75 evolution "https:" "https:" "https:" "https:" "https:" "UCL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. The role is responsible for identifying high-value collaboration opportunities, shaping business models for applied AI projects, and securing funding or co-development commitments that contribute to SNAIC’s
-
support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and
-
, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration, inference deployment) and the frontend interface (user-friendly drag-and-drop studio, similar
-
that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
-
moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications
-
that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
-
development and hydration behaviour Durability performance and long-term behaviour. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison
-
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
-
to lead the applied research and development of advanced control augmentation techniques for Commercial Off-The-Shelf (COTS) drones. This role focuses on pushing the limits of COTS hardware by integrating
-
inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference