Total 66 engineering job vacancies in Education / Training category in Australia

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

• Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

• Mentor junior research lab members in experiments.

• Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

• Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

• Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, high-throughput screening) is preferred.

• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.

• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a Research Fellow to work on a project in the area of cyber-physical security analysis of modern power grids. The role will focus on cyber-physical modeling, simulation, and security assessment method development.

Key Responsibilities:

• Develop a high-fidelity Digital twin platform for modern power grid systems with coupled cyber-physical interaction layers.

• Simulate and access various cyber-attack vectors (e.g., data injection, remote control hijacking, protocol spoofing) to support power grid cyber-physical security assessment

• Provide an interface for external solution provides to test cybersecurity products virtually.

• Integrate with a Hardware-in-the-loop (HIL) platform for co-simulation tests on individual components in the power system.

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in power system modeling and simulation

• Research experience with power system cyber-physical modeling and simulation.

• Excellent verbal and written communication skills in English - essential for data analysis and communication with stakeholders

• Strong analytical and conceptual abilities.

• Relevant industry working experience is highly preferred.

• Able to work independently and in a team to realize proposed research work.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS CareerPortal. Please note your application will only be processed if you apply viaNUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28MaterialsChemistryEngineering%29/32557-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned by the PI.

Qualifications

• A PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, Bioengineering, or any other related field, obtained from a reputable university.
• Fresh PhD without postdoctoral working experience is welcomed, but showing evidence of excellent research accomplishments.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and bio-based polymers, hydrogels, and composite resins.
• Good written and spoken English communication skills.
• Being a good team player across multiple disciplines.

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Fellow to support the development of smart connectors for modular floating breakwaters. The role will focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Design and build connector models

• Simulation and optimization of connectors

• Fabricate connectors and conduct lab tests

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students

Job Requirements:

• PhD degree in civil engineering or related field

• At least 1 year of relevant experience in signal processing and machine learning.

• Good written and oral communication skills

• Proficiency in ANSYS, and lab test skill

• Ability to work independently and develop solutions under strict timelines

We regret that only shortlisted candidates will be notified.

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Associate to support the development of hybrid vision-vibration digital twin for steel structures. The role will focus on simulation, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Develop modelling techniques for hybrid digital twins.

• Fabricate steel building models with corrosions.

• Develop AI and model updating techniques to calibrate the model.

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students.

Job Requirements:

• MSc degree in civil engineering or related field

• At least 1 year of relevant experience in structural analysis and machine learning.

• Good written and oral communication skills

• Proficiency in ABAQUS, MATLAB, and lab test skill

• Ability to work independently and develop solutions under strict timelines

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Lead the design, implementation, and evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing.

• Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation, process mining, conformance checking, and token-based what-if analysis.

• Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge update workflows.

• Design and maintain semantic / causal knowledge graph and provenance mechanisms for validated write-back of rules, parameters, and process knowledge.

• Conduct experiments, benchmarking, and technical validation on manufacturing control-tower and process-design use cases, including performance overlays and policy evaluation.

• Work closely with project investigators, collaborators, and domain experts to translate operational requirements into concrete technical modules and research deliverables.

• Prepare technical reports, research publications, software artefacts, and presentations arising from the project.

• Support project coordination, documentation, milestone tracking, and supervision of junior research personnel or students where required.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech Intervention, we establish a sub-project on “Human Gait Detection via Acoustic-enabled Footstep Tracking under NTU-CCDS. In line with NTU’s vision and mission to nurture leaders through research, this project aims to attract both local and international talents with prior experience in relevant fields to achieve intended research output.

Key Responsibilities:

• To independently undertake research in artificial intelligence and computer vision tools.

• To use these tools for interpret the acoustic sensing results.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To attend, contribute, where necessary lead relevant meetings, and effectively interact with medical experts from SGH and NNI.

• To provide guidance and support to any students associated with the project.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably PhD in Computer Science/Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth research experience in artificial intelligence and computer vision.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• High-level expertise in the required experiment or deep learning methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

The Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment.

The role will focus on application of smart contracts in energy applications. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon frameworks, implementing TEEs for confidential execution, and ensuring secure, tamper-proof dual-hash validation. The specialist will also oversee performance, scalability, and security of on-chain and off-chain operations.

Key Responsibilities

• Design and implement API connectors for IoT devices, metering infrastructure, SCADA, and DERMS platforms.

• Integrate the blockchain platform with corporate ERPs, billing systems, and financial institutions.

• Ensure secure, low-latency data exchange between on-chain smart contracts and off-chain systems.

• Develop data validation and reconciliation workflows to minimize disputes and errors.

• Support deployment of pilot projects (e.g., REIDS facility) and coordinate with DER operators.

• Collaborate with blockchain specialists, AI engineers, and regulatory teams to meet compliance requirements.

Job Requirements:

• Master’s in Computer Science, Electrical Engineering, or related fields.

• Experience with cloud platforms, microservices architecture, and real-time data pipelines.

• Strong problem-solving skills and ability to work across multiple stakeholders.

• Prior exposure to energy market operations, PPAs, or VPPs is a plus.

• Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations.

• Knowledge of cryptography, consensus algorithms, and security best practices.

