A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Ph.D/Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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

A Senior/Principal Process Development Engineer is responsible for developing or overseeing the development of chemical processes including low carbon processes as well as monitoring, troubleshooting and optimizing processes in a pilot plant leading up to a technology transfer. He/she will perform process design, engineering and scale-up of in a Low-Carbon Technology Translational Testbed (LCT3) on Jurong Island leading up to a technology transfer. This role requires good understanding and knowledge of the underlying key process/chemical engineering and scientific principles of low carbon technologies and uses computer aided engineering tools such as simulators, process and plant engineering tools for process development and engineering. This individual thinks analytically to solve problems and improve existing methods and processes.

Key Accountabilities

• Responsible for providing scientific and technical direction and/or development, design, and scale up of carbon capture, utilisation and low carbon hydrogen technologies
• Responsible for developing new projects, including timelines, milestones, methodological approaches, expected results and necessary resources.
• Responsible for the executing or planning/directing of laboratory-based or pilot-based experiments to support process development, scale-up campaigns and process optimisation leading up to technology transfer
• Lead or support multi-disciplinary team of scientist and engineers through technical challenges and contribute to the successful completion of projects
• Supervise and mentor junior process development scientists and engineers

JOB REQUIREMENTS

• Doctorate or Master’s degree in Chemical or Mechanical or other related engineering fields.
• Possess at least 10 years of experience in process development and engineering with good knowledge on process control and safety in the process or chemical industry
• Excellent working knowledge on various process technologies, scale-up & scale-down and process intensification methodologies or principles
• Has good working experience with relevant computer aided engineering tools including simulation (eg. Aspen Plus, AVEVA, Gproms etc.), and the use of detailed process models to support process design, scale-up and process optimisation during operations
• Experience in collaborating and has good appreciation with other related disciplines eg. electrical and instrumentation, automation, process safety etc.
• Ability to plan and/or execute experiments at laboratory and pilot scale (scale-up/scale-down) to support process development, troubleshooting and optimisation
• Working experience in a chemical production facility and familiarity with regulations, codes and industry best practices would be a bonus
• Working experience in process/plant engineering tools (eg. AutoCAD process/plant engineering, Aucotec Engineering Base, etc.) would be a bonus
• Possess technical leadership quality to lead team and/or supervise junior engineers
• Possess strong interpersonal, oral and written communication and organization skills
• Self-driven and meticulous individual who has the strong ability to multi-task and has good time management skills to deliver results under tight timelines
• Excellent written and oral communication skills for the timely documentation, presentation, and discussion of results in a fast-paced, multidisciplinary, team-based environment

Job Description:

• Understanding of Project Specifications, construction drawings and to ensure that all site activities comply with the regulations and client’s requirements
• Monitor site works to ensure the method statements and work procedure are strictly followed.
• Competent in carrying out supervision of structural works by identifying any non-conformity of contractor’s work site
• Ensure the Builder executes the work in accordance to Consultant’s instructions
• Check drawings for discrepancies and highlight to Consultant, suggesting possible solutions to prevent delays
• Conduct quality inspections and quality control of materials used for the project
• To ensure proper documentation of site inspection records, safety records and approved /as-built drawings
• Maintaining and updating site records on progress of work, housekeeping and preparing reports
• Verify the contractors’ progress payment, claim in terms of work done and materials/equipment delivered and stored on site
• Witness all the inspection, testing and commissioning sessions performed by the contractors to ensure compliance with designs and specifications
• Report to project QP / Project Consultants Team on quality and progress
• Period: 36 months
• Start from: January 2024

Requirement:

• Min Diploma in Civil Engineering or equivalent
• At least 4 years of relevant experience in supervision of residential buildings
• Resident Technical Officer Certificate accredited by IES / ACES
• Knowledge and Experience in institutional
• Conversant in statutory code and requirements
• Good team player with strong interpersonal and communications skills essential

Please indicate project involved, expected salary and notice period required in CV.

We regret that only short-listed candidates will be notified.

