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Singapore Nanyang Technological University Full timeResearch Fellow (Electrical and Electronic Engineering/Material Science/Physics) page is loaded## Research Fellow (Electrical and Electronic Engineering/Material Science/Physics)locations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R School of Electrical and Electronic Engineering is one of the founding Schools...
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Singapore NATIONAL UNIVERSITY OF SINGAPORE Full timeRoles & ResponsibilitiesInterested applicants are invited to apply directly at the NUS Career PortalYour application will be processed only if you apply via NUS Career PortalWe regret that only shortlisted candidates will be notified.Job DescriptionThe Centre for International Law at the National University of Singapore is a university-level research centre,...
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Singapore NTU (Nanyang Technology University- Main Office-HR) Full time**Join Our Team at Centre for Disruptive Photonic Technologies, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore** A Research Fellow position is currently available at the Centre for Disruptive Photonic Technologies (CDPT), School of Physical & Mathematical Sciences, Nanyang Technological University (NTU),...
Research Fellow
3 weeks ago
The School of Materials Science & Engineering (MSE) is searching for a detailed and responsible Research Fellow (RF) with strong background in materials science and machine learning. This role involves researching the synthesis of high entropy nanostructured composites and utilizing existing machine learning algorithms to build a comprehensive materials database for analysis/reference.
Key Responsibilities:- Utilize established learning models to analyze materials produced by rapid thermal annealing methods.- Develop and fine-tune machine learning models for predictive and prescriptive analytics.
Job Requirements:
- Possess a PhD degree in Materials Science, computer science, machine learning, or any relevant science and engineering disciplines.- Strong interest in conducting interdisciplinary research, particularly in the intersection of machine learning, materials informatics and materials synthesis.- Strong proven background in machine learning, including experience with established models and data analytics.- Proficiency in standard programming languages such as Python, R, C+ for data analytics.- Excellent and relevant publication records- Excellent communication skills in written and oral English.- Independent scientist and a team player to work effectively in collaborative environments.
Hiring Institution: NTU
