课题组简介：

杨丽丽，南方科技大学统计与数据科学系教授。杨丽丽教授及其课题组长期从事公共安全应急管理、公共事件风险识别与评估的理论和方法的研究以及大数据应急平台的设计研究。课题组由海归的教授、研究助理教授、以及多名博士研究生和硕士研究生组成，目前团队共二十余人，工作地点深圳市南山区，紧靠深圳北站。课题组短短几年已经得到了大量的经费资助，目前正在承担国自然、科技部重点专项、深圳市项目等多项科研项目，研究经费充足，学术氛围浓郁。现面向国内外公开招聘研究副教授/助理教授1-2名，共同致力于大数据分析、数学建模、决策系统等研究应用领域。

岗位要求：

1.在计算机、数学或公共安全等相关专业领域获得博士学位；

2.具有海外或国内研究型大学、研究机构博士后工作经历或更高层次科研工作；

3.近5年在相关领域主流会议或期刊以第一作者身份发表论文2篇以上，论文能体现自己的特长与能力；

4.能够独立开展课题组相关研究方向的科研工作；

岗位职责：

1.主要负责课题组的全面管理，致力于大数据分析、数学建模、决策系统等研究应用领域。

2.负责并参与课题组其他相关项目的工作研究；

3.发表具有国际竞争力的高水平学术论文；

4.独立申请研究经费，支持课题组长期研究；

5.协助或组织课题组申报各类科研课题及承担相应的科学研究任务；

6.指导（或协助指导）博士、硕士研究生等。

岗位待遇：

1.提供有竞争力的薪酬待遇，合同期三年，研究副教授年薪35-45万元，研究助理教授年薪25-35万元，年终奖1个月月薪，绩效奖1-3个月月薪。享受南科大正式教职工待遇，包括餐补、高温补贴，过节费，五险一金等。聘期3年，根据聘期表现可续聘。

2.课题组提供良好的科研条件，全力支持研究副教授、研究助理教授作为负责人申请国家、省、市各级课题。

3.符合条件者，可申请深圳市高层次人才、孔雀人才计划等160-200万住房补贴政策（分档）。可以申请深圳户口，解决子女入托、入学问题。

应聘方式：

请将以下材料发送至邮箱：yangll@sustech.edu.cn，以“研究副教授/助理教授应聘-本人姓名”为标题：

1.个人简历（包含完整的信息以及学术论文列表）；

2.代表性论文全文2篇或更多；

3.其他科研成果说明（如专著、专利）。

Positions of Research Associate/Assistant Professor

About the team:

Dr. Lili Yang is a professor in Department of Statistics and Data Science at Southern University of Science and Technology. Her research team has a strong track record in the research areas of big data analysis, mathematics modeling, public safety management, theory and methodology of risk detection and assessment in public events, big data enabled emergency platform. The research team consists of more than 20 members including professors, PhD students, master students and research assistants, some of whom have oversea study or work experience. The office is located in Nanshan district, Shenzhen which is close to the Shenzhen North station. The team is currently undertaking a number of national funded projects and has sufficient finance supports. Applications are invited for 1-2 posts of Research associate/assistant professors. 

Essential requirements:

1.A PhD or equivalent in computer science, mathematics or public safety management or a closely related discipline.

2.Have postdoctoral (or above) research experience in a research-oriented university or research institute.

3.More than 2 publications in top conferences or journals in related research areas within the last 5 years.

4.Capabilities of carrying out independent research in related areas.

Duties and responsibilities:

1.Co-managing the research team, undertaking research in areas including big data analysis, mathematics modelling, emergency management and decision making, risk detection and assessment, and big data enabled system design and development.

2.Participating in other relevant projects which may have.

3.Publishing papers in top conferences and journals.

4.Able to independently applying for research grants and supporting the long-term research plan of the research team.

5.Assisting/organizing grant applications of the research team and fulfilling relevant research tasks.

6.Supervising or assisting in supervising PhD students, master students etc.

Job benefits:

1.A fix term contract for three years with the possibility of extension and a competitive salary (350,000-450,000 CNY per annum for Research Associate Professor and 250,000-350,000 CNY per annum for Research Assistant Professor). In addition, there are an annual bonus equivalent to 1 month base salary and a performance bonus equivalent to 1-3 month base salary. The successful candidates will receive the same benefits as the faculty staff, including subsidy for meals, hot weather, festivals and other benefit required by the law.

2.Well established research facilities and full support for grant applications.

3.Qualified candidates will be assisted to apply for the Shenzhen talent programs such as the Peacock Plan with a reward from 1,600,000 to 2,000,000. Assistance will also be provided for the application of the Shenzhen hukou, school admission for children. 

To apply:

Please send the following information to yangll@sustech.edu.cn with the email subject “Research associate/assistant professor - your_name”.

1.Resume (with a complete information and a list of your publications).

2.The full manuscript of 2 or more representative publications.

3.Other research outputs such as books, patents, etc.

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