400 Research Engineer jobs in Singapore

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

A full stack software engineer is needed, with technical skills to work on both the front-end and back-end (the server-side logic, databases, and APIs) of a digital twin water quality prediction platform. The applicant should have a broad range of expertise in different programming languages, frameworks, and databases, allowing him/her to handle the entire software development process, from design and development to testing and deployment. Specifically, the applicant will be required to:

• Develop APIs, microservices, and data pipelines to support seamless data flow across the platform.

• Build intuitive and responsive web applications to visualize water quality data and predictions.

• Work with cloud platform (Azure) to deploy and scale the application.

• Ensure the platform's security, performance, and scalability.

• Write clean, maintainable, and testable code with an emphasis on quality and best practices.

• Participate in agile development cycles, including sprint planning, code reviews, and continuous integration.

• Stay updated on emerging technologies and trends to ensure that the platform remains innovative and cutting-edge.

Job Requirements

• Possess a bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Specific skills sets such as the followings will be preferred:
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React, Angular, ).
• Experience with back-end technologies like , Python, Ruby, or similar.
• Familiarity with database management (SQL, NoSQL).
• Experience with version control tools like Git.
• Knowledge of cloud technologies (Azure).
• Experience with containerization (Docker) and CI/CD processes is a plus.
• Strong problem-solving and analytical skills, with an ability to tackle complex technical challenges.
• Open to fixed-term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Civil and Environmental Engineering

Employee Referral Eligible: No

Job requisition ID : 30330

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

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Qualifications

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Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Division of Industrial Design

Employee Referral Eligible: No

Job requisition ID : 30146

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 AI for Head and Neck Cancer Screening. Successful candidate will be part of an active research team led by Prof Min Lee from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Develop and experiment an AI model to process and explain a video data
• Multimodal representation learning (videos/images + texts, etc.)
• Self-supervised learning
• Large language models
• Domain adaptation
• Work with a clinical partner
• Other duties as assigned

QUALIFICATIONS

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 1 years of relevant research experience in AI and machine learning
• Basic knowledge/Proficiency in programming software/languages such as Python, Tensorflow, Pytorch is required
• Demonstrated experience and know-how on creating an AI/ML model
• Good analytical, technical and problem solving skills
• Applicants with research publications in AI & Health areas will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

OTHER INFORMATION

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The National University of Singapore (NUS) invites applications for a Research Engineer (Soft Robotics) position. The selected individual is required to:

• Provide support in leading the humanoid robot design, development, and evaluation.

Qualifications

• Possess a bachelor's degree in engineering or related field.

• Familiar with Humanoid robot design

• Prior experience with robotics is preferred.

• Aid in system development and evaluation.

• Possess good written and spoken communications.

• Open to fixed term contract.

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Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Biomedical Engineering

Employee Referral Eligible: No

Job requisition ID : 30452

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we're shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

The Opportunity:

We are seeking a highly motivated Research Engineer to join our Research & Technology (TRT-SG) team. In this role, you will be at the forefront of advancing cutting-edge quantum RF sensing technologies, working on task such as simulations on thermal and EMI/EMC of cryocooling systems and experimental characterization of quantum superconducting electronic chips. As part of our dynamic R&T team, you will actively contribute to research projects from conceptualization to prototype development, collaborating with interdisciplinary experts to achieve transformative technological breakthroughs with practical applications in defense, communications, and precision measurement. This is an excellent opportunity to develop skills in simulation and hands-on experimental techniques, contributing to the advancement of cutting-edge quantum sensing technologies with real-world applications.

Responsibilities:

• Perform thermal simulations of cryocooling systems to analyze heat transfer and system performance.
• Conduct EMI/EMC simulations to assess electromagnetic compatibility of cryogenic hardware.
• Analyze simulation and experimental data to support hardware design improvements.
• Hands-on design, build and test of hardware prototypes to validate their performance and functionality.
• Work with multidisciplinary teams, to advance R&D goals.
• Collaborate with academic institutions, industrial partners, and government agencies to transition research into practical applications.
• Plan and manage R&D projects, including defining objectives, timelines, budgets, and risk mitigation strategies.
• Prepare detailed technical documentation, progress reports, and stakeholder presentations.
• Contribute to TRT-SG research work products and knowledge sharing thru potential patents, external and Group internal conferences and presentations, publications etc.

Requirements:

• Bachelor/Master/Ph.D. in Physics or engineering related discipline.
• Good understanding of quantum mechanics, semiconductor technologies, and RF Photonics
• Basic knowledge in thermal simulation, EMI/EMC principles, or quantum device characterization is desirable.
• Familiarity with simulation tools such as COMSOL Multiphysics, ANSYS, MATLAB, or similar platforms is a plus.
• Knowledge of transitioning technologies from low TRL research to high TRL prototypes.
• Proven ability to work independently, formulate research plans and take initiative.
• Demonstrated excellent interpersonal communication skills.
• Preparation and review of analysis presentations and reports. Presentation of analysis results at internal and external working group meetings.
• Support collaborative research efforts with other team members.

At Thales, we're committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you'll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

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Qualifications

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More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 30497

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with a background in chemical engineering and electrochemistry to join us.

As a Research Engineer, you will contribute to our industry projects focusing on scaling up our electro-metallurgical battery recycling technologies from lab to pilot scale. Main activities include

• Engineering design, Heat & Mass balances, equipment selection and sizing calculations and flowsheet development (PFD, P&IDs) for scale up systems.

• Support testing and optimization of small scale and pilot scale systems, including troubleshooting of process.

• Document all process development, testing, and optimization efforts, and contribute to technical reports and presentations.

• Liaising with suppliers and contractors for equipment procurement and setting up scale up systems.

Qualifications

1. Bachelor's or Master's in Chemical engineering, Metallurgical engineering, Electrochemical engineering, Chemistry or other relevant fields.
2. 1-3 yrs experience in metals extraction (Li, Ni, Co, Mn, Cu) from primary ore, secondary sources (waste, tailings), downstream processing and Electrochemical processes is preferred.
3. Prior hands-on experience in process development and piloting new technologies is desired. Above 5 yrs experience will be considered as a senior role to lead pilot scale operations.
4. Good knowledge of process safety (HAZOP, PHA).
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Materials Science and Engineering

Employee Referral Eligible: No

Job requisition ID : 30377

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 SOTIF testing, failure analysis, and failure mitigation for ADSs. The aim is to generate critical scenarios that cause motion failures of autonomous vehicles, perform a thorough analysis of the root cause of these failures, and develop new algorithms to mitigate them. Successful candidate will be part of an active research team led by Prof Xie Xiaofei from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Design scenario modeling methods for ADS testing.
• Design algorithms for critical scenarios generation.
• Develop methods for failure analysis and root cause analysis of critical scenarios.
• Develop methods to mitigate failures and improve ADS safety.
• Investigate robust motion planning for ADSs that can tolerate module failures in ADSs.
• Other duties as assigned.

QUALIFICATIONS

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Minimum 5 years of relevant research experience in ADS testing, motion planning, and deep learning.
• Proficiency in programming software/languages such as Python and SVL/CARLA will be positively considered.
• Proven track record and professional experience in ADS testing and motion planning.
• Demonstrated experience and know-how on ADS testing and robust motion planning.
• Excellent working knowledge of some simulators (e.g., CARLA, SVL ) and ADSs (e.g., Apollo, Autoware).
• Technical skills in ADS testing and learning-based motion planning.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications in software engineering, intelligent vehicles, and robotics 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.

OTHER INFORMATION

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• TypeScript
• MUI (Material-UI)

2) Backend:

• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

To apply, please visit our website at:

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified