Total 333 Senior Executive level Science / R&D / Research job vacancies

We have a job opening for a Research Assistant position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:

The Research Assistant (RA) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. We are looking for researchers with a passion for design, innovation, addvanced fabrication approaches and keen to work with a multi-disciplinary team.

Responsibilities:

• Mechanism design and prototyping for a variety of industrial grasping applications

• Design and run manipulation and grasping experiments in both laboratory environments and real application environments

Key requirements:

• Bachelors or Masters degree in Mechanical Engineering, Electrical Engineer, Robotics, or related fields
• Experience with Mechanism Design 
• Experience in Additive Manufacturing
• Experience with SolidWorks, Rhino, Grasshopper
• Experience with Embedded systems, Nvidia Jetson, Raspberry Pi, Arduino, ESP32
• Experience with Machine Learning Libraries and Tools: PyTorch, TensorFlow, OpenCV, YOLO

Role Description

You will be playing a pivotal role in advancing semiconductor fabrication automation. You will be responsible for deploying and optimizing automation frameworks, integrating IoT hardware/software, and enabling seamless communication between Autonomous Mobile Robots (AMR), SECS/GEM protocols, Manufacturing Execution Systems (MES), and semiconductor tools.

Responsibilities

• MES Integration & Vendor Coordination: Collaborate with vendors to evaluate, configure, and deploy robust communication systems between MES, tools, and AMR.
• Software Development & Web UI Creation: Design and develop intuitive web-based user interface for seamless user interaction, system monitoring, and operational control.
• Automated Data Analytics & Visualization: Generate automated periodic insights, analytics, reports, visualizations, and alerts to support real-time decision-making processes.
• System Maintenance & Optimization: Conduct periodic data integrity checks, implement automated failure alerts, troubleshoot system issues, and enhance automation frameworks with innovative features for existing and new systems.
• Semiconductor Fab Automation: Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system. Create equipment and operator interface enabling the ease of user entry with digital recording

Requirements

• Degree in Microelectronics/Electrical/Mechanical/Chemical Engineering or equivalent
• Technical Proficiency: Strong programming skills in PHP, JavaScript, Python, or other languages commonly used in web technologies and semiconductor automation.
• Data Analysis & Automation Expertise: Experience in data synthesis, reasoning, and analysis, with a keen ability to develop automation solutions for complex processes. Experience in AMHS (Automated Material Handling System) is a plus.
• Industry Knowledge: Preferably 1-3 years of MES system administration experience in semiconductor process modules, equipment engineering, or digital transformation/ automation.

To apply, please visit www.gmprecruit.com
To learn more about this opportunity, please contact Fiona Koh at fiona.koh@gmprecruit.com
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Fiona Koh| Registration No: R1109239

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By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by GMP Recruitment Services (S) Pte Ltd and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at GMP Recruitment Services (S) Pte Ltd’s website and [https://www.e2i.com.sg/pdpa/]

Position Purpose

§ Manage the various functions of HR

§ Set objectives for the HR initiatives on employee engagement

§ Resolve complex and diverse issues and serve as escalation point for other support staff

Responsibilities

§ Administrative of HR Services

o Vet memo & HR updates

o Perform data analysis and provide recommendations for improvement in processes

o Respond to enquiries concerning non-routine/ complex issues and serve as escalation point for other support staff

o Monitor budget and recommend actions

o Upkeep all materials belonging to the department

o Prepare reports (attrition, report, levy/quota, estab, bonus, AI)

o Set up processes and procedures to uphold policies/ training application

o Manage course administration and monitor grant

o Register WSQ modules and administer Skillsconnect

o Process payroll and prepare monthly payroll report

o Review insurance plans and stay up-to-date with regards to market trends

o Review reports for accuracy

o Analyse data collected, provide observations and make recommendations to Manager.

