Total 185 software test engineer job vacancies in Education / Training category in Australia

We are looking for motivated candidates to join the Advanced Manufacturing & Semiconductor Division (AMS) at the Institute of High Performance Computing (IHPC), A*STAR as a Research Engineer. The candidate will support research and development in AI for Science and scientific machine learning, with a focus on implementing and scaling Physics Foundation Models (PFM) for modelling complex physical systems in advanced manufacturing and semiconductor applications.

This work involves integrating neural operators, graph-based numerical solvers, and deep learning architectures to develop next-generation computational modelling tools. You will work closely with researchers and engineers to build robust computational frameworks and accelerate physics-based simulations using machine learning.

The key scope of work includes:

• Implementing and optimizing neural operator architectures for modelling PDE-governed physical systems.
• Developing graph-based representations of numerical solvers and integrating them into machine learning frameworks.
• Building and maintaining machine learning pipelines for scientific simulations, including data generation, training, and evaluation.
• Integrating deep learning models with physics-based simulation workflows.
• Optimizing computational performance using GPU acceleration and high-performance computing platforms.
• Supporting the development of research prototypes and experimental platforms.
• Collaborating with interdisciplinary teams working on machine learning, physics, and engineering applications.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computational Physics, Applied Mathematics, or related disciplines.
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or JAX.
• Experience with scientific computing, numerical simulation, or PDE-based modelling is desirable.
• Familiarity with graph neural networks, neural operators, or physics-informed machine learning is an advantage.
• Experience with GPU computing, parallel computing, or high-performance computing environments is a plus.
• Good software engineering practices, including version control and reproducible research workflows.
• Strong problem-solving skills and ability to work effectively in a collaborative research environment.

We welcome engineers who are eager to build impactful technologies at the intersection of machine learning, physics, and advanced manufacturing.

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.

We are looking for motivated candidates to join the Advanced Manufacturing & Semiconductor Division (AMS) at the Institute of High Performance Computing (IHPC), A*STAR as a Research Engineer. The candidate will support research and development in AI for Science and scientific machine learning, with a focus on implementing and scaling Physics Foundation Models (PFM) for modelling complex physical systems in advanced manufacturing and semiconductor applications.

This work involves integrating neural operators, graph-based numerical solvers, and deep learning architectures to develop next-generation computational modelling tools. You will work closely with researchers and engineers to build robust computational frameworks and accelerate physics-based simulations using machine learning.

The key scope of work includes:

• Implementing and optimizing neural operator architectures for modelling PDE-governed physical systems.
• Developing graph-based representations of numerical solvers and integrating them into machine learning frameworks.
• Building and maintaining machine learning pipelines for scientific simulations, including data generation, training, and evaluation.
• Integrating deep learning models with physics-based simulation workflows.
• Optimizing computational performance using GPU acceleration and high-performance computing platforms.
• Supporting the development of research prototypes and experimental platforms.
• Collaborating with interdisciplinary teams working on machine learning, physics, and engineering applications.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computational Physics, Applied Mathematics, or related disciplines with at least 5 years of relevant experience.
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or JAX.
• Experience with scientific computing, numerical simulation, or PDE-based modelling is desirable.
• Familiarity with graph neural networks, neural operators, or physics-informed machine learning is an advantage.
• Experience with GPU computing, parallel computing, or high-performance computing environments is a plus.
• Good software engineering practices, including version control and reproducible research workflows.
• Strong problem-solving skills and ability to work effectively in a collaborative research environment.

We welcome engineers who are eager to build impactful technologies at the intersection of machine learning, physics, and advanced manufacturing.

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Derivation of novel performance metrics for federated causal inference algorithms.
• Analysis of causal inference models in federated settings using synthetic and real-world datasets.
• Design and development of novel federated causal inference algorithms and associated software APIs.
• Validation of algorithms via simulations and live demonstrations.

Job Requirements

• A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent.
• Strong theoretical background in statistics and machine learning.
• Knowledge of the basics of federated learning and causal inference is highly encouraged.
• Proven track record in research and development of machine learning algorithms.
• Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow.

Key Competencies

• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for systematically evaluating AI models and datasets to understand the strengths and weaknesses of existing tools in this field and identify ways to adapt promising tools to their intended applications. The work will create valuable knowledge to inform end-users and technology researchers, helping to ensure that the technologies from CATOS and its partners are of desirable performance and robustness for the intended use cases and applications.

The candidate will assume the following roles and responsibilities:

• As a Research Engineer, contribute to the evaluation of emerging technologies and data underneath the technologies.
• Collaborate with senior team members, stakeholders and cross-functional teams to incorporate requirements that arise from the evolving landscape.
• Contribute to key CATOS events that are aimed at engaging the research, industry, government agencies, NGOs and the general public

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• Demonstratable experience in using machine learning / deep learning frameworks and models.
• Proficient with programming languages (e.g., Python, Java, C/C++, MATLAB) and tools. (e.g., Jupyter Notebook, VS Code)
• Ability to quickly develop and iterate on prototypes.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Candidates with no experience may apply.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic in nature.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share at least two representative research projects or publications that you have developed independently or contributed to significantly.

