
    • Knowledge of optical 3D sensors (e.g. laser scanners, time of flight) and/or data fusion methods (e.g. Bayesian inference, Dempster Shafer Evidence Theory, fuzzy inference systems) is an advantage
    • Interest in computer vision and image processing (deep learning frameworks)  as well as Programming skills in Python; Matlab or C++ is a plus
    • Special interest in applied research and solving practical problems
    • Ability to work in a team, flexibility and commitment
    • Very good knowledge of German; written and spoken English

    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Food & Drink

    More net

    Job Locations

    Map of company locations
    • Location Vienna

      Location Vienna

      Giefinggasse 4

      1210 Wien

      Austria

    • Location Vienna

      Location Vienna

      Argentinierstraße 2/4

      1040 Wien

      Austria

    This is your employer

    AIT Austrian Institute of Technology GmbH

    AIT Austrian Institute of Technology GmbH

    Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln

    The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2007
  • Language
    German, English
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Science, Research
  • Dev Reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    3.8
    • Culture

      4.2
    • Career Growth

      3.6
    • Workingconditions

      3.7
    • Engineering

      4.0
    All Dev Reviews on devworkplaces.com
    Salary
    from 57.890 € Gross/Year
    Location
    Vienna
    Working Model
    Hybrid, Onsite

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