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- Tasks: Join us as an Assistant Professor and lead innovative research in Computer Science & Engineering.
- Company: Singapore Management University, a premier institution known for world-class research and teaching.
- Benefits: Attractive salary, generous benefits, and support for career development.
- Why this job: Make a real impact in AI, cybersecurity, and human-computer interaction while shaping future leaders.
- Qualifications: Ph.D. in relevant fields with a strong research record; fresh graduates and industry returnees welcome.
- Other info: Collaborative environment with opportunities for interdisciplinary projects and real-world applications.
The predicted salary is between 60000 - 84000 ÂŁ per year.
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 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 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 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 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 a Centre 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 the Ph.D. in Information Systems and 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 offers Master 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 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 our B.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.
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.
SCIS Faculty Recruitment
Singapore Management University
School of Computing and Information Systems (SCIS)
80 Stamford Road
Singapore
Republic of Singapore
E-mail: scis.smu.edu.sg
Assistant Professor on Tenure Track employer: SINGAPORE MANAGEMENT UNIVERSITY
Contact Detail:
SINGAPORE MANAGEMENT UNIVERSITY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Professor on Tenure Track
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meet-ups in your field. It's all about making connections that could lead to job opportunities. Plus, you never know who might be looking for someone with your skills!
✨Tip Number 2
Show off your expertise! Create a personal website or blog where you can share your research, projects, and thoughts on current trends in computer science. This not only showcases your knowledge but also makes you more memorable to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to your research areas. Be ready to discuss how your work aligns with the core research areas at SMU, especially in AI Governance and Human-Computer Interaction.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at SMU. Don’t miss out on this opportunity!
We think you need these skills to ace Assistant Professor on Tenure Track
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure your cover letter speaks directly to the core research areas mentioned in the job description. Highlight how your expertise aligns with AI Governance, Human-Computer Interaction, or any other relevant field. This shows us that you’re not just sending a generic application!
Showcase Your Research Impact: When writing your research statement, focus on the real-world impact of your work. We love big ideas, but we also want to see how your research can address practical problems. Make it clear how your contributions can advance both academic knowledge and industry applications.
Highlight Collaborative Experience: In your teaching statement, emphasise any collaborative projects or interdisciplinary work you've been involved in. We value teamwork and innovative approaches, so let us know how you’ve worked with others to enhance learning and research outcomes.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your materials and ensures you’re considered for the position. Plus, it keeps everything organised on our end, making the process smoother for everyone.
How to prepare for a job interview at SINGAPORE MANAGEMENT UNIVERSITY
✨Know Your Research Areas
Before the interview, dive deep into the core research areas mentioned in the job description. Be prepared to discuss how your expertise aligns with AI Governance, Machine Learning, or any other specific area. This shows that you’re not just interested in the position but are genuinely invested in contributing to their research goals.
✨Prepare Your Teaching Philosophy
Since this is a faculty position, be ready to articulate your teaching philosophy. Think about how you can engage students in a collaborative and interactive learning environment, as highlighted by the university's approach. Share examples of how you've successfully implemented innovative teaching methods in the past.
✨Showcase Real-World Impact
The university values research that addresses real-world problems. Prepare to discuss how your previous work has had practical applications or how you envision your future research impacting industry sectors. This will resonate well with their mission of creating technology with practical impact.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about potential collaborations within the faculty or how they support interdisciplinary projects. This demonstrates your enthusiasm for being part of their academic community and your commitment to contributing to their innovative research initiatives.
