The project is hiring 1 postdoctoral fellows at SUSTech for Image Processing and Deep Learning).南方科技大學(xué)課題組現(xiàn)公開招聘博士后1名(圖像處理和深度學(xué)習(xí)方向)。
Title/項(xiàng)目名稱
Tensor Dimension Reduction for Multimodal Data and its Application in EEG Analysis（多模態(tài)張量降維方法研究和在EEG數(shù)據(jù)分析中的應(yīng)用）
Abstract/項(xiàng)目簡介
Multimodal data analysis, driven by the increasing variety of data types in applications, has attracted much interest in statistics, focusing on encoding different modalities into a common representation space to build predictive models or explore relationships between modalities.The main goal of the project is to build models to describe complicated dependencies between modalities.This is particularly challenging when at least one modality is a tensor due to the complexity of tensor structures.Our idea is to introduce a novel Structural Equation Model (SEM) based tensor matrix factorisation model to simultaneously extract latent scores and build relationships between modalities.The context of the proposal is the study of insomnia patients, where EEG data and questionnaire responses are analysed to understand the relationship between these very different types of data.The project outlines four specific problems, including the development of new tensor matrix factorisation models, the investigation of identifiability conditions, the measurement of non-linear dependence in tensor decomposition, and the study of functional connectivity models in the context of tensor matrix factorisation.statistical inference, implementation tools, optimisation algorithms and theory of both statistical and optimisation errors will be studied.Applications to the analysis of other wearable and mobile data will also be explored.The project will include but is not limited to the following four topics (1) SEM-based tensor matrix factorization model; (2) Nonlinear tensor matrix factorisation models and identifiability; (3) Tensor Decomposition with a measure of nonlinear dependence; (4) Functional connectivity analysis based on factorisation model.
由于在實(shí)際應(yīng)用中的數(shù)據(jù)類型日益多樣化，多模態(tài)數(shù)據(jù)分析引起了統(tǒng)計(jì)學(xué)界的極大興趣。其核心在于將不同模態(tài)的數(shù)據(jù)編碼到一個(gè)共同的空間中，以建立預(yù)測模型或探索各模態(tài)之間的關(guān)系。該項(xiàng)目的主要目標(biāo)是建立模型來描述模態(tài)之間潛在的依賴關(guān)系。由于涉及張量結(jié)構(gòu)的復(fù)雜性，當(dāng)至少一種模態(tài)為張量時(shí)，這項(xiàng)工作尤其具有挑戰(zhàn)性。我們的思路是引入一種新穎的基于結(jié)構(gòu)方程模型的張量矩陣因式分解模型，以同時(shí)提取潛在變量并建立模態(tài)之間的關(guān)系。該項(xiàng)目的背景是針對(duì)失眠癥患者的研究，通過分析腦電圖數(shù)據(jù)和問卷答復(fù)來了解這些截然不同數(shù)據(jù)類型之間的關(guān)系。該項(xiàng)目包含了四個(gè)具體問題，包括開發(fā)新的張量矩陣因式分解模型、研究可識(shí)別性條件、測量張量分解中的非線性依賴性以及在張量矩陣因式分解背景下研究功能連接模型。該項(xiàng)目研究范圍涵蓋了統(tǒng)計(jì)推斷、實(shí)現(xiàn)工具、優(yōu)化算法以及統(tǒng)計(jì)和優(yōu)化誤差理論。此外，還將探討該方法在其他可穿戴和移動(dòng)數(shù)據(jù)分析方面的應(yīng)用潛力。該項(xiàng)目將包括但不限于以下四個(gè)主題：(1)基于結(jié)構(gòu)方程模型的張量矩陣因式分解模型；(2)非線性張量矩陣因式分解模型與可識(shí)別性；(3)考慮非線性依賴的張量分解；(4)基于因式分解模型的功能連接分析。
PIs at SUSTech
Dr.Chao Wang （王超博士）
個(gè)人主頁：https://wangcmath.github.io/
