Total 694 Senior Executive level Education / Training job vacancies

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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.

Overview

If you’ve ever wanted to build something of your own, this is where it starts.

Simple Recruit is looking for individuals with an entrepreneurial mindset to develop skills in sales, marketing, and business development within a structured and supportive environment.

What You Gain

Summary

• Salary range: Basic $2500-$3000 + High Commission

• 5 days
  Monday to Friday 9am-6pm

• Industry : Solar Panels

• Location: 10 mins walking distance from Potong Pasir MRT

• Bonus provided yearly

Responsibilities

• Conduct cold calls to identify and engage potential residential customers for solar PV installations.

• Carry out door-to-door canvassing for landed property homeowners to promote solar PV solutions.

• Educate homeowners on the benefits of installing a solar PV system and generating their own electricity.

• Assess residential sites to determine suitability for solar PV installation.

• Prepare proposals and handle administrative documentation for submission to relevant authorities.

• Coordinate closely with the installation team and Licensed Electrical Worker (LEW) to manage projects and keep customers updated.

• Provide after-sales support by addressing customer enquiries and concerns.

Requirements

• Minimum Diploma/ Bachelor's Degree in Electrical Engineering or a related field.

• Candidate without experience in this industry are welcome to apply, training will be provided.

• Candidate with relevant work experience in the energy industry or renewable energy sector will have added advantage.

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Angel Lee Yueh Lin (R24120071)

Position title : Field Support Executive
Location: Somerset
Working Days:  5-day (including Sat & Sun)
Working Timing: Start work at 10AM ; Weekday end at 6PM/630PM/7PM ; Saturday end at 5PM & Sun End at 430PM
Salary : $3500 - $4300 

Job Description

• Lead the setting up of new centres, overseeing all aspects of operational planning, logistics, and staffing to ensure a smooth and successful launch.
• To support develop SOP for setting up new centre with the goal of using these guidelines for future franchise training and expansion.
• Provide on-site support during centre opening and initial operations to ensure smooth rollout.
• Support the implementation and daily running of centre programmes. 
• Conduct training and on-site guidance for franchisees and centre staff on programme delivery and operational procedures.
• Carry out regular centre visits to check programme delivery, operational standards, and compliance requirements.
• Support parent engagement, including programme explanation, enrolment support, and handling routine enquiries when needed.
• Coordinate day-to-day matters between franchisees and HQ and submit basic visit or progress reports.
• Perform other duties as assigned by management.

Requirements

• Diploma or Degree in a relevant field.
• Experience in education, training, or centre operations is preferred.
• Familiarity with tuition or enrichment centre operations is an advantage.
• Conduct on-site operational support and training activities for franchisees and engaging with parents.Willing to perform field-based work, including centre visits and weekend support.

Whatsapp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

Summary:

• Salary range: $4500-$5000 (No comm entitle)

• Monday to Friday, 8:30am-5:30pm
  (Required to work on 1 half day Saturday per month)

• Location: Ubi

• Industry: HVAC / Air-Conditioning Services
  (serving industrial and commercial properties, including offices, laboratories, and cleanrooms)

• AWS & Bonus yearly

Responsibilities:

• Develop new business opportunities and maintain relationships with existing clients.

• Promote HVAC products and services, providing consultation based on customer needs.

• Prepare sales quotations, follow up on enquiries, and coordinate project delivery with internal teams.

• Support marketing initiatives and contribute to sales strategy development.

Requirements:

• Diploma/ Degree studies in Mechanical/ Mechatronics Engineering field.

• Candidate with experience in engineering sales will have added advantage.

• Candidate without experience in this industry are welcome to apply, training will be provided.
  

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Angel Lee Yueh Lin (R24120071)

Company: Simple Recruit (An Extension of Royal Organization)

Overview

We believe attitude matters more than experience.

Simple Recruit is seeking individuals who are willing to learn, grow, and challenge themselves, regardless of background.

What We Offer

Position title : Field Support Executive
Location: Somerset
Working Days:  5-day (including Sat & Sun)
Working Timing: Start work at 10AM ; Weekday end at 6PM/630PM/7PM ; Saturday end at 5PM & Sun End at 430PM
Salary : $3500 - $4300 

Job Description

• Lead the setting up of new centres, overseeing all aspects of operational planning, logistics, and staffing to ensure a smooth and successful launch.
• To support develop SOP for setting up new centre with the goal of using these guidelines for future franchise training and expansion.
• Provide on-site support during centre opening and initial operations to ensure smooth rollout.
• Support the implementation and daily running of centre programmes. 
• Conduct training and on-site guidance for franchisees and centre staff on programme delivery and operational procedures.
• Carry out regular centre visits to check programme delivery, operational standards, and compliance requirements.
• Support parent engagement, including programme explanation, enrolment support, and handling routine enquiries when needed.
• Coordinate day-to-day matters between franchisees and HQ and submit basic visit or progress reports.
• Perform other duties as assigned by management.

