Research Associate
1 week ago
For more details, please viewhttps://www.ntu.edu.sg/erian
Weare looking for experienced individuals with a strong background incomputational modelling, thermal energy systems, and machinelearning. The hired researchers will join an interdisciplinary teamto develop innovative integrations of advanced computationaltechniques and thermal energy storage solutions, focusing ondiscovering novel materials and optimizing energy systems throughmachine learning. Promising solutions developed will beexperimentally validated, demonstrated and potentiallycommercialised at ERI@N.
KeyResponsibilities:
- Workclosely with colleagues to ensure the requirements of the researchproject are met
- Conduct computational fluiddynamics (CFD), molecular dynamics (MD), and/or density functiontheory (DFT) studies for energy materialdevelopment
- Use artificial intelligence (AI)techniques for material discovery and/or devicedesign
- Use 3D printing techniques to fabricatephase change materials (PCM) composites
- Assistin experimental works or other required works by thePI
- Use data science techniques to processexperimental results
- Write scientificpapers/technology/reports and other work-relateddocuments
- Develop machine learning algorithmsfor material discovery and novel heat exchanger design toseamlessly integrate PCMs into thermalsystems.
- Fabricate PCM composites withoptimized geometries through 3D printingtechnologies.
JobRequirements:
- Master'sdegree in Material Science, Chemistry, Mechanical Engineering,Chemical Engineering, Mathematics, or equivalent disciplines from aprestigious university
- At least 1 year ofresearch experience with python, Matlab, orC++
- Experience in CFD/DFT/MD ispreferable
- Experience in machine learning ispreferable
- Experience in thermal energystorage, hydrogen, and energy systems ispreferable
We regret thatonly shortlisted candidates will benotified.
Hiring Institution: NTU
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