Dr.Wang is an Assistant Professor of the Department of Statistics and Data Science at Southern University of Science and Technology.His research directions are mainly image processing, scientific computing, and interdisciplinary data science.He has published over 30 papers in top-tier journals such as the SIAM series and IEEE Transactions, as well as leading conferences, and has received notable accolades including the Best Paper Award at the 2022 CVPR Workshop, the Shenzhen Pengcheng Peacock Plan Distinguished Professorship (2021), and the Best Paper Award at the 2017 Annual Meeting of China Society for Industrial and Applied Mathematics.He has led research projects such as the National Natural Science Foundation of China Youth Program, Guangdong Basic and Applied Research Foundation Program, and Shenzhen Science and Technology Program, while also contributing as a principal investigator or core member to major initiatives including the National Key Research and Development Program, Hong Kong RGC Research Fund projects, and Shenzhen Fundamental Research Program.王超，南方科技大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系副研究員，博導(dǎo)，其研究方向主要為圖像處理、科學(xué)計(jì)算與交叉學(xué)科的數(shù)據(jù)科學(xué)。在本領(lǐng)域期刊SIAM系列、IEEE匯刊等雜志及學(xué)術(shù)會(huì)議發(fā)表學(xué)術(shù)論文三十余篇。在2022年CVPR研討會(huì)獲得最佳論文，在2021年獲深圳市鵬城孔雀計(jì)劃特聘崗位，在2017年獲得中國工業(yè)與應(yīng)用數(shù)學(xué)學(xué)會(huì)年會(huì)最佳論文。主持國自然青年基金、廣東省面上基金以及深圳市穩(wěn)定支持面上項(xiàng)目，以課題負(fù)責(zé)人或核心成員參與國家重點(diǎn)研發(fā)項(xiàng)目、香港研資局科研基金項(xiàng)目以及深圳重點(diǎn)項(xiàng)目。
Prof.Jian Qing Shi (史建清教授)
個(gè)人主頁：http://faculty.sustech.edu.cn/shijq
Dr Jian Qing Shi is a
Professor of Statistics in the Department of Statistics and Data Science and
the director of the Center for Biostatistics at Southern University of Science
and Technology (SUSTech), China.Before joining SUSTech in 2020, he was Turing
Fellow in the Alan Turing Institute
PIs at NUS
Prof.Yingcun XIA (夏應(yīng)存教授)
個(gè)人主頁：https://blog.nus.edu.sg/homepage/research/
Dr Yingcun XIA is a
Professor of Statistics in the Department of Statistics and Data Science at the
National University of Singapore (NUS).He worked as a Research Associate at the
London School of Economics and Political Science and at
夏應(yīng)存，新加坡國立大學(xué)統(tǒng)計(jì)與應(yīng)用概率系教授， 2000年至2001年在倫敦政治經(jīng)濟(jì)學(xué)任助理研究員，2001年至2003 年為劍橋大學(xué)助理研究員?，F(xiàn)任Annals of Statistics, Computational Statistics & Data Analysis等期刊的副主編。夏應(yīng)存的研究興趣包括非參數(shù)回歸分析，計(jì)量經(jīng)濟(jì)及金融時(shí)間序列分析，高維數(shù)據(jù)分析，環(huán)境與健康的統(tǒng)計(jì)分析。在學(xué)術(shù)期刊PNAS， AoS， JASA， JRSSB， American Naturist， JoE 等發(fā)表多篇論文。部分論文在JRSSB，Statistical Sciences及Statistica Sinica等期刊上專題討論；Nature News等十幾家學(xué)術(shù)媒體對(duì)其工作做過專題報(bào)道。
Postdoc Positions/博士后崗位招聘
We are hiring 1 postdoctoral fellow.The details are listed below.
課題組現(xiàn)公開招聘博士后1名；具體崗位信息如下：
01、Job Requirements/崗位要求
1.Hold a PhD degree (or complete a PhD program in 2024) in Statistics, Mathematics, Computer Science or other related areas.
2.Proficiency in Python/R or other computer languages.
3.Good knowledge and strong research abilities in statistical/mathematical methodology, theory and implementation, preferable on high-dimensional data analysis, image processing or deep learning.
4.Preference of having experience in preparing research papers or proposals in English.
5.Good communication and presentation skills in both English and Chinese.
