ShanghaiTech University is seeking highly qualified candidates for multiple tenure-track and tenured faculty positions in the School of Information Science and Technology (SIST). As a core founding team member, successful applicants will engage in cutting-edge research across various domains of information science and technology. Candidates should possess exceptional academic credentials or show significant potential in their respective fields, with a strong command of English being essential. Preference will be given to those with overseas academic training or backgrounds. Located in the Zhangjiang High-tech Park of Shanghai, ShanghaiTech University aims to establish itself as a world-class research institution dedicated to cultivating the next generation of scientists, entrepreneurs, and technical leaders. Faculty members are expected to contribute significantly to both graduate and undergraduate education while maintaining a robust research profile.
| At-a-Glance | |
|---|---|
| Location | Shanghai (CN) |
| Salary | Competitive salary |
| Closing Date | 25 Aug 2026 |
| Discipline | Computing , Mathematics |
| Job Type | Faculty Member |
| Duration | Fixed term |
| Hours | Full time |
| Sector | Academia |
| Qualification | PhD |
ShanghaiTech University plays a pivotal role in advancing the fields of Information and Mathematical Sciences through its School of Information Science and Technology (SIST) and the Institute of Mathematical Sciences (IMS). As part of its commitment to fostering cutting-edge research and education, ShanghaiTech is actively recruiting highly qualified candidates for multiple tenure-track and tenured faculty positions. These roles are designed to build a core founding team that will drive innovation and academic excellence within the university.
Candidates are sought in various disciplines, including computer science, electrical engineering, artificial intelligence, and data science, among others. The university emphasizes the importance of research productivity and strong academic credentials, with a preference for individuals who have undergone English-based overseas academic training. This aligns with ShanghaiTech’s mission to establish a world-class research university that not only trains future scientists and entrepreneurs but also contributes significantly to the global academic community.
Located in the Zhangjiang High-tech Park of Shanghai, the university is strategically positioned to leverage the vibrant technological ecosystem of the region. Faculty members are expected to engage actively in both undergraduate and graduate education, ensuring that students receive a comprehensive and rigorous academic experience. The university’s focus on interdisciplinary collaboration enables faculty to explore innovative solutions to complex problems in various fields, including AI applications in healthcare and drug discovery.
Moreover, the Institute of Mathematical Sciences complements the work of SIST by delving into pure and applied mathematics, theoretical computer science, and computational biology. This dual emphasis on information technology and mathematical principles underscores ShanghaiTech’s commitment to creating a holistic educational environment.
In summary, ShanghaiTech University is at the forefront of research and education in Information and Mathematical Sciences, making significant contributions to the academic landscape in Shanghai and beyond. The recruitment of exceptional faculty members is crucial for sustaining this momentum and achieving the university’s ambitious goals.
Responsibilities
- Develop and deliver engaging curriculum in Information and Mathematical Sciences.
- Conduct innovative research and publish findings in reputable journals.
- Mentor and advise students on academic and career paths.
- Collaborate with colleagues on interdisciplinary projects and initiatives.
- Participate in departmental and university service activities.
- Stay updated on advancements in the field and integrate into teaching.
Qualifications
- Ph.D. in Information Science, Mathematics, or related field required.
- Strong research background with publications in reputable journals.
- Experience in teaching undergraduate and graduate courses preferred.
- Demonstrated ability to secure research funding and grants.
- Excellent communication and interpersonal skills essential for collaboration.
- Commitment to diversity, equity, and inclusion in academia.
Benefits
- Foster innovation through interdisciplinary collaboration with diverse fields in information and mathematical sciences.
- Engage in impactful research that addresses real-world challenges and advances knowledge.
- Contribute to student development, shaping the next generation of thinkers and problem solvers.
- Access professional growth opportunities through conferences, workshops, and academic networks.
