阿拉巴马大学CS PHD: Data Mining, Machine Learning
498811
Two Ph.D. positions with RA support are available in Dr. Zhe Jiang's lab (Homepage: zhejiangcsuaedu) related to data mining and machine learning.
We particularly welcome applicants with the following qualities:
*Strong interest in data mining or machine learning, self-motivated
*Strong C/C++/Python programming
*Good presentation skills
*NO requirement of GRE for strong applicants
Preferred: Prior experience in machine learning, graphical models, optimization
To help evaluate your background, please send to Dr. Jiang the following items by email (1point3acres.com).
*CV
*Copies of undergraduate and graduate transcripts
*Prior publications if available
The lab mission is to conduct interdisciplinary data science research that not only advances computer science but also has significant real-world applications. We particularly focus on mining spatial and spatiotemporal data, such as GPS trajectories, earth observation imagery, geo-social media, etc. Applications include earth science, transportation, disaster management, public safety, etc. Our works have been published in the top data mining conferences and journals such as ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), IEEE International Conference on Data Mining (ICDM), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Big Data (TBD). Our research is sponsored by both federal agencies (NSF, UCAR, USGS) and industry companies.
The University of Alabama (UA) is the flagship university in the state of Alabama. It has experienced rapid growth in research in recent years. UA is classified as “R1: Doctoral Universities – Very High Research Activity” in the Carnegie Classification of Institutions of Higher Education, based on research funding, research staff and the number of doctoral graduates.
补充内容 (2020-9-14 04:49):
未来几年组里经费充足，近几年来组里累计已经获得了超过1.5Million的项目经费，参与的项目总的经费额度（包括合作者的份额）已经15Million以上。
补充内容 (2020-9-14 04:57):
组里的研究不仅强调基础（模型算法），更强调时空数据挖掘和深度学习的各种跨界应用（智能城市，地球科学，灾害管理），与联邦科研机构合作（NASA, USGS，NOAA）以及工业界。
补充内容 (2020-9-14 05:05):
目前有3-4个PhD Positions，具体请看回复的帖子，欢迎感兴趣的学生联系。实验室正在快速成长中，学生有机会得到老师的细致指导和帮助，能在实践中锻炼深度学习在时空分析领域的各种跨学科应用，做真正落地的研究。
We particularly welcome applicants with the following qualities:
*Strong interest in data mining or machine learning, self-motivated
*Strong C/C++/Python programming
*Good presentation skills
*NO requirement of GRE for strong applicants
Preferred: Prior experience in machine learning, graphical models, optimization
To help evaluate your background, please send to Dr. Jiang the following items by email (1point3acres.com).
*CV
*Copies of undergraduate and graduate transcripts
*Prior publications if available
The lab mission is to conduct interdisciplinary data science research that not only advances computer science but also has significant real-world applications. We particularly focus on mining spatial and spatiotemporal data, such as GPS trajectories, earth observation imagery, geo-social media, etc. Applications include earth science, transportation, disaster management, public safety, etc. Our works have been published in the top data mining conferences and journals such as ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), IEEE International Conference on Data Mining (ICDM), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Big Data (TBD). Our research is sponsored by both federal agencies (NSF, UCAR, USGS) and industry companies.
The University of Alabama (UA) is the flagship university in the state of Alabama. It has experienced rapid growth in research in recent years. UA is classified as “R1: Doctoral Universities – Very High Research Activity” in the Carnegie Classification of Institutions of Higher Education, based on research funding, research staff and the number of doctoral graduates.
补充内容 (2020-9-14 04:49):
未来几年组里经费充足，近几年来组里累计已经获得了超过1.5Million的项目经费，参与的项目总的经费额度（包括合作者的份额）已经15Million以上。
补充内容 (2020-9-14 04:57):
组里的研究不仅强调基础（模型算法），更强调时空数据挖掘和深度学习的各种跨界应用（智能城市，地球科学，灾害管理），与联邦科研机构合作（NASA, USGS，NOAA）以及工业界。
补充内容 (2020-9-14 05:05):
目前有3-4个PhD Positions，具体请看回复的帖子，欢迎感兴趣的学生联系。实验室正在快速成长中，学生有机会得到老师的细致指导和帮助，能在实践中锻炼深度学习在时空分析领域的各种跨学科应用，做真正落地的研究。
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