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新加坡南洋理工大学招聘多名博士后和研究助理
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NTU Prof Wan' team 招聘 控制/机械/建筑土木方向博士后/研究助理若干。 有意者请发送简历到邮箱yangshiyu@ntu.edu.sg 职位描述及要求： 1. Research Associate Responsibilities • Expert knowledge of building automation and control system, real-time closed loop control system design and implementation. • Industry or research lab experience is required. • Ability to develop control algorithms, quantitative evaluation of building energy systems. • Candidate will be required to establish test bed in a campus buildings, benchmarking of current building control performances using database, quantitative evaluation, etc. Requirements • Candidate must possess Masters degree in EE/automation engineering or related background. • Programming in C++/python • Experience with MATLAB, LabVIEW or similar control platform. • Knowledge and experience with real-time closed loop control system design and implementation • Knowledge of constrained optimization such as liner/quadratic programming, genetic algorithm et al. • Experience and knowledge of modelling (physics based/machine learning based) and simulation for thermal/energy system. • Strong analytical and conceptual abilities. Ability to work in a team as well as independently. • Able to work under pressure and meet deadlines. 2. Research Associate Responsibilities • Expert knowledge of building automation and control system, real-time closed loop control, building management communication protocols. • Industry or research lab experience is required. • Ability to develop control algorithms, quantitative evaluation of building energy systems. • Candidate will be required to establish test bed in a campus buildings, benchmarking of current building energy performances using database, quantitative evaluation, etc. Requirements • Candidate must possess a Masters in mechanical/ Electromechanical/civil engineering or related background. • Knowledge of mechanical, thermal and energy systems in buildings • Knowledge of industry controller such as DDC/PLC/IPC etc. • Knowledge and experience of sensors and actuators • Knowledge and experience of control system integration between sensors, actuators and controller. • Knowledge of industry communication protocol • Able to work under pressure and meet deadlines. 3. Research Fellow Responsibilities • Expert knowledge of building automation and control system, real-time closed loop control, building management communication protocols. • Industry or research lab experience is required. • Ability to develop control algorithms, quantitative evaluation of building energy systems. • Candidate will be required to establish test bed in a campus buildings, benchmarking of current building energy performances using database, quantitative evaluation, etc. Requirements • Candidate must possess a PhD in mechanical/ Electromechanical/civil engineering or related background. • Knowledge of mechanical, thermal and energy systems in buildings • Knowledge of industry controller such as DDC/PLC/IPC etc. • Knowledge and experience of sensors and actuators • Knowledge and experience of control system integration between sensors, actuators and controller. • Knowledge of industry communication protocol • Able to work under pressure and meet deadlines. 4. Research Fellow Responsibilities • Expert knowledge of building automation and control system, real-time closed loop control system design and implementation. • Industry or research lab experience is required. • Ability to develop control algorithms, quantitative evaluation of building energy systems. • Candidate will be required to establish test bed in a campus buildings, benchmarking of current building control performances using database, quantitative evaluation, etc. Requirements • Candidate must possess a PhD in EE/automation engineering or related background. • Programming in C++/python • Experience with MATLAB, LabVIEW or similar control platform. • Knowledge and experience with real-time closed loop control system design and implementation • Knowledge of constrained optimization such as liner/quadratic programming, genetic algorithm et al. • Experience and knowledge of modelling (physics based/machine learning based) and simulation for thermal/energy system. • Strong analytical and conceptual abilities. Ability to work in a team as well as independently. • Able to work under pressure and meet deadlines. |
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