33 evolution-"https:"-"https:"-"https:"-"Grenoble-INP" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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infrastructure recommendations. As part of this work, we are seeking a Research Fellow to lead the development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and
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Role Overview We are looking for a motivated Material Science and Engineering Engineer to join our team. In this role, you will lead the development and testing of materials for various applications
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that are relevant to industry demands while working on research projects in SIT. Job Purpose The Research Fellow will lead the development of a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform for rapid
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stakeholders. Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements. To communicate in any relevant internal or external stakeholders
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. Support the design and development of physical products from early concept through to final production Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and
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. Experimental investigation of high-strength aluminium alloy structures iii. Development and testing of lightweight and long-span earth retaining and stabilising structures iv. AI-enabled structural analysis
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emerging trends and opportunities in Product Innovation to position SIT as a key partner in Design Thinking, New Product Development and Product innovation. Foster partnerships with businesses, government
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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rigorous investigation, close collaboration with the PI and research team, and the development of industry-relevant insights for the built environment sector. We are looking for a passionate and detail
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advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g