Student Assistant Photonics, Sensing, and Machine Learning
Fraunhofer-Gesellschaft · Berlin, Germany
Research Services · 51-200 employees
About the role
The student assistant will contribute to the development of photonic networks and sensing systems by implementing digital signal processing techniques. They will also be responsible for planning, setting up, and characterizing optical systems in the laboratory while documenting experimental results.
What they look for
Requirements
Candidates are expected to have experience with Python or MATLAB and a strong interest in photonic sensing and machine learning. The role requires the ability to conduct experimental work and validate algorithms for complex optical applications.
Full description
Future. Discover. Together.
As a leading research institution based in Berlin, the Fraunhofer Heinrich Hertz Institute creates innovations for the digital society of the future and is a world leader in the field of optical data transmission. Building on many years of experience, its outstanding expertise in optical wireless communications also enables the development of solutions in closely related technology fields, such as photonic sensing. In recent years, activities in photonic sensing (e.g., fiber optic sensing, LiDAR, medical technology) have grown into a key focus area. This young and dynamic field of research opens up exciting scientific projects with clear practical applications. We offer the sought-after combination of a highly interesting scientific environment and insight into industry-oriented work. Become part of our team and join us on a journey of research and innovation!
Be part of change
- Contribute to the development of photonic networks and sensing systems
- Implement digital signal processing techniques (Python or MATLAB)
- Experimentally characterize optical and electrical components (lasers, optical components, optical fibers, etc.)
- Plan, simulate, and set up optical systems in the laboratory
- Document and evaluate experimental and simulation results
- Develop and validate machine learning and deep learning algorithms for photonic sensing applications
