Vacancies
PhD Vacancy
Interested in joining us and have an excellent track record, but prefer a different topic than those listed below?
No problem, please still feel free to contact us!
Position 1: Low-power high-dynamic range image sensor IC design
Are you driven by the desire to push the boundaries of technology and innovation? Do you envision a future where Internet of Things (IoT) applications can operate seamlessly in remote areas, providing crucial image data for environmental monitoring? Join us on this project!
Image sensors have been used widely in our daily lives. In this project, we will develop a low-power image sensor for IoT applications such as environment monitoring in remote areas. Two key aspects are critical for this application: low power and high dynamic range. While the first requirement is very straightforward, the second requirement enables the image sensor to be used in an outdoor environment where the light intensity can differ throughout the day.
Benefits of Low-Power HDR Image Sensors in IoT
The integration of low-power HDR image sensors in IoT applications offers numerous benefits:
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Extended Battery Life: Low power consumption ensures prolonged operation in remote locations, reducing the need for frequent maintenance and battery replacements.
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Comprehensive Monitoring: HDR capabilities allow for detailed and accurate environmental monitoring, providing valuable data for analysis.
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Scalability: CMOS technology enables scalable solutions that can be deployed widely without prohibitive costs.
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Enhanced Data Quality: HDR ensures that the data captured is of high quality, regardless of varying lighting conditions.
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Cost Efficiency: Reduced power consumption and extended sensor life lead to significant cost savings over time.
Research Focus
The selected candidate will focus on the following key areas:
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Low Power Design: Develop image sensors that consume minimal power, essential for IoT applications that rely on battery power or energy harvesting, especially in remote areas.
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High Dynamic Range (HDR): Design sensors capable of capturing high dynamic range images to provide detailed and accurate data across various lighting conditions, crucial for environmental monitoring.
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CMOS Technology: Utilize CMOS technology to realize and integrate the sensors, ensuring cost-effectiveness and scalability.
About supervision team
The candidate will work in the Microelectronics department at TU Delft, and receive supervision and support from Dr. Fan and Dr. Rao regarding readout IC design and pixel design respectively. Dr. Fan is leading the APIC research group (www.apictudelft.com) and is a top expert in analog and mixed-signal circuit design, while Dr. Rao specializes in pixel physics and has multiple EU projects on image sensors running in parallel.
Position 2: Smart sensing ASIC for power devices and systems (also available for postdoc)
Are you passionate about cutting-edge technology and innovation? Do you envision a future where power conversion systems are not only efficient but also intelligent? Join us on this project!
We are seeking a highly motivated PhD candidate to work on pioneering research in smart sensing integrated circuits (ICs) for power conversion systems. This includes, but is not limited to, motor drivers, DC-DC converters, and other related applications. The goal of this research is to develop advanced sensing technologies that can monitor system operations in real-time, offering numerous benefits such as fault detection, lifetime prediction, and dynamic optimization for enhanced performance.
Benefits of Smart Sensing in Power Conversion
The integration of smart sensing technologies in power conversion systems offers several transformative benefits:
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Enhanced Reliability: Real-time monitoring and fault detection improve system reliability and prevent unexpected failures.
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Extended Lifetime: Predictive maintenance strategies based on sensor data can significantly extend the operational lifetime of power conversion systems.
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Improved Efficiency: Dynamic optimization ensures that the system operates at peak efficiency under varying conditions.
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Cost Savings: Reduced maintenance and operational costs through early fault detection and predictive maintenance.
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Advanced Data Analytics: Leverage big data analytics to gain deeper insights into system performance and behavior.
Research Focus
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CMOS Technology for Sensor Integration: Develop and integrate smart sensors using CMOS technology, e.g. current sensor, temperature sensor and etc.
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Precision and Low-Power Design: Design sensors that maintain high accuracy while consuming minimal power, which is crucial for efficient and sustainable power conversion systems.
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Interference Robustness: Implement strategies to make sensors robust against large high-frequency interference, which is common in many power conversion systems.
Why Join Us?
• Innovative Research Environment: Be a part of a leading research team with great track record in sensing analog and mixed-signal ICs.
• State-of-the-Art Facilities: Access to advanced laboratories and tools to support your research.
• Professional Development: Opportunities for attending conferences such as ISSCC, VLSI, ESSERC, publishing high-quality journal papers such as JSSC, and collaborating with industry partners.