The Visual & Data Intelligence Center (VDI) in the School of Information
Science and Technology of ShanghaiTech University invites highly qualified
candidates to fill multiple tenure-track/tenured faculty positions. We seek
candidates with exceptional academic records or demonstrated strong
potentials in *all research areas of artificial intelligence and data
science*. We are especially interested in candidates from the following
areas:

·         Knowledge engineering, knowledge representation and reasoning

·         Natural language processing

·         Bayesian statistics and inverse problems

·         Quantum AI



ShanghaiTech is founded as a world-class research university for training
future generations of scientists, entrepreneurs, and technical leaders.
Boasting a new modern campus in Zhangjiang Hightech Park of cosmopolitan
Shanghai, ShanghaiTech shall trail-blaze a new education system in China.
Besides establishing and maintaining a world-class research profile,
faculty candidates are also expected to contribute substantially to both
graduate and undergraduate educations.



*Compensation and Benefits:*

Salary and startup funds are highly competitive, commensurate with
experience and academic accomplishment. We also offer a comprehensive
benefit package to employees and eligible dependents, including on-campus
housing. All regular ShanghaiTech faculty members will join its
tenure-track system in accordance with international practice for progress
evaluation and promotion.



*Qualifications: *

·         Strong research productivity and demonstrated potentials;

·         Ph.D. (Computer Science, Computer Engineering, Electrical
Engineering, Statistics, Applied Math, or related field);

·         A minimum relevant (including PhD) research experience of 4 years;

·         Fluent in English. English-based academic training or background
is highly desired.



*Applications:*

Submit (in English, PDF version) a cover letter, a 2-page research plan, a
CV plus copies of 3 most significant publications, and names of three
referees to:

https://www.wenjuan.com/s/MFzQjeO/

If you have difficulty accessing the webpage, you may also submit your
application to sist [at] shanghaitech.edu.cn

For more information, please visit http://sist.shanghaitech.edu.cn/ or
contact sist [at] shanghaitech.edu.cn
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