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

Barkhausen Institut; Dresden; Vor Ort; Teilzeit

Zusammenfassung

A research institute in Dresden is seeking a Student Assistant for Wireless Signal Processing to contribute to cutting-edge research in wireless communication. The role includes coding in Python, reproducing research results, and supervising measurement setups. Candidates should be studying electrical engineering or computer science, possess good communication skills in English, and have a basic understanding of digital signal processing techniques. The position offers flexible hours and the potential for a supervised thesis topic.

Leistungen

Flexible working hours

Creative team environment

Office space in city center

Support for relocation

Qualifikationen

• Students studying electrical engineering, computer science, or comparable fields.
• Good communication and writing skills in English needed.
• Basic knowledge of digital signal processing techniques required.

Aufgaben

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

Kenntnisse

Python programming

Communication skills

Digital signal processing

Ausbildung

Study of electrical engineering or computer science

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)

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.).

Application procedure

Short letter of motivation and curriculum vitae to hier. 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 “SHK Wireless Simulations” in the subject line.

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.