330 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Job Description Job Alerts Link Apply now Job Title: Assistant Professor (Electrical and Computer Engineering) Posting Start Date: 17/12/2025 Job Description: Job Description The Department
-
with leading academics and engineers on developing resource-efficient, adaptive learning frameworks for complex data environments. Key Responsibilities: Design and implement ensemble learning algorithms
-
Job Description Apply now Job Title: Associate Director (SW Engineering) Posting Start Date: 22/04/2025 Job Description: About NUS IT NUS Information Technology is the cornerstone to providing
-
University shaping the future. https://nusit.nus.edu.sg/ Job Description We are seeking an experienced Data Platform Engineering Lead to oversee data platform operations and ETL framework at NUS. The role will
-
experimental projects on Artificial Intelligence (AI) from initiation to implementation, working with project teams of Mentors, Engineers and Apprentices, and in collaboration with Project Sponsors, to jointly
-
Job Description Job Alerts Link Apply now Job Title: Assistant Professor (Electrical and Computer Engineering) Posting Start Date: 10/11/2025 Job Description: Job Description The Department
-
Job Description Job Alerts Link Apply now Job Title: Professor (Electrical & Computer Engineering) Posting Start Date: 13/05/2025 Job Description: Job Description The Department of Electrical and
-
such as prompt engineering, Retrieval-Augmented Generation (RAG), and Chain-of-Thought (CoT) for multi-agent and reasoning systems. Develop and fine-tune LLMs for specialized financial applications, such as
-
independently 6. Proficient in Microsoft Office application For more details on the Centre for Teaching, Learning and Technology, please visit https://ctlt.nus.edu.sg/ . More Information Location: Kent Ridge
-
with leading academics and engineers on developing resource-efficient, adaptive learning frameworks for complex data environments. Key Responsibilities: Design and implement ensemble learning algorithms