16 development-"https:"-"https:"-"https:"-"https:"-"https:"-"Gustave-Roussy" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
Research Fellow (Power Grid Optimisation & GUI Development) - EFX2 Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 2 Oct 2026 View more categories View less
-
team of the MCCS NATURE Project ( https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave
-
synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model
-
concrete (SFRC), covering materials development, mix design optimisation, and performance evaluation. Perform advanced materials characterisation and microstructural analysis, including but not limited to
-
that are relevant to industry demands while working on research projects in SIT. To provide technical and operational leadership in the development, execution, and translation of sustainable
-
, microbial biomanufacturing, and sustainable process development. One Research Fellow will be hired to support the microbial engineering and bioprocess development aspects of the project: The Research Fellow
-
talent development, thus enabling agencies and enterprises to accelerate innovation for the green economy. IaaS CSI aims to champion innovation within Singapore innovation ecosystem by bringing together
-
responsibly. Support scale-up from laboratory to pilot and prepare documentation that enables clean transfer of the ingredient to the downstream food-development team. Contribute to project reports
-
Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one
-
competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing