As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

Key Responsibilities

• Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify complex sensing signals in 
  maritime space.
• Conduct literature review on deep learning algorithm for complex signals.
• Design and develop a prototype for maritime sensing
• Conduct trials and experiments to determine the success of the prototype, 
• Propose and develop trials and experiments acceptance test steps/procedures, 
• Process and analyse the data gathered from the trial and experiments.
• Prepare the final report on the trial and experiments conducted with details covering findings and analysis, as well as the recommended way ahead.
• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing, system modeling, simulation testing for both hardware and software, experimental prototyping and testing.
• Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.

Key Competencies

• Good knowledge in system modeling, programming, simulations, data analytics, experimental prototype.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Your new company
A public firm is looking for a Human Resource Executive, Data Management (HR operations) #FR (1 year)

Your new role

Training Programme Management:

Coordinate end-to-end training programmes including participant registration, attendance tracking, and automated reminders
Create and maintain course runs, update programme information, and manage comprehensive participant databases
Maintain accurate L&D records, tracking files, and training databases in compliance with organisational standards

Financial and Vendor Management:
• Process training-related invoices, purchase orders, and systematically track payment status for external training vendors
• Support government-related training grant submissions including preparation of absentee payroll claims and supporting documentation
Data Management and System Administration:
• Prepare and validate data files for mass uploads into HR systems, including awards and long service recognition programmes
• Assist with sponsorship and scholarship administration including document verification, appointment scheduling, preparation of standard contracts, and record maintenance
Reporting and Compliance:
• Prepare comprehensive reports, summaries, and documentation for internal audits and management reviews
• Maintain audit trail documentation and ensure compliance with organisational policies

Leave & Benefits Administration
Leave Management:
• Support comprehensive leave administration including processing requests, conducting document completeness checks, and preparing system updates
• Manage government-paid leave processes including maternity, paternity, shared parental and childcare leave with accurate portal submissions
Benefits and Insurance Administration:
• Handle insurance administration including staff queries, claims submission processing, and approval tracking
• Coordinate claim documentation, manage insurer submissions, and maintain detailed case records
Regulatory Compliance:
• Compile and prepare detailed reports for leave audits, identify and highlight variances, and maintain organised audit trail documentation

General Administrative Support
• Maintain accurate records, e‑filing and document management on SharePoint and HR systems.
• Perform data entry and ensure high data accuracy across all HR processes.
• Assist in preparing PowerPoint slides, reports, and process documentation.
• Provide general team administrative support as required.

What you'll need to succeed

Your previous experience in a similar role will lead to your success, as you will ideally have:

• A recognized diploma in Human Resource Management, Business Administration, or a related field.
• 1 year experience in HR, or HR operations.
• SuccesFactors experience

What you'll get in return

You will be given the chance to continuously grow in the company due to the expanding business entity, whilst being a part of the team in the growing business.

What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Francesca at Hays on +65 6027 2257 or email francesca.kok@hays.com.sg for a confidential discussion. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

EA Reg Number: R1660446

EA License Number: 07C3924

Company Registration No: 200609504D

• Well Established Company

• Basic $5000 - $5500 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working day: Monday to Friday

• Working hours: 8am to 5pm
  

Job Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.
  

Job Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• No colour blindness
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

About the role:

Reporting to the Plant Director, you’ll be responsible for:

• Partners with the Site Director and Site Leadership Team to develop and execute a comprehensive learning strategy that strengthens operational capability, supports employee development, and enables the site to achieve its performance goals.

• Designs, governs, and sustains a structured training system covering onboarding, upskilling, certification, SME development, and long-term career growth for hourly and salaried employees.

• This role governs the learning and capability system but is not expected to perform technical or equipment-specific training for operators or technicians. All hands-on technical and machine-specific training is delivered by functional SMEs (Operations, Maintenance, Engineering, Quality, EHS).

Responsibilities:

1. Learning Strategy & Governance

• Develop and execute an L&D strategy aligned to site goals, operational priorities, and workforce capability needs.

