Assistant/Associate/Professor in International Relations and International Political Economy with AI/Data Focus
Open-rank faculty position at XJTLU to integrate computational methods and AI into international studies research and teaching.
Best for:Best for established researchers with expertise in computational methods, AI, and International Political Economy who seek to teach and mentor students in interdisciplinary, tech-integrated social science programs.
Overview
Xi’an Jiaotong-Liverpool University (XJTLU) invites applications for an open-rank faculty position in the Department of International Studies. This role focuses on advancing research and education at the intersection of International Relations, International Political Economy, and emerging technologies like AI, big data, and computational methods. The successful candidate will contribute to teaching, curriculum development, and interdisciplinary collaboration, bridging technical and social science disciplines. The position emphasizes innovative pedagogy, real-world applications, and research that leverages computational tools to analyze geopolitical, economic, and governance challenges. Located in Suzhou, China, the role offers a competitive salary, comprehensive benefits, and opportunities for career development in a dynamic international academic environment.
What you'll do
- Develop and teach modules on AI, big data, and emerging technologies within International Relations and International Political Economy, integrating computational methods into curriculum design.
- Conduct high-quality research at the intersection of AI, data-driven methods, and international studies, publishing findings in top-tier journals.
- Supervise undergraduate, postgraduate, and doctoral students in areas such as International Relations, International Political Economy, and computational social science.
- Collaborate with industry, policy, and academic partners to develop real-world applications of AI and data analytics in international affairs.
- Lead curriculum innovation, particularly in teaching computational and data-analytical tools to students with diverse disciplinary backgrounds.
- Engage in academic leadership, administration, and service within the Department and University, including contributing to departmental and university-wide initiatives.
- Foster interdisciplinary collaboration between humanities, social sciences, and technical fields to advance research and teaching.
- Develop educational initiatives that bridge emerging technologies with traditional international studies methodologies.
Requirements
Degree required: PhD in Political Science, International Relations, International Political Economy, Global Public Policy, or a closely related field with a focus on computational or quantitative approaches.
Language: Excellent communication skills in English; fluency in Chinese is advantageous.
Instruction: English
Publications: High-quality research publications at the intersection of AI/data and international studies, commensurate with academic rank.
- Expertise in applying computational methods (e.g., machine learning, natural language processing, geospatial analysis) to social science research questions.
- Proficiency in programming languages such as Python, R, or STATA, and computational tools like GIS.
- Strong understanding of the social, cultural, political, and ethical dimensions of AI and data.
- Experience teaching quantitative or computational methods to students without advanced technical backgrounds.
- Evidence of high-quality research publications at the intersection of AI/data and international studies.
- Ability to work across disciplinary boundaries and collaborate with diverse academic and technical teams.
- No explicit nationality or residency restrictions mentioned.
- Open to candidates with diverse academic and professional backgrounds.
Funding & terms
How to apply
Deadline: 2026-11-30
Applicants must submit a single PDF file containing a cover letter explaining how they meet the criteria, a current CV (including date of birth, citizenship, and highest degree), and contact details for three references. Applications are to be submitted via the university’s career portal.
- Cover letter
- Current CV (including date of birth, country of citizenship, and highest degree level)
- Contact details for three references
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.