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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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enough data for machine learning. Key Responsibilities: Learn and understand the experimental system Conduct the simulations and resolve issues Generate data using the simulations Collaborate with other
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privacy-preserving algorithms to machine learning models. Analyse and interpret findings, ensuring scientific rigour and practical relevance. Prepare and submit manuscripts to leading conferences and
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Bachelor degree in Computer Science/Engineering or equivalence More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and machine learning Good communication and
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leadership and expertise in the synthesis and characterization of advanced nanomaterials, specifically focusing on the integration of machine learning, wafer-scale synthesis of materials, and high-throughput
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, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning
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Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system
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with machine learning. Other general requirements: Demonstrated ability to undertake high quality academic research with limited supervision. Good academic writing skills. Demonstrated ability to work in