Total 1,350 job vacancies in Singapore

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

Electromagnetic Effects Research Laboratory (EMERL) is a DSO/NTU joint research laboratory that conduct cutting-edge research in electromagnetic compatibility (EMC), an area critical to today’s increasingly compact and sophisticated systems.

EMERL is seeking a senior researcher to perform EMI study of submarine cable and develop design guidelines to mitigate EMI, if any.

Key Responsibilities:

• Gather key information and study the impact of HVAC power cables on telecommunications submarine systems.

• Simulate the induced currents and voltages onto HVDC cables of the telecommunications submarine systems.

• Work with the measurement contractor for experimental validation.

• Prepare progress reports.

Job Requirements:

• PhD degree in electrical engineering or related field with at least 5 years of EMC research experience

• Familiarity with EMC standards. 

• Proficiency in electromagnetic simulation tools and measurements.

• Ability to lead the project with excellent organizational and time management skills.

We regret to inform you 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-Fellow-%28Multi-Agent-Strategy-Learning%29/32346-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to the coordination of large teams of autonomous robots (e.g., UAVs) in mixed cooperative-competitive environments. The objective of this position includes contributing to model development, solution, and implementation of such collaborative controllers on actual platforms, first in simulation and then on hardware. The role involves the opportunity to work with the PI’s team within the National University of Singapore, as well as a large industrial partner and government agency, plus overseas collaborators overseas. The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines, with a special focus for multi-agent/-robot systems. The main research tasks for the project include but will not be limited to:

•             Developing robust conventional and learning-based controllers for collaborative control of multi-agent robotic systems in mixed cooperative-competitive environments

•             Designing and implementing controllers in simulation and then on hardware with our partners.

Qualifications

•             Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

•             Literature review/summarizing skills

•             Simulations abilities (especially aerial simulators)

•             Experience with implementation of deep learning model on hardware (in particular, autonomous aerial vehicles)

•             Experience publishing papers, and supervising undergraduate/master’s students

•             Excellent writing/spoken communication skills

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

The laboratory of Yansong Miao invites applications for a Research Fellow to contribute to research in plant agrotechnology. The successful candidate will lead efforts to discover and characterize plant resistance genes using effectoromics approaches in plant–microbe interactions.

This position focuses primarily on experimental biology, including molecular, genetic, and cell biology approaches, with opportunities to integrate computational and multi-omics analyses where relevant. The ideal candidate is a motivated and independent researcher with strong expertise in plant biology and a keen interest in interdisciplinary research.

Key Responsibilities

• Design and execute research to identify and characterize plant resistance genes using effectoromics approaches

• Perform genetic, molecular, and plant pathology assays in plant–microbe interaction systems

• Collaborate with interdisciplinary teams to validate candidate genes and underlying mechanisms

Job Requirements

• PhD in Plant Biology, Molecular Biology, Cell Biology, Biochemistry, or a related field

• At least 5 years of relevant postdoctoral or research experience with strong hands-on expertise

• Solid background in plant immunity, plant–microbe interactions, molecular genetics, or related areas

• Strong experimental skills in molecular biology, genetics, and/or cell biology

• Good written and verbal communication skills, with a track record of scientific publications preferred

• Ability to work independently, manage multiple priorities, and meet project timelines

• Strong organizational skills, attention to detail, and collaborative mindset

The College of Science 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 and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

We seek 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 and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 2 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

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.

Responsibilities:

·       Lead research into state-of-the-art optimization techniques, including Quantization-Aware Training (QAT), Pruning, Knowledge Distillation, and Neural Architecture Search (NAS) to minimize latency.

·       Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously.

·       Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson, TensorRT, FPGAs, or specialized AI accelerators).

·       Develop and manage asynchronous data pipelines that ensure zero-bottleneck performance from image acquisition to "final sentencing" decisions.

·       Establish rigorous performance profiling benchmarks to track model latency and memory footprint across various manufacturing environments.

·       Work with the System Integrator (SI) to ensure that optimized models are seamlessly integrated into the factory-level software stack.

JOB REQUIREMENTS 

·       Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a focus on High-Performance AI.
·       At least 3 years of experience

·       Deep understanding of AI Inference Engines (e.g., TensorRT, ONNX Runtime, OpenVINO).

·       Mastery of Model Compression techniques (Pruning, Quantization, Distillation).

·       Expertise in C++ and Python for high-performance implementation.

