Total 151 Education / Training job vacancies

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

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

For more details, please view https://earthobservatory.sg/

We are looking for a Research Assistant to support interdisciplinary research on Singapore’s coastal ecosystems. The role focuses on field, laboratory, and analytical work to evaluate the capacity of mangrove and coral reef systems to provide sustained protection under climate stress, including sea-level rise and marine heatwaves.

Key Responsibilities:

• Conduct fieldwork in mangrove and coral reef environments, including sediment core collection and ecological surveys

• Perform sedimentological, palaeoecological (pollen), and geochemical analyses (e.g., TOC, carbonate)

• Deploy and maintain environmental sensors (e.g., temperature loggers) and analyse associated datasets

• Apply microscopy and GIS-based spatial analysis for habitat mapping and data interpretation

• Support data analysis, scientific reporting, and manuscript preparation

• Assist with project logistics, procurement, and coordination of field and lab activities

Job Requirements:

• Bachelor’s degree in Environmental Science, Geoscience, Marine Science, or related field

• Experience in field and laboratory work in coastal or marine environments

• Familiarity with sediment analysis, palaeoecology, or geochemical techniques preferred

• Proficiency in GIS and/or data analysis tools (e.g., R, Python)

• Strong organisational, communication, and teamwork skills; ability to work in challenging field conditions

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

We regret to inform 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.

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.

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

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.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

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

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

Job Description:

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

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

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

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

Job Requirements:

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

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

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

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

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

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.

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.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• 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.

#LI-JN2

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-Fellow-%28Soft-Electronics-and-Wearable-Systems%29%2C-DID/32490-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our lab in exploring the design, development, and applications of intelligent textiles and soft electronics. Our research integrates material science, digital fabrication, hardware systems, artificial intelligence, and computational design to advance smart textiles and wearable systems for various applications, including health and well-being, human-computer interaction, robotics, interactive media, and immersive environments. 

We are looking for candidates specializing in the following topics:

Soft/Textile Electronics
•    Research and develop flexible and soft electronics for integration into textiles, wearables, and electronic skin, including tactile sensors, actuation, and haptic devices.
•    Advance digital knitting, weaving, embroidery, sewing, and other textile-based fabrication techniques.
•    Characterize and evaluate electromechanical properties of soft systems.
•    Use simulation tools for design and modeling.
•    Implement and test developed devices for various applications.

Embedded Systems & Hardware Development
•    Design and develop miniaturized hardware systems for seamless integration of sensors, actuators/haptics, and computing into textiles and wearables.
•    Develop and optimize embedded systems, including firmware development.
•    Implement and test wireless and wired communication for distributed networks.
•    Apply AI/ML and deep learning techniques for analyzing dense multimodal data in real time.
•    Integrate system-level solutions for interfacing with computers, smartphones, or AR/VR technologies.

Candidates with expertise spanning both topics are highly encouraged to apply. They will collaborate across art, design, science, and engineering disciplines, contributing to cutting-edge prototypes, installations, performances, and innovations that bridge human, material, machine, and environment at various scales, from body to architecture, individual to societal.

How to Apply
Interested applicants should submit the following:
•    A cover letter outlining their interest in the position.
•    A CV detailing academic and professional history.
•    A portfolio showcasing relevant projects.
•    Contact details of at least two professional references.

Qualifications

Qualifications
Candidates should hold a Ph.D. in a relevant engineering and design field (electrical engineering, computer science, mechanical engineering, material science, industrial design, media arts) and meet some of the qualifications based on their specialization:
•    Experience in soft electronics, printed electronics, or flexible hybrid electronics or textile-based integration (knitting, weaving, embroidery, etc.).
•    Proficiency in soft device simulation and characterization.
•    Strong programming skills in C/C++, C#, Python, microcontroller, or AR/VR development.
•    Proficiency in PCB design tools and experience in miniaturized hardware design and wireless system integration.
•    Background in AI/ML for generative design, data analysis, or pattern recognition.
•    A great portfolio and publication record in areas related to soft technologies, human-computer interaction, wearable computing, or immersive environments.

Attributes
•    Independent, creative, and motivated with an interest for unconventional and experimental applications. Passionate in merging functionality with aesthetic sensibility.
•    Strong problem-solving skills, attention to detail, and ability to work collaboratively within a multidisciplinary team.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Design and integrate databases with user interfaces and dashboards within cloud computing environments.

• To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery.

• To develop interactive dashboards and user interfaces to visualize model outputs, data insights.

• Collaborated with research teams in continuously improving system performance through experimentation and AI model training and finetuning.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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 conduct research on automatically analyzing Android applications and summarizing systems logs.
• Responsible for designing and implementing graphical user interfaces for various systems in this project, including the system for analyzing Android applications, the system for monitoring Android application executions, the website showcasing various project outputs, etc.
• Assist in developing the corresponding Android applications.
• Design, implement, and evaluate the user interfaces of various system components.
• Modify and improve existing systems that perform analysis on Android applications.
• Other duties as assigned.

• Minimum Bachelor's degree in computer science, information technology, information systems, or closely related disciplines.
• Masters degree is a plus.
• Good communication skills in English.
• Past research experience in computer security and software engineering is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Applicants with research publications in security area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2