Total 156 Education / Training job vacancies

Role

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing advanced AI models for tasks such as transformer based foundation models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

How your work moves the mission forward

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design and implementation of core perception software skills within Intrinsic's platform.

Skills you will need to be successful

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
• 1-3 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models.
• Demonstrated experience with deploying deep learning models in production, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.

Skills that will differentiate your candidacy

• Expertise in transformer-based deep learning architectures for computer vision and robotics.
• Experience with optimizing or quantizing ML models for deployment
• Experience developing algorithms for robotic perception, grasping and/or manipulation.
• Proficiency in CUDA for high-performance computing.

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-%28Digital-Concrete%29/32503-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The selected RE is required to work on 
•    Development of durable construction materials from locally available resources for marine applications.
•    Assessment of environmental impact of the developed concrete mixture.
•    Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

•    Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment.
•    Has the ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings.
•    Due to an international working environment, strong written and spoken communications skills will be required. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

Job Description: Freelance Private Early Interventionist/ Learning Support Educator (1-to-1)

APPLY HERE: https://portal.specialminds.com.sg/?type=service_professional

Company Overview: We are Singapore’s first dedicated matching platform for children with learning or special needs. Our mission is to connect children with freelance professionals across five key areas: Tuition, Early Education, Early Intervention, Therapy & Counseling, and Enrichment Activities. We strive to create a supportive community that bridges students' needs with expert guidance, helping them grow and thrive academically and emotionally.

Position: Freelance Private Early Interventionist / Learning Support Educator (1-to-1)

Responsibilities:

• Provide individualised early intervention and learning support to children with developmental delays, learning difficulties, or special needs.
• Develop and implement customised intervention plans and activities tailored to each child’s unique learning profile and developmental goals.
• Work closely with families, caregivers, and other professionals to monitor progress, adapt strategies, and ensure holistic support for the child.
• Use evidence-based practices to address specific developmental areas such as communication, motor skills, social interaction, and cognitive development.
• Offer guidance and training to parents and caregivers to support the child’s learning and development outside of sessions.
• Keep detailed records of each child’s progress, adjusting the intervention approach as needed to meet evolving needs.
• Stay updated on the latest trends and best practices in early intervention and special education.

Requirements:

• Degree or Diploma in Early Childhood Intervention, Special Education, Psychology, or related fields.
• Certification in early intervention or special needs education is preferred (e.g., Diploma in Early Childhood Intervention – Special Needs, DAS certification, or equivalent).
• Previous experience working with children with special needs or developmental delays in a one-to-one setting.
• Strong understanding of early childhood development and intervention strategies.
• Excellent communication and interpersonal skills, with a compassionate and patient approach to working with children and their families.
• Ability to work independently and customize learning plans based on each child’s progress and needs.
• A passion for helping children with special needs thrive and succeed.

Why Join Us?

• Enjoy Higher Rates: Our rates are adjusted for inflation and aligned with the latest market standards, ensuring you are fairly compensated.
• No More Sudden Cancellations: We collect deposits before the first session, so you don’t have to worry about last-minute cancellations.
• No Wasted Trips: If a client doesn’t show up, you will still receive compensation for the first session.
• One-Time Administration Fee: Any additional sessions or direct referrals won’t incur further administrative fees from Special Minds.
• Boost Your Profile: Gain visibility through the free promotion of your profile on our social media platforms, helping you connect with more clients.
• Meaningful Career: With the growing demand for special needs education (SEN) in Singapore, this is your opportunity to gain valuable experience and build a meaningful career helping students with unique needs.
• Additional Income Opportunity: Take on assignments that fit your schedule and preferences to earn extra income in your free time, or choose full-time opportunities for more consistent earnings!

Compensation:

• Part-Time Tutor: Up to $60/hr
• Full-Time Tutor: Up to $90/hr
• Early Childhood Educator: Up to $70/hr
• MOE/Special Ed Tutor: Up to $140/hr
• Enrichment Specialist (dance, art, swimming, etc.): Up to $120-150 per session
• Therapist (speech, occupational, physiotherapy, etc.):Up to $200-220/hr
• Psychologist: Up to $250/hr
• Counsellor: Up to $150/hr

If you’re passionate about education and want to make a difference in the lives of students with learning or special needs, join us at Special Minds. Together, we can create a brighter future for every child.

APPLY HERE: https://portal.specialminds.com.sg/?type=service_professional

For more information, please visit us at: https://specialminds.com.sg/

If you have further queries, please email us at hello@specialminds.com.sg, or contact us at 8721 8722.

As an educator specialist with learning support, you play a vital role in providing early intervention to children, helping them thrive in their learning and development.

