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

Unist; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore Institute of Technology (SIT) seeks researchers to expand its applied AI capabilities across domains such as Advanced Manufacturing, Urban Systems, AI Safety, and Healthcare. The role focuses on industry-driven problems, building IP from internal grants, and collaborating with internal and external stakeholders to deliver impactful research outcomes.

Qualified candidates hold a strong AI/ML background with knowledge of Python and ML frameworks, and are prepared to work in a dynamic,

Qualifications

• The candidate has a strong background in AI/ML research with applied experience.
• Experience in one or more SIT focus areas and industry problem solving is preferred.
• Proficiency in Python and major ML frameworks is required.

Responsibilities

• Collaborate with PI and stakeholders to drive applied AI research outcomes.
• Develop proposals and projects to meet industry partner needs.
• Create IP from internal grants for multiple adopters.
• Publish results and contribute to SIT IaaS initiatives.

Skills

Artificial Intelligence

Machine Learning

Python

Deep Learning

NLP

Computer Vision

Research

Education

Bachelor's or Master's in CS/Engineering

Tools

PyTorch

TensorFlow

Scikit-Learn

Keras

Job description

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 6 Aug 2027 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 cohortof 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
• AI-Augmented Engineering
• AI Safety & Security
• Chemical Engineering & Biotechnology
• Hospitality and Tourism
• 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 connectindustry players, particularly start-ups and SMEs, with the research and technologicalcapabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLSand 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/externalstakeholders (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:

• A good Bachelor’s degree or Master’s degree in Computer Science,Engineering, or a related discipline, with demonstrated experiencein 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.
• 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