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TENURE-TRACK AND TENURED POSITIONS
ShanghaiTech University invites highly qualified
candidates to fill multiple tenure-track/tenured
faculty positions as its core founding team in the School of Information Science and
Technology (SIST). We seek candidates with exceptional academic records or demonstrated
strong potentials in all cutting-edge research areas of information science and technology.
They must be fluent in English. English-based overseas academic training or background
is highly desired.
Shanghai Tech 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, Shanghai Tech 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.
Academic Disciplines: Candidates in all areas of information science and technology
shall be considered. Our recruitment focus includes, but is not limited to: computer
architecture, software engineering, database, computer security, VLSI, solid state and
nano electronics, RF electronics, information and signal processing, networking, security,
computational foundations, big data analytics, data mining, visualization, computer vision,
bio-inspired computing systems, power electronics, power systems, machine and motor
drive, power management IC as well as inter-disciplinary areas involving information
science and technology.
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 Shanghai Tech faculty members will join its new tenure-track
system in accordance with international practice for progress evaluation and promotion.
• Strong research productivity and demonstrated potentials;
• Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Artificial
Intelligence, Financial Engineering, Signal Processing, Operation Research, Applied
Math, Statistics or related field);
• A minimum relevant (including PhD) research experience of 4 years.
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:
firstname.lastname@example.org. For more information, visit http://sist.shanghaitech.edu.
Deadline: The positions will be open until they are filled by appropriate candidates.
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