• Establish a sustainable training structure covering onboarding, technical upskilling, certification, cross-training, and leadership development.

• Partner with HR Manager and functional leaders to identify current and future capability gaps.

2. Training System Design & Standardization

• Lead the design, development, delivery, and evaluation of L&D solutions and materials.

• Develop and maintain SOPs related to training governance.

• Ensure learning programs apply relevant learning principles and effective knowledge transfer.

• Utilize blended learning (classroom, OJT, digital, simulation, etc.).

3. Technical Training Governance (Not the Technical Trainer)

• Own the technical training framework, process, and governance.

• Ensure all equipment-specific, technical, and maintenance training is delivered by qualified SMEs.

• Develop and manage SME and OJT trainer certification programs.

• Audit and calibrate SME-led technical training for consistency and accuracy.

• Maintain strong alignment with Operations, Maintenance, Engineering, QA, and EHS.

4. Workforce Capability Building

• Partner with functional leaders to plan and enable capability development across shifts.

• Support SME-led training and ensure trainers apply consistent standards.

• Identify skill gaps and recommend updates to technical training materials.

5. New Hire Onboarding & Compliance Training

• Oversee onboarding programs including safety, quality, GMP, plant tours, gowning, and expectations.

• Ensure compliance training meets regulatory and internal requirements.

• Maintain accurate training records and capability metrics.

6. Continuous Improvement & Change Management

• Lead learning and training programs for new systems, digital tools, and technology upgrades.

• Research and recommend new training platforms/tools that enhance learning.

• Coordinate external vendors for specialized training requirements.

7. Stakeholder Engagement & Communication

• Partner with Site Leadership to ensure capability needs are met.

• Communicate progress, gaps, and risks to leadership.

• Promote a strong learning culture supporting performance, safety, and growth.

Required Education, Experience and Skills

• Bachelor's degree in Human Resources, Business, Education, Industrial Engineering, or related field.

• At least 3 years of experience in a multinational manufacturing environment (Nutrition, Pharmaceutical, Food Industry preferred).

• Strong capability in designing, delivering, and evaluating training programs.

• Strong leadership, facilitation, and communication skills.

• Excellent interpersonal and collaboration skills.

• Ability to manage multiple priorities in a fast-paced environment.

• Proficiency in Microsoft Office (Excel, Word, PowerPoint).

• Experience with modern and traditional training methods (OJT, classroom, digital).

• Ability to influence across levels and functions.

Location: Singapore
Group: Surface Remanufacturing Technology (SRT), SIMTech / A*STAR

About the Group

The Surface Remanufacturing Technology (SRT) Group at SIMTech develops advanced surface engineering, coating, and finishing technologies for industrial applications. Projects are often industry-driven or competitively funded, involving both fundamental R&D and translation into practical, production-scale processes.

Role Summary

You will execute and support research in laser material processing, ranging from laser surface texturing, laser cleaning, laser micro-machining, laser peening, and laser metal deposition. The role will also involve supporting characterization work, such as optical microscope and SEM imaging, sample preparation, residual stress and fatigue life measurement, analyzing of data and compilation, and overseeing other day-to-day activities such as procurement, equipment maintenance and laboratory supervision as required.

Key Responsibilities

• Support and execute R&D efforts in laser material processing.
• Conduct experimental trials; optimise process parameters to meet functional requirements (wear resistance, water affinity, surface hardness and roughness etc.).
• Perform materials and microstructural characterisation: sample preparation (sectioning, mounting, polishing, etc.), microscopy (optical, SEM), surface energy measurements, hardness / mechanical testing, etc.
• Troubleshoot and improve process stability, texture uniformity, reproducibility, and scalability; understand failure modes and address issues.
• Collaborate with multidisciplinary teams (materials scientists, mechanical engineers, surface metrology experts) and with industrial partners for technology transfer.
• Stay up to date on emerging laser processing technologies and contribute to the evaluation and incorporation of new techniques (e.g. novel optics, process monitoring and control, simulation and modelling, machine learning).

