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悉尼科技大學(xué)招收力學(xué)、機(jī)械、土木等方向全獎(jiǎng)博士生
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悉尼科科技大學(xué) 方劍光博士(ARC Future Fellow & Senior Lecturer)課題組招收2名全額獎(jiǎng)學(xué)金博士生,獎(jiǎng)學(xué)金涵蓋3年x每年~37,000澳元學(xué)費(fèi)和36,000澳元生活費(fèi)。除學(xué)校的資助以外,博士期間至少資助一次國際會(huì)議的差旅4,000-5,000澳元。 注:目前澳洲學(xué)生簽證正常處理,2024年課題組的PhD學(xué)生簽證均在2周-2個(gè)月內(nèi)下簽。 研究課題:計(jì)算斷裂力學(xué),拓?fù)鋬?yōu)化,碰撞吸能,機(jī)器學(xué)習(xí),微觀材料設(shè)計(jì),多尺度優(yōu)化, 3D 打印設(shè)計(jì) 要求:1.英語成績(jī)。 IELTS (Academic): 6.5 overall, writing 6.0;TOEFL (Internet-based): 79-83 overall, writing 21 2.機(jī)械、土木及航空等相關(guān)力學(xué)背景研究生或者特別優(yōu)秀的本科生 3. 碩士期間發(fā)表過高水平論文,SCI檢索論文優(yōu)先考慮 同時(shí),也招收來自UTS合作伙伴高校(UTS KTP)的雙學(xué)位博士生及訪問學(xué)者。 有意者發(fā)送個(gè)人簡(jiǎn)歷,成績(jī)單,代表作至郵箱:Jianguang.Fang@uts.edu.au; Dr Jianguang Fang 個(gè)人主頁 https://www.uts.edu.au/staff/jianguang.fang Biographical details Dr Jianguang Fang is a Senior Lecturer and ARC DECRA Fellow at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS). His research is focused on computational mechanics and optimisation of structures and materials, including phase field modelling of fracture, structural crashworthiness, energy absorption, engineering optimisation and machine learning-based design. He won the prestigious Discovery Early Career Researcher Award (DECRA) from the Australian Research Council (ARC) in 2021 and Chancellor’s Postdoctoral Research Fellowship from UTS in 2017. He obtained his PhD from the University of Sydney in 2016 and was a visiting scholar at the Institute of Structural Mechanics, Bauhaus University Weimar, Germany in 2019. He has published >100 journal articles and received >5000 citations with an H-index of 40 in Google Scholar. Research areas: Dr Jianguang Fang’s research interests span a wide range of disciplines relevant to computational mechanics and optimisation, in civil engineering, mechanical, automotive, structural and materials engineering. His recent research has focused on some emerging issues in fracture mechanics, impact mechanics, crashworthiness, structural optimization, and topology optimization, where computational modelling and design are of significant implications. |
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