Assistant/Associate Professor (Tenure-track)/ Postdoctoral Fellow

Employer
Shanghai Jiao Tong University
Location
Shanghai (CN)
Salary
Salary Negotiable
Posted
April 22 2019
Organization Type
Academia
Job Type
Faculty

Assistant professor/Associate professor (tenure-track) positions, postdoctoral fellow in Industrial and Systems Engineering, Management Science and Engineering.

The Opportunity:
The Sino-US Global Logistics Institute (SUGLI) in Shanghai Jiao Tong University invites applications from outstanding candidates for tenure-track assistant professor/ associate professor, or postdoctoral fellow in the following areas:

  • Modern logistics and supply chain;
  • Operational management in intelligent manufacturing;
  • Operational management in healthcare system or medical decision making;
  • Big Data and data analytics in manufacturing and service;

We offer:

  • Highly international and interdisciplinary research environment;
  • Competitive start-up package and salary;
  • Salary and academic rank will be commensurate with qualification and experience.

Responsibilities:
It is expected that the successful candidates will, in collaboration with current faculty, play an important role in high level theoretical research and solving the major applied problems in domains of engineering system management and logistics and supply chain management. Candidates are expected to teach graduate courses, engage in research, and participate in the academic/social activities of the University.
 

Qualifications:
Required: 
Applicants must have Ph. D in industrial and system engineering, management science and engineering, or a related field by the time of hire/offer, show a record of accomplishments that demonstrates the potential to become an outstanding scholar and educator, possess a record of accomplishments demonstrating outstanding scholarly and educational activities, and excellent communication skills. Assistant/associate level candidates must demonstrate remarkable scientific contributions and strong research capability, evidenced by excellent publication record on top or high quality peer-reviewed international journals.

Preferred:
For the positions of Assistant/Associate Professor, it is preferred for the applicants to have previous teaching and/or post-doctoral experience in world-class University. Understanding of the Chinese language and culture is highly valued.
 

Timeline:
The positions remain open until filled.
 

How to apply:
Applications should include a cover letter describing relevant experience and interest in the position; curriculum vitae; statements of research interests and teaching philosophy; and the names of three references with titles, addresses, business telephone numbers, and e-mail addresses. References will not be contacted without consent from applicants.
Apply by contacting at zhangtian@sjtu.edu.cn
 

About SJTU: 
Shanghai Jiao Tong University (SJTU), established in 1896, is a leading institution of higher learning in China offering comprehensive educational and post-graduate research programs. Presently, it has a student body of 47,000 with 3000 full time teaching faculty members in 54 schools and institutes and 12 directly affiliated departments (For more information, please visit  http://www.sjtu.edu.cn ). 

About SUGLI:
The Sino-US Global Logistics Institute (SUGLI) of SJTU was established in October 2005. It is an university level multidisciplinary cross research and education platform to satisfy major needs of nation and industry, solve major management and engineering problems, and make its own great impacts on industries. SUGLI always aims at studying innovative theoretical research topics, building new platforms and promoting high-level applications in the field of logistics and supply chain management. In the new era, SUGLI is to be expanded into a broader field of engineering systems management, including smart logistics and supply chain management, intelligent manufacturing management and manufacturing servitization (including intelligent manufacturing logistics), intelligent service management & engineering, health care system optimization, big data analysis of engineering system and intelligent decision-making.

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