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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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material exploration environments, supporting experimentation across emerging materials, structural design, and advanced fabrication methods. Bridge creative design with engineering feasibility to develop
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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Learning (ML) research or application. A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas: Usage of AI tools or software to solve industry
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postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and
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and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation of Singapore’s maritime sector. The project focuses on developing planning methods to support the
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such as Figma, Adobe XD, or equivalent Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360 Familiarity with rendering tools such as KeyShot, Blender, or similarAbility to spark ideas and
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engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who