o Upkeep C&B/ payroll information - statutory requirements such as CPF contribution

o Process payroll and analysis report

o Contact point for employee queries up to assistant managerial level

§ Attraction & Recruitment

o Oversee, propose and advise on new/existing recruitment activities

o Conceptualise and execute outreach programmes to reach out to new potential candidates

o Prepare and compile proposals for new recruitment events

o Keep team on track of timeline and ensure objective of talks/events/plan is achieved

o Oversee and give recommendations for designing of recruitment marketing collaterals

o Co-conduct and facilitate interviews for potential candidates and assist manager in the candidate selection and recruitment allocation

o Submission and update on recruitment data

o Draft social media storyboard and update landing page

o Negotiate agency contracts

o Conduct orientation for newly hired staffs

o Conduct MT/ campus recruitment activities & administer talent program

o Analyse and benchmark data and provide recommendations in report

o Work with managers to create JDs, identify staffing needs and determine recruitment and selection methods and tools

o Conduct exit interviews

o Review and screen resumes/ applications and discuss with hiring managers

o Conduct reference and background checks

o Develop interview questions

o Implement & administrate C&B programme

§ Establishment of HR/ L&D Processes

o Serve as escalation point for complex HR issues

o Initiate and manage HR processes and improvement projects

o Recommend new/ modifications of rules and guidelines as needed

o Draft policies

o Mentor & train new HR staff on company processes and software

o Analyse feedback and recommend action

o Enforce HR / L&D processes

o Investigate complex HR issues and recommend possible courses of action

o Update job classification and salary structure

o Communicate and educate employees on HR processes through workshops

o Execution of re-employment processes

§ Employee Engagement and Relations

o Advise employees on various rules, policies and guidelines related to HR

o Be the point of contact for employee grievances; investigate and address grievances and complaints with guidelines and SOPs set by senior management

o Design, oversee and administer the employee engagement surveys

o Manage the schedule and execute the necessary follow up of the surveys and on-the-ground feedback

o Oversee the planning and execution of engagement activities for employee-employer interaction

o Source for and shortlist HR vendors to administer employee engagement initiatives

o Review engagement calendar

o Conceptualise and propose employee engagement activities

o Plan and execute yearly awards for LSA, sales incentive, staff party and festive celebrations

§ Training & Development Programs

o Support manager with the conduct of the trainings and workshops

o Review the MT programme and give recommendations for improvement

o Develop and deliver training programmes and set content management system

o Analyse feedback and generate reports on training ROI and effectiveness

o Review of training materials and programs periodically

o Develop SOPs

o Develop Talent Management Program and career development framework

o Prepare TNA and recommend training

o Support manager in the conduct of trainings to equip outlet managers with the right processes, skills and mindset to manage staff

o Monitor & review the effectiveness of the training processes and programs

o Coordinate promotion processes

o Conduct Train-the-Trainer sessions

§ Performance Appraisal Management

o Support manager in the creation and designing of the performance appraisal process

o Administration and collation of performance appraisal/data periodically

o Interpret data collected, give recommendations and tabulate competencies for succession planning accordingly

o Distribute rewards with guidelines from manager

o Recommend courses to address IDP

o Administer psychometric assessment for promotees

§ People Management

o Mentor newcomers to integrate them well into the department

o Engage with the management & the department and participate actively in discussions and sharing of thoughts & ideas

o Give recommendations to the management on improvements for management practices within the department

JOB DESCRIPTION

Operate, maintain, and support metal additive manufacturing processes, including machine setup, production monitoring, powder handling, material characterization, equipment maintenance, and lab 5S compliance to ensure consistent build quality and safety. Main duties include:

• Machine operation, setup, post-processing. Operate and maintain LPBF machines, including setup, monitoring, data recording, and basic post-processing to ensure safe and consistent build quality.
• Powder handling and material management. Handle and maintain metal powders with full traceability, including sieving, quality checks, and safe storage in compliance with HSE procedures.
• Process & material characterisation. Conduct material testing and characterization, including density checks, metallography, tensile testing, powder analysis, and heat treatment of LPBF parts with proper documentation.
• Routine maintenance and cleaning of equipment. Manage LPBF machine maintenance and vendor coordination, including routine servicing, preventive maintenance scheduling, purchase order processing, documentation, and ensuring compliance with safety and configuration standards.
• 5S and lab housekeeping. Maintain a safe and efficient lab environment through 5S practices, regular cleaning, organisation, and support of housekeeping audits.

JOB REQUIREMENT

• Diploma in Mechanical Engineering, Advanced Manufacturing, Mechatronics, Precision Engineering, Engineering Science, Manufacturing Engineering, Industrial Engineering.
• Preferred (for Senior Laboratory Officer): At least 3 years of relevant experience in operating metal AM equipment or production equipment such as CNC machines, semiconductor tools, or automated lines under established work instructions, while monitoring process parameters, consumables, calibrations, performing basic in-process checks, and completing production or quality logs with good discipline and applying 5S and housekeeping standards to keep work areas organised, clean, and audit-ready.
• Good written and communication skills.

