
Senior AI Research Engineer in Machine Learning Acceleration
1 day ago
We are seeking a talented researcher to contribute to an exciting project focused on accelerating ternary neural networks using FPGA devices.
Key Responsibilities:
- Deliver outcomes in a research project and ensure milestones are met.
- Collaborate with colleagues and postgraduates within the project.
- Prepare materials for publications in journals and conferences.
- Work with industry partners and leaders in the field of FPGA-based machine learning accelerators.
To be successful, you will have:
- Strong experience in FPGA design, machine learning, or a related field.
- Experience in the development of machine learning models using Python and PyTorch.
- Expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs).
- Strong problem-solving and analytical skills.
The University values courage, creativity, openness, engagement, inclusion, diversity, respect, and integrity. As such, we are looking for a researcher who aligns with these values and has a strong track record in conducting machine learning research.
BenefitsThis role offers a unique opportunity to work on cutting-edge technology and collaborate with industry leaders in the field of FPGA-based machine learning accelerators.
Working EnvironmentThe University is committed to providing a supportive and inclusive working environment that fosters creativity, innovation, and collaboration.
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