Assistant Professor on Tenure Track

Singapore Management University

Singapore

On-site

SGD 110,000 - 170,000

Full time

5 days ago
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Job summary

Singapore Management University, SCIS, invites applications for a tenure-track Assistant Professor position in Computer Science & Engineering. We seek strengths in AI Governance, AI in Cybersecurity, Embodied AI, Quantum Computing, Smart Financial Tech, and Green Computing.

The appointee will establish an active research program, supervise graduate students, teach at undergraduate and graduate levels, and contribute to program development.

Qualifications

  • PhD in Computer Science or a closely related field.
  • Strong research track record and vision for AI governance and ethics.
  • Evidence of high-quality teaching and mentorship.

Responsibilities

  • Establish an active research program in AI governance and related areas.
  • Teach undergraduate and graduate courses and supervise students.
  • Contribute to departmental service and strategic initiatives.

Skills

AI Governance
AI in cybersecurity
Embodied AI
Quantum computing
Smart financial tech
Green computing
Data science

Education

PhD in Computer Science or related field

Tools

Python
TensorFlow
R
C++

Job description

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

We strategically hire to build critical mass and innovative capabilityin our core research areas and integrative research domains. In particular, weare keen to expand our faculty expertise in AI Governance (Privacy, Security,Safety, Ethics), AI in Cybersecurity, Embodied AI, Quantum Computing, SmartFinancial Technology and Green Computing.

OUR CORE RESEARCH AREAS
  • Artificial Intelligence & Data Science
    • Data Management & Mining , includingdatabases; data mining; natural language processing; data visualisation andanalytics; recommender systems; social sensing and activation.
    • Decision Making & Optimization , includinglarge-scale optimization and meta-heuristics; economic paradigms (game theory,mechanism design, electronic markets); agent modeling and simulation; agentplanning, scheduling and decision support; agent learning and adaptation;reinforcement learning and inverse reinforcement learning.
    • Machine Learning & Intelligence , includingmachine learning and adaptation; deep learning; computer vision; machineintelligence; explainable AI; cognitive/brain-inspired computing; human-centricAI; intelligent assistants; intelligence augmentation; human-in-the-loop AI.
  • Human-Machine Collaborative Systems
    • Embodied& Pervasive Systems, including sensing & sensor informationprocessing; IoT and embedded systems; embodied AI and robotics systems; mobileand pervasive systems; context‑aware and edge computing platform.
    • Multimedia Systems , including generative media; socialmedia; multimedia search; computer graphics; augmented reality; virtualreality.
    • Human-Computer Interaction , includingaccessibility; human-AI interaction; human-robot interaction; informationvisualization; collaboration systems; wearable computing.
  • Information Systems & Technology
    • Software Engineering , including AI for SE; SE for AI; softwareanalytics; formal methods; software testing; software maintenance &evolution; human-aspects in SE; engineering IoT, Cyber-Physical Systems &drones; sustainable SE.
    • Cybersecurity , including decentralised/distributedtrusted systems; biometrics; computer forensics; data, media content andrelated applications security and privacy; software and system security;information security and usability; information security economics and riskanalysis, modeling & metrics.
    • Information Systems Management , includingeconomics of IT and management science; empirical methods, econometrics, andpolicy analytics; sharing economy and IT platforms; digitalisation and processtransformation; fintech; marketing and healthcare IT; information security,technology innovation and IT impacts; interdisciplinary studies across the coreareas.
OUR INTEGRATIVE RESEARCH DOMAINS
  • Learning& Work
  • Urban &Sustainability
  • Health& Wellbeing
  • Safety,Security & Fairness

While we encourage and nurture applied researchaddressing real-world problems, we simultaneously cultivate and value bigideas, and research that is intellectually deep and thought provoking. Ourfaculty target their academic output primarily in the most-selective,academically prestigious venues. We want our faculty striving to createresearch outputs that advance thinking and scholarship in the core researchareas, and also seeking real-world impact in the integrative research domainsin "the world of business".

We offer extremely attractive salary andbenefits that are usually superiorto 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 project‑based approach to learning, and for its technologically enabled pedagogy of seminar‑style teaching in small class sizes.

The School of Computing and Information Systems (SCIS) offers an exceptionally supportive and inspirational environment for academic scholarship and research, applied R&D projects, and innovative education initiatives. We currently have around 59 tenure‑track faculty members working across research areas in computer science & engineering, and information systems management. They are complemented by over 36 practice/education faculty members and lecturers who focus on teaching, translation and pedagogical research.

Our Research. We are passionate about our research. We aim for excellence both in fundamental contribution to academic knowledge, as well as in creating technology with practical impact. Real‑world industry

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