Research Engineer/Fellow ( Applied Artificial Intelligence (AI)) - RK

Singapore Institute of Technology; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

The Singapore Institute of Technology (SIT) seeks a Research Engineer/Research Fellow in Applied AI to advance industry-focused AI research across multiple domains including manufacturing, urban systems and healthcare. The role emphasizes collaboration with researchers, industry partners and internal teams to deliver impactful AI solutions.

Ideal candidates hold a CS/engineering degree with strong AI/ML expertise, hands-on experience with ML frameworks, and a track record of translating research

Qualifications

• Bachelor's or Master's in CS/engineering with AI/ML research background.
• Experience applying AI to real-world problems in industry or academia.
• Strong foundation in probability, statistics and algorithms.

Responsibilities

• Collaborate with the centre head, PI and stakeholders to support or drive applied research and innovation outcomes.
• Help translate industry requirements into proposals and project plans.
• Work with the team to develop AI solutions and generate IP from internal grants.

Skills

Machine Learning

Deep Learning

Python

Computer Vision

NLP

PyTorch

TensorFlow

Statistics

Research experience

Education

Bachelor's degree in Computer Science or related

Master's degree in Computer Science or related

Tools

Caffe

Spark ML

Keras

PyTorch

TensorFlow

Scikit-Learn

CNTK

Hadoop

Spark

DevOps / MLOps

Job description

Research Engineer/Research Fellow in Applied Artificial Intelligence (AI)

Posting Start Date: 29/05/2026 Schemes of Service: Research Division: Professional Officers Employment Type: Fixed Term

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy andsociety.

SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as:

• Advanced Manufacturing & Semiconductors
• Urban Systems
• AI-Augmented Engineering
• AI Safety & Security
• Chemical Engineering & Biotechnology
• Hospitality and Tourism
• Healthcare
• Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering &Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners.

IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market.

Key Responsibilities

• Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, andinnovation initiatives outcomes.
• Outcomes include impact or revenue of industry partners
• Understand industry partners requirements and help create proposals tothem.
• Work with the team to create IP (Intellectual Property) from internal grants totarget multiple adopters

Job Requirements

• 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.
• 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 Applied AI for Healthcare and clinical practice
• Industry 4.0 and/or Industry 5.0 (added advantage)
• Experience applying AI to one or more of SIT’s focus areas: AdvancedManufacturing & Semiconductors, Urban Systems, AI-AugmentedEngineering, AI Safety & Security, Chemical Engineering & Biotechnology, AIfor Healthcare as well as Hospitality & Tourism.
• Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills inVideo Analytics, NLP (Natural Language Processing) or any of the followingwould be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark,Devops/MLops.
• Must have a firm grasp and understanding of data structures, data modeling andsoftware architecture using Python, R, Java and C/C#/C++, as well as competence inmathematics including probability, statistics and algorithms.
• Keen interest to support research and academic project work, with demonstratedability in developing software solutions to technical problems.
• Demonstrate proficiency to keep abreast of developments in the field and pursueprofessional certification programs. Possession of industrial certifications in relevantareas will be an added advantage.

Key Competencies

• Self-motivated and can work independently or in a team.
• Enjoy both analytical and hands-on work to solve problems.
• Able to build and maintain good working relationships with people within and externalto the university.
• Flexibility to work across functions/teams as part of a team in a dynamic environment.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess good analytical and critical thinking skills
• Shows good initiative and takes ownership of work undertaken
• Proactive, resourceful, and able to take ownership of assigned responsibilities