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博士生招募——机器学习及自然语言处理
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Prof. Shaojun Wang主要研究机器学习和自然语言处理，在ICML, NIPS and ACL等顶级会议和期刊发表文章多篇。在研项目有美国国家自然基金、AFOSR基金及Google基金等，现招募博士生2-3人，具体内容如下： Ph.D. Level Graduate Research Assistants in Machine Learning and NLP The Machine Learning and Natural Language Processing lab at the Kno.e.sis Center in the Department of Computer Science and Engineering at Wright State University is recruiting two, or more, highly motivated Ph.D. students to work on four projects that are funded by NSF, AFOSR and Google. 1. Large Scale Distributed Language Modeling 2. Semi-supervised Structured Prediction 3. Direct Loss Minimization for Classification and Ranking Problems 4. Deep Learning for Natural Language Processing The students are expected to have strong a) programming skills (past/current projects can serve as evidence), and b) analytical skills (knowledge in algorithms, optimization and statistics is essential). The research team currently consists of one faculty - Dr. Shaojun Wang (http://knoesis.wright.edu/faculty/swang/) and 5 Ph.D. students and one M.S. student. They work together, have face-to-face in-depth discussions on a topic on a regular basis, and target publishing both technically strong and empirically solid papers at top machine learning and natural language processing conferences such as ICML, NIPS and ACL and journals such as Journal of Machine Learning Research and Computational Linguistics. Students have the opportunity to work as summer interns at IBM, Google, Microsoft, and others in their 3rd year after they enter the Ph.D. program. In the long run, Ph.D. students are expected to do independent research after graduation. Please contact Dr. Shaojun Wang at shaojun.wang@wright.edu for details. Also, please visit http://knoesis.wright.edu to learn more about the Kno.e.sis Center, the Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University. |
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