Student Assistent Digital Signal Processing for High-Speed Signal Generation

Fraunhofer-Gesellschaft; Berlin; Vor Ort; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading research institution in Berlin seeks a student employee to assist with signal processing algorithms. The role involves implementing and evaluating algorithms using Matlab and Python, requiring strong knowledge in digital signal processing. Flexible working hours and opportunities to write a thesis are available. Ideal for a full-time student in engineering or related fields.

Leistungen

Flexible working hours

Opportunities to write a master’s or bachelor’s thesis

Diversity in the workplace

Qualifikationen

• Full-time student at a university in Berlin, preferably in electrical or computer engineering, mathematics, or physics.
• Profound knowledge in the field of digital signal processing.
• Extensive experience with Python, Matlab, and other programming languages.

Aufgaben

• Implementation of algorithms for signal processing using Matlab and Python.
• System-level behavioral modeling of components for ultra-broadband signal generation in Matlab and Python.
• Simulative and experimental evaluation of algorithms.

Kenntnisse

Knowledge in digital signal processing

Experience with Python

Experience with Matlab

Good communication skills in German and English

Ausbildung

Full-time student in electrical or computer engineering, mathematics, or physics

Tools

Matlab

Python

Jobbeschreibung

Overview

Future. Discover. Together. As a research institution based in Berlin, the Fraunhofer Heinrich Hertz Institute creates innovations for the digital society of the future and is a global leader in optical data transmission. We offer a scientific environment with industry-oriented insights. In the area of high-speed signal generation, we research novel concepts for generating analog signals with bandwidths beyond 100 GHz and are exploring digital signal processing and behavioral modeling of systems. To support this work, we are looking for a student employee with the following profile. Be a part of our team and come on a journey of research and innovation!

What you will do

• Implementation of algorithms for signal processing using Matlab and Python
• System-level behavioral modeling of components for ultra-broadband signal generation in Matlab and Python
• Simulative and experimental evaluation of the algorithms and comparison with conventional processing methods

What you bring to the table

• Full-time student at a university in Berlin, preferably in electrical or computer engineering, mathematics, physics
• Profound knowledge in the field of digital signal processing
• Theoretical and practical knowledge regarding message transmission systems
• Extensive experience with Python, Matlab and other programming languages
• Good communication skills (German and English)
• Proactive and self-reliant working style

What you can expect

• Interesting challenges in a scientific and industrially shaped field
• Flexible working hours
• Opportunities to write a master’s or bachelor’s thesis
• Scope margin for the tasks to be implemented

The position is initially limited to 12 months. An extension is explicitly desired. The monthly working time is 80 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees and 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. Appointment, remuneration and social security benefits are based on the public-sector collective wage agreement (TVöD). Fraunhofer may also grant performance-based variable remuneration components.

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

Interested?

Apply online now. We look forward to getting to know you!

Jonathan Andree

Tel.: 030 / 31002 - 591

E-Mail: [e-mail]

Christoph Kottke

Tel.: 030 / 31002 - 559

E-Mail: [e-mail]

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

www.hhi.fraunhofer.de

Requisition Number: 81454   Application Deadline: 10/26/2025