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超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步

宇宙第一材料課題組

在材料領域有個大佬赫赫有名,那就是多倫多大學的Sargent,總被引89792次,i10指數(shù)超過了627,說明至少發(fā)了627篇文章。

超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
他有多厲害呢?
直接建了一個Nature和Science專欄,正刊和子刊加起來快接近200篇了,2019-2021三年就發(fā)了10篇正刊!

超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步

這么多文章背后是一個強大的團隊,課題組非常龐大,將近百人,比很多小公司人還多,Sargent能管理這么多人,說明他不止學術做的好,管理能力也非常強
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步

大牛研究方向

Sargent出品,必屬精品。他目前的研究方向包括儲能和CO2轉化、光伏、LED、探測器、機器學習。

超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
這些領域他都發(fā)過至少一篇正刊,如:
1. CO2轉化,Science文章1:CO2 electrolysis to multicarbon products in strong acid
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
2. 光伏,Science文章2:Efficient tandem solar cells with solution-processed perovskite on textured crystalline silicon
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
3. LED,Nature文章2: Perovskite light-emitting diodes with external quantum efficiency exceeding 20 per cent
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
4. 探測器,Science文章4Colloidal Quantum-Dot Photodetectors Exploiting Multiexciton Generation
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步
5. 機器學習,Nature文章5:Accelerated discovery of CO2 electrocatalysts using active machine learning
超級大門派!Nature&Science專業(yè)戶,Sargent招人啦!去了就子刊起步

招聘簡介

這次他們招聘博后,同時也招博士和研究生6

對于博后:
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(招機器學習的)
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(盡快準備,時間緊迫), 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.
對于博士和研究生:
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.

寫在最后

Sargent課題組通常是幾個人合作發(fā)文章,共同一作很常見。你想,同樣是給師兄師姐幫忙,給你一篇子刊共一,甚至是正刊的共一,是多么美好的一件事,科研的格局就此打開了。

如果你是機器學習高手,可以申請試下。去了他們組,將和非常優(yōu)秀的人討論課題,快速成長;出站后還能擁有多倫多大學背景,外加頂級門派資源。
參考文獻:
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/

原創(chuàng)文章,作者:Gloria,如若轉載,請注明來源華算科技,注明出處:http://www.zzhhcy.com/index.php/2023/10/18/be6bc9ed23/

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