Total 158 network engineer job vacancies in Education / Training category

Responsibilities

• Conduct experimental research on various properties of the Company’s products, as well as analysis and tests to investigate the chemical phenomena of products.
• Responsible for new product testing, development and prototype production; as well as assisting customers during material evaluation and qualification phases with the Company’s products.
• To work closely with customers in the development of suitable material configurations to meet customer needs and providing technical support to them.

Requirements:

• Degree in Chemical Engineering / Chemistry / Materials Science / Polymer.
• At least 1 – 2 years of working experience in similar capacity. Those with more than 3 years of experience will be considered for Senior Engineer's position.
• Knowledge of polymer science and semiconductor materials composition.
• Knowledge of IC package encapsulant and semiconductor back-end processes.
• Knowledge in material characterization and/or FA equipments is preferred.
• Experience in DOE, FEM and numerical analysis would be advantageous.
• Innovative, meticulous, analytical with initiative.
• Must be a team player and strong work commitment.

As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. 

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met.
• Undertake or help guide work and demonstrations in the following tasks:

1. Code exfiltration and binary reverse engineering.
2. Study, understand and analyse mobile platform applications.
3. Android app reverse engineering (Drone apps)
4. Static and Dynamic analysis(experience in tools like Frida, Burp, Wireshark)
5. Develop AI-assisted agents for automated firmware analysis and exploration
6. Build a controlled firmware-replica environment for evaluating protocol security
7. Design, develop and test control augmentation techniques.
8. Adaptation of developed techniques for more generic use.

• Perform project documentation and crafting of research papers.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

 Job Requirements

• A good degree in Computer Science / Engineering or higher.
• Proficiency with code exfiltration and reverse engineering.
• Proficiency with penetration testing techniques and tools.
• Proficiency with software scripting and development work on desktop and / or mobile platforms.

Key Competencies

• Self-directed learner who believes in continuous learning and development.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.
• Proficient in technical writing and presentation.
• Able to build and maintain good working relationships with people within and external to the university.

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles

• cyber risk management, advanced threat intelligence

• secure-by-design for IoT and policy

• governance of cybersecurity

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

Responsibilities:

• Lead the architecture, design, and development of software systems for the Agentic AI framework

• Drive the development of autonomous AI agent systems, including reasoning, planning, memory, and tool integration capabilities

• Take ownership of end-to-end system delivery, from concept and prototyping to evaluation and deployment

• Design and implement scalable, secure, and high-performance AI platforms, leveraging modern cloud-native and distributed architectures

• Establish and enforce engineering best practices, including coding standards, testing frameworks, and documentation

• Lead technical experimentation and evaluation, including benchmarking, performance optimisation, and system validation

• Mentor and guide junior engineers and researchers, providing technical direction and oversight

• Collaborate with internal stakeholders, external partners, and industry collaborators to translate research into real-world applications

• Contribute to research outputs, including technical reports, publications, and intellectual property development

• Support project planning, milestone tracking, and delivery of funded research objectives

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related discipline.

• Minimum 8 years of relevant experience in software engineering, AI systems development, or   research engineering roles

• Strong programming experience in Python or similar languages

• Knowledge of machine learning, AI systems, or autonomous agents

• Experience with scalable software systems and cloud-based development environments

• Familiarity with software engineering practices including version control and testing

• Strong analytical, problem-solving, and communication skills

• Ability to lead across multidisciplinary teams

We regret to inform 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.
• 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 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.

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.