1.獲得或即將獲得統(tǒng)計(jì)、數(shù)學(xué)、計(jì)算機(jī)或其他相關(guān)學(xué)科的博士學(xué)位，境外名?；颉?/span>
2.精通Python/R或其他至少一種計(jì)算機(jī)語言；
3.有較強(qiáng)的統(tǒng)計(jì)/數(shù)學(xué)方法和理論基礎(chǔ)知識(shí)和實(shí)踐能力；有高維復(fù)雜數(shù)據(jù)分析、復(fù)雜模型或圖像處理研究經(jīng)驗(yàn)者優(yōu)先；
4.具有較強(qiáng)英文寫作能力，有論文或項(xiàng)目書等寫作經(jīng)驗(yàn)者優(yōu)先；
5.具有良好的溝通能力和展示能力。
02、Duties and Responsibilities/崗位職責(zé)
1.Undertake research related to the project.
2.Help to prepare research proposals.
3.Help on other research activities.
1.進(jìn)行與本課題相關(guān)的科研工作；
2.協(xié)助課題組申報(bào)各類科研課題及承擔(dān)相應(yīng)的科學(xué)研究任務(wù)；
3.協(xié)助完成課題組的其他日常工作。
03、Benefits and Rewards/待遇與福利
1.博士后聘用期兩年，年薪33萬元起，含廣東省生活補(bǔ)貼15萬元（稅前）及深圳市生活補(bǔ)貼6萬元（稅前），并按深圳市有關(guān)規(guī)定參加社會(huì)保險(xiǎn)及住房公積金。博士后福利費(fèi)參照學(xué)校教職工標(biāo)準(zhǔn)發(fā)放。
2.特別優(yōu)秀候選人可以申請(qǐng)校長卓越博士后，年薪可達(dá)50萬元以上。（含廣東省及深圳市在站生活補(bǔ)貼）。
3.在站期間，可依托學(xué)校申請(qǐng)深圳市公租房，未依托學(xué)校使用深圳市公租房的博士后，可享受兩年稅前2800元/月的住房補(bǔ)貼。
4.擁有優(yōu)良的工作環(huán)境和境內(nèi)外合作交流機(jī)會(huì)，博士后在站期間享受兩年共計(jì)2.5萬學(xué)術(shù)交流經(jīng)費(fèi)資助。
5.課題組協(xié)助符合條件的博士后申請(qǐng)博士后人才項(xiàng)目。如成功申請(qǐng)，最高可享受總計(jì)100萬元補(bǔ)貼（與廣東省及深圳市在站博士后生活補(bǔ)貼不同時(shí)享受）。
6.博士后出站選擇留深從事科研工作，且與本市企事業(yè)單位簽訂3年以上勞動(dòng)（聘用）合同的，可以申請(qǐng)深圳市博士后留深來深科研資助。深圳市政府給予每人每年10萬元科研資助，共資助3年（以深圳市最新申報(bào)要求為準(zhǔn)）。
7.根據(jù)《深圳市新引進(jìn)博士人才生活補(bǔ)貼工作實(shí)施辦法》規(guī)定，新引進(jìn)博士人才生活補(bǔ)貼（10萬元）與省市博士后在站生活補(bǔ)貼不同時(shí)享受。
04、To apply/聯(lián)系方式
To apply for the position, please send the following information to lihw3@mail.sustech.edu.cn with the title “SUSTECH&NUS JOINT RESEARCH PROJECT -postdoc-your name-your major”.
1.Resume (with a complete list of publications and transcripts).
2.The full manuscript of 2 representative publications.
3.Other research outputs such as books, patents, etc.
有意向者請(qǐng)將個(gè)人詳細(xì)簡歷(包括成績單和已發(fā)表文章的完整列表)、代表性學(xué)術(shù)成果等整合為一個(gè)PDF文件，郵件發(fā)送至
郵件標(biāo)題請(qǐng)注明：SUSTech&NUS聯(lián)合研究項(xiàng)目-博士后崗位-姓名-專業(yè)。
You may contact Dr.Chao Wang (wangc6@sustech.edu.cn) for an informal enquiry.
有意向者也可以預(yù)先聯(lián)系王超副研究員(wangc6@sustech.edu.cn)。
Introduction of the Department of Statistics and Data Science at SUSTech/南方科技大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系介紹
SUSTech
Established in April 2019, the Department of Statistics and Data Science aims to institute a world-class learning and research center.The department is committed to cultivating top-notch talents’ proactive thoughts, innovative thinking, global vision, as well as their core skills in scientific methodologies.The department now offers two undergraduate programs: major in Statistics, and major in Data Science and Big Data Technology.The department also offers M.Sc.and Ph.D.programs in Probability and Statistics.Key specialized research areas of our faculty members include Mathematical Statistics, Biostatistics, Financial Statistics and Data Science.
