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Assistant Professor Tenure Track

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: SINGAPORE MANAGEMENT UNIVERSITY
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Assistant Professor on Tenure Track
Location: Greater London

Tenure Track faculty position in Computer Science

The School of Computing and Information Systems (SCIS) at the Singapore Management University (SMU) has one tenure track faculty position, Assistant Professor, in the discipline of Computer Science & Engineering.

We strategically hire to build critical mass and innovative capability in our core research areas and integrative research domains. In particular, we are keen to expand our faculty expertise in AI Governance (Privacy, Security, Safety), Embodied AI, Human and Social Aspects of Software Engineering, Post-Quantum Cryptographic Techniques and Applications.

OUR CORE RESEARCH AREAS
  • Artificial Intelligence & Data Science
    • Data Management & Mining, including databases; data mining; natural language processing; data visualisation and analytics; recommender systems; social sensing and activation.
    • Decision Making & Optimization, including large-scale optimization and meta-heuristics; economic paradigms (game theory,mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning.
    • Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence; explainable AI; cognitive/brain-inspired computing; human-centric AI; intelligent assistants; intelligence augmentation; human-in-the-loop AI.
  • Human-Machine Collaborative Systems
    • Pervasive Sensing & Systems, including sensing & sensor information processing;
      IoT and embedded systems; robotics systems; mobile and pervasive systems; context-aware and edge computing platform; embedded AI; cognition understanding.
    • Multimedia Systems, including generative media; social media; multimedia search; computer graphics; augmented reality; virtual reality.
    • Human-Computer Interaction, including accessibility; human-AI interaction; human-robot interaction; information visualization; collaboration systems; wearable computing.
  • Information Systems & Technology
    • Software Engineering, including AI for SE; SE for AI; software analytics; formal methods; software testing; software maintenance & evolution; human-aspects in SE; engineering IoT, Cyber-Physical Systems & drones; sustainable SE.
    • Cybersecurity, including decentralised/distributed trusted systems; biometrics; computer forensics; data, media content and related applications security and privacy; software and system security; information security and usability; information security economics and risk analysis, modeling & metrics.
    • Information Systems Management, including economics of IT and management science; empirical methods, econometrics, and policy analytics; sharing economy and IT platforms; digitalisation and process transformation; fintech; marketing and healthcare IT; information security, technology innovation and IT impacts; interdisciplinary studies across the core areas.
OUR INTEGRATIVE RESEARCH DOMAINS
  • Learning & Work
  • Urban & Sustainability
  • Health & Wellbeing
  • Safety, Security & Fairness

While we encourage and nurture applied research addressing real-world problems, we simultaneously cultivate and value big ideas, and research that is intellectually deep and thought provoking. Our faculty target their academic output primarily in the most-selective, academically prestigious venues. We want our faculty striving to create research outputs that advance thinking and scholarship in the core research areas, and also seeking real-world impact in the integrative research domains in “the world of business”.

We offer extremely attractive salary and benefits that are usually superior to international competitive benchmarks.

ABOUT THE SMU SCHOOL OF COMPUTING AND INFORMATION SYSTEMS

A premier university in Asia, the Singapore Management University(SMU) is internationally recognised for its world‑class research and distinguished teaching. Established in 2000, SMU’s mission is to generate leading‑edge research with global impact and produce broad‑based, creative and entrepreneurial leaders for the knowledge‑based economy. SMU education is known for its highly interactive, collaborative and…

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