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

Singapore Institute of Technology; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

The Singapore Institute of Technology is looking for a Research Engineer/Fellow specializing in Applied Artificial Intelligence (AI). This position requires collaboration with stakeholders to drive AI solutions across various sectors, focusing on areas such as healthcare, manufacturing, and urban systems.

Ideal candidates will have a Bachelor's or Master's degree in Computer Science or Engineering, combined with deep expertise in deploying AI technologies in real-world applications. 8+ years of experience in machine learning roles is preferred. A proactive approach to problem-solving and software solution development is essential for success.

Qualifications

• Bachelor's or Master's in a relevant field.
• 8+ years experience for Machine Learning Engineer or 1-3 years for Research Engineer.
• Experience with AI/ML research/application.

Responsibilities

• Support or drive applied research and innovation initiatives.
• Deliver impact and revenue for industry partners.
• Help create proposals based on industry requirements.

Skills

Computer Vision and Image Processing

Machine Learning

Deep Learning

Reinforcement Learning

Generative AI

Trustworthy AI

Physics-informed neural networks

Time-series modelling

Graph Neural Networks

Digital twins

Education

Bachelor’s degree in Computer Science

Master’s degree in relevant discipline

Tools

TensorFlow

PyTorch

Keras

Apache Hadoop

Spark ML

Job description

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

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 and society.

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

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 SIT, local polytechnics, other IHLs and overseas university partners.

IaaS Centre of Digital Innovation focuses on assisting companies to digitalise their operations or products 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 to support or drive applied research and innovation initiatives outcomes.
• Deliver impact or revenue for industry partners.
• Understand industry partners’ requirements and help create proposals.
• Work with the team to create IP from internal grants to target multiple adopters.

Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in AI/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, 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
  • 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.
• Deep technical specialist with 8+ years of experience as a Machine Learning Engineer or similar role; 1–3 years suffices for research engineers.
• Preferred skills in Video Analytics, NLP, Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit‑Learn, CNTK, big data technologies such as Apache Hadoop and Spark, DevOps/MLops.
• Firm grasp of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++ and competence in mathematics including probability, statistics and algorithms.
• Interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems.
• Proficiency in keeping abreast of developments in the field and pursuing professional certification programs; possession of industrial certifications is an added advantage.

Key Competencies

• Self‑motivated and able to work independently or in a team.
• Enjoys both analytical and hands‑on work to solve problems.
• Can build and maintain good working relationships with people within and external to the university.
• Flexible to work across functions/teams in a dynamic environment.
• Self‑directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possesses good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Proactive, resourceful and takes ownership of assigned responsibilities.