Total 153 Senior Executive operations engineer job vacancies in Education / Training category in Singapore

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Job Summary:

We are seeking a Senior AI/ML Engineer to design, build, and optimize machine learning models and AI solutions that solve real-world problems. You will lead the development of end-to-end pipelines, deploy scalable AI systems, and collaborate with cross-functional teams to drive innovation and deliver impactful solutions.

Responsibilities:

• Design, develop, and deploy machine learning models and AI solutions for production environments.
• Build and optimize data pipelines to preprocess, clean, and transform large datasets.
• Conduct research and implement cutting-edge techniques in machine learning, deep learning, and AI.
• Fine-tune models for performance, accuracy, and scalability based on business requirements.
• Collaborate with data engineers, product teams, and stakeholders to define AI/ML use cases.
• Monitor model performance and continuously improve deployed solutions.
• Develop and maintain documentation, including model architecture and deployment processes.
• Mentor junior engineers and provide technical leadership in AI/ML projects.

Requirements:

• A graduate in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in developing and deploying AI/ML solutions.
• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing frameworks (e.g., Pandas, NumPy, Spark).
• Proficiency in building and deploying ML pipelines using tools like MLflow, Kubeflow, or AWS SageMaker.
• Solid understanding of algorithms, deep learning architectures, and statistical methods.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong problem-solving and communication skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

The role of an academic at the Singapore Maritime Academy is both challenging and deeply rewarding. We are seeking individuals who not only possess comprehensive knowledge and practical experience in the maritime industry but also demonstrate a genuine passion for nurturing and guiding students. As a lecturer, you will have the opportunity to shape the future of the maritime sector by developing curriculum, introducing new courses, and engaging in consultancy and applied research projects. Administrative duties related to teaching and contributing to strategic initiatives of the School/Institution are integral aspects of this role. Successful candidates will be expected to be resourceful, innovative, and possess excellent communication skills.

The candidate is expected to develop and teach the Diploma in Nautical Studies in the following areas:

• Introduction to Navigation

• Ship Knowledge

• Marine Communications & Signals

• Collision Regulations

• Electronic Navigation Systems

• Basic Tanker Training

• Fundamentals of IT & Data Analysis

• Basic Occupational Safety and Security Training

• Meteorology

[What you will be working on]

Responsibilities:-

• Conduct lessons and review teaching materials for Pre-Employment Training (PET) and Continuing Education and Training (CET) courses.

• Ensure that new/existing teaching curriculum modules are aligned with the Standards of Training, Certification, and Watch-keeping (STCW) Convention and the practices of the maritime industry.

• Collaborate with industry to enhance students’ learning through activities such as industry field trips, student-industry projects, internship programs, and overseas programs.

• Serve as an advisory role to ensure equipment and training facilities are updated and operationally ready for practical training sessions to ensure an authentic learning experience.

• Provide mentorship and pastoral care to students, fostering their personal and professional development.

• Participate in Internal and External Quality Maritime Education and Training (QMET) audits to maintain and improve the quality of education.

Support polytechnic and school events, including education counselling, guidance, and outreach activities.

[What we are looking for]

Requirements:-

• Holders of Deck Officer Class 1 Certificate of Competency issued by MPA or relevant authorities, or Master’s degree in Maritime Studies.

• At least 4 years of working experience within the maritime industry.

• Passionate about education and possess a strong interest in teaching and mentoring students.

• Excellent team player with the ability to work independently.

• Strong communication skills, both written and verbal. Teaching experience is preferred but not mandatory; applicants with no teaching experience are welcome to apply.

If you meet the above requirements and are interested in this exciting opportunity, please apply with your CV and cover letter.

Successful candidate will be offered a 2-year contract in the first instance.

Closing date: 2 January 2025

If you are shortlisted for the position(s), you should hear from us within 30 days of the closing date of the advertisement.

Relocating to Norway, this is full time role .

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market.

By creating intelligent control systems to coordinate hydro power production and utilise supercapacitors, it enabling these resources to operate in the frequency market and help stabilise the power grid.

You’ll join a team backed by industrial investors and public investment funds.

working along with a dynamic work environment with high skilled scientists from all over the world.

You will involve in building pioneering technology for energy optimization and stabilization of the power grid through advanced software.

Combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control

Developing learning algorithms that fit models to real-world data.

Using models to develop advanced autonomous control solutions.

Creating predictive solutions to optimise operation and detect problems.

Qualifications

You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.

You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.

Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.

Knowledge of hydro power, power grid or power electronics technologies are an avantage, but not a requirement.

If you specialise in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

Someone who are structured and good at planning.

You can break down complex problems into concrete, manageable tasks.

You combine theoretical knowledge with practical problem-solving.

You love team collaboration but also enjoy diving deep into technical challenges.

Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.

Job Responsibilities:

• Assist customers on course enquiries and registrations
• Follow up on billing and payment
• Logistic preparation for class (attendance, exam administration & etc)
• Daily course support and exam administration
• Update attendance and assessment result
• Course Evaluation Download
• Ordering of stationery, certificate, safety card, water drums & etc
• Any other tasks assigned

Period:

• 1 year contract

Working Hours:

• Monday to Friday, 8am to 5.30pm
• Ad-hoc class support on Saturday and weekday evening

Salary:

• up to $2800 + completion bonus

Location:

• Woodleigh Park
• With effect from 1 March 2025, Bedok Industrial Park

Requirements:

• Diploma in relevant Business discipline
• Possess at least 1 – 2 years of relevant experience
• Proficient in Microsoft Office Application (Word, Excel and PowerPoint)
• Excellent customer facing skills together with strong communication
• Good analytical and problem-solving skills
• Ability to work independently
• Knowledge of training operations work would be an advantage

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
[email protected] (Registration no: R1107390)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Rd, #13-07/08/09 SBF Center, Singapore 068914

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences, the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore and transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, Cross Cutting Theme 2: Satellite Remote Sensing will map and monitor the impact and solutions of climate change in Southeast Asia region.

The Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS) at Nanyang Technological University in Singapore invites applications for a Research Fellow / Scientist / Engineer to support CTP Cross Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams’ research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes, volcanoes, and impacts of climate change.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

EOS-RS and CTP welcomes applications from qualified candidates who have interests and expertise relevant to the use of remote sensing for mapping, monitoring, and understanding the causes and effects of climate change. We are particularly interested in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing observations.

Successful candidates will have a Master’s/PhD in a relevant field (e.g., earth science, electrical engineering, image processing, and deep learning), expertise in processing and modelling geodetic data using open-source analysis tools, an ability to apply AI/ML techniques to remote sensing data; and demonstrated track record of impactful research or projects in topics related to the position. They will also have strong English and communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value.

Additionally, the successful candidate will be part of the large and interdisciplinary research teams at EOS, the Asian School of the Environment (ASE), and the School of Electrical and Electronic Engineering (EEE), helping to develop algorithms and systems for disaster mapping and climate change in collaboration with space industries and responding agencies around the world. They will collaborate with the geodesy group and many other groups at EOS/ASE.

Key Responsibilities:

• Architect and develop InSAR-based remote-sensing solutions and capabilities grounded in current research to address needs of scientists and external stakeholders
• Coordinate and manage application development and experimentation efforts across projects and synergies
• Conduct feature experimentation and develop applications both independently and in a team
• Help to mentor Research Assistants/Associates

Job Requirements:

• Master’s/PhD in Earth science, geophysics, geodesy, physics, electrical engineering, natural hazards, computer science, machine learning, or a related field.
• Demonstrated expertise in processing SAR data (with open-source tools such as ISCE or GMTSAR) for surface deformation measurement and change mapping.
• Strong technical skills in data processing for remote sensing applications; experience in optimizing and implementing automated processing pipelines (in cloud, HPC environments) for multi-modal, large remote-sensing datasets for machine and deep learning desired.
• Evidence of the ability to write and present at the level required for peer-reviewed scientific journals and international conferences, which will usually be in English.
• Evidence of independence in research direction and team spirit.

Interested applicants should submit a CV, list of publications, research statement, diversity and inclusivity statement, and the names and contact information for three referees. For additional information please email Assoc. Prof. Sang-Ho Yun at [email protected]. Applications will be reviewed on an ongoing basis.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

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

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

KEY JOB PURPOSE

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team focuses on the fabrication of high efficiency large-area perovskite panels in our flagship project, working towards the development of world leading perovskite photovoltaics as well as module integration.

KEY RESPONSIBILITIES

The job scope includes:

• Fabricate perovskite solar cells with 25% power conversion efficiency
• Improve device stability of highly efficient perovskite solar cell through material and device innovation
• Development of fabrication processes, material characterization and reliability testing capabilities for the perovskite photovoltaics on a weekly basis
• Dedicated to the rapid development of highly efficiency perovskite solar cells
• Conceptualize and test of new halide perovskite compositions and device configurations for enhanced stability and efficiency
• Design and test solar cells in various sizes
• Report writing and results presentation
• Regular maintaining of research and study records, conceptualize, execute and interpret scientific experiments
• Identify critical research pathways through assessment of internal results and literature review
• Take responsibility for maintaining lab equipment and follow safety protocols
• Interface with equipment vendors to meet project needs
• Work closely with internal colleagues in Singapore and China to work in company target.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

• Master or PhD in Materials Science, Chemistry or related fields with in-depth knowledge of materials (especially perovskites), device physics and processing
• Previous experience in fabricating p-i-n or n-i-p typed of perovskite solar cells with high efficiency, experience in device certification is a plus.
• Expertise in materials characterization techniques.
• Good skills in time management, experiment design and data analysis.
• Good communication and interpersonal skills

We regret that only shortlisted candidates will be notified.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
• Python web frameworks (e.g. FastAPI)
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
• Python web frameworks (e.g. FastAPI)
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

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

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

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

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

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

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

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

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Company’s Profile

Our client is a reputable Business Managed Services provider in Singapore with a proven track record of providing excellent service to their esteemed clients across public, private, and people sectors. Offering a wide range of services, from finance and payroll to HR and customer care, they specialise in helping businesses transform and streamline their operations. They are seeking a Training & Operations Executive to join their team and contribute to their ongoing success.

Location: Alexandra (Office shifting to Bukit Gombak in Jan 2025)

Working hours: Monday to Friday, 8.00am to 5.30pm

Responsibilities:

• Logistics matters ranging from scheduling, room booking and security coordination.
• Timely updates to participants on class schedules, venues, and changes to the course dates.
• Support in preparation and dissemination of all necessary course materials (e.g. reports, attendance lists and end-of-survey links).
• Administer and collate end-of-course results.
• Be a point-of contact to trainers, vendors, and participants for the smooth running of courses.
• Updating authority of upcoming courses.
• Prompt invoicing and payment to trainers and vendors.
• Updating of attendance on authority’s platform including proper e-filing of documents for audit purposes, handling of ad-hoc projects.

Requirements:

• Min. Diploma in Business Administration, Human Resource Management or related
• Min. 1 year experience as a Course Administrator, fresh graduates are welcome to apply as well
• Independent worker and a team player.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312