A Research and Development (R&D) Executive plays a key role in driving innovation and developing new products or processes.

To conduct research, analyze data, and develop solutions to improve existing products and services, or create new ones, ensuring they meet functional (Town Council) needs and regulatory standards.

Responsibilities often include identifying market trends, collaborating with cross-functional teams, and ensuring product development aligns with business objectives.

Key Responsibilities:

• Conduct Research and Analysis:

Identifying market trends, customer needs, and competitive landscapes to inform product development.

• Develop New Products and services:

Conceptualizing, designing, and developing new products or processes from initial ideas to commercialization.

• Improve Existing Products and services:

Conducting research and testing to enhance existing products, improve their performance, and address any issues.

• Collaboration:

Working closely with various teams, including estate department, contract department, and term contractors and Vendors, to ensure development and implementation.

• Regulatory Compliance:

Ensuring that all products and processes comply with relevant regulations and standards.

• Innovation:

Staying up-to-date with the latest technologies and trends in their field and using this knowledge to drive innovation.

• Implementation:

Executing with development plans in forms of training, guidance, SOP, and formulating and oversight of projects in related implementations and Improving means.

Job SummaryWe are seeking a Vice President of AI Research and Development tolead the design, architecture, and development of enterprise-gradeAI Agent platforms. The role focuses on building intelligentautomation solutions that enable organizations to create,orchestrate, and deploy autonomous AI Agents, addressing keyenterprise challenges in AI adoption, governance, and operationalefficiency.### Key Responsibilities#### Strategic Leadership & Platform Development- Plan and lead the overall architecture, design, and end-to-enddevelopment of enterprise AI Agent platforms (Intelligent AgentCloud Platforms).- Oversee the creation, orchestration, and deployment of autonomousintelligent agents capable of executing complex business workflows.- Drive the development of modular and scalable AI Agent frameworksthat support both individual and multi-agent collective intelligencesystems.#### Core Platform Features- Lead the unified integration of multiple AI models (commercial andproprietary) into a centralized platform, including centralizedmanagement of computing resources, data pipelines, and digitalworkforce capabilities.- Develop tools that enable business users to transform standardoperating procedures (SOPs) into reusable, production-ready AIAgents with minimal technical expertise.- Build advanced platform capabilities for comprehensive AI assetvisibility, including real-time Token-level consumption tracking,ROI analytics, and enterprise-wide AI adoption reporting.#### Deployment & Technical Excellence- Design and implement flexible, secure deployment architecturescovering public cloud infrastructure and on-premise/edge terminalsolutions (including compact edge devices).- Ensure platform robustness in the areas of scalability,reliability, data privacy, security, and regulatory compliance.- Lead continuous optimization of AI Agent performance, multi-agentcoordination, and system integration with external tools, APIs, andenterprise systems.#### Team Leadership & Innovation- Provide senior technical leadership and mentorship to the AI R&Dteam, fostering a culture of innovation and engineering excellence.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Collaborate closely with cross-functional teams (business,product, engineering, and operations) to align AI Agent platformcapabilities with strategic business objectives.- Drive innovation in intelligent automation to deliver measurablebusiness impact through production-grade AI solutions.### Requirements#### Qualifications- Bachelor’s degree or higher in Computer Science, InformationTechnology, Artificial Intelligence, or a closely related technicalfield.- Over 5 years of hands-on experience in AI research anddevelopment, with proven track record in building and scalingenterprise AI platforms or intelligent automation systems.#### Technical Expertise- Strong experience in AI Agent platform architecture, modelintegration and orchestration, agentic workflows, and multi-agentsystems.- Deep understanding of enterprise AI governance, data privacy,Token-level resource management, and deployment strategies (cloud +edge).- Proficiency in relevant technologies and frameworks for buildingscalable AI systems (Python ecosystem and modern AI developmenttools).#### Leadership & Soft Skills- Demonstrated leadership in guiding technical teams through complexAI platform development projects.- Excellent problem-solving, communication, and cross-functionalcollaboration skills.- Ability to translate complex technical concepts into businessvalue and strategic roadmaps.- Experience working in fast-paced, dynamic environments with afocus on delivering production-ready solutions.### What We Offer- Opportunity to lead cutting-edge AI Agent platform initiatives ina growing organization.- Competitive compensation package with fixed monthly salary.- Chance to contribute to enterprise AI transformation in Singaporeand the region

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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-%28Mechatronics-Engineering%29/32313-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated and passionate research engineer to work on a funded research project that investigates the development of personalized cooling systems leveraging thermoelectric cooling technology. The aim of the research is to design a personalized cooling device for mixed-mode ventilation and natural ventilation environments in the tropics.  The successful applicant will be supervised by the principal investigator Dr. Adrian Chong from the Department of the Built Environment, College of Design and Engineering, National University of Singapore.

