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Student assistant photonic sensing / machine-learning

Berlin
Studentenjob
Fraunhofer-Gesellschaft
Assistant
Inserat online seit: 4 November
Beschreibung

Future. Discover. Together.

As a leading research institution based in Berlin, the Fraunhofer Heinrich Hertz Institute delivers innovations for the digital society of the future and has become a world leader in the field of optical data transmission. Building on many years of experience, its outstanding expertise in the field of optical wireless communication also enables the development of solutions in closely related fields, such as photonic sensing technologies. In recent years, the activities on LiDAR (e.g. with a focus on automotive applications) have grown to become another main area of expertise. This young and dynamic field of research opens up exciting scientific projects with clear application relevance. We offer the desirable combination of a highly interesting scientific environment and the insight into industry-related work. Become a part of our team and join us on our journey of research and innovation!

What you will do

* Participation in the development of photonic networks and sensor systems
* Implementation of digital signal processing (Python or MATLAB)
* Experimental characterization of optical and electrical components (lasers, optics, optical fibers, etc.)
* Planning, simulation, and construction of optical systems in the laboratory
* Documentation and evaluation of experimental and simulation results
* Development and validation of machine learning algorithms (e.g., CNNs, deep learning for object recognition or classification)

What you bring to the table

* Enrolled full-time student at a German university, preferably in the field of physics, computer science, electrical engineering, or a comparable subject with very good academic performance
* High level of initiative and interest in scientific work
* Experience in one of the following areas:
*
o
+ Optics / laser and fiber optics
+ Digital signal processing
+ Machine learning (e.g., CNN, deep learning)
+ Experimental laboratory work and measurement setups
* Experience with tools such as ZEMAX OpticStudio, Python, MATLAB, or TensorFlow/PyTorch is an advantage

What you can expect

* Fascinating challenges in a scientific and entrepreneurial setting
* A modern, well-equipped workplace in a central location – just a few minutes from TU Berlin
* A positive and cooperative working atmosphere in an international team
* Flexible working hours for a good work-life balance
* Opportunity to write a bachelor's or master's thesis
* Attractive salary

The position is initially limited to 1 year. 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' 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.

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. We look forward to getting to know you!

Mrs Sarah Cwalina

email: sarah.cwalina@hhi.fraunhofer.de

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 81806Application Deadline: 12/15/2025

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