PhD Position – Ultra-Low-Power AI Accelerators for Resource-Constrained Devices (f/m/d)

NXP Semiconductors; Hamburg; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

Join a leading company in AI Processor Architecture as a PhD researcher, contributing to innovative technologies for edge applications. Collaborate with experienced academics and engineers while working on ultra-low-power AI solutions. This role promises a rich blend of practical and academic insights, aiming to influence millions through efficient AI hardware.

Leistungen

Support for publications and conference travel

Collaboration with industry and academic leaders

Qualifikationen

• Master’s degree required in relevant field.
• Passion for energy-efficient computing and embedded AI.
• Knowledge of digital design or SoC power modeling.

Aufgaben

• Research on ultra-low-power AI accelerators for microcontrollers.
• Work with real silicon and industrial software stacks.
• Contribute to publications and academic exchange.

Kenntnisse

Energy-efficient computing

Embedded AI

Digital design

SoC power modeling

ML frameworks

Ausbildung

Master’s degree in Electrical Engineering

Master’s degree in Computer Science

Jobbeschreibung

Join a vibrant, international R&D team at NXP Semiconductors, where academic excellence meets real-world impact. Our team includes several engineers holding a PhD and an independent university lecturer, all working at the forefront of AI Processor Architecture for edge applications. In this role, your research will contribute both to academic advancement and to the development of technologies that power billions of AI-enabled edge devices. At NXP, you’ll collaborate closely with fellow PhD students, as well as Technical Directors and Fellows—our technological thought leaders. You will be co-supervised by a professor from a well-established European university, alongside your industrial supervisor, who also holds a university lectureship and brings both academic insight and practical experience to your research journey. You will have the opportunity to work with real silicon and state-of-the-art industrial software stacks for machine learning. The environment actively supports publications, conference travel, and academic exchange.

? Research Focus (flexible within scope):

• Design of ultra-low-power AI accelerators for microcontrollers and edge devices
• Energy-efficient neural network architectures and training methods
• Hardware-aware model compression and quantization
• Integration of AI accelerators into real-world embedded systems

? Your Profile:

• Master’s degree in Electrical Engineering, Computer Science, or related field
• Passion for energy-efficient computing and embedded AI
• Knowledge of digital design or SoC power modeling and optimization
• Experience with ML frameworks and embedded programming (e.g., C/C++, Python) is a plus

If you’re passionate about efficient AI hardware and want your research to reach millions of users in actual products, this is your chance to make that impact while earning a PhD.

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