Qualifications & Experience

Essential:

• Bachelor's degree in Materials Science, Mechanical Engineering, Surface Engineering, or a related field.
• Good foundation in optics and light properties, materials and microstructure, surface properties and composition, thermodynamics and heat transfer
• Good understanding of experimental design, such as making reasonable hypotheses, crafting experiments and optimising process parameters, collecting and data analysis and compilation
• Experienced in material characterisation tools: microscopy (optical, SEM), wear testing, hardness testing, etc.
• Good communication skills, able to work well with others, able to articulate one’s thoughts and present one's work, motivated and hardworking

Desirable:

• Knowledge of post-processes (surface chemical grafting, surface passivation, coating overlay).
• Knowledge in python or other machine learning languages; experience in software such as Autocad/Creo, Rstudio, Labview etc.
• Project management experience; ability to guide junior researchers / engineers / lab officers

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

Services (Duties and Responsibilities), which shall include, but are not limited to:

1. Providing leadership and professional oversight in music education programmes;

1. Contributing to centre development, programme planning, and quality assurance initiatives;

2. Supporting curriculum development and pedagogical standards in music education;

3. Providing guidance, mentoring, and professional input to teaching staff when required;

4. Participating in centre planning, events, and programme development activities; 

5. Carrying out business and educational coaching from time to time;

6. Developing, reviewing, and implementing internal policies and procedures, and providing relevant training or guidance to employees where applicable; 

7. Developing, reviewing, and maintaining operational, academic, and administrative documentation, including providing training or briefing to relevant staff as required; and

8. Supporting basic risk management initiatives, including identifying operational or academic risks and assisting management in implementing appropriate mitigation measures.

Job Title: Research Engineer (Chemical-related)

JobType: Full-time (5-day work week, no OT, no shift)    

Location: 5-7 mins walk from Jurong East MRT station

Salary: SGD$3200-SGD$3700/month, subject to CPF.

Job Summary:

As a Research Engineer, you will be an integral part of our research and development team, responsible for performing experiments and optimizing processes related to the manufacturing of magnetic nanoparticles used in IVD testing kits. You will collaborate with a multidisciplinary team of scientists, engineers, and researchers to drive technological advancements in the IVD field.

Responsibilities:

1.    Conduct experiments in the wet lab to synthesize, characterize, and modify magnetic nanoparticles according to the project pipeline or the customer requirements.

2.    Design and execute protocols to produce magnetic nanoparticles, ensuring adherence to quality standards.

3.    Collaborate with cross-functional teams to develop innovative processes and techniques to enhance the efficiency and reliability of nanoparticle manufacturing.

4.    Analyze experimental data and present findings to the research team, contributing to the decision-making process.

5.    Troubleshoot and optimize experimental procedures to improve product performance and quality.

6.    Maintain accurate and detailed records of experimental procedures, protocols, and results.

7.    Stay up to date with the latest advancements in nanoparticle studies and characterization techniques in the IVD field.

Qualifications:

1.    Bachelor’s degree in Chemical Engineering, Chemistry, Materials Science, Chemical and Biomolecular Engineering, or a related field. Fresh graduates are welcome to apply.

2.    Strong knowledge of wet lab techniques and internship experience in synthesizing nanoparticles or related materials.

3.    Proficiency in nanoparticle characterization techniques, such as TEM, and SEM will be an advantage.

4.    Welling and able to work in the wet lab environment.

5.    Familiarity with formulation and optimization of chemical reactions.

6.    Experience in working with magnetic nanoparticles or similar nanomaterials is highly desirable.

7.    Knowledge of IVD testing methodologies and regulations is a plus.

8.    Excellent analytical and problem-solving skills.

9.    Strong attention to detail and ability to accurately document experimental procedures and results.

10. Effective communication and teamwork skills.

11. Professional with Microsoft Office.

Please state your availability and current salary on your resume for fast processing. We regret that only shortlisted candidates will be notified. Thank you.

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.

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.

