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of Computing, to work on large language models, with application to text summarization. The initial appointment is for a period of one year, with possible extension subject to research funding availability
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Requirements • Possess a PhD in Transportation and Data Science related subjects. • Experience in developing/applying data-driven models in transportation research or big-data related project. • Ability
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scientific research, the frontiers of misinformation debunking frameworks have evolved from train-from-scratch neural detectors to powerful agents empowered by Large Language Models (LLMs). However, three key
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addition to annual leave, Fellows may apply for academic leave to undertake research and fieldwork overseas, subject to the approval of the LKCNHM Head. Eligibility • Degree and experience: Applicants must have a PhD
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PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines) • Strong interests and expertise in traffic simulation, statistical modeling
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, to work on large language models, with application to text summarization. The initial appointment is for a period of one year contract, with possible extension subject to research funding availability
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, to work on large language models, with application to text summarization. The initial appointment is for a period of one year's contract, with possible extension subject to research funding availability
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, to work on large language models, with application to text summarization. The initial appointment is for a period of one year, with possible extension subject to research funding availability
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innovative thinking are indispensable. Qualifications 1. Education and Research Background: PhD degree in Physics, Optical Engineering, Electrical Engineering, or related fields with a background in
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chapters on International Law is desirable; Fluent language skills in English is required. Additional languages a plus. Application Procedure Interested applicants are invited to apply directly via the NUS