AI Researcher: Accelerating Neural Networks with FPGA
4 days ago
This is a unique opportunity to contribute to a project focused on optimizing neural networks using Field-Programmable Gate Array (FPGA) devices.
About the RoleWe are seeking a skilled researcher to join our team and deliver innovative solutions in the field of artificial intelligence.
- Develop and implement FPGA-based acceleration techniques for machine learning models
- Collaborate with colleagues and postgraduates to achieve project milestones
- Prepare high-quality materials for publications in top-tier conferences and journals
- Work with industry partners to advance the state-of-the-art in FPGA-based machine learning accelerators
We are looking for a researcher who has:
- Strong experience in FPGA design, machine learning or a related field
- Expertise in developing machine learning models using Python and PyTorch
- Knowledge of technical areas such as FPGA-based accelerator design, high-level synthesis, quantisation of deep neural networks and large language models
- Excellent problem-solving and analytical skills
As a researcher in this role, you will have the opportunity to work on cutting-edge projects, collaborate with leading experts, and publish your research in top-tier conferences and journals. If you are passionate about accelerating AI with FPGA hardware, we encourage you to apply for this exciting opportunity.
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