PhD Researcher in Edge Devices: An exciting scholarship opportunity is available for individuals passionate about pioneering cutting-edge research in the field of privacy-preserving continual learning for large language models on low power edge devices. This scholarship presents the chance to contribute to transformative advancements in edge computing and artificial intelligence, with specific emphasis on preserving user privacy while enabling local data fine-tuning. Join our dynamic team and help shape the future of intelligent and secure edge-based applications.
Privacy-Preserving Continual Learning for Large Language Models on Low Power Edge Devices
Privacy-Preserving Continual Learning for Large Language Models on Low Power Edge Devices
Designation: PhD Researcher (Reference code: 2025-098)
Research Area: Privacy-Preserving Continual Learning for Large Language Models on Low Power Edge Devices
Location: Antwerpen
Eligibility/Qualification:
- Background in computer science or engineering
- Passion for pioneering research in edge computing and AI
- Strong programming skills
Job Description:
As a PhD researcher, you will work on developing and implementing strategies for privacy-preserving continual learning in large language models on ultra-low power edge devices. This involves exploring techniques such as Low Rank Adaptation (LoRA), model distillation, and hardware-level optimizations to enable adaptive learning while maintaining data privacy. Additionally, you will contribute to the design-space exploration for novel hardware architectures to support continual learning by large language models on low-power edge devices.
How to Apply:
To apply for this scholarship, please submit your application form mentioning the reference code (2025-098).
Last Date for Apply: [Insert Deadline]
| Required | Details |
|---|---|
| Background | Computer science, engineering |
| Type of work | 20% literature, 60% programming, 20% design space exploration |
| Supervisor | Steven Latré |
| Co-supervisor | Tanmoy Mukherjee |
| Daily advisor | Tanguy Coenen |
Don’t miss this unique opportunity to be part of a groundbreaking research endeavor that will shape the future of edge computing and AI applications. Apply now and embark on a journey of innovation and discovery.
