Internship in the Design of Synchronization Interfaces with Microwave Components
Posted on December 19, 2025
Boblingen
Posted on December 19, 2025
About this role
Your tasks
- During your assignment, you will be responsible for the design boards for innovative sensor synchronization interfaces operating up to 5 GHz.
- Additionally, you will design microstrip filters for maximum precision.
- You will comprehensively test and characterize the developed interfaces to ensure their performance and reliability.
- Finally, you will critically evaluate existing synchronization devices to identify areas for improvement.
Your profile
- Education: studies in the field of Electrical Engineering or comparable
- Experience and Knowledge: proficiency in Radio Frequency (RF) technology and Printed Circuit Board (PCB) design
- Personality and Working Practice: you are a self-motivated, team-minded individual eager to learn new things
- Work Routine: office attendance is required
- Languages: fluent in English
Contact & additional information
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Thomas Binzer (Functional Department)
+49 711 811 48440
#LI-DNI
Work #LikeABosch starts here: Apply now!
Want more jobs like this?Get Research / Academic jobs in Boblingen delivered straight to your inbox.By signing up, you agree that we may process your information in accordance with our privacy policy.
More jobs from this employer
Similar jobs
PhD - Develop AI-Driven Control Algorithms for an Optimized V2X Operation for Future Energy Markets Including Cost Efficiency and Battery Ageing
PhD – Generative Models for Closed-loop Synthesis
Master Thesis Analysis of Nonlinear Gear Transmission Systems
Master Thesis on Data-Based Modelling of Electric Drives for Reinforcement Learning-Based Controller Design
Master Thesis Deep Learning for Ultrasound