Senior Professional Officer (& Above) in Artificial Intelligence (AI) Professional Officer in A[...]

Singapore Institute of Technology; Singapore; On-site; SGD 85,000 - 120,000; Full time

Benefits offered by this job

Access to Living Lab Network

Competitive personal tax

Collaborative research environment

Job summary

The Singapore Institute of Technology (SIT) is seeking a Senior Professional Officer in Artificial Intelligence (AI) to design and teach laboratory sessions in AI while leading innovative applied research projects. This role requires significant industry experience and expertise in various AI areas like Machine Learning, Computer Vision, and programming.

Ideal candidates will possess a strong passion for mentoring students and a commitment to continuous learning. SIT offers a collaborative research environment and excellent quality of life in Singapore.

Qualifications

• 8+ years of relevant industry experience in a technical role.
• Strong technical expertise in AI, ML, and related areas.
• Experience applying AI in the SIT's focus areas.

Responsibilities

• Design and teach laboratory sessions in Applied AI.
• Lead applied research and industry collaboration projects.
• Secure research grants for applied research initiatives.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Computer Vision and Image Processing

Programming in Python

Data modelling

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Caffe

Job description

Senior Professional Officer (& Above) in Artificial Intelligence (AI)

Posting Start Date: 29/05/2026

Schemes of Service: Professional Officers

Division: Professional Officers

Employment Type: Fixed Term

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.

Focus Areas for Applied AI

• Advanced Manufacturing & Semiconductors
• Urban Systems
• AI‑Augmented Engineering
• AI Safety & Security
• Chemical Engineering & Biotechnology
• Hospitality and Tourism
• Healthcare

Responsibilities

• Design, develop, and teach laboratory sessions and practice‑based modules in Applied AI and related areas.
• Lead or co‑lead innovative applied research and industry collaboration projects with industry partners and government agencies.
• Secure and manage research grants to support applied research initiatives.
• Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP).
• Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities.
• Ensure compliance with laboratory safety policies, procedures, and best practices.
• Contribute to the development of applied AI capabilities, learning resources, and industry‑relevant curriculum support.
• Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes.

Qualifications

• A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered.
• At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes.
• Strong technical expertise in one or more of the following areas:
  • Computer Vision and Image Processing
  • Machine Learning, Deep Learning, and Reinforcement Learning
  • Large Language Models (LLMs) and Multimodal Models
  • Generative AI, Agentic AI, Physical AI, and Embodied AI
  • Trustworthy AI, including explainability, auditability, and privacy
  • Edge AI and model optimisation
  • Physics‑informed neural networks (PINNs) and surrogate modelling
  • Time‑series modelling and anomaly detection
  • Bayesian methods and uncertainty quantification
  • Graph Neural Networks (GNNs)
  • Spatiotemporal data engineering
  • Digital twins and simulation
• Demonstrated experience applying AI to the SIT’s focus areas.
• Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit‑learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps.
• Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++.
• Good grounding in mathematics, including probability, statistics, and algorithms.
• Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems.
• Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment.
• Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage.
• For senior appointments, demonstrated managerial or team leadership experience may be required.

Key Competencies

• Passion for teaching, coaching, and mentoring students and junior practitioners.
• Strong analytical and hands‑on problem‑solving skills.
• Ability to build and maintain effective working relationships with internal and external stakeholders.
• Adaptability and willingness to work across functions and teams in a dynamic environment.
• Self‑motivated and committed to continuous learning and professional growth.
• Strong technical writing, communication, and presentation skills.
• Good analytical, critical thinking, and problem‑solving abilities.
• Proactive, resourceful, and able to take ownership of assigned responsibilities.

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.
• Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub.