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

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

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:

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

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Imperial Global Singapore – NH3-SOFC – Assistant Programme Director

Location: Singapore

Salary: S$12,000 – S$14,000, Monthly dependent on experience, plus performance related bonus

Hours: Full Time

Imperial Global Singapore, Imperial College London’s formal research and innovation entity in Singapore, is seeking an experienced senior postdoctoral research assistant as an Assistant Programme Director for the NH3-SOFC research programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global Singapore (IGS) offices, located on the campus of the National University of Singapore. This senior role will be responsible for leading the coordination of the NH3-SOFC research team, working across materials science, device engineering, electrochemistry, and in collaboration with the Programme Co-Directors based at both IGS and Nanyang Technological University.

The programme aims to develop solid oxide fuel cells that can effectively and efficiently use ammonia directly as a fuel source while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and performance loss, the research will explore new materials, catalysts, and cell designs. There will be two cell types of interest in this programme: i) oxygen-ion and ii) proton-conducting ceramic membrane electrolytes. The project will span the length scales, from materials discovery, including with computational approaches, through mechanical properties and microstructure optimisation to incorporation into short stacks for durability testing.

The Assistant Programme Director will be tasked with leading the coordination of the research team based at IGS, coordinating with the NTU based team in collaboration with the work package leads and contributing to management of the programmes finances and reporting requirements by working closely the IGS Associate Director. In addition, the appointee will be expected to lead an independent programme of research developed in collaboration with the Programme Director.

Full Job Description: https://www.imperial.ac.uk/media/imperial-college/administration-and-support-services/international-relations-office/public/imperial-global-singapore/IGS---SOF-C---Job-Description---Assistant-Programme-Director.pdf

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Please apply here: Assistant Programme Director Application form

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 31 January 2025.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Professor Stephen Skinner [email protected].

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Job Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

Job Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

Monday - Friday, 8.30am – 5.30pm

Location: Jurong East

Responsibilities

• Handle service requests for both scheduled and unscheduled maintenance in compliance with the Company’s Service Agreement.
• Diagnose and resolve any system issues encountered during maintenance service visits at customer locations.
• Oversee and ensure the quality of work performed by subcontractors during maintenance tasks, while providing technical support to other departmental staff.

Requirements

• With 1-2 years’ experience in service and maintenance of alarm, card access and CCTV systems.
• Candidate with building construction safety supervisor / Work-At-Height / Risk Management certs will be an added advantage.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Monday – Friday, 8.30am – 5.30pm

Location: Jurong East

Responsibilities

• Address equipment faults at customer locations.
• Coordinate with customers and subcontractors for project tasks.
• Supervise work progress to uphold schedule and quality benchmarks.
• Ensure prompt delivery of materials and equipment for site installations or fault repairs.
• Perform routine maintenance for clients.

Requirements

• 2-3 years’ hands-on experience in troubleshooting of card access systems, alarm systems, CCTV, etc
• Standby duty is required
• Possess a valid class 3 driving license

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 3 to 5 years' experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 0 to 3 years' experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit at least 6 months or till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit at least 6 months or till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit at least 6 months or till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

You can make a difference!

Be part of our team in inspiring children to love Science. Using our ready lesson packs, you will deliver hands-on lessons with props and materials.

Jobscope:

• Conduct lessons using lesson packs
• Mark students' work
• Give feedback to parents

Perfect for individuals who have:

• Certificate/Diploma/ Degrees in Early Childhood Care & Education or Diploma/ Degrees in Science, Computer Sciences, Engineering and related fields.
• Passion in teaching children
• Time for flexible work arrangement (eg, homemakers, part-time students, undergraduates)

Working days and timings:

• Able to commit to 2 to 3 hours per afternoon on weekdays between 4.00 to 6.30pm
• Able to commit to assignment for at least 4 months
• Available assignments at Pasir ris, Tampines, Simei and Siglap locations

Qualities:

• Pleasant and professional personal decorum with a caring and cheerful disposition.
• Have high level of self-motivation and independence.
• Fluent in written and spoken English.

Job Summary

A Postdoctoral position is available at the Berkeley Education Alliance for Research in Singapore (BEARS) with Assistant Professor Yanwei Lum. The goal of the project is to develop electrochemical systems for CO2 conversion and work with high sensitivity analytical tools that would be amenable for high throughput screening and reaction mechanism investigation. The candidate is expected to build model catalyst systems to investigate hypothesis and validate existing theories. They will also work in the framework of a larger team at BEARS for high throughput analysis and screening. It is expected that these will eventually lead to rationally designed catalysts for electrochemical CO­2 reduction.

Duties & Responsibilities

1. Perform materials synthesis and characterization.
2. Carry out electrochemical studies to determine electrocatalyst performance.
3. Perform product analysis and quantification using methods such as GC, HPLC and NMR.
4. Perform mechanistic studies of electrochemical CO2 reduction mechanisms.
5. Work with high sensitivity chemical analysis equipment.

Qualifications

Candidates must have obtained a PhD in Chemical Engineering, Chemistry, Materials Science and Engineering or related fields.

Candidates are required to have the following skillsets:

1. Materials synthesis for a variety of solid inorganic materials as electrocatalysts through various synthesis procedures.
2. A strong understanding and extensive experience in electrochemistry and electrocatalysis is a must
3. Working knowledge and experience in GC, NMR and HPLC.
4. Experience in operando catalyst studies (e.g. in-situ Raman, FTIR and etc)
5. At least 1-2 Publications in top tier journals (IF > 10)

Summary

A Postdoctoral Scholar position is available for 3 years (extendable by one more year) to work on a collaborative project on decarbonization. The position will be hired at Berkeley Education Alliance for Research in Singapore (BEARS) under Prof. Matthew Sherburne (Director, BEARS) and will be based at A*STAR’s Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) to work closely with Dr. Amol Amrute and co-supervised by Prof. Matthew Sherburne and Prof. Kedar Hippalgaonkar (Nanyang Technological University, NTU). The multi-institutional project involves AI, Machine learning, high throughput experimentation, and automation, with participants and collaborators from BEARS, NTU, ISCE2, NUS, and UC Berkeley, offering an exciting opportunity to work with international experts in the field, learn and develop new relevant skills, and build an international network.

Duties & Responsibilities

• Contribute to developing efficient catalysts for thermocatalytic CO2 conversion to chemicals and fuels.
• Synthesis of solid catalysts and characterization of catalytic properties using advanced methods.
• Operating single tube and high throughput catalytic reactor systems and data analysis.
• Drafting manuscripts and research progress reports.
• Communication of results by presenting at project meetings.

Qualifications

• PhD degree in Chemical Engineering, Chemistry, or Materials.
• Strong knowledge of heterogeneous catalysis, material synthesis, and surface characterization.
• Previous experience in catalyst design for thermocatalytic CO2 conversion is an advantage.
• Proactive, team player and good problem-solving skills.
• Data analysis and interpretation.
• Excellent oral/written communication.

• Full Time Position Available!
• Shift Required
• Location: Islandwide
• Basic + Allowance + OT
• NO EXPERIENCE REQUIRED

We're looking for Cashier & Pump attendant. NO Experience required as training provided.

Can work near to your place !

Job Description:

• Uniform is provided.
• Training is provided
• Preferred is 6 working days.

Job Requirments:

• Basic customer service.
• Basic cleaning.
• Physically OK.
• Can work shift, weekends, and Public Holidays.

EA License No: 19C9611
EA Personnel Reg No: R1433735 Teng Wei Mun (Celest)