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

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

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

Key Responsibilities:

• Conduct Research and Analysis:

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

• Develop New Products and services:

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

• Improve Existing Products and services:

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

• Collaboration:

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

• Regulatory Compliance:

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

• Innovation:

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

• Implementation:

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

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

Job Description & Requirements

Job Responsibilities

• Lead and/or co-design a new module or improve a current module in collaboration with NIEC Headquarters’ Curriculum & Programmes (C&P) team
• Coordinate for academic meetings, and training / complete exam processing
• Review the module with the C&P team in tandem with industry development and in line with module and course objectives
• Design and adopt innovative pedagogy, keeping abreast with technological developments to achieve module outcomes and quality delivery of the module
• Monitor the Module/Course Evaluation Survey for quality indicator for improvements
• Deliver lessons according to module objectives, learning design and lesson instructional plans as provided by NIEC HQ
• Adopt and apply the assessment strategies and requirements for module assignments according to NIEC’s and Polytechnic’s assessment guidelines
• Monitor students' performance, give informative and constructive feedback to students on their learning
• Supervise student assignments/projects/practicum/internship
• Act as a class advisor/mentor for tutorial groups to provide students with the necessary information and support in areas that affect their studies. E.g., refer student to Student Services (SAS) for financial assistance and counselling on personal matters at the Polytechnic
• Handles/follow-up with students’ disciplinary issues in consultation and in collaboration with Module Leaders/Course Chairs/Course Leads when necessary

Job Requirements

• Master in Early Childhood Education or education related post-graduate qualifications; and
• Bachelor’s degree in Early Childhood with 5-8 years of teaching and supervisory experience in the early childhood industry;
• Candidates with experience in inclusive practice, special needs education, or proficiency in relevant Mother Tongue languages will have an advantage, as the role may require teaching modules delivered in these languages.
• Meticulous, self-initiated, responsive and adaptive to change;
• Able to work collaboratively in a team.

This position will be based at any one of NIEC’s campuses, namely , Ngee Ann Polytechnic Campus, ITE Campus (Ang Mo Kio) or Temasek Polytechnic Campus.

Perks & Benefits:

• Learning & Professional Development
• Comprehensive Benefits Package such as attractive leaves schemes, flexible benefits, dental coverage etc.

Note: All new hires will be offered a two-year contract in the first instance. Contract renewal and emplacement on permanent appointment will be subject to continuous good performance.

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

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

Key Responsibilities

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

Job Requirements

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

Key Competencies

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

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

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. 

---

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.

---

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.

About SUTD

SUTD is the world’s first Design AI university. With Design AI, artificial intelligence is treated as a partner and a member of the team – not just a tool. As a result of this unique SUTD treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based interdisciplinary pedagogy. As a trailblazer in the field of design and technology education and research, SUTD has been pioneering innovative programmes and initiatives since its formation 16 years ago. As part its new mid-term growth strategy called SUTD Leap, it will work closely with industry to co-create solutions in both education and research – for a better world.

What You'll Do
The Language and Social Cognition Lab at Singapore University of Technology and Design invite applications for a Research Fellow to join an interdisciplinary research project examining human-human and human-AI communication in multilingual/multicultural contexts, with a particular focus on senior adults in Singapore.  

This project examines how linguistic diversity, cultural norms, and aging shape communicative breakdowns and adaptations in interactions involving large language model (LLM)-based conversational agents. The candidate will conduct mixed-methods research, including interviews, behavioral experiments, discourse analysis of multilingual dialogue, and field user studies in local elder-care settings. The candidate will work closely with an interdisciplinary team across psychology, HCI, and AI, contributing to the evaluation of proactive AI companion agents with respect to cultural sensitivity, engagement, and usability.   

Who We're Looking For

• At least a PhD in Psychology, Cognitive Science, Human-Computer Interaction, Communication Science, or related fields.
• Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed methods) is required.
• Experience in conducting research with senior adults, multicultural or multilingual research, and/or human-AI interaction is preferred.
• Knowledge of or willingness to work with LLM-based systems will be a strong asset.

This position is for one-year contract, with the possibility of a one-year extension subject to performance and funding availability.