253 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" research jobs at Nanyang Technological University
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. Proficiency in programming languages such as Python, R, or similar. Excellent analytical and problem-solving skills. Ability to work both independently and collaboratively in a team. Previous research
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degree in Sciences, Engineering or Social Sciences Proficiency in written and spoken English Good analytical and critical thinking skills Good organizational skills, demonstrate initiative to plan and
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approaches, share datasets, and integrate results into broader fusion research programmes Job Requirements: PhD degree in physics Demonstrated experience in scientific computing, including programming
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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. specific programming languages, numeric and analytical skills Competent in soft skills / general personality traits e.g. information visualization, interaction design Interpersonal skill (e.g. Ability
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), information science, or related fields. Prior experience and proficiency in working with large language models including programming, evaluating, and benchmarking, evaluating. Demonstrated skills in quantitative
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Conceptualise studies and develop research designs Plan, execute, and manage research projects end-to-end Analyse data and synthesize findings Disseminate research through publications, presentations, and
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, documentation, and presentations) - essential for data analysis and communication with stakeholders Proficiency in hard skills, such as programming (Python, C++), machine learning frameworks (PyTorch, TensorFlow
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Proficiency in scientific programming and simulation tools (e.g., Python, MATLAB) Proven ability to conduct independent research, publish high-quality work, and collaborate effectively Strong written and oral
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference