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Working Student / Student Assistant / Internship Cognitive Sensor Technology

Working Student / Student Assistant / Internship Cognitive Sensor Technology

Fraunhofer-Institut für Integrierte Schaltungen IISDresden, Sachsen, Deutschland
Vor 30+ Tagen
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Stellenbeschreibung

Working Student / Student Assistant / Internship Cognitive Sensor Technology at Fraunhofer-Institut für Integrierte Schaltungen IIS | softgarden

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Working Student / Student Assistant / Internship Cognitive Sensor Technology

Part Time

Münchner Straße 16, Dresden

Without Professional Experience

12 / 16 / 24

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros.

Adaptivity is an essential part for the networked world of tomorrow. Intelligent components can detect and evaluate changes in the environment or in the system itself and adapt to them independently. As a partner of industry, Fraunhofer IIS / EAS develops key technologies for adaptive systems with about 110 employees in Dresden and offers innovative technologies and robust solutions.

The researchers at the AI Laboratory for Test and Prototyping at IIS / EAS are enabling the transfer of latest methods of Artificial Intelligence into demanding application scenarios like predictive maintenance, energy management for buildings and industrial processes, or collaborative robotics and autonomous systems.

The main research areas cover model based design methods, trustworthy and explainable AI, rapid prototyping of smart systems, and last not least validation in real-world scenarios.

You are interested in contributing to technology development beyond industry 4.0?

We offer a position for student assistants or internships at our division IIS / EAS Dresden. With respect to your background knowledge and expertise you will support the team in the following areas :

  • Data analytics, e.g. for time series of sensors
  • Development of embedded system’s applications on diverse hardware portfolio (MAX, Arduino, Esp32, ADI)
  • Implementation and testing of machine learning methods on microcontrollers
  • Set up of test scenarios in our vibration laboratory
  • Literature research regarding current trends in cognitive sensors and automated pattern recognition

What you bring along

You...

  • are a student of Electrical Engineering, Computer Science, Information Technology or similar
  • have a strong knowledge of embedded systems, microcontrollers, and digital sensors
  • have Experience with Machine Learning methods and Neural Networks
  • are familiar  with high-level programming languages (C, Python, MATLAB) and communication protocols (SPI, I2C, UART, BLE) is a plus
  • have good communication skills both verbally and written
  • are fluent in English, German is a plus

    • What you can expect

  • State-of-the-art measurement devices and a wide range of embedded systems
  • Diverse projects with a high degree of real-world applicability
  • An open and friendly work atmosphere
  • Flexible hours that allow you to balance your work and study activities
  • The leeway to develop your own interests and skills

    • We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

    Remuneration according to the general works agreement for employing assistant staff.

    With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

    Interested?

    Apply online now (PDF : Cover letter, curriculum vitae, certificates).

    We look forward to getting to know you!

    Do you have any questions? Then please contact : [email protected].

    Application Deadline : none

    Apply Online

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