·       Hands-on experience with Parallel Computing (CUDA, OpenCL).

·       Familiarity with Mixed-Precision Training and FP16/INT8 deployment.

·       Proven ability to architect end-to-end AI systems that balance the trade-off between throughput, latency, and model precision.

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.

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

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/Senior-ExecutiveAssistant-Manager-%28Research-Administration%29/32338-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

a) Programme and Project Management
• Support the Principal Investigator in the strategic and operational management of a large portfolio of modelling and public health research projects.
• Develop and maintain detailed project plans, timelines, risk registers, and milestone tracking systems across multiple concurrent studies.
• Monitor project progress to ensure deliverables, reporting requirements, and key performance indicators are met.
• Coordinate across modelling teams, data analysts, collaborators, and institutional stakeholders to maintain alignment and momentum.
• Identify operational risks or bottlenecks and proactively implement mitigation strategies.
b) Grant and Financial Management
• Support pre award and post award grant management activities in coordination with institutional research administration units.
• Track project budgets, expenditures, and burn rates across grants to ensure financial compliance and sustainability.
• Prepare financial and progress summaries for the Principal Investigator and funding agencies.
• Assist in the preparation of grant reports, renewals, and new funding applications where required.
c) Stakeholder and Collaboration Management
• Serve as a central coordination point between the Principal Investigator, research team members, institutional offices, and external collaborators.
• Facilitate communication across multi institution and international partners to support complex collaborative projects.
• Organise and manage project meetings, steering committees, and technical working groups, ensuring clear documentation and follow up of action items.
• Support the development and maintenance of collaboration frameworks and data sharing workflows where needed.
d) Research Operations and Delivery Support
• Support the timely production of key research outputs including reports, manuscripts, policy briefs, and technical deliverables by coordinating inputs across team members.
• Maintain organised project documentation, version control, and reporting records aligned with funder and institutional requirements.
• Contribute to continuous improvement of project management systems, particularly for large scale modelling and data intensive programmes.
e) Strategic Growth and Portfolio Development
• Support the Principal Investigator in scaling and coordinating large national and international research initiatives.
• Contribute to the development of new project management structures suitable for complex, multi partner programmes.
• Identify opportunities to strengthen programme efficiency, integration, and external impact.

Qualifications

• Applicants are expected to have at least a Bachelor degree from a recognised institution. Having a scientific background (undergraduate degree in a science discipline) is a plus.
• Preferrably with at least 2 years of experience in an administrative position within academic, research or healthcare sector.
• Candidates with experience in research administration, grant management, agreement review, research ethics, research compliance or database management will be at an advantage.
• A team player with effective problem-solving skills and excellent communication skills to perform well in a fast-paced environment.
• Able to take initiative to learn on the job and manage various responsibilities.
This role is well suited for candidates seeking to build deep expertise in managing large, technically complex research programmes with strong potential progression into senior national and international project management leadership roles.

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 3 years of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We seek a Senior Research Fellow to advance low-temperature Cu/dielectric hybrid bonding for fine-pitch, high-density interconnects by developing and validating a new flow with reliable dielectric sealing under ≤200 °C. The role integrates materials selection, wafer-level process development, and reliability demonstration to deliver a manufacturable 3D-integration solution that supports NTU’s leadership in industry-relevant advanced packaging research.

Key Responsibilities:

• Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration.

• Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact resistance and voids; maintain cleanroom/tool best practices.

• Characterize materials and interfaces using optical/profilometry, SEM/TEM, surface chemistry, and electrical IV; translate data into process improvements.

• Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability.

• Report and collaborate: produce clear technical reports/presentations, coordinate with partners, and maintain rigorous documentation, version control, and safety compliance.

Job Requirements:

• PhD in Materials/ Microelectronics/ EEE/ or related.

• Hands-on semiconductor process development in cleanroom (Cu interconnect/wafer or hybrid bonding; litho/etch/CMP/plasma/anneal).

• Characterization: optical/profilometry, SEM/TEM, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus).

• Strong documentation, safety discipline, and clear communication in English.

• Process integration & optimization; root-cause/failure analysis.

• Reliability mindset (design/interpret thermal & electrical stress tests).

• Collaboration with tool vendors/industry partners; concise reporting; ownership.

