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carlos_wu

新虫 (初入文坛)

应助: 0 (幼儿园)
金币: 21
帖子: 5
在线: 30分钟
虫号: 2359353
注册: 2013-03-19
性别: GG
专业: 建筑物理

[交流] 顶尖美资500强企业上海研究院急聘建筑节能科研人员(猎头职位)

具体工作地点:

上海

薪金:

30W~50W/Y

学历和研究方向:

博士；建筑节能

联系方式:

18061759567; carlos@susanheadhunting.cn; carlos_wu

Job Description:

·    Participate in multi-disciplinary teams on projects related to building energy system modeling and simulation.
·    Develop innovative modeling methods and solutions to multiple applications including modeling of building envelope, loads and HVAC systems, fault detection of the energy performance, and corrective algorithm optimization and implementation.
·    Support technology demonstration of advanced building energy management systems.
·    Create new technical and project opportunities through technology leveraging, strategic partnering, and acquisition of external contracts.

Minimum Qualifications Required:
·    PhD degree in Mechanical or Thermal Engineering with 3-5 year professional experience.
·    In-depth knowledge and experience in building energy system modeling, analysis, simulation and computation (MASC).
·    Familiarity with building energy management systems.
·    Fluent in English (both written and spoken) and good communication skills. Chinese is desirable but not necessary.

Preferred Candidates will possess the following:
·    PhD degree in Mechanical or Thermal Engineering with 5+ year professional experience.
·    Field experience with implementation or monitoring of building energy management systems.
·    Experience with MATLAB, TRNSYS, EnergyPlus, eQuest and Dymola
·    Experience with building energy diagnostics and controls is a plus..
·    Self-starter who works well in an international teaming environment, is extremely well-organized and has excellent interpersonal, leadership and communication skills

另外，有建筑节能诊断、建筑节能控制职位同期招聘，欢迎有兴趣的朋友来电或邮件沟通!
关键词：model-based control，control，real-time control，control design，modeling，analysis，建模，分析，控制，控制设计，模型控制，实时控制，建筑，暖通空调，制冷。
Advanced modeling and analysis methods, control design of high performance building, HVAC, energy systems

Building energy system remote monitoring, equipment level and system level fault detection and diagnostics, and corrective algorithm optimization and implementation

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