Assistant Professor on Tenure Track

SINGAPORE MANAGEMENT UNIVERSITY; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading academic institution in Singapore is inviting applications for a tenure track faculty position as an Assistant Professor in Computer Science & Engineering. The position focuses on furthering research in areas such as AI Governance and Human-Computer Interaction. Candidates should have a Ph.D. and a strong academic record, with opportunities for attractive salary and benefits. Interested applicants should submit their curriculum vitae, research statements, and recommendation letters through the official portal.

Benefits

Attractive salary

Competitive benefits

Support for career development

Qualifications

• Ph.D. qualification in a relevant discipline is needed.
• Must have an outstanding research record.
• Candidates can be fresh graduates or postdocs.

Responsibilities

• Engage in research and apply it to real-world problems.
• Publish research in prestigious venues.
• Teach and mentor students in respective disciplines.

Skills

Research in AI Governance

Post-Quantum Cryptographic Techniques

Human-Computer Interaction

Machine Learning

Education

Ph.D. in Computer Science or related fields

Job description

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, theSingapore 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.

TheSchool 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 55 tenure‑track faculty members working across research areas in computer science & engineering, and information systems management. They are complemented by over 35 practice/education faculty members and lecturers who focus on teaching, translation and pedagogical research.

Our Research. We are passionate about ourresearch. We aim for excellence both in fundamental contribution to academic knowledge, as well as in creating technology with practical impact. Real‑world industry sectors provide SCIS with a testbed and laboratory for experimentation, as well as a fertile breeding ground for new ideas. Our faculty and students apply their research results to solve real problems in a variety of industry settings and to create IT applications and systems. At the same time, our faculty actively publish in top‑quality Computer Science and Management Science conferences and journals. On our faculty are several world‑class scholars and rising stars in their respective disciplines.

We are committed to supporting the development of our faculty. Besides start‑up support and career mentoring for junior faculty, their Ph.D. students are funded by the school rather than paid from their research grants. SCIS faculty members are encouraged to collaborate on innovative research projects and also on integrative and interdisciplinary projects. SMU as well as Singapore government agencies, such as the National Research Foundation, provide generous support for high‑quality research proposals.

A noteworthy example of our funded research is the Center for Research on Intelligent Software Engineering which conducts applied and fundamental research in the intersection of software engineering, artificial intelligence and cybersecurity. In the area of Cybersecurity, SCIS has aCentre on Security, Mobile Applications and Cryptography that conducts research into mobile device, cloud, and platform security.

Our Education. SCIS has more than 100 students enrolled in thePh.D. in Information Systemsand Ph.D. in Computer Science programmes. Ph.D. students can specialise in any of our computer science research areas, or in the Information Systems & Management research area.

Our Doctor of Engineering (EngD) programme, a Professional Doctoral Degree, aims to train students to become IT leaders with deep technical expertise for innovating, designing and managing complex IT systems.

SCIS also offersMaster of IT in Business, a professionally oriented coursework programme, which has more than 400 active students. The programme supports a Financial Technology & Analytics track focusing on FinTech and the integration of Technology & Operations in Banking, an Analytics track focusing on applied analytics for business, consumer and social insights, an an Artificial Intelligence (AI) track that emphasises building AI‑enabled business applications, as well as a Digital Transformation track that equips students to strategise and execute digital transformation in complex organisations.

Additionally, we have approximately 1,800 undergraduate students in ourB.Sc. (Computer Science),B.Sc. (Information Systems),B.Sc. (Computing & Law) and B.Sc. (Software Engineering) programmes. The programmes have been remarkably successful in demonstrating educational innovations and creating a culture of learning, establishing external linkages and partnerships with industry, government and the social sector, and in job placement outcomes. We have an entrepreneurial student body, and many SCIS undergraduates have gone onto create or participate in start‑ups.

QUALIFICATIONS

• Fresh Ph.D. graduates
• Postdocs looking for a faculty position
• Ph.D. holders who are currently in industry but want to return to faculty and research work
• Mid‑career or senior faculty

Tenure track faculty must have Ph.D. qualification in a relevant discipline (such as Computer Science, Computer Engineering and Information Technology) along with an outstanding research record.

Singaporeans selected for tenure track faculty positions may be considered for the Singapore Teaching and Academic Research Talent (START) Inauguration Grant. Details on the grant application procedure may be found here:https://www.smu.edu.sg/moe-start/inauguration-grant.

Interested candidates are invited to submit a cover letter (indicating which of the above Core Research Areas your research interest belongs to), curriculum vitae, research and teaching statements, three recommendation letters, and three samples of published work to: SMU career portal (#250000AV).

SCIS Faculty Recruitment

Singapore Management University
School of Computing and Information Systems (SCIS)
80 Stamford Road
Singapore 178902
Republic of Singapore
E-mail:[e-mail]
Website:scis.smu.edu.sg