Artificial Intelligence Computing Architectures Researcher
3 weeks ago
We are seeking a highly skilled and motivated PhD student to join our team at the University of Edinburgh, United Kingdom. The successful candidate will be working on exploring the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a specific focus on Transformers.
Estimated Salary: £30,000 - £40,000 per annum.
About the Role:This project targets developing Python-based libraries for training and inference that are friendly to unconventional computing domains. These libraries should be eventually integrated with PyTorch and/or TensorFlow to facilitate modelling and quantization-aware training for different AI hardware architectures.
Key Responsibilities:- Developing Python-based libraries for training and inference on unconventional computing domains.
- Exploring the potential benefits of employing software optimization techniques for modelling and training LLMs.
- Working with PyTorch and/or TensorFlow to integrate the developed libraries.
- Excellent programming skills using Python.
- Mastery of ML/AI modelling using PyTorch or TensorFlow.
- Basics of computer architecture.
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