Job Overview:

We are looking for an individual with a passion for science who is highly motivated. A successful candidate will be part of a dynamic team of researchers working at the forefront of quantum technologies. In this position, you will be a member of Quantum Photonics and Information group and mainly work on continuous variable (CV) based on quantum information technology.

In this role, you will work on the following but not limited to:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Continuous variable (CV) quantum information.
• Large cluster state generation & characterization.
• Collaborate with other group members to exploit the advantages of CV quantum systems in various applications.
• Quantum metrology & sensing.
• Data processing, programming, and automation of lab setups.
• Scientific dissemination (journal papers, conferences, and patents)

Job Requirements:

• PhD degree in physics/optics, or closely related fields
• Candidate with relevant experience or PhD training experience are welcome to apply.
• Substantial hand-on experience in experimental research in quantum optics and quantum information is advantageous.
• Familiarity with laboratory equipment for quantum optics experiments, including lasers, optical components, and detectors.
• Excellent written and verbal communications skills.
• Ability to present research findings clearly and concisely.
• A passion for pushing the boundaries of quantum science and technology and a desire to contribute to ground breaking research.
• Self-motivated and passionate on research work
• Able to independently plan and execute research work
• Good team player
• Possess good critical thinking and problem-solving skills.

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.

To gear A*STAR up for the innovation-driven economy set out by the Research Innovation & Enterprise 2025 Masterplan, the Business Division (“Tech-Biz”) was being established in the Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) . The BD role will further strengthen ISCE2 in generating economic and societal impact for Singapore.

Importantly, the BD role will seek for new business opportunities to translate chemical solutions from early stage activities to handling of contractual agreements for R&D, licensing and grant management. BD will also play a national role in terms of grants preparations and support whilst , working closely with other divisions in A*STAR, as well as actively supporting I&E efforts in the wider ecosystem.

As part of the Business development team, you will:

Job Responsibilities

• Responsible for meeting business targets of achieving incoming industry revenues.
• Host company visits and arrange for site tours.
• Review of technologies, prioritization and establish strategies to commercialize A*STAR ISCE2 intellectual properties in the area of chemicals, decarbonisation and built environment.
• The candidate is required to manage, encourage, support the development and protection of intellectual property and establish IP and business strategies to assist in assessment of inventions, identification of potential markets and competitive technologies.
• Candidate will be required to also build business partnerships and technical collaboration opportunities to commercialise technologies out from research labs and to build the value chain, establishing the value chain with various key stakeholders.
• The candidate is expected to be proactive in scoping/ supporting and manage specific projects to develop initiatives in innovation, IP management creating an impact, including acquiring industrial grants and contracts through meetings with researchers and external entities.
• The candidate will need to demonstrate passion to work with scientists and industries to understand key challenges and find the right solutions to build relationship and understand the technology landscape, highlighting key trends to accelerate spin-out, licensing, and provide leadership and oversight to achieve desired success. The candidate should have strong negotiation skills.
• The candidate should have strong interests with technologies and demonstrate the ability to grasp quickly new scientific concepts and technologies and to identify the commercial potential would be require.
• To participate and support sustainability, decarbonisation events which may be hosted by the cluster or A*STAR

Job Requirements:

• Bachelor or higher degree in Science or Engineering
• Strong background, preferably 5 years of working experience in Chemistry or Chemical Engineering
• At least 4-5 years of Business experience, with strong industry network would be desirable
• Experience in product development and commercialization in industry or start-up preferred.
• Knowledge in handling intellectual property and management including identification, due diligence and protection of IP
• Experience in handling commercial contracts negotiations, project management skills to handle multiple projects efficiently and to work with local and international clientele.
• Key account management skills
• Effective oral, strong writing and communication skills to weave the value propositions for grants and power point skills would be important.
• Passionate with commercialising cutting edge technologies and creative problem-solving skills and ability to demonstrate initiativeness

A Senior/Principal Process Development Engineer is responsible for developing or overseeing the development of chemical processes including low carbon processes as well as monitoring, troubleshooting and optimizing processes in a pilot plant leading up to a technology transfer. He/she will perform process design, engineering and scale-up of in a Low-Carbon Technology Translational Testbed (LCT3) on Jurong Island leading up to a technology transfer. This role requires good understanding and knowledge of the underlying key process/chemical engineering and scientific principles of low carbon technologies and uses computer aided engineering tools such as simulators, process and plant engineering tools for process development and engineering. This individual thinks analytically to solve problems and improve existing methods and processes.

