51 data-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite
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that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports
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into viable partnerships across areas such as Generative AI, Large Language Models, Computer Vision, Digital Twins, and Multimodal AI. Success in this role requires strong commercial instincts, the ability
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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports• Schedule meetings with co-PIs, collaborators on-site or off-site
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Validation: Oversee the AM process and testing of 3DP ship hull and connector system. Data Collection and Analysis: Gather testing data during for design optimisation. Reporting and Documentation: Prepare
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences