PhD Researcher in MEMS Sensor Technology
vor 4 Wochen
Company: Bosch Sensortec GmbH
Company OverviewBosch Sensortec GmbH is a leader in the development of sensing solutions utilizing microelectromechanical systems (MEMS), primarily focused on the consumer electronics sector. Our innovations enhance the functionality of devices such as smartphones, wearables, and augmented reality applications, contributing to a more connected and responsive world.
Position OverviewThis role involves exploring the innovative application of Machine Learning (ML) and Big Data analytics to optimize the performance of MEMS inertial sensors.
- Data-Driven Research: Your work will focus on employing machine learning algorithms and big data techniques to enhance the performance metrics of MEMS inertial sensors.
- Comprehensive Performance Improvement: This position provides an opportunity to lead initiatives that apply ML and Big Data to tackle specific performance challenges in MEMS technology.
- Collaborative Environment: Engage with interdisciplinary teams, including experts in MEMS technology, data science, and software development, to enhance sensor performance through innovative data analysis and algorithmic strategies.
- Network of Experts: Join a collaborative network of professionals specializing in inertial systems, including MEMS, ASIC, packaging, testing, and advanced data analytics.
- Team Player: A strong passion for interdisciplinary collaboration, creativity, and problem-solving in the context of ML and Big Data applications in sensor technology.
- Independent Worker: A proactive working style with the ability to manage complex datasets and apply ML techniques to derive performance-enhancing insights.
- Relevant Experience: A solid background in machine learning and big data analytics, particularly in enhancing the performance of physical sensors or related technologies; familiarity with MEMS sensors is advantageous.
- Language Skills: Proficiency in English is required.
- Educational Background: A Master’s degree in Microsystems Engineering, Electrical Engineering, Physics, or a related field, with strong academic credentials and proven expertise.
For further details, please refer to the relevant documentation.
The specific PhD topic will be determined in collaboration with your academic institution.
We support flexible working arrangements, including remote work opportunities.
Our commitment to diversity and inclusion is integral to our corporate culture, and we welcome applications from all qualified individuals.
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