• Prior experience in energy markets or financial settlement systems is highly desirable

• Proven experience in systems integration and API development (REST, gRPC, MQTT).

• Familiarity with IoT and smart metering protocols, SCADA/DERMS, and energy management systems.

• Knowledge of blockchain integration, smart contracts, and dual-hash validation workflows.

• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope

We regret to inform that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

We regret to inform that only shortlisted candidates will be notified.

Job Summary

We are a project team comprising researchers from SingHealth, A*STAR, and Synapxe, developing a product to enhance the management and treatment of patients with lower respiratory tract infections (LRTIs)—a condition that accounts for nearly 489 million cases globally and is a major contributor to inappropriate antibiotic use in Singapore. 

Over 40% of prescriptions for LRTIs are unnecessary, contributing to antimicrobial resistance (AMR)—a top global health threat. Traditional stewardship programs are expert-dependent and resource-intensive, limiting scalability.

To overcome these challenges, we are building an AI-powered Large Language Model platform that uses routinely collected clinical data to help clinicians identify cases that do not require antibiotics, thereby reducing unnecessary prescriptions.

Role:

As a Research Officer, you will play a central role by integrating Large Language Models (LLMs) for intelligent processing of unstructured clinical text—such as physician notes, discharge summaries, and radiology reports. Your work will help build explainable, scalable, and real-time AI recommendations that assist clinicians at the point of care for lower respiratory tract infections.

Key Responsibilities:

• Contribute to the LLM development, focusing on enhancing unstructured data processing for clinical and biomedical applications.
• Fine-tune and train LLMs (e.g., LLaMA, Mistral, Phi, and the GPT family) using supervised and instruction-based datasets.
• Design and implement pipelines for data cleaning, preprocessing, and tokenisation of large-scale text corpora.
• Integrate retrieval-augmented generation (RAG) and knowledge graph components for domain adaptation.
• Evaluate model performance using BLEU, ROUGE, BERTScore, and factual consistency metrics.
• Develop optimised PEFT/LoRA/QLoRA fine-tuning frameworks for efficiency on GPU clusters.
• Collaborate with researchers to design experiments, interpret results, and publish findings.
• Maintain reproducible codebases, documentation, and experiment logs.

Requirements:

• Master or Bachelor in computer science, data science, artificial intelligence, computational linguistics, or related disciplines.
• Strong experience in Natural Language Processing (NLP), transformer-based models, and text generation.
• Proficiency in Python, PyTorch, Hugging Face, Transformers, and LLM fine-tuning libraries (e.g., PEFT, DeepSpeed, bitsandbytes).
• Experience with text and data processing, including annotation, tokenisation, and augmentation.
• Familiarity with vector databases (FAISS, Qdrant) and RAG pipelines.
• Understanding of GPU-based training, distributed model optimisation, and experiment tracking (e.g., MLflow, W&B).
• Strong analytical, communication, and collaborative skills.

Preferred Experience

• Research experience with open-weight LLMs or domain-specific adaptation (e.g., biomedical).
• Experience with multi-agent frameworks, prompt engineering, or LLM safety evaluation.
• Familiarity with cloud computing (AWS, Azure) or on-prem GPU clusters.

What We Offer

• Opportunity to work on cutting-edge LLM research with measurable real-world impact.
• Access to high-performance GPU infrastructure and interdisciplinary collaborations.
• Mentorship and opportunities for publication, conference presentation, and project leadership.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The Research Associate role is responsible for designing and implementing advanced hardware architectures and system-level solutions for next-generation computing, with a focus on memory-centric acceleration.

Key Responsibilities:

• Design and develop Processing-in-Memory (PIM) architectures, particularly leveraging emerging memory technologies such as ReRAM

• Implement and optimise hardware acceleration solutions for scientific computing algorithms (e.g., iterative solvers such as AMG, CG) and AI workloads

• Conduct hardware-software co-design, including architecture design, dataflow optimisation, and system integration

• Develop novel mapping strategies and dataflow scheduling techniques to improve performance, energy efficiency, and hardware reliability

Job Requirements:

• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related discipline

• Strong background in computer architecture, hardware acceleration, or high-performance computing

• Experience in Processing-in-Memory (PIM), ReRAM, or emerging memory technologies is highly preferred

• Proficiency in algorithm-hardware co-design, particularly for sparse or irregular computations

• Familiarity with scientific computing algorithms (e.g., AMG, Conjugate Gradient, SpMV) or AI acceleration

• Experience in hardware modelling, simulation, or architecture design tools

• Strong understanding of performance optimisation, energy efficiency, and system-level trade-offs

• Ability to work independently and collaboratively in a multidisciplinary research environment

• Strong analytical, problem-solving, and communication skills

• Track record of publications, patents, or research projects will be an advantage

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Design and integrate databases with user interfaces and dashboards within cloud computing environments.

• To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery.

• To develop interactive dashboards and user interfaces to visualize model outputs, data insights.

• Collaborated with research teams in continuously improving system performance through experimentation and AI model training and finetuning.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers, develop research proposals and attract additional external fundings when appropriate.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

We regret to inform that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• To independently undertake research in 3D computer vision and visual generation.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To provide guidance and support to any students associated with the project.

• To attend, contribute, and where necessary lead relevant meetings.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.