• Observe and assess children's needs and evaluate on their progress
• Prepare individual lesson plans for each child who needs learning support
• Conduct lesson with activity that focus on learning domains
• Provide support and share strategies with educators
• Lead training session for educators and parents to enhance learning for the children
• Collaborate with parents and teachers to support development milestone
• Evaluate developmental screenings and learning outcomes
• Build and maintain partnerships with agencies, hospital and therapy centers

Job Requirements:

• Specialist Diploma in Early Childhood Learning Support or equivalent
• Min 2 years experience in Early Childhood Industry and relevant working experience in early intervention

Check out www.abercare.sg for more details.

Interested applicants may send in your resume to career@abercare.sg

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504

Job Summary

The Network Infrastructure & Security Engineer will be responsible for the design, deployment, operation, and optimization of our network infrastructure, including routers, switches and firewalls. This includes supporting external vendors to deploy network assets and taking over control and maintenance from vendors from day 2 onwards. The role shall also be responsible for developing, implementing and maintaining cybersecurity policies and controls to protect systems and data from evolving threats. A strong understanding of networking principles, cybersecurity frameworks, and a passion for staying ahead of emerging threats are essential.

Solution Sourcing and Strategy

• Research, evaluate, and recommend new cybersecurity and network solutions to enhance our security posture and network capabilities.
• Conduct market analysis to identify emerging technologies, vendors, and best practices relevant to our infrastructure and security needs.
• Develop business cases and justifications for new solution procurements.

Vendor Management & Solution Deployment Oversight

• Manage and coordinate with external vendors throughout the lifecycle of solution deployment, from selection to post implementation review.
• Review and validate vendor provided designs, configurations, and implementation plans to ensure alignment with organizational security policies and network architecture standards.
• Oversee the successful integration of new solutions into the existing infrastructure.

Post Deployment Maintenance & Operations

• Perform ongoing maintenance, configuration, and optimization of network devices (routers, switches, firewalls, load balancers) and security systems (IDS/IPS, SIEM, EDR, antimalware, vulnerability scanners).
• Monitor network and system activity for suspicious behavior, security incidents, and unauthorized access, taking prompt action as needed.
• Conduct regular vulnerability assessments, penetration testing, and security audits to identify and address weaknesses post deployment.
• Develop and implement incident response plans, leading efforts to contain, eradicate, and recover from cyberattacks.
• Manage and maintain identity and access management (IAM) solutions.

Security Policy and Compliance

• Develop, implement, and enforce cybersecurity policies, standards, and procedures.
• Ensure compliance with relevant industry regulations and frameworks (e.g., GDPR, HIPAA, ISO 27001).
• Conduct regular security awareness training for employees.

Troubleshooting and Documentation

• Diagnose and resolve complex network and security issues efficiently.
• Perform regular system updates, patching, and configuration management for network and security devices.
• Maintain detailed documentation of network configurations, security policies, and incident response procedures.

Collaboration and Continuous Improvement

• Collaborate with IT teams, developers, and other stakeholders to integrate security into all aspects of the infrastructure and software development lifecycle.
• Stay up to date with the latest cybersecurity threats, technologies, and best practices.

Job Requirements:

• Bachelor degree in Computer Science, Information Technology, Cybersecurity, Network Engineering, or a related field.
• Proven experience (3 to 5 years) in a cybersecurity and/or network engineering role, with a strong emphasis on solution sourcing, vendor management, and post deployment operational maintenance.
• Hands-on network administration experience is required, including configuration, maintenance, and troubleshooting of enterprise routers and switches
• Hands on experience with network devices (e.g., Cisco, Juniper, Fortinet, Palo Alto) and various security tools.
• Strong understanding of TCP/IP, routing protocols (BGP, ISIS, OSPF), VLANs, VPNs, and wireless technologies.
• Proficiency in configuring and managing firewalls, IDS/IPS, and other security appliances.
• Knowledge of common attack vectors, security vulnerabilities, and defensive strategies.
• Familiarity with scripting languages (e.g., Python, PowerShell) for automation and security tasks.
• Experience with operating systems (Windows, Linux, UNIX).
• Understanding of cryptography and secure communication protocols.
• Excellent analytical and problem solving skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non technical stakeholders, and effectively liaise with and manage external vendors.
• Ability to work independently and as part of a team in a fast paced environment.
• Detail oriented and highly organized.
• Proactive and eager to learn new technologies.

Certifications (Highly Valued):

• CompTIA Security+
• CompTIA CySA+
•  (ISC)² CISSP (Certified Information Systems Security Professional)
• Cisco CCNA, CCNP Security, or CCIE Security
• Certified Ethical Hacker (CEH)

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.

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

Job Description

The National Quantum Federated Foundry (NQFF) is seeking a research engineer to join a multidisciplinary team developing essential quantum hardware and device components. The candidate will join our efforts spanning multiple quantum technology platforms ranging from trapped ions to integrated photonics and superconducting devices.

