高校人才网—国内访问量、信息量领先的高层次人才需求信息平台。
当前位置:高校人才网>高校招聘>高校教师>

复旦大学超复杂网络科学与智慧系统实验室2019年4月招聘博士后

研究⽅向

超复杂网络模型与大数据分析

超复杂网络动力学及其应用

超复杂网络动力学与机器学习前沿交叉研究

AI+智慧城市关键技术与示范

实验室简介

实验室负责⼈韩定定博士毕业于华东师范大学电子工程系无线电物理专业,现为复旦大学特聘教授,长期与中国科学院院士马余刚团队、何积丰团队合作。先后于200209月至200308月在美国TexasA&MUniversity201802月至201902月美国BostonUniversity进行访问研究。主持和参与多项国家自然科学基金/面上/国际合作项目、科技部重大课题和上海市配套项目、中国科学院战略性先导科技专项、上海市科委项目、上海市教委教改项目等,总计经费超3000万元。出版专著1部;在ScientificReportsNature系列)、PhysicalReview系列、PLoS系列、APS系列、IOP系列、Elsevier系列、国际ACMIEEE会议&EI等国际国内权威期刊发表论文70余篇;学术邀请报告40余次。

应聘者应具备:

具有或即将获得博⼠学位,年龄⼀般不超过35周岁,专业⽅向为数据驱动建模、基础物理、应用数学与统计、信息技术、信号处理、机器学习等。

身体健康,⼯作努⼒、认真、主动,优秀的学业和学术成绩,优秀的独立分析和解决问题的能⼒,具有开拓和冒险精神。

熟练的英⽂听说读写能⼒和编程能⼒。

⼯作职责:

在实验室负责⼈指导下独立开展学术研究。

辅助实验室负责⼈申请课题、管理实验室、协助指导硕⼠、博⼠研究⽣。

提供有竞争力的薪酬,相关福利待遇按照学校政策执行,协助申请各类人才项目,具体细节面议。

应聘者提出书面申请(提供个人简历和代表性成果),电子版发送到ddhan@fudan.edu.cn,初选成功后将被邀请参加实验室组织的面试,邮件标题注明:应聘博士后+本人姓名+高校人才网。

Job Title

post-doctorate - Ultra-complex Network Science and Smart Systems Lab

Research direction

1.    Ultra-complex network model and big data analysis

2.    Ultra-complex network dynamics and its applications

3.    Cross-cutting research on the frontier of ultra-complex network dynamics and machine learning

4.    Key technologies and demonstration of AI+ smart city

Lab Intro

Dr. Han Dingding, the manager of the lab, graduated from the Department of Electronic Engineering of East China Normal University with a major in radio physics. She is currently a Distinguished Professor of Fudan University and has long been working with the team of Ma Yugang, an academician of the Chinese Academy of Sciences.

She conducted a visit study from Texas A&M University from September 2002 to August 2003, and from Boston University from February 2018 to February 2019.

She presided over and participated in a number of National Natural Science fund/Shanghai/international cooperation projects, major projects of the Ministry of Science and Technology and supporting projects in Shanghai, strategic pilot science and technology projects of the Chinese Academy of Sciences, projects of the Shanghai Science and Technology Commission, and educational reform projects of the Shanghai Education Commission, with a total expenditure of more than 30 million yuan.

She has published one monograph, more than 70 papers in international and domestic authoritative journals such as Scientific Reports (Nature Series), Physical Review Series, PLoS Series, APS Series, IOP Series, Elsevier Series, International ACM, IEEE Conference & EI, and has made more than 40 academic invitation reports.

Job description

Applicants should:

·       have or be about to receive a Ph.D., be generally no more than 35 years old, major in data-driven modeling, physics, applied mathematics and statistics, information technology, signal processing, machine learning, etc.

·       be physically fit, work hard, earnestly and actively, have excellent academic and academic performance, be able to analyze and solve problems independently, and have a pioneering and adventurous spirit.

·       be proficient in English listening, speaking, reading, writing and programming.

Responsibilities:

·       Independently conduct academic research under the guidance of the laboratory manager.

·       Assist the laboratory manager to apply for the project, manage the laboratory, assist and guide the postgraduate and doctoral students.

 

The above positions offer competitive salaries, special benefits provided by Fudan University, and help to apply for various talent projects. Details will be discussed in person.

 

The applicant should submit a written application (including resume and representative results), and send the electronic version to ddhan@fudan.edu.cn. After the primary election, the applicant will be invited to participate in the interview organized by the laboratory.

 

更多最新博士后招收资讯请关注高才博士后微信公众号(微信号:bshjob

来源:

http://www.hr.fudan.edu.cn/a0/3e/c15369a172094/page.htm

 

 

查看次数:

更多资讯!欢迎扫描下方二维码关注高校人才网官方微信(微信号:Gaoxiaojob)。

重要风险提示:如招聘单位在招聘过程中向求职者提出收取押金、保证金、体检费、材料费、成本费,或指定医院体检等,求职者有权要求招聘单位出具物价部门批准的收费许可证明材料,若无法提供相关证明,请求职者提高警惕,有可能属于诈骗或违规行为。
推荐信息
热点信息