Internship in Radio-based Sensing for Activity Classification and Feature E at Bosch Group

Hildesheim, Lower Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Programming, Signal Processing, High-Frequency Technology, Data Acquisition, Feature Extraction, Activity Classification, Micro-Doppler Signatures, Radar Sensing, Algorithm Development, Machine Learning, Analytical Skills, Problem-Solving, Teamwork

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description Do you believe radar signals hold the key to precisely understanding human activities? Join us and shape the future of sensing technology! You will leverage cutting-edge radar to reveal invisible patterns. This isn't just about developing algorithms, it's about laying the groundwork for smarter, more intuitive systems. During your internship, you will conduct measurement campaigns, utilizing a radar sensor setup to capture detailed micro-Doppler signatures of various human activities (e.g., walking, waving), gaining hands-on experience with advanced hardware. Moreover, you will be responsible for data acquisition and documentation, focusing on meticulously recording data in complex multi-target scenarios to lay the groundwork for crucial subsequent analysis. By diving deep into measurement data, you will apply and develop sophisticated signal processing algorithms to precisely extract and visualize micro-Doppler features. You will also critically evaluate and enhance existing state-of-the-art algorithms for feature extraction and activity classification, with a special focus on improving performance in challenging multi-target environments. A core task will be to innovate by developing novel and creative approaches to significantly improve the robustness, accuracy, and real-time capabilities of our activity detection systems. Finally, you will have the optional opportunity to explore AI/ML integration by investigating and potentially implementing machine learning techniques for robust activity classification, expanding your skills in this rapidly growing field. Qualifications Education: studies in the field of Electrical Engineering, Computer Science, Communication Engineering, Physics or a comparable technical field Experience and Knowledge: advanced Python programming skills; foundational knowledge in statistical signal processing and high-frequency technology as an advantage Personality and Working Practice: you are a proactive team player who enjoys collaborative work and actively contributes to shared goals, possessing strong analytical and problem-solving abilities Work Routine: your on-site presence is required Enthusiasm: passionate about technological innovation and driven to tackle new challenges Languages: fluent in English 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? Ali Kariminezhad (Functional Department) +49 5121 49 7467 Work #LikeABosch starts here: Apply now! #LI-DNI Legal Entity: Robert Bosch GmbH

Responsibilities

The intern will conduct measurement campaigns using radar sensors to capture micro-Doppler signatures of human activities and be responsible for data acquisition and documentation in complex scenarios. Key tasks involve applying and developing signal processing algorithms for feature extraction and critically evaluating state-of-the-art methods to improve activity detection robustness and accuracy.