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标题: 应聘光学镀膜工程师 [打印本页]

作者: wangbin8918    时间: 2012-9-21 20:28
标题: 应聘光学镀膜工程师
本帖最后由 wangbin8918 于 2021-11-5 14:18 编辑

1.       能够熟练应用TFCalc膜系设计软件设计和优化各种膜系;对其他膜系设计软件如MASS,Filmstar,Mcalc-大众版有一定了解和掌握;熟悉Matlab软件及LightTools软件;并且能够熟练运用AutoCAD绘图软件。 vNjc  
2.       能够熟练掌握蒸镀法、磁控溅射法(RF sputtering)、溶胶凝胶法(Sol-gel)、脉冲激光沉积法(PLD)等薄膜制备技术及相应表征方法。 -crMO57/  
3.       能够熟练操作蒸镀机和磁控溅射(日本ULVAC和沈阳中科仪JGP560C12型)设备,精通其工作原理,对生产中出现的问题有一定的解决能力。 /b>xQ.G  
4.       熟练使用分光光度计并使用Origin对数据进行处理与分析。 IoOOS5a  

作者: jobforyou    时间: 2012-9-26 10:12
猎头为微软中国有限公司寻找SDE II-ARD/STB-SQL

我是www。eepeople。com 猎头顾问Nicole Li。www。eepeople。com 是面向电子/电气工程行业人员的人脉社交网站。现在微软中国有限公司急招一名SDE II-ARD/STB-SQL,具体信息如下:

职位名称                                 SDE II-ARD/STB-SQL      
公司                                         微软中国有限公司
职能部门                                 研发中心/R&D   
职位所在城市                         Shanghai      
职位所需经验                         5 years        

职位描述
Data is at the heart of all modern enterprises. It powers strategic decisions, creates lasting competitive advantages, generates new insights. Technology has made it easy to acquire enterprise data and store vast amounts of it cheaply.

Yet connecting decision makers with their data is as hard as it’s ever been. What are the data sets in my enterprise that are relevant to my question? Where do I start looking?! Can I trust that spreadsheet? Where did it come from? Is it high quality? How do the data sets I found relate to each other? Can I easily mash them up to get new insights? How do I run my analytics at the massive scale of my enterprise?

These are the type of questions people ask daily. The software industry has been working for decades to answer them, but the volume and complexity of data has been outpacing traditional approaches. We believe we have found a technical strategy that solves these problems in a disruptive and innovative way. It combines the power of the cloud, information retrieval, data mining, distributed computing and big data analytics to provide a unique portfolio of services across enterprise, social network and public data that will enable end-user experiences previously envisioned only in science fiction.

Intrigued and curious? Or skeptical and want to challenge it? Drop a note to the hiring manager and learn more.
We’re looking for software engineers & leads of all levels with a passion for building robust and scalable systems; experts in Machine Learning, Data Mining, Information Retrieval, Distributed Algorithms, Storage and Query are plus.

Join a world-class team that is set up to innovate, create and lead from the ground up. Solve some of the hardest problems in modern computer science, ship often and have fun. This is a once in a career opportunity to join a young, fast growing and exciting team that is building the infrastructure to power the next generation of cloud data services. The team collaborates tightly between Shanghai and Redmond (US) so you can gain large scale distributed service development experience in a fast pace work environment.

职位所需技能
The ideal candidate would have a BS degree in Computer Science (or equivalent), M.S./Ph.D. preferred and 5+ years of systems development experience working in native and/or managed code environments (C/C++, C# or Java). Experience with building robust, highly scalable services and distributed systems, data mining, “big data” storage and query problems, information retrieval, machine learning, security/privacy, distributed algorithms are desirable but not absolutely required.
Design and development experience in at least one full product development cycle is required.

除上述职位外, www。eepeople。com 还有更多类似技术职位。 有意者请将中英文简历发至这邮箱: nicoleli_nl01@163.com, 也可在www。eepeople。com 上找到我并在线联系。
(注:链接中的“。”代表“.”)



作者: 超越    时间: 2012-10-10 13:49

作者: wangbin8918    时间: 2012-10-30 21:06

作者: wangbin8918    时间: 2012-11-18 08:51
多读研究生三年,对找工作没有什么好处啊
作者: 魅力薄膜    时间: 2013-6-24 20:16
继续读吧 镀完博士就牛了




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