•    Work closely with team members from thermal, fluid  and material engineering background to setup sensors and prototype the device.
•    Setup PID for fans and pumps to respond for changes and optimize electric power consumption for increasing the efficiency of the device on a component level and the overall system.
•    Conduct parametric experiments to evaluate system behavior under varying operational conditions, including power supply constraints, ambient temperatures, and human-machine interface factors.
•    Develop PCB for the device.
•    Document project progress in technical reports, presentations, and peer-reviewed publications.
•    Collaborate with cross-functional teams, including mechanical, materials, and Fluid mechanics engineers, and potentially external industry partners.
•    Organize, analyze and publish research in peer-reviewed scientific journals.
•    Perform other duties as assigned.

Job Requirements

Qualifications and Skills:

•    Bachelor’s or Master’ Degree in Electrical Engineering, Mechatronics, Control Systems, or related field
•    Strong experience with LabVIEW software (or any open source alternative)
•    Knowledge of data acquisition systems (e.g., NI DAQ hardware)
•    Understanding of control systems theory (PID, system dynamics, feedback control)
•    Experience with sensor integration and instrumentation (Velocity, temperature, pressure, electric power measurements)
•    Ability to analyze, interpret and present experimental data
Strong problem-solving and troubleshooting skills

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-%28Zoonotic-Pathogen%29/32317-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer will be involved in field sampling as well as laboratory analysis of pathogens and indicators. The data will be used to develop computer models for risk assessment. In addition to the above, the Research Engineer is expected to contribute actively in writing reports and research papers, presenting research updates and liaising with external parties.

Job Requirements

•    A recognised degree in bachelor’s in environmental engineering, Microbiology, or equivalent.
•    Experience in microbiological analysis/water quality analysis and environmental engineering is preferred.  
•    Good written and spoken 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-%28IC-Designer%29/32340-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the Architectures and circuits for pervasive 5G silicon chip connectivity with end-to-end system millimeter scale and 1,000X reduction in radio power consumption project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    Develop innovative circuit architectures for research projects and performing transistor-level design, simulation, and layout of analog, digital blocks and mixed-signal using industry-standard EDA tools.

•    Drive the silicon chip design through the full tape-out flow, including pre-layout and post-layout simulations, physical verification (DRC/LVS), and parasitic extraction.

•    Develop test plans, designing PCB test boards, and performing detailed silicon characterization and debugging using lab equipment.

•    Authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.

•    Managing technical milestones for the project and providing technical guidance to PhD and Master's students within the group.

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:
•    Min 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.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated ML Research Engineer to join our AI Product group. The ideal candidate is passionate about AI and has a strong foundation in machine learning, deep learning, and large language or vision-language models.

This role offers an exciting opportunity to learn from experienced researchers, contribute to cutting-edge AI research, and help drive innovation in our enterprise grade video intelligence solutions. 

Responsibilities

• Implement solutions using advanced large language models (LLMs) or vision language models (VLMs) to address real-world challenges.
• Design and develop agentic AI systems using structured, multi-step workflows to solve complex tasks autonomously.
• Conduct rigorous experiments to validate models and tasks, including data preparation, ensuring reliability and performance.
• Develop prototypes and proof-of-concept systems to validate innovative ideas.
• Collaborate with cross-functional teams (product, engineering, and business) to translate research into production-ready solutions.
• Deliver research projects on time with a strong focus on practical, measurable business impact.

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science/Engineering, Mathematics, or a related field.
• Strong foundation in deep learning fundamentals, including optimization methods, loss functions, model architectures, and training dynamics.
• Hands-on experience with transformer-based models in either computer vision or NLP domains.
• Familiarity with the latest research trends and developments in AI.
• Solid programming skills, with a strong grasp of data structures and algorithms.
• Strong analytical and problem-solving skills, a solid foundation in logical reasoning, and effective communication and teamwork.

Preferred Qualifications

• Master’s degree or higher; a PhD is a strong plus.
• High-impact publications in top-tier AI conferences or journals (e.g., ICML, NeurIPS, ICLR, TPAMI, CVPR, ICCV, ECCV, ACL, EMNLP, ICRA).
• Knowledgeable in transfer learning strategies, including fine-tuning and distillation of foundation models for downstream applications
• Exposure to any other machine learning domains such as reinforcement learning, edge AI, speech recognition, diffusion models, robotics learning, recommender systems, time-series forecasting or related areas

Personal Competencies

• Innovative, motivated, and a quick learner with a passion for solving complex technical challenges.
• Strong communication and teamwork skills, with the ability to work effectively in small, agile teams.
• A high degree of ownership and attention to detail, with a commitment to delivering robust and high-quality software solutions.
• Adaptable and open to learning new technologies and processes

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates who are only based in Singapore

Job Type: Full-time

Benefits:

• Health insurance

Roles & Responsibilities

Job Description

• Deliver engaging theoretical and practical training aligned with CAAS standards.
• Lead flight demonstrations and practical assessments at training sites.
• Provide clear instruction on drone safety, flight planning, airspace classification, meteorology, and emergency procedures.
• Adapt training methods to suit individual learning styles and skill levels.
• Evaluate trainee performance and provide detailed feedback and guidance.
• Assist in updating training materials and ensuring course content remains current with evolving drone regulations and technology.
• Maintain accurate student records, reports, and certification tracking.
• Assist Head of Training to ensure successful yearly renewal of UATO & UABTO statuses
• Explore and if capable, take on other training roles within the company.