We regret to inform you 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/Senior-Scientific-Manager-%28NIRBA-Research-Portfolio%29/32324-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National Initiative for RNA Biology and its Applications (NIRBA) is a pioneering national program dedicated to advancing RNA biology research. Established with support from the National Research Foundation (NRF) under the Prime Minister’s Office, Singapore, we unite experts across multiple disciplines to address critical challenges in RNA science and its applications. 

NIRBA consists of four Innovation Clusters each designed to address a key challenge in RNA biology. In each Cluster, research teams are assembled from across the three NIRBA Partners (NUS, A*STAR and NTU) to address specific scientific questions. These Clusters are supplemented by shorter term Satellite programmes, put in place where a novel knowledge gap or problem arises.

The Senior Scientific Manager (NIRBA Research Portfolio) provides scientific management and programme/ portfolio oversight for NIRBA-funded research. The role ensures that the research portfolio is strategically aligned, scientifically rigorous, and delivering high-impact outcomes.

For more information on NIRBA, visit: https://nirba.sg/

Duties & Responsibilities
Key Personal Responsibilities

• Portfolio Strategy: Manage and shape NIRBA’s research portfolio in alignment with strategic priorities and emerging scientific opportunities.
• Scientific Management: Provide expert guidance on research design, milestones, and deliverables across Clusters and Satellite Labs/ Programmes.
• Research Quality & Impact: Promote excellence, reproducibility, innovation, and translational potential within the research portfolio.
• Reporting & Evaluation: Contribute to scientific reporting for Executive Director, CGT-SC, and other institutional stakeholders
• Collaboration & Integration: Foster cross-project collaboration, data sharing, and alignment with national and international research initiatives.
• Scientific Risk Management: Identify scientific risks and recommend mitigation or course-correction strategies.

Key Team Responsibilities

• Program Management: Monitor progress of Cluster projects, Satellite teams, track performance against KPIs, and support timely delivery of outcomes.
• Funding & Review Processes: Support fund allocations to Clusters and Satellite Labs, competitive grant calls, peer review processes, appropriate fund utilization & outcomes.
• Investigator Engagement: Act as a key scientific liaison with principal investigators and research teams, providing guidance and problem-solving support.

Special Projects

• Undertake special initiatives at the discretion of the ED

Other duties & responsibilities

• Any other duties as assigned by ED

Qualifications

Requirments

• PhD in molecular biology, RNA biology, genetics, biochemistry, genomics, or a closely related field
• Postdoctoral experience strongly preferred
• Supervisory experience
• Experience in grant/ programme management, e.g. budgeting, variation/ virement, progress reporting etc is strongly preferred, ideally from multi-institutional programmatic type grants
• Experience in research management e.g. IRB, MTA, IACUC, GMAC submissions and/ or data governance frameworks etc is preferred
• Excellent writing and reporting ability
• Excellent communication and presentation skills

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

The School of Electrical and Electronic Engineering (EEE) at NTU offers an exceptional research environment for the proposed project. The research will be conducted at the COEB Center (Center for OptoElectronics and Biophotonics) and the Fiber Technology Center. The COEB Center focuses on advanced research in the development of ultrafast fiber lasers and their practical applications. Where the Fiber Technology Center is part of the Photonics Research Institute. This center boasts cutting-edge facilities for various aspects of fiber design and fabrication, including MOCVD, a fiber drawing tower, and a range of fiber characterization equipment.

We are seeking a highly motivated and skilled Research Fellow to join our team in advancing the frontier of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber laser experimentation to study and control complex nonlinear dynamics.

Key Responsibilities:

• Develop and implement Physics-Informed Neural Network (PINN) models to simulate, predict, and analyze complex nonlinear dynamics in optical systems, particularly fiber lasers.

• Design, build, and optimize state-of-the-art fiber laser setups to experimentally investigate nonlinear phenomena such as soliton dynamics, modulation instability, and supercontinuum generation.

• Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes.

• Collaborate with interdisciplinary teams of physicists, engineers, and data scientists within the university and with external partners.

• Analyze, interpret, and present research findings in high-impact scientific journals and at international conferences.

Job Requirements:

• Ph.D. in Electrical Engineering, Physics, Optical Engineering or other related fields.

• Solid Mathematical skills.

• Hands-on experience in designing and building fiber laser cavities for the generation of ultrashort pulses.

• Strong background in nonlinear optics.

• Demonstrated experience in developing and applying AI Learning models, for scientific research.

• A strong publication record is highly desirable.

• The ability to conduct independent research is highly desirable.