About the role

You will be embedded in a team of research scientists and engineers, contributing hands-on to the development and characterisation of quantum hardware. Based on your strengths and experience, your work will be shaped around one or more of the following focus areas:

• Device Fabrication & Engineering — Perform device fabrication and support the development and optimisation of the processes: this may include cleanroom-based nanofabrication work, electrical assembly (wirebonding, soldering, etc), and prototyping (machining, 3D printing, etc).
• Optical & Photonics Engineering — Perform optical & electrical characterization of photonics devices; construct and maintain optical measurement setups for device testing; data analysis and feedback towards improved device designs.
• Cryogenic Systems & Measurements — Set up, operate, and maintain cryogenic systems (incl. dilution refrigerators, cryostats); integrate and test quantum devices at (down to) millikelvin temperatures; develop automated testing workflows, acquire and analyse experimental data.

What we’re looking for:

• Bachelor’s degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or a related discipline.
• Hands-on laboratory experience relevant to one or more of the focus areas above
• Familiarity with experimental data acquisition, analysis, and presentation
• Strong communication skills and a collaborative working style

Experience in any of the following would set you apart:

• Optical setups and laser systems
• Electrical/RF electronics and associated test equipment
• Cleanroom nanofabrication
• Mechanical design with CAD software
• Programming (especially in Python) lab equipment for testing automation

About NQFF:

The National Quantum Federated Foundry (NQFF) is a national quantum programme supporting Singapore's quantum R&D ecosystem and industry partners. Functioning as a research foundry, NQFF covers the full device development cycle — from design to fabrication and characterisation — with the goal of translating next-generation quantum devices towards real-world applications.

NQFF is hosted at A*STAR IMRE, with teams operating across A*STAR IME and the National University of Singapore (NUS).

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.

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

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

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

Key Responsibilities:

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

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

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

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

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

Job Requirements:

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

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

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

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

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

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

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

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

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

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

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

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-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32616-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32621-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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-%28Gen-AI%29/32619-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

R&D Specialist 

Location: Tuas, Company Transport / Transport Allowance $120 if candidate possess own vehicle to work

Basic: $5000 to $5500

Working hours: Monday to Friday (8am to 5pm)

Requirements

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experiences in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry.

Responsibilities

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.
• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.
• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.
• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).
• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.
• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.
• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.
• Support evaluation and development of handling procedures for high-risk and high-value waste streams.
• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.
• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

Interested applicants kindly submit your resume through here and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Responsibilities:

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.
• Mentor junior engineers in the standardization process and technical writing.

Requirements:

• MS or PhD in Electrical Engineering, Communication Engineering or related field.
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).
• Strong experience in submitting and defending proposals in international standardization bodies.
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record and with 8 years relevant industry experience, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

Interested candidates may apply through the application system. We regret that only shortlisted candidates will be notified.

PERSOL Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 • EA Registration No. R22111378 (Ong Xin Yee)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.co.... You acknowledge that you have read, understood, and agree with the Privacy Policy. 

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-%28LWIR-Perception-&-UAV-State-Estimation%29/32576-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments.

The Research Engineer will design and implement LWIR-based odometry and thermal-inertial state estimation frameworks, including multi-sensor fusion with IMU and other onboard sensors. The work will involve both model-based approaches (e.g., filtering and optimization-based estimation) and learning-enhanced methods for improving robustness and generalization across environments.

The candidate will also be responsible for system integration and real-world deployment on UAV platforms, including embedded implementation, sensor calibration, and experimental validation in both indoor and outdoor scenarios. The developed methods will be evaluated in realistic navigation tasks under challenging environmental conditions.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidate should have a Bachelor’s degree from a reputable university, with expertise in robot perception, state estimation, or aerial robotics.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), along with demonstrated experience in state estimation, odometry, or SLAM systems, particularly in robotics applications.  

Qualifications

•    Possess min a Bachelor’s degree in Computer Engineering/Science or related disciplines (e.g., Electrical Engineering, Mechanical Engineering, Mathematics).
•    Have research experience in robot perception, state estimation, SLAM, or sensor fusion.
•    Experience with thermal (LWIR) imaging, event cameras, or other non-RGB sensing modalities is highly preferred.
•    Familiar with visual-inertial odometry (VIO), thermal-inertial odometry, or multi-sensor fusion frameworks.
•    Knowledge of state estimation techniques, including EKF, UKF, factor graph optimization, or moving horizon estimation (MHE).
•    Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus.
•    Proficient in C++ or Python; experience with ROS and real-time robotic systems.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience in sensor calibration (intrinsic/extrinsic) and time synchronization is desirable.
•    Strong analytical and problem-solving skills, demonstrated through relevant publications or projects.
•    Ability to deploy algorithms on embedded platforms (e.g., NVIDIA Jetson) is a plus.
•    Excellent communication skills for publishing and presenting research outcomes.
•    Experience in world-class research environments is highly valued. 
•    Open to Fixed Term contract 