Key Accountabilities

• Responsible for providing scientific and technical direction and/or development, design, and scale up of carbon capture, utilisation and low carbon hydrogen technologies
• Responsible for developing new projects, including timelines, milestones, methodological approaches, expected results and necessary resources.
• Responsible for the executing or planning/directing of laboratory-based or pilot-based experiments to support process development, scale-up campaigns and process optimisation leading up to technology transfer
• Lead or support multi-disciplinary team of scientist and engineers through technical challenges and contribute to the successful completion of projects
• Supervise and mentor junior process development scientists and engineers

JOB REQUIREMENTS

• Doctorate or Master’s degree in Chemical or Mechanical or other related engineering fields.
• Possess at least 10 years of experience in process development and engineering with good knowledge on process control and safety in the process or chemical industry
• Excellent working knowledge on various process technologies, scale-up & scale-down and process intensification methodologies or principles
• Has good working experience with relevant computer aided engineering tools including simulation (eg. Aspen Plus, AVEVA, Gproms etc.), and the use of detailed process models to support process design, scale-up and process optimisation during operations
• Experience in collaborating and has good appreciation with other related disciplines eg. electrical and instrumentation, automation, process safety etc.
• Ability to plan and/or execute experiments at laboratory and pilot scale (scale-up/scale-down) to support process development, troubleshooting and optimisation
• Working experience in a chemical production facility and familiarity with regulations, codes and industry best practices would be a bonus
• Working experience in process/plant engineering tools (eg. AutoCAD process/plant engineering, Aucotec Engineering Base, etc.) would be a bonus
• Possess technical leadership quality to lead team and/or supervise junior engineers
• Possess strong interpersonal, oral and written communication and organization skills
• Self-driven and meticulous individual who has the strong ability to multi-task and has good time management skills to deliver results under tight timelines
• Excellent written and oral communication skills for the timely documentation, presentation, and discussion of results in a fast-paced, multidisciplinary, team-based environment

The Ocular Epidemiological Research Group at SERI conducts ophthalmic epidemiologic research in Singapore and Asia under the Singapore Epidemiology of Eye Diseases (SEED) programme collectively involving over 10,000 study subjects, with comprehensive clinical, image and genetic data. One of the projects including SEED data is ‘Diabetes studY in Nephropathy And other Microvascular cOmplications (DYNAMO-II)’. DYNAMO-II aims to determine the longitudinal relationship between retinal imaging parameters and long-term risk and progression of chronic kidney disease (CKD) and determine the predictive value of retinal vascular imaging measures in identifying patients at risk of CKD, and other adverse outcomes including renal failure, cardiovascular disease and deaths using both data-derived machine learning and retinal image-based “deep learning” algorithms with validation in different local and international cohorts. DYNAMO also includes a clinical cohort that recruits diabetic patients from clinics to predict the progression of CKD.

Job Responsibilities

• Perform data analyses including (but not limited to) data harmonization, data visualization, survival analyses, regression, and predictive modelling (traditional as well as machine learning models)
• Assist the Principal Investigator in developing and writing analytical plans including sample size calculations for grant applications and statistical analysis and interpretation of results for scientific manuscripts
• Proficient in using advanced data analytics software (e.g., STATA, SAS, R, Python)
• Interpretation and presentation of study results
• Read current literature to keep abreast of novel analytical methods, present them to the PI and key investigators and apply them for suitable projects
• Participate in the preparation of abstracts, posters and presentations
• Ability Perform rigorous quality checks to ensure the integrity, accuracy and completeness of data and planning timelines for delivering the results

Job Requirements:

• A Master’s /Bachelor degree in epidemiology, biostatistics or relevant disciplines
• Over 2 years’ experience working in research or healthcare with a Bachelor degree
• Good knowledge in data management and statistical analysis
• Good written and verbal communication skills
• Ability to work independently with minimal supervision and to multi-task several projects at a time

Note: Eventual package offered will commensurate with qualifications and experience.

A*STAR is spearheading a series of Strategic Research & Translational Thrust (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support.

Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Senior Associate/Assistant Manager for Administrative Support for all RO and SRTTs activities.

Roles and Responsibilities:

Reporting to the SRTT Director Corporate Services (DCS) to support the RO and SRTTs administrative activities, the role includes but not limited to:

1. General Administrative Support:

• Provide day-to-day administrative support.
• Handle correspondence, prepare documents, and manage office communications.
• Handle Procurement / Finance related matters, e.g., Raise budget memo for approval, raise purchase requests, goods receiving etc.
• Perform filing, data entry, and maintenance of office records.
• Any other administrative duties assigned.

2. Calendar Scheduling:

• Manage and coordinate calendars for RO, SRTT CIA and SRTT Central Initiative Directorates (CID) based on event requirements.
• Schedule meetings, appointments, and conference calls.
• Resolve scheduling conflicts and ensure timely reminders.

3. Travel Arrangements and Booking:

• Book flights, accommodations, transportation, and other travel-related services for work trips for visiting scientists, Advisory board members, senior management and staff.

4. Event Organization and Logistic Support:

• Support in the planning and organization of events, meetings, and conferences for all RO and SRTT activities.
• Provide logistic support for events, including registration and ushering.
• Coordinate the setup of event venues, manage attendee lists, and any other required tasks to ensure a smooth flow of activities.

Job Requirements:

• Degree, any discipline with at least 5 years of professional experience in an administrative or office management role.
• Able to leverage on digital dashboards for monitoring and tracking (Power BI, tableau etc.) will be a plus.
• Good communication (written and verbal) and interpersonal skills for good relationship management.
• Good analytical and problem-solving skills, resourcefulness, attention to detail, and good team player.
• Proficient in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint) and able to present information in a logical manner.

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for
• design and executive of centrifuge testing in this project.
• Design a wave generation inflight in centrifuge model.
• Model the impermeability of the new proposed modules, and its connection with the existing seawall.
• Data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD degree in relevant filed.
• Strong in basic geotechnical knowledge.
• An independent researcher.
• Strong in basic geotechnical knowledge.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivation in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability; written and spoken and able to present research findings.
• Open to fixed-term contract.

Monday to Friday: 08:30 AM - 05:30 PM

Location: Tuas

Responsibilities

Billing and Invoicing

Manage and maintain an accurate and up-to-date billing system.

Generate and issue invoices promptly to ensure timely billing.

Payment Collection and Reconciliation

Follow up on outstanding payments to ensure timely collection and proper allocation.

Perform account reconciliations to maintain accurate financial records.

Credit Control and Reporting

Execute billing, collection, and reporting activities within specified deadlines.

Monitor customer accounts for non-payments, delays, or discrepancies, and take appropriate actions to address issues.

Database and Records Management

Maintain accurate and updated customer records in the database.

Resolve payment discrepancies and reconcile accounts effectively.

Receipt and Cash Management

Process receipts and handle cash transactions in accordance with established procedures.

Process payments and prepare bank deposits efficiently.

Customer Service

Investigate and resolve customer inquiries in a professional and timely manner.

Respond promptly to queries from customers and sales teams.

Ad-Hoc Duties

Perform additional duties or projects as assigned by the supervisor.

Requirements

• 1-3 years accounts receivables and general accounting experience
• Knowledge of accounts receivable and general accounting principles
• Proficient in relevant ERP systems (Esker or Microsoft Dynamics 365 (AX))
• MS Office proficiency (Excel, Outlook, Word)
• Knowledge of regulatory standards and compliance requirements
• Attention to detail and accuracy
• Good verbal and written communication skills
• Time management and organizational skills
• Team player
• Able to work independently with minimum supervision

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We regret to inform that only shortlisted candidates would be notified

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

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

Monday to Friday ; 8.30am to 5.30pm

Location: Central

Responsibilities

• Provide chauffeur services for the boss and family members.
• Drive the boss to appointments, meetings, and other engagements.
• Pick up the vehicle from the boss's premises or the company as required.
• Safely operate the vehicle and transport the employer to various locations.
• Adhere to all traffic rules and regulations.
• Maintain the employer's vehicle, including regular cleaning, fueling, and coordinating maintenance or repairs (washing the vehicle at the boss’s premises 2-3 times a week, and daily vacuuming of the interior).
• Perform ad-hoc tasks as assigned.

Requirements

• Class 3 driving license and good communication skills.
• Able to work overtime 2 weekdays a week and must be punctual.
• Minimum of 2 years of experience as a personal/company driver (mandatory).
• Regular cleaning of the vehicle, including washing the vehicle at the boss’s premises 2-3 times a week (depending on the schedule) and vacuuming the interior.
• Ensure the tissue box and drinks in the car are replenished.
• OT forms must be submitted daily for sign-off, not just at the end of the month.
• Required to maintain a logbook documenting the distance traveled daily, fuel refills, etc.

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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 to Friday, 8am to 5pm

Location: Woodlands

Responsibilities

• Prepare shipping documentation
• Coordinate with internal customer service and warehouse to ensure on-time delivery to customer
• Liaise with the forwarder for shipment booking and collection
• Handle parts
• Others ad-hoc duties as assigned

Requirements

• A candidate with in-house shipper experience in a manufacturing company is preferred.
• In the future might change the shift to 12 hours
• Need to carry parts when required (up to 5kg)

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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

Salary: up to $3600

Duration: 6 months contract

Working Days & Hours: Mon-Fri Office Hours

Location: Science Park

Job Description:

- Participates in improvement initiatives and team building activities within customer service and across functional areas of core integration.

- Accurately process high volumes of part orders and service requests, including but not limited to part location and price determination, accurate cost and revenue account reflection, regular follow up with engineers and inventory management to ensure the customer's needs are met successfully and promptly.

- Prepares accurate pricing of part orders and returns based on factors such as foreign currency conversion rates, contract type and coverage, special customer discounts, part type category and subjective data from field service engineer as to reason for current part issue.

- Ensures accurate cost and revenue account are associated with parts, labor and expenses on each call, which requires solid understanding of cogs accounts, service types and service areas both internal and external.

- Determines shipping method based on numerous factors including part size and weight, contractual agreements with the customer, severity of system issue, and preferred carrier.

- Acts as customer liaison with Accounts Receivable to determine billing issues and find resolution.

- Maintains professionalism in working relationships with team, customers and others within the company.

- Ensure all areas of personal responsibility are handles promptly, accurately, and with outstanding customer service.

-Ad-hoc tasks/duties assigned by Superior

Job Requirements: Min Diploma/Degree in Supply Chain/Logistics/Business or similar w min 2 yrs of relevant order fulfillment experience, preferably in medical device/pharma

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Choose shift

• Monday to Friday, 7.00 am to 4.30 pm
• Monday to Friday, 4.00 pm to 1.30 am

Location: Upper Changi

Two-way company transport is provided from Woodlands, Yishun, Tampines, and Bedok.

Responsibilities

• Use routine work orders, schematics, wiring diagrams, parts and wire lists, and written or verbal instructions to build, repair, and/or test electrical, electro-mechanical, vacuum, pneumatic assemblies, subassemblies, and components.
• Perform electro-mechanical assembly operations, troubleshooting, and repair. Identify and correct errors.
• Observe all safety standards. Maintain a secure, safe, clean, and healthy work environment.
• Attend required health and safety training and adhere to safety and security policies, procedures, and practices.
• Promptly report accidents, injuries, safety hazards, or emergencies to the supervisor or Safety department.
• Follow operating instructions, use protective equipment when required, and use equipment and materials properly.
• