Scientist (m/f/d) - Machine-Learning based object- and error detection - 32/24

The Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik (FBH) is an application-oriented research institute in the fields of high-frequency electronics, photonics and quantum physics. It researches electronic and optical components, modules and systems based on compound semiconductors. These devices are key enablers that address the needs of today’s society in fields like communications, energy, health, and mobility. It covers the entire value chain from design to ready-for-delivery systems. 

For our quality control team, we are looking for a scientific employee for the implementation and further development of object and error detection on laser diodes using machine learning methods.

Reference number 32/24

Your activities 

• enhancement of the existing object and error detection program from a successfully completed preliminary project
• extension of the program to link found objects to existing layout and measurement data
• monitoring and further development of the training data to improve the model used
• extension of the object and error detection program to new data sources

Your profile 

• a successfully completed degree in a STEM subject
• experience in the field of machine learning based object recognition is desirable, but not a requirement.
• good programming skills in Python and especially with pyTorch
• independent, careful and quality-oriented work
• interest in learning about new topics and actively contributing to the team
• Good English skills completes your profile.

Our offer

• challenging and interdisciplinary activities in a working environment with excellent technical equipment.
• a safe and modern workplace on the science campus in Adlershof with excellent public transportation connections.
• an informal working atmosphere with open communication and mutual support
• networking with partners from industry and research as well as a professional work organization geared towards the implementation of space projects.
• individual development opportunities and further training according to professional and personal needs.
• 30 vacation days (based on a five-day week), flexible working hours through flexitime, additional flex days and individual working time agreements.
• access to health services on campus (yoga, running club, movement break and soft skills training) via the Adlershof health network.
• employment, remuneration and social benefits are based on the collective agreement for the public service (TVöD Bund) including annual special payment, capital-forming benefits (VWL) and company pension scheme (VBL).

FBH is an equal-opportunity employer and actively supports the compatibility of family and career. Particular attention is paid to gender equality and diversity. The Institute strives to increase the proportion of women in this area. Female candidates are encouraged to apply. Among equally qualified applicants, preference will be given to handicapped candidates. The position can be filled at the earliest possible date and is initially limited to two years. A long-term cooperation is desired.

Have we piqued your interest? Then we look forward to your online application. Please click on "Apply online" and submit your complete application documents not later than 25.10.2024.

If you have any questions about the tasks, please contact Dr. Sven Einfeldt; tel.: +49 30 6392-2630, e-mail: sven.einfeldt@fbh-berlin.de. Sophia Mareck will answer questions about the application process; tel.: +49 30 6392-58243, e-mail: sophia.mareck@fbh-berlin.de.