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we are looking for a System Physicist- M.Sc. Student to be responsible for a novel product throughout its life cycle from the development stage to installation and support at customer sites, as part of a team.
The student system engineer will practice innovative and critical thinking together with methodological and precise scientific investigation, both broad and in-depth investigation of complex multi-disciplinary systems acquiring strong insight of the physics and algorithms defining its performance.
Responsibilities
What you will be doing:
Theoretical and experimental study of new system methods and algorithms to support state-of-the-art solutions
Define and oversee the implementation of your solutions
Hands on tool experiments and testing in clean-room environment
Service and production guidance and support on challenging topics
Collaboration and system lead with HW and SW engineers
Data and statistical analysis
Advanced logic and sequence design
Algorithm development
Performance and critical behavior testing and design
Developing practical solutions and methods for critical challenges
Conduct lab and on-site system diagnostics, troubleshooting, and problem-solving. Tasks include root-cause analysis, mitigation plans, implementing robust system calibration methods, and product transfer to manufacturing.
Intensive interface with diverse disciplines: physics, optics, algorithms, mechanics, electronics, and software.
Transform customers high-level requirements into concrete technical specifications and design.

We are seeking a motivated and curious Deep Learning Student Engineer to join our R&D team. This is a hands-on role for a student who wants to work with real-world data, explore deep learning techniques, and contribute to the ML infrastructure powering cutting-edge fiber-sensing technology.
What Youll Do:
Support Data Tools & Pipelines - Help develop and maintain data libraries, preprocessing utilities, and pipelines for large-scale acoustic and spatiotemporal data.
Experiment with ML & DL Models - Collaborate on the development, training, and evaluation of models for event detection, classification, and tracking.
Analyze & Visualize Real-World Data - Explore diverse datasets, extract insights, and build visualizations that support research and engineering work.
Collaborate Across Disciplines - Work with ML engineers, DL Researchers, physicists, and field teams to understand sensing challenges and contribute to ongoing projects.
Write Clean, Maintainable Code - Implement tools, experiments, and data-processing modules in Python, following good practices with guidance from senior engineers.
Learn and Grow - Stay updated on ML research, tools, and frameworks while gaining hands-on industry experience in a fast-paced environment.