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intelligence solutions through applied research projects. Desirable Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain
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the future. https://nusit.nus.edu.sg/ Job Purpose Build intelligent, scalable applications by leveraging AI tools throughout the development lifecycle—from requirements analysis to deployment. Design and
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About the Opportunity The School of Law of Northeastern University seeks part-time lecturers to teach courses for the JD/FlexJD/LLM program as well as undergraduate courses in areas of law to be
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computing infrastructure. The main tasks will include: designing, implementing and documenting programming components supporting experiments with AI models (including LLM, generative models, complex system
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of Large Language Models (LLMs) in distinguishing secure from insecure JavaScript code. The student will design and implement a systematic evaluation pipeline to assess model behavior under perturbation
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, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims
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of Business Intelligence (machine learning & LLM) to enhance the sustainability of regional tourism. On the supply side, a monitoring system is developed by extracting data from online platforms such as Google
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environment. Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for decision-making, optimizing LLM training for low-resource
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in advanced machine learning (e.g., NLP, LLMs, computer vision, mathematical foundations for AI and data science, ML security), and/or proficiency in at least one sensing modality. Although
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; no proven programming experience – 0 points. Proven experience with retrieval-augmented generation (RAG) pipelines and integration with large language models (LLMs) – 5 points; no proven experience – 0 points