Requirements

• Diploma or Degree in a relevant field.
• Experience in education, training, or centre operations is preferred.
• Familiarity with tuition or enrichment centre operations is an advantage.
• Conduct on-site operational support and training activities for franchisees and engaging with parents.Willing to perform field-based work, including centre visits and weekend support.

Whatsapp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Job Requirements:

• PhD in Physics, Engineering, Data Science, Geography, or related fields with at least 3 years of relevant experience.
• Proficiency in Python or R with experience in geospatial and/or statistical packages.

Relevant research/project experience in either of these fields:

• Spatial analysis / Geospatial information system (GIS).
• Transportation and urban systems.
• Agent-based modelling / network analysis.
• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable.
• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus.
• Good written and verbal communication skills.
• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact.

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.

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

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

Key responsibilities

• Be the go-to contact for customers—handling inquiries, preparing quotations, and supporting sales activities

• Provide day-to-day administrative support to the sales team

• Maintain and update CRM and SAP systems with accurate data

• Assist in ad-hoc sales projects and administrative tasks

Job Requirements

• Experience in a Sales Support, or similar role

• Familiarity with CRM systems and strong skills in Microsoft Office (Excel)

• Experience with SAP and customer service is a big plus

• Strong communication skills and a positive, professional attitude

• Excellent organizational and multitasking abilities

• A proactive team player who can work under pressure and meet deadlines

• Strong analytical mindset with the ability to prioritize tasks

Robotics & Coding Program Instructor

Job Highlights

• Fast growing Coding & Robotics School in Singapore.
• Competitive salary package
• Company Insurance provided and meal covered

Job Description

JobRequirements:

·       Singaporeans are encouraged to apply.

·       Preferably with 2-year relevant experience in coding and/orrobotics enrichment/teaching industry. Fresh graduates with relevant academicor working experience will also be considered.

·       Knowledge of coding (especially PYTHON) or LEGO Robotics a plus.

·       Poly diploma holder with strong computer science (PYTHON) OREngineering background and strong relevant working experience preferred.

·       Excellent written and spoken English proficiency

Jobscope:

·       Develop and update Coding and/or Robotics Program curriculum. Fromconceptualization through to launch and run management (instructor/teacherrole).

WorkLocation:

·       134 Jurong Gateway Road #03-307D OR

·       1 Marine Parade Central #06-02 OR

·       6 Sin Ming Road #01-03

WorkingHours:

·       3 weekdays (12pm to 8:30pm) & 2 weekend day (8:30am to 5:30pm).

·       Additional hours apply during school holidays.

·       Off during public holidays.

·       Includes 2 weeks of centre breaks annually (on top of annual leaveentitlement).

Skillsets:

·       Super passionate about coding and/or Robotics.

·       Excellent knowledge on all or some of these: Python, Scratch, LEGORobotics, Minecraft Education, Web Development, Raspberry Pi, Arduino,Micro-bit, 3D rendering, App-Development.

·       Experience with curriculum development and documentation.

·       Good collaborator, independent, meticulous, excellentcommunicator.

Benefits:

·       14 days paid annual leave after probation period.

·       Discretionary Bonus after 1 year completion.

·       Company insurance provided.

·       Meals covered

AdditionalInformation

Career Level: Junior Executive

Qualification:Diploma, Advanced/Higher/Graduate Diploma

Years of Experience: 2 years

Job Type:Full-Time

Job Specializations:Education/Training, Education

Company Overview

Leedom Learning Pte Ltd is theparent company of THE BRAINERY CODE, which is the premiere provider for Codingand Robotics enrichment programs in Singapore.

We're located at Jurong East,Sin Ming Road, and Marine Parade.

Besides our main Coding andRobotics program, we're also the folks behind the wildly popular TECHCATION™and TECHAdventure™ holiday camps. Our programs are relevant because of thespecific future value they can bring to our students. We also partner withother education provider and enterprises to deliver customized programs (e.g.we're the official PYTHON trainer for Shopee employees).

As one of the pioneers in Singapore's STEM enrichment industry since 2015, THE BRAINERY CODE delivers stimulating, engaging and “light bulb moment” lessons to challenge our students to re-imagine the world around them and excel in and outside the classroom. We nurture and build confident, creative and resourceful minds, and celebrate innovation, collaboration and problem solving breakthroughs.

We have a very dynamic and innovative team, obsessed with quality, inspiration, and pushing the envelopewhen it comes to student engagement.

We're looking for the right talents to join us in achieving our visions.

Find out more here:https://www.thebrainerycode.com/

Additional CompanyInformation

Registration No.

201737170C

Company Size

1 - 50 Employees

Industry

Education

Benefits & Others

Miscellaneous allowance, Medical, Casual dress code, Perk account for personal claims e.g. vision, dental, phone, personal insurance,

About Us

At SIMTech Innovation Factory, we are a multidisciplinary design team driven to uncover opportunities and tackle challenges that others overlook. We harness A*STAR’s cutting-edge technologies to develop innovative, unconventional solutions that inspire. Through captivating visuals and compelling storytelling, we showcase the value of ASTAR technologies and foster wider industry adoption.

