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研究课题:
1、网页信息抽取
2、本体/实体关系基础上的信息提取、储存、分析
3、机器学习算法
4、基于元数据和用户特征的搜索优化
资格:
1、计算机科学、电子工程、自动化或其他相关专业的硕士/博士研究生
2、在NLP和IR领域有浓厚兴趣
3、有算法和数学背景,有机器学习和人工智能方面经验。例如HMM, SVM, CRF,Neural Network, Bayesian Network等等。
4、了解互联网及网络搜索
5、有JAVA或C/C 编程经验
6、了解经济或财经信息方面知识尤佳
要求:
1、8小时工作制,每周工作4到5个工作日
2、工作期为6个月及以上
3。经过导师的同意,优秀的实习生将有机会转为我司正式员工
Research sub-topics:
.Web information extraction
.Distributed web crawler
.Ontology-based information extraction/storage/analysis
.Machine Learning algorithms
.IR improvement based on meta-data/user profiles
Qualifications:
.Postgraduate/PHD candidates/master degree in Computer Science, Electrical Engineering, Automation and other related fields
.Strong interests in NLP and IR fields
.Solid background on algorithms, and mathematics, experience on machine learning and artificial intelligence, i.e. HMM, SVM, CRF,Neural Network, Bayesian Network, etc.
.basic know how on Internet and Internet search
.Experience on JAVA or C/C programming language
.knowledge of economic and financial information industry a plus.
Requirement:
.Time commitment needs to be 8 hours per day and 4 or 5 days per week
.Internship commitment needs to be 6 months or longer
.Consent of your adviser is necessary
All successful interns are eligible for permanent positions.