Assistant Professor / Associate Professor / Professor in Applied Artificial Intelligence (AI)

Job Description

Assistant Professor / Associate Professor / Professor in Applied Artificial Intelligence (AI)

Posting Start Date: 28/05/2026

Schemes of Service: Faculty

Division: Infocomm Technology

Employment Type: Permanent, Fixed Term

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry‑relevant degree programmes that prepare graduates to be work‑ and future‑ready professionals. SIT’s mission is to maximise the potential of its learners and to innovate with industry through an integrated applied learning and research approach. Our distinctive pedagogy integrates work and study, emphasising authentic, real‑world learning through close collaborations with strategic industry partners. SIT’s centralised campus in the Punggol Digital District, together with strategically deployed “Living Labs,” provides a tightly integrated ecosystem where academia, industry, and community converge.

SIT is expanding its applied AI research capabilities, building a cohort of AI faculty who are keen and experienced working on industry problems across sectors. We are recruiting faculty candidates at all levels of seniority.

Responsibilities

Lead and contribute to applied research projects with industry partners and government agencies in one or more of the following AI application areas:
Advanced Manufacturing & Semiconductors
Urban Systems
AI-Augmented Engineering
AI Safety & Security
Chemical Engineering & Biotechnology
Healthcare
Hospitality & Tourism
Develop and teach applied AI courses within the cluster’s programmes and across relevant interdisciplinary modules.
Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners.
Contribute to SIT’s continuing education offerings.
Serve as AI mentor for existing SIT domain faculty through joint projects and co-supervision mechanisms.
Qualifications

PhD in Computer Science, Engineering, or a relevant domain with demonstrated AI/ML research experience. Equivalent industry experience may also be considered.
Technical expertise and deep knowledge of one or more of the following areas:
Physics-informed neural networks (PINNs) & surrogate modelling
Time-series modelling & anomaly detection
Bayesian methods & uncertainty quantification
LLMs & multi-modal models
Graph neural networks (GNNs)
Reinforcement learning
Edge AI & model optimisation
Trustworthy AI (explainability, auditability, privacy)
Spatiotemporal data engineering
Digital twins & simulation
Experience applying AI to the SIT’s focus areas
Demonstrated leadership and evidence of working on industry/society-defined problems
Experience with industry research collaborations, applied research grants, and/or system deployment
Established thought leadership and/or professional standing e.g. publications in top journals and keynotes
Non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems
Track record of cross-disciplinary collaborations
Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment.
Ability to communicate clearly with domain experts, industry practitioners and the general public
What SIT Offers

An applied research environment to tackle real-world problems together with industry partners
Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment
Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds
SIT values applied research impact and evaluates faculty according to how their research makes a difference to society or industry
Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub

How To Apply

Candidates should submit the following

Curriculum vitae including grants, publications, and non-publication outputs (code, datasets, patents, technical disclosures)
Cover Letter
Research statement (up to 3 pages) addressing your applied AI research programme, how it connects to SIT’s cluster context, and your experience with industry-connected research. Highlight three past research outputs with a brief explanation of each output’s impact.
Teaching statement (up to 1 page) addressing your approach to applied learning