[2023 PhD. 招生]University of Oklahoma 招收全奖计算机博士生

The University of Oklahoma  潘老师(Pan, Chongle)课题组招收全奖计算机博士生！

研究方向：
主要研究方向有machine learning 和parallel computing。
应用领域包括 computer vision for biomedical imaging, natural language processing for biomedical chatbot, 和 explainable machine learning for predictive genomics。

希望有计算机硕士的同学来读 Computer Science Ph.D. 。2023 Spring/Fall.
不需要GRE， 但需要TOEFL或IELTS. 欢迎Email联系发送简历！
邮箱: cpan@ou.edu
导师主页: https://www.ou.edu/coe/cs/people/pan
Lab website: https://www.thepanlab.com/


The University of Oklahoma
The University of Oklahoma at Norman (OU) is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement. US News & World Report ranks OU in the top 50 (No. 41) in the "Top Public Schools – National Universities" category. Norman is a culturally rich and vibrant town located in the Oklahoma City metro area.

The School of Computer Science at the University of Oklahoma is a dynamic academic unit housed within the College of Engineering. The Computer Science Faculty are known for their research accomplishments, extensive scholarly publications, and externally funded research expenditures.  The School of Computer Science provides strong comprehensive graduate programs, including a Ph.D. degree program in Computer Science. The OU Computer Science Ph.D. graduates are highly sought after in both the private and public sectors.

Position Description
Dr. Chongle Pan invites applications for multiple Ph.D. student positions in the OU School of Computer Science. Dr. Pan is an Associate Professor with joint appointments between the School of Computer Science and the Department of Microbiology and Plant Biology. The prospective students will be mentored by Dr. Pan to conduct cutting-edge research in computational biology and bioinformatics. Specific research areas of interest include machine learning, high-performance computing, knowledge graph representation and reasoning, network science, and graph theory. The domain applications include data analytics for (meta)genomics, (meta)transcriptomics, (meta)proteomics and metabolomics. Financial aid will be provided through Research Assistantship or Teaching Assistantship.  

Admission Requirements
A B.S. degree in computer science, bioinformatics, or a related discipline is required. A Master degree in these disciplines is preferred.
Qualified candidates should have strong programming experience using C++, Python, and R for development of computer algorithms and large-scale data analytics.
Prior research and development experience in computer science or bioinformatics is required. Proven publication track record is preferred.
Satisfactory GPA, TOFLE score, and GRE score are required.
Fluent communication skill in English is required.
Basic knowledge and research interest in biology is required.