• Good written and oral communication skills.

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

Responsibilities:

·       Lead research into state-of-the-art optimization techniques, including Quantization-Aware Training (QAT), Pruning, Knowledge Distillation, and Neural Architecture Search (NAS) to minimize latency.

·       Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously.

·       Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson, TensorRT, FPGAs, or specialized AI accelerators).

·       Develop and manage asynchronous data pipelines that ensure zero-bottleneck performance from image acquisition to "final sentencing" decisions.

·       Establish rigorous performance profiling benchmarks to track model latency and memory footprint across various manufacturing environments.

·       Work with the System Integrator (SI) to ensure that optimized models are seamlessly integrated into the factory-level software stack.

JOB REQUIREMENTS 

·       Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a focus on High-Performance AI.
·       At least 1 year of experience

·       Deep understanding of AI Inference Engines (e.g., TensorRT, ONNX Runtime, OpenVINO).

·       Mastery of Model Compression techniques (Pruning, Quantization, Distillation).

·       Expertise in C++ and Python for high-performance implementation.

·       Hands-on experience with Parallel Computing (CUDA, OpenCL).

·       Familiarity with Mixed-Precision Training and FP16/INT8 deployment.

·       Proven ability to architect end-to-end AI systems that balance the trade-off between throughput, latency, and model precision.

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.

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 1 year of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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.

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 5 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

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.

Head of Deoartment, Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $6000 - $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

MindSpace incorporates some of the best MindChamps enrichment programmes into a complete after-school curriculum for our students, encompassing Maths, English, Science, and Chinese enrichment classes for lower and upper primary school levels.

https://mindspace.mindchamps.org/mindspace-midview-city-bishan/

Join the Best at MindChamps Preschool @ Bishan and MindSpace @ Bishan (Midview City)!

At MindChamps Preschool @ Bishan and MindSpace @ Bishan, we are committed to nurturing young minds with passion, purpose, and excellence.

Our centres have been recognized for their outstanding achievements — MindSpace @ Bishan (Midview City) was awarded Top Performing MindSpace Centre for 2023, and MindChamps Preschool @ Bishan proudly holds the title of Top Performing MindChamps Preschool Centre for 2024.

We are looking for driven and passionate individuals who are dedicated to making a positive impact in the lives of children. If you are enthusiastic about early childhood education or enrichment, and want to be part of a high-performing, supportive, and inspiring team — we’d love to hear from you!

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

Additional Information:

• School's location: Bishan/Ang Mo Kio, 18 Sin Ming Lane Midview City #01-14 Singapore 574960
• Email your resume to staceyhong@mindchamps.org
• Attractive remuneration and staff welfare benefits
• Ample opportunities for Career Progression
• Friendly and Conducive working environment
• Comprehensive HQ training for all teachers!
• Strong Curriculum team and mentorship programs available!
• Company Sponsorships
• Permanent positions

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• 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.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 2 years of experience
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• 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.

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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.

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 10 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.

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• 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.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 5 years of experience
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• 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 Research Professional with expertise in data science and healthcare analytics, and a strong interest in cardiovascular research, statistical modelling, and Artificial Intelligence (AI). You will be part of the data science research team at the National Heart Research Institute Singapore (NHRIS), National Heart Centre of Singapore (NHCS), reporting to the Principal Investigator. The team collaborates with local and global research institutions and multiple industry partners to advance data-driven cardiovascular research through innovative analytical approaches.

You are responsible for the progress of research projects under your care and are expected to demonstrate research expertise and capability in areas such as machine learning, deep learning, and natural language processing applied to healthcare data. You will support the development, integration, and analysis of large-scale healthcare datasets through the national HEALIX platform on SingCLOUD, including data mining, processing, quality assurance, and documentation. Additionally, you will assist the Principal Investigator in leading and supervising junior researchers, collaborate with IT administrators to enhance data pipelines, and be actively involved in research collaborations with partners to identify data-driven research opportunities. The selected candidate will be offered employment on two-year renewable contractual terms.

Requirements:

• Bachelor's/Master's degree in Biostatistics, Applied Statistics, or Epidemiology is preferred. Coursework in Computer Science, Data Science, Biology, or a related quantitative field will also be considered.

• Experience with study design and conventional statistical models

• Good understanding of machine learning, deep learning, and/or NLP concepts and algorithms

• Proficiency in Python and Rprogramming languages

• Knowledge of SQL is preferred

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.