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork
• Manage and monitor project/ programme issues & mitigate risk
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• Good business acumen, able to identify business opportunity independently and interact with industry partners confidently.
• Proactive team player and technically motivated to solve problems, innovate and deliver to industry.
• Industry experience in managing product development or research project would be considered for senior position.
• PMP certifications or equivalent will be advantageous.

Job Description:
We are supporting an international research and innovation organization in identifying highly qualified professionals to contribute to advanced research and development initiatives in Artificial Intelligence and Pharmaceutical Sciences.

The selected candidate will participate in interdisciplinary projects involving technology innovation, applied research, and product development in collaboration with global research teams.

Candidates may have opportunities to participate in overseas research assignments and long-term project deployments depending on project requirements.

Key Responsibilities

• Conduct research and development in areas related to Artificial Intelligence technologies or Pharmaceutical Sciences
• Develop innovative solutions and contribute to technology commercialization initiatives
• Collaborate with cross-functional teams including engineers, scientists, and research partners
• Prepare technical documentation, research reports, and publications
• Participate in international research collaborations and innovation programs

Requirements

• Master’s degree or PhD in AI Technology or Pharmaceutical
• Strong research background or industry experience in relevant fields
• Ability to work in international and multicultural research environments
• Strong analytical and problem-solving skills

Choek Wei Qi Joel | R1877109
Recruit Lync Pte Ltd | 22C1000

Roles and responsibilities:

The Metals and Ceramic Forming Group is looking for an innovative and motivated Senior Research Engineer with experience in powder-bed inkjet and/or laser powder-bed fusion additive manufacturing (AM) processes to join our team. The candidate will be attached to the Additive Innovation Centre (AIC), hosted in SIMTech and supported by the National Additive Manufacturing Innovation Cluster (NAMIC), to bridge the R&D activities within the Group with the industry solutions sought by companies engaged under AIC.
This role offers opportunities to contribute to cutting-edge AM research, industry collaborations and technology development, with a strong focus on accelerating the adoption of AM towards pilot batch production and industrial deployment. As such, cross-sectorial industrial project experience will be highly advantageous.
There will be continual opportunities to grow and learn, as well as expand and improve the current set of skills through involvement, together with the team, in industry and competitively funded projects related to various AM technologies.

The roles and responsibiltiies include the following areas:

• Lead and deliver projects involving the development of AM process recipes for powder-bed inkjet, laser powder-bed fusion, and related industrial applications.
  • Operate additive manufacturing powder-bed printing systems and related post-processing equipment for end-to-end additive manufacturing solutions.
  • Perform metallic material testing, sample preparation, microstructural characterization and defect analysis for the fabricated parts.
  • Prepare technical reports and deliver project progress updates.
• Lead and manage project resources, lab operations, procurement, safety compliance and 5S housekeeping standards.
• Support outreach and knowledge sharing through seminars, training and industry events.

Job requirements:

• Bachelor"s Degree in Mechanical Engineering, Material Science, Materials Engineering or a related discipline.
• Minimum 3 years of experience in additive manufacturing.
• Experience with process parameters development and metallic material characterization.
• Proficiency in engineering CAD/CAM software such as SolidWorks, AutoCAD is preferred.
• Programming skills (e.g. Python, MATLAB, C++) are advantageous.
• Strong critical thinking, problem-solving, and hands-on technical abilities.
• Effective communication skills and ability to collaborate with team members and industry partners.
• Independent, resourceful and adaptable to a dynamic work environment.

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork.
• Manage and monitor project/ programme issues & mitigate risk.
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk.
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline.

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Employment Type: 3-Year Contract
Join Date: 2027 / 2028 onwards
Location: China (specific placement based on expertise and project alignment)

About the Opportunity

We are partnering with leading research institutions and innovation platforms to identify high-caliber global talent in technology (AI) and pharmaceutical sciences. This initiative aims to attract outstanding researchers and professionals to contribute to cutting-edge innovation and scientific advancement.

Selected candidates will have the opportunity to work in a dynamic research environment, collaborate with leading experts, and contribute to impactful projects with strong institutional support.

Key Benefits

• Highly competitive annual remuneration package
• Housing allowance provided
• Family support including educational assistance
• Attractive yearly performance bonuses
• Access to advanced research facilities and resources
• Opportunity to collaborate with global research team

Eligibility Requirements

• Master’s Degree or PhD in Technology, AI, Pharmaceutical Sciences, or related disciplines
• Strong academic or industry background in AI, technology, biotech, or pharmaceutical research
• Proven research capability, innovation track record, or industry expertise
• Ability to contribute to high-impact research or technological development

Contract Details

• Duration: 3 years
• Start Date: From 2027 / 2028 onwards

Job Scope

Tech (AI) Track:

• Conduct AI and machine learning research and development projects
• Design, implement, and test innovative algorithms or software solutions
• Collaborate with cross-functional teams to translate research into applied technology

Pharmaceutical Track:

• Conduct laboratory or clinical research projects in drug development or biotech
• Analyze experimental data and contribute to research publications or regulatory submissions
• Collaborate with multidisciplinary teams to drive scientific innovation

Ideal Candidates

• Researchers, scientists, and technology professionals seeking to work on frontier innovation
• Individuals interested in contributing to large-scale research initiatives and global collaborations
• Candidates open to relocating to China for a multi-year research engagement

Application

Interested candidates are invited to submit their CV and academic background for consideration.

Dorothy Ooi Shi Hui (R1762852)
Recruit Lync Pte Ltd (22C1000)

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork
• Manage and monitor project/ programme issues & mitigate risk
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / semiconductors / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Job Responsibilities:

• Responsible for performing professional process engineering research, development, and evaluation in support of the IME's variety of programs requirements such as semicondcutor wet cleaning and wet etch process.
• May conceive and plan projects involving definition and selection of new materials, concepts and approaches in the processing or development of new processes.
• Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
• Championing engineering experiments for process characterization to drive for quality and yield improvement.
• Setup and collect the experimental data and generate reports for both internal and customer distribution.
• Design and complete DOE (Design of Experiments) evaluations to characterize process window for new requirements.
• Work closely with senior staff and process integrators to understand technology roadmaps, process capability requirements and business issues/ challenges.
• Act as a resource for colleagues with less experience; lead small projects with manageable risks.
• Act as subject matter wet etch expert for both internal and external stockholders.
• Accelerate parallel process development capability to meet aggressive project timelines and supporting faster innovation cycles.
• Build a sustainable talent pipeline across both research and engineering levels.

Job Requirements:

• PhD in chemistry, Chemical engineering with 3+ years of relevant work experience in semiconductor process engineering; or
• Master's degree with 5+ years of relevant work experience in semiconductor process engineering.
• Prior experience in wet etch/ wet clean processes is preferred.
• A safety mindset is the most prerequisite for this position.
• Hands-on experience in designing and executing experiments (DOE), statistical and cause analysis, and problem-solving methods.
• Possess good interpersonal and communication skills.

Job Description: Scientist/Senior Scientist – Process Integrator / Hybrid Bonding/ Heterogeneous Integration

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Scientist/Senior Scientist to join our team. This role is pivotal in advancing state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes, developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, and conducting electrical and reliability characterisation. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Collaborate with senior staff, process integrators, and external partners to address technology roadmaps, process capability requirements, and business challenges.
• Lead high-impact projects with manageable risks and mentor less experienced colleagues.
• Conceive and plan projects involving new materials, advanced process integration approaches, and innovative concepts.
• Research and develop advanced packaging technology such as flip-chip & hybrid bonding techniques for 2.5D and 3D IC applications.
• Investigate and refine wafer bonding processes for interposer fabrication, inter-dielectric gap fill, and alignment accuracy, addressing critical factors such as warpage, bonding strength, and yield.
• Optimise die bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterisation to drive quality and yield improvements.
• Perform reliability characterisation of hybrid-bonded packages to ensure robustness and long-term performance.
• Act as a subject matter expert (SME) for both internal and external stakeholders, providing guidance and expertise.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.
• Work with minimal supervision and should be a team player.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: PhD in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 0 to 5 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogeneous integration applications.
• Technical Expertise: knowledge in hybrid bonding or flip chip bonding is plus.
• Knowledge: Strong knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterisation is preferable.
• Skills: Strong analytical and problem-solving skills. Proficiency in data analysis and interpretation and design of experiments.
• Excellent written and verbal communication abilities.
• Teamwork: Ability to work collaboratively in a research-oriented environment (OEMs, customers, and Internal stakeholders). Demonstrated ability to manage multiple tasks and projects simultaneously.
• Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.
• Proven ability to troubleshoot and resolve process-related challenges.
  

