Total 167 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-%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.

Why You’ll Love This Role

The candidate will work together with a multidisciplinary research team to develop novel optoelectronic nanoscale devices and develop on-demand light-matter interaction technology.

What You’ll Do

• Strong publication track record
• Strong foundation knowledge in optics/phase change materials/optoelectronics
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills.
• Good team player
• Excellent oral and written communication skills
• Prior experience with fabrication or manufacturing of optical elements or devices will be an advantage.
• Experience in FDTD or COMSOL for optics simulation will be an advantage.

Who We Are Looking For

• A PhD degree in physics/optics, materials science, and electrical and electronic engineering;

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.

We have an openings for Research Fellow position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:
The Research Fellow (RF) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. The RF will be involved in projects with (1) a large NRF-funded CREATE program in collaboration with NTU and the Hebrew University of Jerusalem, and (2) the Port of Singapore.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Motion and path planning for a variety of industrial grasping applications
• Robot Navigation and obstacle avoidance using multi-modal sensor feedbak
• Design and run manipulation and grasping experiments in both laboratory environments and real application
  environments

Key requirements:
• A Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with Simulation Tools (Isaac Sim, Gazebo, etc)
• Experience with SolidWorks
• Experience with Vision systems
• Familiarity with Soft Robotics and Additive Manufacturing processes is a plus but not a requirement

We are seeking a detail-oriented and organised Learning Design & Course Development Executive to support a project team in the development and maintenance of learning materials and project documentation. The role focuses on instructional support, content preparation, and coordination to enable effective course delivery and project execution.

Key Responsibilities

• Support the development of course materials, learning resources, and related documentation in collaboration with the project team
• Review, organise, and update learning content to ensure accuracy, consistency, and readiness for use
• Format and quality-check learning and assessment materials to maintain clarity and alignment with requirements
• Assist in the development of digital learning content and basic multimedia resources where required
• Coordinate meetings, document discussions, and track follow-up actions to support project execution
• Maintain project records, documentation, and version control
• Support data collation, basic analysis, and administrative tracking for reporting purposes
• Manage and update course content using a learning management system from an end-user perspective (e.g., upload, organise, and maintain materials)
• Perform general administrative duties as required to support the team

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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-%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.

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

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

Job Description

• 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.

Job 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, 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 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-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English. 

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-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

Nanyang Academy of Fine Arts (NAFA), University of the Arts Singapore, an esteemed arts institution with a global reputation seeks an Adjunct Lecturer (Design Thinking and Application), Centre for Lifelong Education at the Centre for Lifelong Education (CLE).

Established in 2005, NAFA’s Centre for Lifelong Education is Singapore’s leading institute for continuing education and training in arts, design and media. Its courses offer opportunities to upskill, reskill and develop new hobbies, through our short courses and certificate courses.

Main Roles and Responsibilities

1. Undertake contact/teaching hours per week in one of the following unit(s)/component(s):

• Design Thinking and Application

2. Design, prepare and develop documents such as lesson plans and assessment descriptors as well as teaching resources/materials

3. Plan and supervise a variety of activities such as projects, productions, collaborations, etc.

4. Supervise and assess students’ assignments/works/projects

5. Prepare and maintain records relating to students’ progress, performance, and attendance

6. Contribute to the review of the assigned unit(s)/component(s)

7. Mentor and provide academic care and support, including career guidance to students

8. Keep up to date on the development of discipline related teaching practices and learning strategies

9. Perform any other duties that may be assigned from time to time

Requirements

1. Minimum Degree, or related discipline

2. WSQ Advance Certificate in Training and Assessment (ACTA) or WSQ Advance Certificate in Learning and Performance will be desirable

3. Minimum 5 years of teaching and relevant working experience

4. Ability to teach online via MS Teams, Zoom, Canvas and/or other relevant applications is preferred

5. Positive, enthusiastic, and results-oriented with the ability to engage adult learners

6. Excellent command of written and spoken English

7. A team player with good interpersonal skills

8. Excellent communication skills, problem-solving and analytical skills

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. 

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

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

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

Job duties and responsibilities:

• Design new products and continually improve existing products to meet industry standards and customer requirements.
• Develop technical manuals and Instruction Operating Manuals for products, ensuring accuracy and usability.
• Prepare, review, and verify design drawings, detailed specifications, and fabricated drawings for compliance with technical standards.
• Create Bills of Materials (BOMs) and ensure accurate documentation.
• Order materials and supplies; monitor the progress of fabrication and installation to ensure alignment with design specifications and schedules.
• Perform quality control checks to ensure the integrity of materials, components, and final products.
• Update and maintain design records, project databases, and documentation for traceability and reference.
• Track and coordinate the delivery of goods and materials to meet project timelines.
• Collaborate with cross-functional teams, including procurement, production, and project management, to address technical challenges.
• Provide technical support and guidance to the fabrication and installation teams during project execution.
• Identify opportunities for cost optimization, design innovation, and process improvement.

Job Requirements:

• Degree or Diploma in Mechanical, Precision, Tool, and Die Engineering, or a related field.
• At least 2 years of experience as a Design Engineer.
• Proficiency in drafting software such as AutoCAD, SolidWorks, 3D modeling software, or equivalent.
• Experience in Marine Hydraulic Applications, with knowledge of valves and actuators, as well as gear design (e.g., spur gear, planetary gear, bevel gear).
• Understanding of forging, casting, and precision CNC machining processes.