Requirements

• Certified drone piloting licence - UAPL cert with no limitations category is preferable.
• Experience delivering structured drone training or relevant training is useful.
• Understanding of aviation law, safety protocols and regulations is useful.
• Strong communication, facilitation, and interpersonal skills.
• Comfortable working outdoors in varied conditions for practical sessions.
• Willing to work selected week nights and alternate weekends for training classes.
• Location: Shan Road

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-%28Catalyst-Development%29/32289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The staff would support at least one project under the supervision of the Principal Investigator (PI). The scope of the project is on catalyst development for fuel conversion. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge. The staff will need to draft manuscripts and attend conferences to publicise the project findings. The staff will need to support other team members.

Qualifications

A well-qualified candidate should:

• Possess a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
• Be passionate about research;
• Be an expert of catalyst development;
• Possess strong spoken and written communication skills at professional level;
• Be a good team player;
• Excellent publication record in related areas.

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-%28Catalyst-Development%29/32288-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The staff would support at least one project under the supervision of the Principal Investigator (PI). The scope of the project is on catalyst development for fuel conversion. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge. The staff will need to draft manuscripts and attend conferences to publicise the project findings. The staff will need to support other team members.

Qualifications

A well-qualified candidate should:

• Possess a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
• Be passionate about research;
• Be an expert of catalyst development;
• Possess strong spoken and written communication skills at professional level;
• Be a good team player;
• Excellent publication record in related areas.

ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on a 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. As a Research Engineer II at ERI@N, you will be at the forefront of our microgrid technology and clean energy solution development efforts, responsible for designing, testing, power and energy management systems.

Key Responsibilities:

• Design, operate and maintain the megawatt (MW) scale NTU grid testbed and support the core team in integrating new renewable energy assets such as solar inverters and battery ESS

• Review detailed electrical power systems drawings submitted by contractors and ensure safe and reliable operation of the testbed

• Manage the electrical maintenance contract of the NTU testbed and liaise with Licensed Electrical Workers or qualified practitioners on topics that involve 400V/6.6kV MW-scale distribution network

• Lead the necessary measures to maintain and improve the overall electrical system safety of the testbed

• Regularly supervise contractors at project sites in order to meet regulatory and compliance requirements.

• Literary contribution on smartgrid related proposals, industry partnerships and manage the project progress timeline, milestones and deliverables.

• Carry out field/site activities at located both in NTU and out of it as required.

Job Requirements:

• Bachelor’s/Master’s degree in electrical/power engineering with specialization in power systems or power electronics

• 3-5 years of relevant experiences in similar role / technical hands-on experience.

• Expertise in electrical system design, power / load flow analysis tools such as ETAP, PSCAD, Power Factory etc.

• Proficiency with Singapore Standard Code of Practices for electrical installations, solar inverters, ESS and EV chargers

• Sound knowledge of smartgrid automation systems, grid services, DER management and operational methodologies.

• Experience in site supervision & contract works related to electric utility industry, preferably in the area of distribution system network, power system protection & switchgear (ABB, Schneider).

• Prior experience in dealing with government agencies regarding the electrical installation licensing for solar, ESS, Diesel Storage and Hydrogen Storage.

• Experience in troubleshooting, isolation and resolution of electrical system issues

• Modeling skillsets with hardware/software in the loop such RTDS, Opal/RT and Homer is a bonus.

• An effective team player with good written, communication & presentation skills.

• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills.

We regret to inform 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

You will be part of a dynamic research team working on topics relevant to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a project on sustainable hydronic cooling system

Key Responsibilities:

• You will need to actively support SBE projects at ERI@N in terms of project R&D, technology evaluation, project coordination, and stakeholder interfacing.

• The role will include the following:

  • Assist in coordination with project partners, industry and other external stakeholders.

  • Lead technical deployment of testbeds and instrumentation for testing and validation of hydronic cooling/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of project testbeds.

  • Lead in preparation and submission of project reports/test reports.

  • Work closely with industry partners to realize synergies in testbeds, site implementation and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.

  • Assist in authoring of technical publications for completed or ongoing research projects.

• You will be an integral part of the SBE team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with district-level cooling systems, green building technology, HVAC systems, sustainable building design, and energy measurement and verification, for built environment applications is preferred.

• Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred

Job Requirements:

• Masters degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design.

• Experience in sustainable design/analysis for the built environment, Green Mark or LEED projects, M&E construction and development (min 2yrs preferred).

• Proficient in MS Office applications, PLC programming, IoT/cloud development, Modelica/Dymola or energy modelling software.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills.

• Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team

• Prior experience in sustainability standards and green building accreditations would be advantageous.

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

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 5 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 2 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 8 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.