For further inquiries or additional information, please contact our HR personal. We look forward to receiving your application and exploring the potential for you to join our innovative team.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

About Gain City

At Gain City, we deliver expertise and quality solutions in air-conditioning, home appliances and consumer electronics. Established in 1981, Gain City is a trusted household name in Singapore. We take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are seeking pro-active and driven Human Resources (HR) Executives to join our growing team. Specifically, you will play a vital role in supporting the learning & development (L&D) function and operation. You will work with the business units to identify skill gaps and training needs, as well as source for and manage external training providers and internal learning resources in handling organisation’s learning and development needs.

This is a people-oriented role ideal for someone who thrives in a fast-paced environment and is passionate about building a positive workplace culture. You will work closely with various departments to ensure smooth operations across the group of companies and contribute to initiatives that enhance employee satisfaction and organisational effectiveness.

Key Responsibilities

• Identify skills gaps and training needs through analysis, evaluations, and employee feedback.

• Partner with Heads of Departments and management to support the organisation’s Learning & Development initiatives.

• Source, coordinate, and manage external training providers and internal learning resources.

• Maintain accurate project documentation and ensure compliance with ISO standards (ISO 9001, ISO 45001, ISO 14001).

• Prepare and manage non‑compliance reports.

• Oversee vendor and contractor management for training-related matters.

• Maintain effective administrative processes for tracking, recording, and filing all training documents.

• Build and manage partnerships with external organisations and government agencies for initiatives, funding, grants, and sponsorships.

• Coordinate internship programmes with educational institutions.

• Manage government grant applications and related documentation.

• Serve as the team lead for CSR event planning and coordination.

Qualifications and Requirements

• Bachelor’s degree in human resource management or a related discipline

• Minimum of 1 year of experience in Human Resources

• Able to interact confidently with business units and external parties

About the role

We are seeking passionate engineers to join our R&D team, focused on AI-driven and knowledge-based applications. The role focuses on developing and translating AI models and algorithms to enhance intelligence for robotic/ automation systems, integrating perception, planning, and control modules into a cohesive system.

You will work closely with a multidisciplinary team of engineers and researchers to develop advanced robotic/ automation solutions that combine machine learning, computer vision, and control systems to achieve autonomous and intelligent automation.

Roles and responsibilities

• Conduct research and develop AI methods for information extraction across diverse data types, including video, image, and text
• Contribute to the design and implementation of knowledge-based applications, such as graph database systems and related software tools
• Translate and optimise intelligent algorithms into robotic/ automation platforms to enhance intelligence- adaptive control and task execution
• Develop and maintain the AI-robot interface, ensuring robust communication between software intelligence and physical systems
• Support prototype development, testing, and validation of robotic/ automation solutions in lab and production environments
• Prepare technical documentation, reports, and presentations for internal and external stakeholders
• Participate in system deployment, commissioning, and field validation of AI-automation systems

Job Requirements

• Strong foundation in AI/ML algorithms and computer vision techniques such as object detection and action recognition, applied to automation in perception, decision-making, and motion planning.
• Fundamental understanding of software engineering practices, including Git/version control and modular code development
• Familiarity with deep learning architecture (e.g. CNNs, Transformers) and knowledge graph technologies (e.g., Neo4j, RDF, or graph databases) will be an advantage
• Proficient in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Basic understanding of automation systems and mechanical design principles
• Proficiency in one or more of the following areas:
• Robotic manipulation and motion planning (industrial or collaborative robots)
• C++, or ROS (Robot Operating System)
• Reinforcement learning or intelligent control
• Path planning and trajectory optimization
• AI model optimization and deployment for real-time systems

Desirable Skills (Preferred but not required):

• Hands-on experience with robot platforms (e.g., UR, ABB, KUKA, FANUC) or robotic simulation tools (e.g., Gazebo, Isaac Sim, V-REP).
• Experience developing or deploying AI models on robotic/ automation platforms
• Familiarity with industrial automation, disassembly, or intelligent manufacturing systems

Qualifications

• Bachelor's or Master's degree in AI, Mechatronics, Robotics, Computer Engineering, or a related field.
• Relevant experience, ideally in manufacturing industry or functions, is preferred. 
• At least 2 years of experience

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.