Assistant Professor in Artificial Intelligence (AI) in Translation Full-time

Assistant Professor Position In Artificial Intelligence (AI) In The Translation

The Masters in Translation and Interpretation (MTI) programme within the School of Humanities at NTU Singapore invites applications for a full-time Assistant Professor position in Artificial Intelligence (AI) in the Translation, beginning on August 2026 (or as soon as possible thereafter). The postholder will help particularly help growth of research and teaching in AI translation within the Translation and Interpretation programme, and participate in NTU Singapore's Digital Humanities, Arts and Social Science initiatives.

Young, research intensive, and outward-looking Nanyang Technological University, Singapore (NTU Singapore) is the world's top-ranked young university. The School of Humanities (SoH) at NTU Singapore combines the highest quality research and teaching with practical engagement with the world. The School is committed to disciplinary excellence and interdisciplinary innovation, with a particular focus on Digital, Health and Environmental Humanities, and the study of Global Asia.

It is part of NTU Singapore's College of Humanities, Arts and Social Sciences (CoHASS). The College's students and scholars seek to create new knowledge by combining perspectives from fields which range from design to economics with research from other disciplines, to understand how people in Asia and beyond act in and make sense of the world. We are Asia's leading centre for innovative, interdisciplinary Humanities, Arts and Social Science research teaching.

Key Responsibilities

• Conduct high-quality research, with the goal of creating new knowledge with a clear academic and social impact, in fields such as AI-enhanced translation workflows, Neural machine translation, large language models, or multilingual NLP, Multimodal and multilingual AI, Translation quality evaluation using AI
• Teach undergraduate and postgraduate courses in Computational Thinking, Machine Learning and Natural Language Processing (NLP) for translators, LLM and Translation Memory
• Actively seek to collaborate with colleagues in related fields, in the College of Humanities, Arts and Social Sciences and elsewhere at NTU Singapore, particular in NTU Singapore's emerging Digital Humanities, Arts and Social Science initiatives.
• Supervise Undergraduate and postgraduate students theses in AI-related areas of translation.
• Apply for external and internal research funding.
• Contribute to curriculum development in translation and AI.
• Participate in departmental, college, and university service and outreach activities

Minimum Qualifications

• PhD holder in Computer Science / Computational Linguistics / Natural Language Processing with a strong focus on translation or multilingual language technologies.
• Evidence of research potential or established research record (peer-reviewed publications, conference presentations, etc.).
• Demonstrated ability or strong potential to teach relevant courses at university level.
• Excellent command of English with any Asian languages; additional working languages are an asset.
• Able to work independently and to collaborate with cross-disciplinary research clusters
• Relevant publication track record

Desirable Qualifications

• Experience integrating AI tools in translator training (e.g. MT post-editing, terminology extraction, quality assurance).
• Experience with industry-standard translation technology (e.g. CAT tools, TMS platforms).
• Evidence of successful grant applications or participation in funded projects.
• Ability to collaborate in interdisciplinary teams and with industry partners.

Application Requirements

Applicants should submit the following as a single PDF file:

• Cover letter explaining fit for the position and research/teaching interests
• Curriculum Vitae (including list of publications)
• Teaching statement (max. 2 pages)
• Research statement (max. 2 pages)
• Up to three recent publications or writing samples
• Names and contact details of [2–3] referees

Closing date of this application is 28 February 2026.

Hiring Institution: NTU