Tenure-Track and Tenured Positions
Schoolof Information Science and Technology (SIST)
ShanghaiTech University invites highly qualified candidates to fillmultiple tenure-track/tenured faculty positions as its core founding team inthe School of Information Science and Technology (SIST). We seek candidateswith exceptional academic records or demonstrated strong potentials in allcutting-edge research areas of information science and technology. They must befluent in English. English-based overseas academic training or background ishighly desired.
ShanghaiTech is founded as a world-class research university for trainingfuture generations of scientists, entrepreneurs, and technical leaders.Boasting a new modern campus in Zhangjiang Hightech Park of cosmopolitanShanghai, ShanghaiTech shall trail-blaze a new education system in China.Besides establishing and maintaining a world-class research profile, facultycandidates are also expected to contribute substantially to both graduate andundergraduate educations.
Candidates in allareas of information science and technology shall be considered. Ourrecruitment focus includes, but is not limited to: computer science and technology, electronic science and technology, information and communication engineering, applied mathematics and statistics, data science, robotics, bioinformatics, biomedical engineering, internet of things, electrical engineering, intelligent power and energy systems, computer systems and security, operation research, mathematical optimization and other interdisciplinary fields involving information science and technology, especially areas related to AI.
Compensation and Benefits:
Salary and startup funds are highly competitive, commensurate withexperience and academic accomplishment. We also offer a comprehensive benefitpackage to employees and eligible dependents, including on-campus housing. Allregular ShanghaiTech faculty members will join its new tenure-track system inaccordance with international practice for progress evaluation and promotion.
- Strong research productivity and demonstrated potentials;
- Ph.D. (Electrical Engineering, Computer Engineering, Computer Science,Statistics, Applied Math, or related field);
- A minimum relevant (including PhD) research experience of 4 years.
Submit (in English, PDFversion) a cover letter, a 2-page research plan, a CV plus copies of 3 mostsignificant publications, and names of three referees to:
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Deadline: September 30, 2020