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[Sponsors] |
Job Record #19441 | |
Title | CFD and ML modeling of reactive flow and transport phenomena |
Category | PhD Studentship |
Employer | Shanghai Jiao Tong University |
Location | China, Shanghai |
International | Yes, international applications are welcome |
Closure Date | Tuesday, December 31, 2024 |
Description: | |
Mainly engaged in scientific and technological research in the fields of low- carbon energy and smart chemical engineering. One can engage in but not limited to the following research directions: 1. Multiphase flow and reactor engineering (reactor design and scaling up, including fixed beds, fluidized beds, risers, stirred tanks, bubble columns, etc.; multiphase transfer and reaction process intensification) 2. Multi-scale smart computing and optimization (Computational fluid dynamics, Mesoscale science, Machine learning, Multi-objective optimization, Online optimization, etc.) 3. Smart Energy and Chemical Industry (Digitization, Digital twin, Language Modeling; Process design and integration) 4. Design and thermal management of new energy devices (Fuel cell flow channel design and optimization, Chip heat dissipation channel design and optimization, Battery thermal management) We are seeking candidates with backgrounds in chemical engineering, fluid mechanics, automation, engineering thermophysics, energy and power engineering, and other related disciplines.Unfortunately, the research group currently does not have any available scholarships to offer to candidates. Candidates will need to apply for scholarships from the government or the university on their own.The candidate should have published at least 2 SCI papers. Article link:https://scholar.google.com/citations?user=ZojFcCQAAAAJ&hl=zh- CN&oi=ao |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19441 when responding to this ad. | |
Name | Prof. Zhu |
zhulitao91@sohu.com | |
Email Application | Yes |
URL | https://scholar.google.com/citations?user=ZojFcCQAAAAJ&hl=zh- CN&oi=ao |
Address | zhulitao91@sohu.com |
Record Data: | |
Last Modified | 01:08:49, Wednesday, November 06, 2024 |
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