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ÓÐÐËȤµÄͬѧ»¶Ó­ÁªÏµÕÔÏþΰ½ÌÊÚ£ºxiaowei.zhao@warwick.ac.uk.

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marie sklodowska-curie early stage researcher (requiring to register as phd student) in  machine learning and wind farm control (3 posts)

3 x fixed term positions for 36 months each, starting as soon as possible, not but no later than 30 sep 2020.

salary: ¡ê41,730.98 per annual, plus family allowance (if eligible) and training allowance (for conference, secondment, research, networking etc.)

the school of engineering is looking to appoint three full-time marie sklodowska-curie early stage researchers (three posts) to undertake independent and collaborative research in modelling and control of wind farm and its grid integration based on machine learning and intelligent control technologies.

these positions are three of the 15 positions available within the €4.3 millon wingrid (wind farm - grid interactions: exploration and development) project which is sponsored by the h2020-msca-itn program and led by prof. xiaowei zhao at the university of warwick. the wingrid consortium aims to investigate future power system integration issues associated with large-scale deployment of wind generation, focussing on the modelling and control aspects of wind turbine design, and the system stability issues and supervisory structures required for robust implementation.  wingrid comprises an expert group of 10 academics from 8 beneficiary organisations including 7 leading universities and one large company dnv gl across 6 countries. it also has 8 internationally renowned industrial partners (e.g. abb, vestas). the wingrid consortium will provide the esrs with extensive technical and interpersonal skills training. each esr will have internship opportunities in at least one of the industry partners and will visit at least one of the academic collaborators.

it is essential that you have a good honours degree and a master¡¯s degree (or equivalent) in the fields of in the fields of control engineering, machine learning, data science, mathematics, electrical engineering or mechanical engineering. you will have a developing research profile with the ability to publish high quality research output. you will have excellent it skills including demonstrable ability to use it to write technical research papers and presentations. you are also required to be an excellent communicator with strong communication skills, and be able to evidence excellent interpersonal skills with relevant experience of working independently and as part of a team. the successful candidate will have experience and/or knowledge in at least one of the following areas: intelligent control, data-driven control, optimal control, data science, machine learning, wind energy, and optimization.

you will be required to meet marie curie early stage researcher eligibility criteria. as a condition of the project at the time of recruitment the researcher shall not have resided or carried out his/her main activity in the uk for more than 12 months in the 3 years immediately prior to his/her recruitment under the project, and you must not have been awarded a doctoral degree. applicants must be in the first four years of their research career (e.g. working as a researcher after obtaining your master¡¯s degree) and you will be registered, or demonstrate a willingness to register, for a phd degree at the university of warwick.

these posts are for a fixed term of 36 months to start as soon as possible but not later than 30 sep 2020.

if you are interested in this post please contact prof. xiaowei zhao at xiaowei.zhao@warwick.ac.uk

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