Learning support assistant Jobs in Heidenau

The Barkhausen Institute performs research on the latest hardware, software and communication technologies and demonstrates their application in tomorrow's society. Our goal is to build a flexible and trustworthy IoT platform based on reliable electronics and secure communication methods.

The RF Design Enablement group researches and develops dependable IoT systems with focus on three key research topics such as joint radar-communication system, antenna-system design with meta-surface and physical layer security. We focus our research on designing building blocks, while identifying critical hardware parameters for next-generation hardware systems and applications.

To help pursue our research agenda, we are looking for a

Student Assistant – Material and Context Detection (m / f / d)

up to 19 hours / week for 3-6 months)

The project

The SHK will investigate standard, and institute developed antenna arrays for material and context detection in the field of joint communication and sensing. The research topic can be an external master thesis, and it can result in publications.

Your tasks

• Perform over the air measurements with antennas and RF equipments
• Plan different scenarios and analyze the data for different scenarios
• Signal processing using python
• Use machine learning algorithms for material and context detection

We expect the following

What we provide

If you have passion for new technologies and the desire to develop the connected world of tomorrow with us, we are looking for you.

Life and science are compatible at our institute. We offer a range of recognised family-friendly measures, such as part-time work, mobile working and flexible working hours that take family needs into account.  We also offer support for arriving in Dresden (all formalities, apartment etc.).

Application procedure

Short letter of motivation and curriculum vitae to Kontakt-Formular . Please also enclose a current university transcript or extract from the grade overview with details of courses and grades. We only accept complete documents as one single PDF document by e-mail. Applications that contain other file formats (e.g. Word, Excel) will not be considered in the selection process. Informal inquiries can also be submitted to the same address. Please reference “Student Assistant – Material and Context Detection” in the subject line.

Barkhausen Institute strives for gender and diversity equality. We welcome applications from all backgrounds. Severely disabled persons are given preference in the event of equal suitability.

The data submitted by you in the course of the application procedure will be processed by the Barkhausen Institut (BI). BI shall use the data for the purposes of the application procedure. No data shall be passed on to third parties.

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Schlagwörter : electrical / electronic engineering,python,IoT,Englisch,frontend,Frontend,Sicherheit,Software,Designer,designer,security,Netzwerkmanagement,Webdesigner,Hardware,webdesigner,Webdesign,webdesign,Wireless,Grafiker,Datenschutz, Empfehlungsbund, EBND (ITsax.de 102hmysuofs0talent-com)