Please note that only shortlisted candidates will be notified.

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.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI Engineer with strong applied AI skills ready to build large-scale systems. You will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
• Proven hands-on experience in implementing and optimizing machine learning models.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
• Experience with large-scale training, HPC workflows, or ML engineering pipelines.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

Job Description

Be part of an exciting FAB Operations Team working on cutting-edge process technologies.

Job Responsibilities:

• Looking for reliable individual - Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested. Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Job Requirements:

• Diploma/Degree in MicroElectronics/Electrical/Mechanical/Chemical Engineering or equivalent.
• Understanding on semiconductor process - at least 1-3 years of experience in semiconductor processes (Photolithography, Dry/Wet Etch/Cleans, ThinFilms, Diffusions, Chemical mechanical Polishings, Metrology etc.)
• Must be a self-starter, dependable and highly motivated.
  
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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 motivated Research Engineer to conduct research on AI, reinforcement learning, AI agents, and machine learning.

Responsibilities:

• Conduct AI research

• Present research outputs

• Organize project relevant events

• Manage project progress

• Write research papers/reports based on the requirements of the projects

Requirements:

• Master’s degree in Computer Science/Engineering or equivalent

• More than 2 papers published at top AI/Machine learning conferences

• Experience of deep learning and machine learning

• Good communication and coordination skills

• Positive working attitude and a good team player

• Strong sense of responsibility and able to work independently with minimal supervision

• Self-motivated and able to multi-task

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on video deepfake detection. Successful candidate will be part of an active research team led by Prof HE Shengfeng from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Conduct high-quality research on 3D world models.
• Generating/Collecting video/3d data.
• Implementing 3D modeling related programs.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum master's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on computer graphics.
• Minimum 1 year of relevant research experience in computer graphics.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer graphics.
• Demonstrated experience and know-how on world models.
• Excellent working knowledge of computer graphics and generative models.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a paper in top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Master degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a first-authored paper in top AI or software engineering or cybersecurity conferences/journals (CORE A*r).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

About the Role

We are seeking motivated Research Engineers to join our team working on advanced technologies in piezoelectric materials and ultrasound systems. This role offers hands-on experience in cutting-edge research and development, contributing to innovative solutions for sensing and imaging applications.

Key Responsibilities

Candidates may contribute to one or more of the following areas:

• Materials Development: Design, fabricate, and characterize piezoelectric materials and composites. Optimize material properties for ultrasound transducer performance.
• Sensor Hardware Development: Develop and assemble ultrasound transducers and sensor prototypes. Perform electrical and acoustic testing of devices.
• Software Development: Implement signal processing algorithms for ultrasound data acquisition. Develop control and visualization software for sensor systems.

Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in: Mechatronics Engineering, Materials Science, Electrical Engineering, Mechanical Engineering, Computer Science, or related fields.
• Strong interest in piezoelectric materials, ultrasound technology, and sensor systems.
• Experience in any of the following is a plus: Hardware prototyping and electronics. Programming (Python, C++, MATLAB).Materials characterization (XRD, SEM, impedance analysis).

What We Offer

• Opportunity to work on real-world research projects in collaboration with industry and academia.
• Access to advanced labs and equipment for materials and ultrasound development.
• Mentorship from experienced scientists and engineers.

We are seeking a creative and motivated Data Analytics & AI Specialist to join our Data & Automation team. In this role, you will develop and deploy data-driven solutions using machine learning, statistical modelling, and AI techniques to solve complex challenges across fab operations—from wafer processing and defect detection to predictive maintenance and real-time process control. You will collaborate closely with process engineers, equipment specialists, and IT teams to transform raw fab data into actionable intelligence that enhances productivity, quality, and yield.

Key Responsibilities

• Design, develop, and implement scalable data pipelines to ingest, clean, and structure high-volume, high-velocity data from fab tools (e.g., sensors, MES, EDA, APC systems).
• Apply advanced analytics, machine learning, and AI techniques (e.g., computer vision, time-series forecasting, anomaly detection, reinforcement learning) to improve manufacturing outcomes.

• Build predictive and prescriptive models for applications such as:

Yield prediction and root cause analysis

Equipment health monitoring and predictive maintenance

Real-time process control and fault detection

Defect classification and pattern recognition

• Collaborate with cross-functional teams to translate business problems into analytical frameworks and measurable KPIs.
• Deploy and monitor ML models in production environments, ensuring reliability, scalability, and compliance with fab data governance standards.
• Stay current with emerging AI/ML technologies and assess their applicability to semiconductor manufacturing challenges.
• Document methodologies, share insights through dashboards/reports, and support continuous improvement initiatives.

