drjobs PhD Position – Hardware-Software Co-Design for Efficient AI/ML Accelerators (f/m/d)

PhD Position – Hardware-Software Co-Design for Efficient AI/ML Accelerators (f/m/d)

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1 Vacancy
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Job Location drjobs

Hamburg - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 youll collaborate closely with fellow PhD students as well as Technical Directors and Fellowsour technological thought leaders. You will be co-supervised by a professor from a well-established European (typically German) university alongside your industrial supervisor who also holds a university lectureship and brings both academic insight and practical experience to your research journey. The environment actively supports publications conference travel and academic exchange.

If youre passionate about sustainable 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 !

Research Focus (flexible within scope):

  • Hardware-aware training for low-bitwidth quantization and approximate computing
  • Hardware and Software for on-device low-precision training (e.g. federated learning)
  • Compiler algorithms for constrained hardware environments
  • Co-design of domain-specific AI applications (e.g. Radar UWB Health) and hardware architectures

Your Profile:

  • Masters degree in Electrical Engineering Computer Engineering or a related field
  • Strong interest in ML systems embedded AI and hardware/software co-design
  • Experience with Python C and ML frameworks (e.g. PyTorch TensorFlow)
  • Familiarity with digital design (e.g. Verilog/VHDL) compilers or embedded systems is a plus

More information about NXP in Germany...

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Employment Type

Part-Time

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