We currently have 22 full-time and 4 jointly appointed faculty members (including 3 new members who will join the department soon), comprising 4 Chair Professors, 4 Professors, 7 Associate Professors and 11 Assistant Professors.All faculty members of the department have extensive overseas study or working experiences, including an invited speaker at the International Congress of Mathematicians, two winners of the prestigious State Natural Science Award (2nd class), two Institute of Mathematical Statistics (IMS) Fellows, an IMS Council member, a Fellow of American Statistical Association, an IMS Medallion Lecturer, a Fellow of the Royal Statistics Society, a Fellow of the British Computer Society.
Thanks to the rich and quality resources of SUSTech,we have established the center for biostatistics, the center for data science and the statistic consulting center.The center for financial statistics will also be in place in the future.By working with SUSTech Global, we provide high-quality and multi-type International Education Training and Development Plans for undergraduates and postgraduates, as well as the opportunities to study in overseas universities.We are committed to enhancing student’s social vision and well-rounded thinking.
南方科技大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系成立于2019年4月，以建設(shè)國際一流的教育培養(yǎng)和研究基地為目的。本系志在為國家培養(yǎng)出具有扎實(shí)的科學(xué)基礎(chǔ)，思想活躍，創(chuàng)新意識(shí)和能力強(qiáng)，有國際視野，腳踏實(shí)地，有朝氣、有理想的拔尖人才。本系已經(jīng)建立起本碩博人才培養(yǎng)體系，擁有統(tǒng)計(jì)學(xué)和數(shù)據(jù)科學(xué)與大數(shù)據(jù)技術(shù)兩個(gè)本科專業(yè)，及數(shù)學(xué)學(xué)科下概率論和數(shù)理統(tǒng)計(jì)碩博學(xué)位授予權(quán)，主要研究領(lǐng)域包括數(shù)理統(tǒng)計(jì)、生物醫(yī)學(xué)統(tǒng)計(jì)、金融統(tǒng)計(jì)和數(shù)據(jù)科學(xué)。
目前共有22位教研序列教師和4位雙聘教師，其中有講
本系充分利用學(xué)校及學(xué)院的優(yōu)勢，匯聚優(yōu)質(zhì)教學(xué)資源。目前已建立起生物醫(yī)學(xué)統(tǒng)計(jì)中心和統(tǒng)計(jì)咨詢中心，未來將會(huì)建立金融統(tǒng)計(jì)中心、數(shù)據(jù)科學(xué)中心和高性能服務(wù)器房，為學(xué)生提供了良好的學(xué)習(xí)環(huán)境和科研平臺(tái)。同時(shí)，南科大國際合作部和統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系為本科生及研究生提供高水平、多類型的“國際化教育培養(yǎng)拓展計(jì)劃”，包括多個(gè)國內(nèi)外知名大學(xué)的暑期或?qū)W期交換機(jī)會(huì)，旨在加強(qiáng)學(xué)生專業(yè)知識(shí)學(xué)習(xí)的基礎(chǔ)上拓展學(xué)生的社會(huì)視野與社會(huì)閱歷，培育學(xué)生多元化思維模式。
Introduction of the Department of Statistics and Data Science at NUS/
新加坡國立大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系介紹
The Department of Statistics and Applied Probability (DSAP) was established on 1 April 1998 and renamed to the Department of Statistics and Data Science (DSDS) on 1 July 2021 with the goals of advancing statistical and data science and, ultimately, by its application to improve and provide adequate services to our community.The department offers two Bachelor of Science degrees: Statistics, Data Science, and Analytics.In addition, DSDS also offers degrees at both Masters and doctoral levels.
信息來源于網(wǎng)絡(luò)，如有變更請(qǐng)以原發(fā)布者為準(zhǔn)。
來源鏈接：
https://mp.weixin.qq.com/s/ayKrLfwY1j5LdWwi69W-zA
更多最新博士后招收資訊請(qǐng)關(guān)注：
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