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

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 Associate to support the research progress on Perovskite quantum dots for their implementation in light-emitting devices

Key Responsibilities:

• Collaborate with the materials and device team

• Development of Infrared emitting Quantum Dots (QDs)

• Development of Optoelectronics devices based on QDs

• Synthesis of novel Perovskite low-dimensional systems such as QDs and nanowires.

• Optical and electrical characterization methodologies.

• Operation, maintenance, and diagnosis of the chemistry lab and other simple laboratory instruments used.

• Supervise undergraduate students

Job Requirements:

• Possess a Bachelor's/ Master's degree in Physics/ chemistry/engineering or related disciplines.

• Experience in advanced laboratory experience in thermal evaporation

• Experience in advanced laboratory methods for the fabrication and analysis of solar cells

• Experience in Perovskite materials and optoelectronic devices

• Expert in Perovskite nanostructured synthesis. 

• Good interpersonal skills.

• Excellent teamwork awareness.

• Good communication and writing in English - essential for data analysis and communication with stakeholders

• Strong responsibility for research/work

We regret to inform 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. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a Research Engineer to support research work under the project “Green AI”.

Job Description:

• Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and sustainability.

• Contribute to the development of practical frameworks, methodologies, or tools that translate research insights into deployable or industry-relevant solutions.

• Prepare technical reports, documentation, and presentations to communicate findings to both academic and industry stakeholders.

• Support collaboration with industry partners by aligning research objectives with practical constraints and business needs.

Job Requirements:

• Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied mathematics, or related fields).

• Demonstrated experience working with industry partners or in industry–academia collaborative projects, including translating practical requirements into research or technical deliverables.

• Strong problem-solving skills, good communication abilities, and the capacity to work effectively in cross-functional and interdisciplinary teams.

• Prior experience contributing to technical reports, patents, white papers, or research publications is a plus, but not required.

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

Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of AI, Robotics, 3D Printing technologies, and Digital Twins through collaborative projects with HMGICS, and with schools and research centres within and beyond the University.

Responsibilities:

• Manage research projects, including milestones, deliverables, KPIs, and administration of major research/industry initiatives.

• Oversee day‑to‑day laboratory operations, facilities, and a team of researchers, while driving cost efficiency and process improvements.

• Conduct hands‑on experimental work and support research outputs, including proposals, journal papers, and conference publications.

• Prepare communications content and interface with industry partners and stakeholders.

• Ensure all activities and procedures comply with the University’s policy framework and support coordination of Hyundai‑NTU‑A*STAR Corporate Lab activities.

Requirements:

• Ph.D. in the area of Industrial, Mechanical, and Materials Engineering

• Engineering Design and Optimization

• Human Factor and Ergonomics

• AI-based Sensor Fusion

• Monitoring and Inspection using various sensors

• Optimization and control to implement sensors.

• Skills: FEM software (Comsol Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), Visual C++, LabVIEW, Pythons, EEG, and eye-tracking systems

• Demonstrated expertise in the area of design, methods, modelling, and optimization for implementing multimodal sensors, particularly in the automotive applications.

• Knowledge of engineering design, human factor, control, optimization, FEA simulation and experience in sensors will be considered.

• Applicants should also demonstrate a strong research track record, with publications in top‑tier journals.

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:

• Responsible for conducting research, mentoring graduate and undergraduate students.

• Responsible for reviewing and publishing papers.

• Brainstorming research ideas and formulating problems.

• Developing methods and conducting experiments in both simulation and real-world robotic systems.

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.

Key Responsibilities:

• Conduct research on the security, reliability, and fairness of smart contracts and decentralized applications (DApps).

• Design and develop analysis techniques and tools to detect vulnerabilities in blockchain systems.

• Formulate and evaluate models and metrics for fairness in decentralized environments.

• Develop prototype systems and perform experiments on real-world datasets and platforms.

• Publish research outcomes in high-quality venues and prepare technical reports.

• Collaborate with team members and support mentoring of students.

• Ensure timely completion of project milestones and deliverables.

Job Requirements:

• PhD degree in Computer Science, Computer Engineering, or a related field.

• Strong background in smart contract security, blockchain systems, or software security.

• Experience in program analysis, formal methods, or vulnerability detection techniques is preferred.

• Proficiency in programming languages such as Solidity, Python, C/C++, or Java.

• Familiarity with decentralized platforms (e.g., Ethereum) and related tooling is a plus.

• Good publication record in relevant areas (e.g., security, software engineering, blockchain) is advantageous.

• Strong analytical, problem-solving, and communication skills.

We regret that only shortlisted candidates will be notified.

The Singapore Centre for 3D Printing (SC3DP) is a research centre conducting fundamental and applied research in all aspects related to additive manufacturing. Our vision is to be the world leader in 3D Printing and a wellspring of knowledge, delivering state of the art and innovative solutions to the industry. SC3DP is at the forefront of developing advanced technologies and high-impact research in areas such biomedical, construction, aerospace, marine and offshore. It is one of the very few research centres globally with multi-sector 3D printing expertise. SC3DP’s research achievements, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally.

We are seeking a Research Fellow / Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles, conduct wind-tunnel-based experimental fluid mechanics studies, support CFD-driven design refinement, and analyse boundary-layer and drag-reduction performance data. The role involves close collaboration with academic and industry partners and contribution to technical reporting, technology translation and implementation-ready design guidelines.

Responsibilities:

• Plan, design and execute experimental investigation of boundary-layer behaviour, near-wall flow structures and drag-reduction performance on solid models.

• Set up, operate and optimise wind tunnel experiments and associated diagnostics, including force/pressure measurements, flow visualisation and other near-wall flow measurement techniques as appropriate.

