宇宙第一材料课题组
在材料领域有个大佬赫赫有名，那就是多伦多大学的Sargent，总被引89792次，i10指数超过了627，说明至少发了627篇文章。
他有多厉害呢？
直接建了一个Nature和Science专栏，正刊和子刊加起来快接近200篇了，2019-2021三年就发了10篇正刊！
这么多文章背后是一个强大的团队，课题组非常庞大，将近百人，比很多小公司人还多，Sargent能管理这么多人，说明他不止学术做的好，管理能力也非常强。
大牛研究方向
Sargent出品，必属精品。他目前的研究方向包括储能和CO2转化、光伏、LED、探测器、机器学习。
这些领域他都发过至少一篇正刊，如：
1. CO2转化，Science文章1：CO2 electrolysis to multicarbon products in strong acid
2. 光伏，Science文章2：Efficient tandem solar cells with solution-processed perovskite on textured crystalline silicon
3. LED，Nature文章2: Perovskite light-emitting diodes with external quantum efficiency exceeding 20 per cent
4. 探测器，Science文章4：Colloidal Quantum-Dot Photodetectors Exploiting Multiexciton Generation
5. 机器学习，Nature文章5：Accelerated discovery of CO2 electrocatalysts using active machine learning
招聘简介
这次他们招聘博后，同时也招博士和研究生6。
对于博后：
We are looking for postdoctoral fellows who are excited to develop fast light-sensing technologies relevant to 3D imaging aka LiDAR. The available positions will focus on the development of next-generation time-of-flight systems via fundamental advances in the science and engineering of novel semiconductors and device architectures The requisite expertise for the positions includes the development of materials, the synthesis of novel colloidal quantum dots, and the development of systems for sensing applications.
We are seeking extraordinary candidates that unite excellent oral and written communications skills, outstanding leadership, and expertise in one or more of:
– Materials synthesis, surface chemistry, and analytical characterization
– Materials science and photo-physical characterization methods
– Deep knowledge of solid-state semiconductors
– Device fabrication skills and experience with at least one {colloidal quantum dots, perovskites, silicon, organics} or other novel semiconductors
– Physics and device multiscale modelling with tools such as COMSOL, Sentaurus, SCAPS and circuit modelling tools.
– Data sciences and machine learning（招机器学习的）
Successful candidates are expected to publish first-authored papers in high-impact journals and cultivate their mentoring skills by devoting a portion of their time to the supervision of graduate students in the group and the development of new research directions.
Applications should be sent beforeJanuary 1st, 2022（尽快准备，时间紧迫）, to Prof. Ted Sargent (ted.sargent@utoronto.ca) and Dr. Amin Morteza Najarian (amin.morteza@utoronto.ca) at the University of Toronto. Please list 3 referees who have confirmed that they are willing to supply letters of reference upon request.
对于博士和研究生：
We are recruiting graduate students for M.A.Sc. and Ph.D. degree positions. Please email (ted.sargent@utoronto.ca) with your CV and unofficial transcripts to initiate a conversation about opportunities in the Sargent group. Please go to https://www.ece.utoronto.ca/graduates/office/ for information on applying for graduate studies in ECE at the University of Toronto.
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from visible minority group members, women, Aboriginal persons, persons with disabilities, members of sexual minority groups, and others who may contribute to the further diversification of ideas.
写在最后
Sargent课题组通常是几个人合作发文章，共同一作很常见。你想，同样是给师兄师姐帮忙，给你一篇子刊共一，甚至是正刊的共一，是多么美好的一件事，科研的格局就此打开了。
如果你是机器学习高手，可以申请试下。去了他们组，将和非常优秀的人讨论课题，快速成长；出站后还能拥有多伦多大学背景，外加顶级门派资源。
参考文献：
1. Huang et al., Science 372, 1074–1078 (2021)
2. Hou et al., Science 367, 1135–1140 (2020)
3. Nature 562, 245–248 (2018). https://doi.org/10.1038/s41586-018-0575-3
4. Science, 01 Jun 2009, 324(5934):1542-1544
5. Nature 581, 178–183 (2020). https://doi.org/10.1038/s41586-020-2242-8
6. https://light.utoronto.ca/careers/
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