Our team serves as a creative bridge between A*STAR technologies and industry partners—translating complex science into intuitive, user-centered innovations that resonate with diverse stakeholders.

 Key Responsibilities

• Lead industrial design direction for R&D and industry projects, from early concept development through design freeze and production handover.
• Translate research outcomes, emerging technologies, and user insights into compelling product concepts and design strategies.
• Drive design excellence across form, usability, ergonomics, CMF (colour, material, finish), and overall user experience.
• Develop and validate design concepts using sketches, CAD models, renderings, and prototypes.
• Collaborate closely with mechanical, electrical, and manufacturing engineers to ensure design intent is successfully realized in production.
• Participate in design reviews to evaluate concepts for usability, manufacturability, cost, and feasibility, providing design guidance and trade-off decisions.
• Prepare high-quality visual presentations and design documentation to communicate design intent to internal teams, industry partners, and stakeholders.
• Support product industrialization activities by working with engineering teams on tooling reviews, pilot builds, and production feedback.
• Guide and mentor junior designers, fostering good design practices and design thinking within project teams.
• Contribute to the development of design methodologies, processes, and standards within the Innovation Factory.

 Requirements

• Degree in Industrial Design, Product Design, or a related discipline.
• 5+ years of professional experience in industrial design, preferably in R&D, advanced development, or product innovation settings.
• Demonstrated experience in designing real products that have been successfully launched to the market.
• Strong design portfolio showcasing concept development, user-centered design, and final production outcomes.
• Proficiency in design tools such as Sketching, 3D CAD (e.g. Rhino, SolidWorks, Creo), and rendering software (Keyshot).
• Solid understanding of materials, manufacturing processes, and production constraints—sufficient to collaborate effectively with engineering teams.
• Proven experience working closely with engineering, research, and manufacturing partners to translate design intent into manufacturable products.
• Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
• Ability to lead design discussions, provide clear direction, and make informed design decisions within project constraints.
• Strong passion for innovation and applied design with real-world impact

Nice to Have:

• Experience working with industry partners, SMEs, or government-supported R&D programs.
• Exposure to sustainability, human-centered design, or design for manufacturability practices.
• Experience mentoring designers or leading small design teams.

Job Description:

The OIS Group is seeking a highly motivated and very experienced senior or principal scientist to define, develop, deliver and lead optics-based solutions for advanced semiconductor metrology and inspection challenges.

The candidate will play the key role in driving optics-led R&D, translating metrology requirements into novel optical architectures and delivering system-level solutions that address critical needs in semiconductor equipment manufacturing. The candidate will work closely with multidisciplinary teams (systems, algorithms and industry partners) to shape research directions and execute high-impact R&D in the following areas:

• Optical Metrology and Inspection for Semiconductor Manufacturing
• High-resolution Imaging Optics
• Multi-scale, Multi-spectral Imaging Systems
• Advanced Microscopy Techniques
• Novel Optical Architectures for Metrology

The key roles and responsibilities include, but are not limited to, the following:

• Define optical concepts and architectures to address semiconductor metrology and inspection problems from requirements definition to solution delivery
• Drive the development of novel optical systems for high-resolution metrology
• Formulate scientific research directions and competitive proposals to secure internal and external research funding
• Understand semiconductor equipment manufacturing challenges and translate industry needs into impactful optics-based research opportunities
• Work closely with industry partners to deliver proof-of-concept systems, demonstrators and applied R&D outcomes
• Contribute to the growth of optics and metrology capabilities through technical mentorship and cross-team collaboration

Job Requirements:

• PhD degree in Optics, Physics or other relevant disciplines
• Candidates with strong fundamentals in optical system design and laser technologies, with hands-on experience in developing and validating optical systems and at least 10 years' experience in research and leadership of R&D projects in the relevant area of expertise, preferably in semiconductor inspection, metrology, or related precision manufacturing domains
• Proven ability to attract significant levels of research funding
• Demonstrated ability to translate complex metrology problems into practical optical solutions
• Strong track record of scientific publications in highly cited journals and patents in relevant fields
• Experience working with industry partners and delivering applied R&D outcomes is expected
• Strong written and verbal communication skills, with the ability to engage technical peers, management, and external stakeholders
• Self-driven, adaptable, and proactive team player with the ability to work across disciplines

Role Summary

We seek a Machine Learning Scientist to lead and support R&D in applying AI/ML to manufacturing challenges, particularly in process monitoring, quality improvement, and reconfigurable systems.

Key Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop & deploy ML pipelines with MLOps practices.
• Work with time series data for predictive modeling.
• Apply advanced ML methods: few-shot, transfer, continual learning.
• Collaborate in a multidisciplinary team.
• Ensure scalable and reproducible ML workflows using Docker.

Requirements

• PhD in Computer Science, Engineering, or related field (focus on ML/AI).
• Proven experience with ML in production environments.
• Proficient in time series analysis & quality monitoring systems.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques (few-shot, continual learning, etc.).

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Background in smart/digital manufacturing.
• Familiarity with Industry 5.0 and reconfigurable systems.
• Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
• Exposure to cloud platforms (AWS, GCP, Azure).