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botw

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[交流] Helmholtz-OCPC Chinese postdoc program (DESY) - XFEL + AI

德国helmholtz-ocpc博士后交流项目 https://www.helmholtz.de/aktuell ... pc-postdoc-program/ 。科研工作为期两年（原则上可延长一年）。这里有一个往年的中文版的详细介绍  https://blog.sciencenet.cn/blog-320892-1132013.html 。

待遇 15万人民币/年（税前/中方支付）+ 1.8万欧元/年（税后/德方支付）=  大约 3.6 万欧元/年（税后）。这个待遇在德国对于刚毕业的博士是很不错的，尤其对于单身人士，因为不用在德国缴税。

desy （www.desy.de ）是德国helmholtz联合会下属的18个国家实验室之一，是世界最先进的加速器研究中心之一。该博后位置的主要研究方向是将人工智能技术应用于大型自由电子激光装置（flash and european xfel) 的控制和优化。我们这边的申报2月12号截止。我们希望先找到有意向而且合适的候选人，然后根据候选人的专业背景决定具体的研究方向（比如您是擅长束流动力学模拟、机器学习、大数据管道还是软件开发等）。正式职位放出来后，候选人还需走正式的申请流程。

应聘条件：

1. phd in physics, computer science, electrical engineering, etc.
2. excellent knowledge in at least two of the following areas: (1) big data analysis and data engineering in python, (2) hand-on experience with deep learning using tensorflow and/or pytorch, (3) experience with high performance parallel computing infrastructure for hpc environments, (4)  beam dynamics simulation with astra, elegant, impact-t, etc. (5) significant contribution to open source projects in github/gitlab.
3. background in particle accelerators is a big advantage.
4. programming skills in c++ 11/14/17 is an advantage.
5. desire to work in international and interdisciplinary teams is expected.
6. good english language skills are required.
7. young scientists under the age of 35 with chinese passport, having taken their degree or to take their phd degree before the final decision in september 2021 in china or abroad or even abroad at the time of application, are also eligible to apply as long as they could find a postdoc research station to accept their application and to make further recommendation to ocpc.

如果申请成功，您将加入msk (https://msk.desy.de/), group leader是holger schlarb. msk下面具体又有很多分组，分别负责低电平系统，同步，软件开发，硬件开发，micro tca实验室、数字电路、模拟电路、束流特殊诊断、人工智能控制等。机器学习这块目前是汉堡大学的annika eichler和我 (https://www.linkedin.com/in/jun-zhu-0bb51782/) 负责。

感兴趣的请发简历至 jun.zhu@desy.de

谢谢！

[ last edited by botw on 2021-2-2 at 05:20 ]

[ last edited by botw on 2021-2-3 at 08:19 ]

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DESY013 Interpretable and Multi-purposed Neural Network-Based Surrogate Models for Super-Fast Beam Dynamics Simulation Jun Zhu DESY DESY-M-MSK jun.zhu@desy.de

[ Last edited by botw on 2021-3-16 at 21:29 ]

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