• Develop CAD models for energy-saving device (ESD) geometries, experimental fixtures and supporting apparatus.

• Coordinate and support additive manufacturing-based prototyping of ESD concepts and test articles, including dimensional and surface-quality checks.

• Conduct CFD studies using commercial solvers to screen design variants, interpret flow mechanisms and guide experimental iterations.

• Develop scripts and workflows for experiment automation, data acquisition, post-processing and quantitative analysis using Python, MATLAB and/or LabVIEW.

• Integrate experimental and numerical findings to establish performance benchmarks, identify promising design directions and produce practical design guidelines for vessel-specific optimisation.

• Prepare technical reports, presentations, technical disclosures/IP inputs and other project documentation for internal, academic and industry stakeholders.

• Work closely with the PI and industry partners to support milestone delivery, downstream validation and translational activities.

• Contribute to laboratory safety, equipment upkeep, documentation standards and mentoring of junior researchers and/or graduate students.

Requirements:

• PhD in Mechanical Engineering, Aerospace Engineering or related field, with postdoctoral or equivalent research experience in experimental fluid mechanics or aerodynamics.

• Strong hands-on expertise in wind tunnel testing and flow diagnostics such as PIV, high-speed imaging, schlieren and pressure measurement.

• Experience with CFD using commercial solvers, Python/MATLAB-based data analysis, experiment automation, and CAD modelling.

• Demonstrated publication track record, strong communication skills, and the ability to work independently while managing multiple research tasks.

• Experience in wall-bounded flows, boundary layers, drag reduction, and mentoring junior researchers will be highly advantageous.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Machine-Learning-in-Chemical-Engineering%29%2C-ChBE/32386-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•     The Research Associate will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 
•    The Research Associate  will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    A Bachelor or Master degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

The research associate will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles

Key Responsibilities:

• The research associate will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles.

• The work will involve model training, test rig set-up, and experimental validation

Job Requirements:

• The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation.

• Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

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

RRIS (Rehabilitation Research Institute of Singapore)

We bring together expertise from three key areas: academic research through NTU, science and technology through A*STAR, and healthcare through NHG. This integrated approach allows us to leverage diverse strengths to develop innovative solutions for clinical challenges.

The Research Associate will bridge technical and commercial requirements to develop viable solutions for a novel rehabilitation robot. This role involves collaborating with stakeholders to refine and implement cutting-edge haptic technologies integrated into robotic solutions helping translate research concepts into viable and impactful solutions.

Key Responsibilities

• Assist in planning, tracking, and executing project activities.

• Establish effective communication to ensure seamless execution.

• Conduct market research to identify industry trends and stakeholder needs.

• Gather and analyse feedback to refine project objectives and deliverables.

• Serve as a liaison between internal teams and external partners.

• Prepare reports, presentations, and project documentation.

• Ensure adherence to regulatory and compliance requirements.

• Support process improvement initiatives.

• Assist in organising demonstrations, seminars, and engagement activities.

Job Requirements

• Possess a Master’s degree in Management or Engineering

• Experience interacting with external stakeholders for collaboration development.

• Industrial experience highly desirable.

• Experience or exposure to medical or rehabilitation technologies.

• Good interpersonal skills.

• Good communication and writing skills.

• Strong sense of responsibility and ownership.

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

We are looking for a Senior Research Fellow to develop a CFD engine and building energy models. The role will focus on participating in the development and implementation strategy of a cloud AI-based framework to perform business valuation.

Key Responsibilities:

• Develop new CFD solutions in partnership with our academic and technology partners;

• Identification of new research and technology development priorities;

• Providing CFD technical leadership to new research programs;

• Work closely with other team members to develop OpenFOAM methods, processes and workflows;

• Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our CFD tools and workflow;

• Support and optimise CFD tools including monitoring and resolving issues;

• Ensure that CFD simulations and analysis carried out within the department are aligned with the capability of the commercial tools;

• Conduct research into and analysis the energy usage of different scenarios;

• Write reports and mapping the total energy usage;

• Thinking of ideas for actionable options;

• Respond to questions from team members;

• Publish papers and support documentation.

Job Requirements:

• PhD qualification degree in Mechanical Engineering, Aerospace Engineering, or Applied Physics or related field

• At least 3 years of relevant experiences in CFD development.

• Familiarity with CFD solvers (Fluent, 6Sigma, STAR-CCM+, etc.)

• Good written and oral communication skills

• Proficiency in OpenFOAM development and/or in C++ language development in a CFD environment;

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Experience with energy modelling or coding platforms including SketchUp, EnergyPlus, OpenStudio, TRNSYS, and Python;

• Proven ability to work at a fast pace and to react rapidly to new information;

• F1 experience would be advantageous but not essential;

• Experience of Python, C++, and Unix shell scripting would be advantageous

We regret to inform 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. 

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

We regret to inform 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 motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

We regret to inform 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 motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

Responsibilities

• Prepare, facilitate, and conduct classroom training sessions
• Manage training administration duties and maintain accurate training records for compliance and reporting
• Provide meaningful and constructive feedback during evaluations to support continuous improvement
• Apply strong time management skills to work independently and handle ad hoc tasks reliably
• Use proficient MS Office skills to support training preparation and documentation
• Contribute positively to team culture and collaborate on projects delegated by the Managing Director
• Utilize marketing skills to support training promotion and engagement efforts

Preferred competencies and qualifications

• Experience working with training centres is preferred
• Administrative background is advantageous
• Excellent communication and interpersonal skills to engage diverse audiences
• Excellent team player and can work independently with minimum supervision
• Proficient in MS Office applications and social platforms
• Undertake any other ad-hoc duties as and when required

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.