The project is hiring 1 postdoctoral fellows at SUSTech for Image Processing and Deep Learning).南方科技大學課題組現(xiàn)公開招聘博士后1名(圖像處理和深度學習方向)。
Title/項目名稱
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)分析中的應用）
Abstract/項目簡介
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.
由于在實際應用中的數(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)計學界的極大興趣。其核心在于將不同模態(tài)的數(shù)據(jù)編碼到一個共同的空間中，以建立預測模型或探索各模態(tài)之間的關系。該項目的主要目標是建立模型來描述模態(tài)之間潛在的依賴關系。由于涉及張量結構的復雜性，當至少一種模態(tài)為張量時，這項工作尤其具有挑戰(zhàn)性。我們的思路是引入一種新穎的基于結構方程模型的張量矩陣因式分解模型，以同時提取潛在變量并建立模態(tài)之間的關系。該項目的背景是針對失眠癥患者的研究，通過分析腦電圖數(shù)據(jù)和問卷答復來了解這些截然不同數(shù)據(jù)類型之間的關系。該項目包含了四個具體問題，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。該項目研究范圍涵蓋了統(tǒng)計推斷、實現(xiàn)工具、優(yōu)化算法以及統(tǒng)計和優(yōu)化誤差理論。此外，還將探討該方法在其他可穿戴和移動數(shù)據(jù)分析方面的應用潛力。該項目將包括但不限于以下四個主題：(1)基于結構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，南方科技大學統(tǒng)計與數(shù)據(jù)科學系副研究員，博導，其研究方向主要為圖像處理、科學計算與交叉學科的數(shù)據(jù)科學。在本領域期刊SIAM系列、IEEE匯刊等雜志及學術會議發(fā)表學術論文三十余篇。在2022年CVPR研討會獲得最佳論文，在2021年獲深圳市鵬城孔雀計劃特聘崗位，在2017年獲得中國工業(yè)與應用數(shù)學學會年會最佳論文。主持國自然青年基金、廣東省面上基金以及深圳市穩(wěn)定支持面上項目，以課題負責人或核心成員參與國家重點研發(fā)項目、香港研資局科研基金項目以及深圳重點項目。
Prof.Jian Qing Shi (史建清教授)
個人主頁：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 (夏應存教授)
個人主頁：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
夏應存，新加坡國立大學統(tǒng)計與應用概率系教授， 2000年至2001年在倫敦政治經濟學任助理研究員，2001年至2003 年為劍橋大學助理研究員?，F(xiàn)任Annals of Statistics, Computational Statistics & Data Analysis等期刊的副主編。夏應存的研究興趣包括非參數(shù)回歸分析，計量經濟及金融時間序列分析，高維數(shù)據(jù)分析，環(huán)境與健康的統(tǒng)計分析。在學術期刊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等十幾家學術媒體對其工作做過專題報道。
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、數(shù)學、計算機或其他相關學科的博士學位，境外名?；颉?/span>
2.精通Python/R或其他至少一種計算機語言；
3.有較強的統(tǒng)計/數(shù)學方法和理論基礎知識和實踐能力；有高維復雜數(shù)據(jù)分析、復雜模型或圖像處理研究經驗者優(yōu)先；
4.具有較強英文寫作能力，有論文或項目書等寫作經驗者優(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
1.Undertake research related to the project.
2.Help to prepare research proposals.
3.Help on other research activities.
1.進行與本課題相關的科研工作；
2.協(xié)助課題組申報各類科研課題及承擔相應的科學研究任務；
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，含廣東省生活補貼15萬元（稅前）及深圳市生活補貼6萬元（稅前），并按深圳市有關規(guī)定參加社會保險及住房公積金。博士后福利費參照學校教職工標準發(fā)放。
2.特別優(yōu)秀候選人可以申請校長卓越博士后，年薪可達50萬元以上。（含廣東省及深圳市在站生活補貼）。
3.在站期間，可依托學校申請深圳市公租房，未依托學校使用深圳市公租房的博士后，可享受兩年稅前2800元/月的住房補貼。
4.擁有優(yōu)良的工作環(huán)境和境內外合作交流機會，博士后在站期間享受兩年共計2.5萬學術交流經費資助。
5.課題組協(xié)助符合條件的博士后申請博士后人才項目。如成功申請，最高可享受總計100萬元補貼（與廣東省及深圳市在站博士后生活補貼不同時享受）。
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（聘用）合同的，可以申請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（以深圳市最新申報要求為準）。
7.根據(jù)《深圳市新引進博士人才生活補貼工作實施辦法》規(guī)定，新引進博士人才生活補貼（10萬元）與省市博士后在站生活補貼不同時享受。
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.
有意向者請將個人詳細簡歷(包括成績單和已發(fā)表文章的完整列表)、代表性學術成果等整合為一個PDF文件，郵件發(fā)送至
郵件標題請注明：SUSTech&NUS聯(lián)合研究項目-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/南方科技大學統(tǒng)計與數(shù)據(jù)科學系介紹
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.
南方科技大學統(tǒng)計與數(shù)據(jù)科學系成立于2019年4月，以建設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)出具有扎實的科學基礎，思想活躍，創(chuàng)新意識和能力強，有國際視野，腳踏實地，有朝氣、有理想的拔尖人才。本系已經建立起本碩博人才培養(yǎng)體系，擁有統(tǒng)計學和數(shù)據(jù)科學與大數(shù)據(jù)技術兩個本科專業(yè)，及數(shù)學學科下概率論和數(shù)理統(tǒng)計碩博學位授予權，主要研究領域包括數(shù)理統(tǒng)計、生物醫(yī)學統(tǒng)計、金融統(tǒng)計和數(shù)據(jù)科學。
目前共有22位教研序列教師和4位雙聘教師，其中有講
本系充分利用學校及學院的優(yōu)勢，匯聚優(yōu)質教學資源。目前已建立起生物醫(yī)學統(tǒng)計中心和統(tǒng)計咨詢中心，未來將會建立金融統(tǒng)計中心、數(shù)據(jù)科學中心和高性能服務器房，為學生提供了良好的學習環(huán)境和科研平臺。同時，南科大國際合作部和統(tǒng)計與數(shù)據(jù)科學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)拓展計劃”，包括多個國內外知名大學的暑期或學期交換機會，旨在加強學生專業(yè)知識學習的基礎上拓展學生的社會視野與社會閱歷，培育學生多元化思維模式。
Introduction of the Department of Statistics and Data Science at NUS/
新加坡國立大學統(tǒng)計與數(shù)據(jù)科學系介紹
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，如有變更請以原發(fā)布者為準。
來源鏈接：
https://mp.weixin.qq.com/s/ayKrLfwY1j5LdWwi69W-zA
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