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Professors/Associate Professors/Assistant Professors(AI & Health Computing)

Source:       Time:2021-05-12

Job responsibilities:

With the help of one of several of the following AI technologies, carry out research in cutting-edge areas, produce high-level scientific research results, increase the presence of such research in the academia and the industry, and promote the industrial application of such research:

1.Machine learning/deep learning and reinforced learning algorithms, including statistical machine learning models, feature learning, self-supervised learning, graph representation learning and large-scale learning, etc.;

2.Natural language processing, including text classification, naming subject recognition, knowledge graph extraction and inference, automatic Q&A, text generation, machine translation, machine reading comprehension, large-scale pre-training, etc.;

3.Computer vision, including image classification, facial recognition, target detection, image segmentation, image recognition, image/video comprehension, tec.;

4.Machine learning systems, including distributed optimization methods for machine learning, federated learning, efficient computing architecture, etc., in order to find new learning methods and theories suitable for machine learning process in reality;

5.Smart information retrieval, such as ranking learning, neural information retrieval, recommendation systems, user mining and modeling, etc.;

6.Data mining, including data crowdsourcing, social network mining, large image modeling and analysis, streaming data calculation, etc.


Qualifications and requirements:

1.Candidates should hold a doctoral degree (for no more than three years and be under 35 years old, if applying for a post-doc position) in computer sciences, electronic information, applied mathematics, pattern recognition, artificial intelligence and related majors;

2.Candidates should have internationally recognized influence in the academia, and high-level academic achievements; or ample experience in the industry, and outstanding achievements in the application of research results;

3.Candidates should have an ideal in scientific research, show extraordinary abilities in raising questions and solving problems in doing research, have good communication and teamwork abilities, and acknowledge the AIR culture.


Salary and benefits:

1.First-class research environment, internationally competitive salary, and Tsinghua-offered benefits;

An open and committed academic atmosphere, and ample start-up funds;

2.Tsinghua research strengths coupled with top-tier enterprise resources, providing abundant data and scenarios for platform technology innovation;

3.Comprehensive and convenient mechanisms for research results conversion and project incubation.


Contact Us

Please send your resume toairhr@tsinghua.edu.cn.

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