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 楼主| 发表于 2023-5-15 14:25:20 | 显示全部楼层 |阅读模式
课题组简介:超快光学与量子材料课题组是2023年7月起于新加坡国立大学物理系组建的研究小组,现拟招收全奖博士生及博士后研究员。该实验室致力于使用前沿的超快光学手段,太赫兹谱学和非线性光谱学对量子材料进行研究,以理解复杂材料内多自由度的微观相互作用和实现对宏观性质及材料相图的超快调制。课题组的研究是未来量子技术和超高速光电子器件研发的重要基石。加入课题组的同学将与导师和课题组成员紧密交流合作,共同(从感兴趣的物理问题出发)搭建光学测量系统,采集实验数据,以及对数据进行归纳,分析,总结,从而获得充分的科研训练。
课题组网页:https://www.lixinweigroup.com

导师简介:李昕蔚,2014年本科毕业于复旦大学物理学系,2019年在美国莱斯大学电子工程系获得博士学位,2019至2023年在美国加州理工学院物理系任troesh奖励计划博士后研究员,2023年7月起入职新加坡国立大学物理系,任职“校长青年教授”。长期从事太赫兹磁光谱学,光与物质的超强耦合,超快光学,和凝聚态体系中光致相变等方向的研究,曾率先提出磁性晶体中自旋相互作用的迪克协同性;成功研发具有超高协同性参数的朗道极化子器件;使用亚能隙强场飞秒脉冲对强自旋-轨道耦合的mott绝缘体实现了超快能带控制。发表science 2篇, nature photonics 2 篇, nature physics 1 篇, 和physical review letters 2篇。代表作请见researchgate主页(https://www.researchgate.net/profile/xinwei-li-5)。

联系方式:课题组优先招收对光学凝聚态物理有浓厚兴趣,或者在光谱学、非线性光学、凝聚态物理实验/理论、微纳加工等相关领域有工作经验的申请者。申请者请将简历发送至李昕蔚博士的邮箱(xwli.nus[at]hotmail.com)。

学校简介:consistently ranked as one of the top universities in asia and the world, national university of singapore (nus) is internationally respected for its high-quality multi-disciplinary research that addresses complex and critical issues facing asia and the world. nus is placed 11th in the quacquarelli symonds world university rankings 2022. nus’ 17 faculties and schools, as well as its 33 university-level research institutes and centres, focus on addressing critical and complex issues confronting asia and the world. the university is also home to four of singapore’s six research centres of excellence (rces) — specialising in quantum technologies, cancer, mechanobiology and intelligent materials -— and is a partner in a fifth rce on environmental life sciences and engineering. much of the research at nus is integrated and multidisciplinary in nature, with particular emphasis on themes such as energy, environmental and urban sustainability solutions; biomedical sciences and translational medicine; active ageing; materials science; and finance and risk management. our newest research cluster supports singapore’s smart nation initiative through its strategic capabilities in data sciences, optimisation research and cyber-security.


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