Barkhausen Institut gGmbH: Student Assistant – Wireless Signal Processing (m/f/d)

Hochschule für Technik und Wirtschaft Dresden; Dresden; Vor Ort; EUR 16.531 - 20.664; Teilzeit

Benefits dieser Stelle

Flexible working hours

Office in Dresden's city center

Support for thesis topics

Family-friendly measures

Zusammenfassung

The Hochschule für Technik und Wirtschaft Dresden is looking for a Student Assistant in Wireless Signal Processing. The role involves investigating simulation and digital signal processing techniques for future wireless systems.

Key responsibilities include contributing to a Python codebase, supervising measurement setups, and reproducing advanced research results. Ideal candidates should have a background in electrical engineering or computer science and good programming skills in Python. Flexible working hours are offered in a creative environment.

Qualifikationen

• Engaged in electrical engineering, computer science, or a relevant field.
• Fluent in English, both written and spoken.
• Proficient in Python programming.

Aufgaben

• Contribute source code and extend documentation of a Python codebase.
• Reproduce cutting edge wireless signal processing research results.
• Supervise software defined radio measurement setups.

Kenntnisse

High-level object-oriented programming (Python)

Digital signal processing techniques

Good communication and writing skills in English

Ausbildung

Study of electrical engineering, computer science or comparable

Jobbeschreibung

The Barkhausen Institut 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 wireless connectivity and sensing group aims to contribute towards a dependable Internet-of-Things for the next generation of wireless communication systems. We focus on mathematical analysis, simulation studies and demonstrations of multi-connectivity, physical layer security and joint communication and sensing.

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

Student Assistant – Wireless Signal Processing (m/f/d)

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

The project

The SHK will investigate state of the art simulation and digital signal processing techniques for the physical layer of joint communication and sensing wireless systems. They will configure and extend Barkhausen Institut’s software suite hier to reproduce and verify published signal processing research.

Your tasks

• Contribute source code and extend documentation of a Python codebase
• Reproduce cutting edge wireless signal processing research results
• Supervise software defined radio measurement setups

We expect the following

• Study of electrical engineering, computer science or comparable
• Good communication and writing skills in English
• Knowledge of high-level object-oriented programming, preferably Python
• Basic knowledge of digital signal processing techniques

What we provide

• An open and creative team of enthusiastic scientists
• Office and laboratory space directly in Dresden’s city center
• Agile working hours and workflows
• Work on future technologies
• The option to derive a supervised thesis topic from your work

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.).

Barkhausen Institut 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 during 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.