Required Qualifications

• Minimal Bachelor in Data Science, Computer Science, Electrical Engineering, Industrial Engineering, Applied Mathematics, or a related field preferred.
• 2+ years of experience applying data analytics and/or machine learning in semiconductor manufacturing or fab automation.
• Knowledge of semiconductor processes (e.g., lithography, etch, deposition) or equipment data standards (SECS/GEM, GEM300)
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience working with time-series data, sensor data, or structured/unstructured manufacturing data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark, Kafka).
• Understanding of statistical methods, experimental design, and model validation techniques.
• Excellent problem-solving, communication, and teamwork skills.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our research program on post-quantum Security, ‘QUASAR - QUANTUM SECURITY AND RESILIENCE FOR EMERGING TECHNOLOGIES’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Fraunhofer Singapore, Nanyang Technological University (NTU), the National University of Singapore (NUS). At TUMCREATE, we will focus on developing an open and verifiable Quantum safe RISC-V processor platform as a foundation for the QUASAR program.

As part of the QUASAR team, you will work alongside renowned scientists in Integrated Circuit (IC) design, security, and quantum technologies.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Summary

We are seeking a highly motivated and skilled researcher in Secure Hardware Design. You will research leading-edge True Random Number Generator (TRNG) and Physical Unclonable Function (PUF) solutions in the context of post quantum security applications, especially dedicated to a RISC-V processors. You will investigate and provide advanced designs and algorithms for PUF-based key-storage and authentication solutions and accelerators to provide randomness to an open-source post-quantum secure system. You will be responsible for the physical design and the integration of analog components in a team for IC design of an RISC-V processor.

This is a fixed term contract until March 2029.

Key Responsibilities

• Research and provide TRNG and PUF solutions for an open-source RISC-V processor.
• Research and perform backend design using open-source tools, especially for the design of an open-source post-quantum secure RISC-V processor.
• Collaborate with experts in design automation, IC design, and security to enable leading-edge hardware-intrinsic security solutions and IC design.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in hardware security and/or analog design and/or digital design and/or physical IC design.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

We are seeking for candidates with a

• Bachelor’s degree in electrical engineering or related fields with at least two years of experience in physical IC design or analog circuit design, or
• Master’s degree in electrical engineering or related fields with focus on hardware security, digital circuit design or analog circuit design, or
• PhD degree related to hardware security, embedded security, embedded systems or circuit design.
• Candidates expecting to fulfil one of these requirements within 2 months after application are welcome to apply.
• Publications in the domain of TRNGs or PUFs at premier conferences and in premier journals are considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for scientific leadership for research fellows.
• The opportunity to pursue a PhD (awarded by the Technical University of Munich) for research associates with a master’s degree.
• Opportunities for professional development.
• Engagement with a leading international team addressing challenges in IC design for post-quantum security.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We look forward to your application!

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-Engineer-%28Coastal-Barrier%29/32193-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This research project aims to develop a new coastal protection system that can be deployed only when needed and fully retracted under normal conditions. The proposed system uses offshore jack-up platforms, similar to those in the marine industry, to temporarily support a telescopic flood barrier that can extend during extreme events and retract afterwards. 

The research staff will undertake the engineering analysis and design of coastal barrier structures, which keeps waterways open for navigation, preserves sea views, and reduces the need for large permanent structures on the seabed or along the coast

Job Requirements

•    Possess at least a bachelor’s in civil or mechanical engineering or related disciplines.
•    A master’s degree is preferred.
•    Have fundamental knowledge structural engineering and structural analysis.
•    Have laboratory experience in designing, conducting, and instrumenting structure.
•    Possess strong written and spoken communication skills.    
•    Required to work in a multi-disciplinary team and values diversity
•    Open to fixed term contract.    

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.

The candidate will assume the following roles and responsibilities:

• Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
• Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
• Work with software developers to enhance core platforms and solutions.
• Develop documentation for the implemented solution.
• Follow Agile project management framework.
• Work and communicate well with other team members.
• Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• At least 5 years of relevant work experience.
• Demonstrable experience in using machine learning / deep learning frameworks and models.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
• Programming skills in Python are essential.
• Experience with the Linux platform is essential.
• Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
• Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
• Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
• Solid understanding of HTTP protocols, AJAX, and RESTful services.
• Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
• Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
• Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
• Proactive team player with strong communication skills.
• Strong understanding and experience with Agile methodologies and processes.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
• Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)

If you have accomplished any of the following, please include them in your cover letter:

1. You have won a programming competition.
2. You have independently built a software project. (any programming language)
3. You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
4. You have been trained under Agile Software Development framework.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).

Please note that only shortlisted candidates will be notified.

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.