Responsibilities

• Responsible for operations, maintenance, engineering aspects of Instrumentation & Control (ELV) systems and insfrastructure. 
• Manage daily operations to ensure systems are operating in optimal conditions.
• Respond to and perform troubleshooting for all system failures or deficiencies.
• Respond to Issues, Complaints and Queries in a timely fashion, keeping relevant stakeholders abreast.
• Plan and manage maintenance activities in accordance to OEM or regulatory requirements.
• Manage vendors/contractors on outsourced services to meet the fulfillment of contract terms and agreement.
• Involvement in facilities related projects such as Facilities Upgrading, Improvement Projects and Tool Hook-Up. Close liaison with consultants, authorities, contractors, stakeholders and etc to ensure seamless and timely completion of projects.
• Prepare RFQ / tender documents for all purchase requests.
• Compliance to EHS and regulatory requirements for all activities carried out.
• Active contribution in energy conservation program and initiatives.

Qualifications and work experiences

• An engineering degree. Diploma / ITE cert holders with many years of relevant working experience may be considered too.
• Min. 3 years of relevant work experience preferably in a wafer-fab or similar industry.
• Good experience in electrical, ELV and building automation systems.
• Project management skills; Familiar with government procurement policies and procedures is a major plus
• Good working knowledge on other facilities for e.g. HVAC, mechanical systems typical in a wafer-fab is a plus.
• Familiar with the local codes from BCA, URA, SCDF/FSB, NEA and other statutory requirements
• Analytical skills to trouble-shoot basic facilities systems.
• Able to work independently

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.

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 1 month temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred

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-%28Wave-Overtopping%29/32491-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position supports Work Package 1 (WP1) experimental studies of wave overtopping over Singapore-relevant coastal protection structures for local design guidance.

The successful candidate will be required to:

•     Conduct scaled physical model tests at NUS for revetments, promenades, and vertical walls
•     Measure and analyse q, Vmax, flow depth/velocity, crest pressures, and related loads; quantify uncertainty; and derive local   empirical relationships aligned with EurOtop
•     Support WP1 reports/publications and provide validation data and hydraulic inputs to other work packages.

Job Requirements

•    Possess at least a bachelor’s degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Mechanical Engineering, or a closely related discipline.
•    Masters degree will be preferred. 
•    Strong background in physical modelling of coastal/free-surface flows or wave-structure interaction.
•    Experience with hydraulic laboratory experiments, instrumentation, and data analysis.
•    Proficiency in Python, MATLAB, or similar; prior wave overtopping/coastal structures experience is advantageous.
•    Has prior strong publication records and independence.
•    Excellent written and verbal communication skills.
•    Open to fixed-term contract.  

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Digital-Concrete%29/32504-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The RE is required to work on:
(1) Development of durable construction materials from locally available resources for marine applications.
(2) Assessment of environmental impact of the developed concrete mixture.
(3) Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

·     Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment. 
•    Ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings. 
•    Strong written and spoken communication skills. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Open to fixed-term contract. 
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

Responsibilities

• Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).
• Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.
• Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.
• Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.
• Participate in preparing project deliverables, proposals, and publications under funded research programmes.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor/Master in Naval Architecture, Maritime Engineering, or related field.
• Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.
• Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.
• Strong analytical ability, creativity, and interest in real-world R&D challenges.
• Good teamwork and communication skills to engage with multidisciplinary stakeholders.
• Independent, resourceful, and able to deliver under tight schedules.

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.

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-%28Environmental-Microbiology-and-Biotechnology%29/32492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for a highly motivated and collaborative Research Engineer with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The position involves developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors in lab and pilot scale. The selected Research Engineer will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

•    Possess a bachelor’s degree in environmental engineering.
•    Master’s degree is preferred. 
•    At least 3 years’ of relevant working experience  
•    Prior research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis; 
•    Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
•    Independent, motivated, resourceful and able to work in a team.
•    Strong written and spoken communication skills. 
•    Excellent quantitative, writing, and presentation skills.
•    Experience in publishing peer-reviewed publications.
•    Demonstrated ability to direct and run independent research project(s).
Experience collaborating with industrial teams.
•    Open to fixed-term contract 

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-%28LLM-for-Construction-Safety%29/32519-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
•    Evidence of strong publication record in top academic journals
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Familiarity working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required
•    Strong written and oral communication skills.
•    Open to fixed-term contract

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-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.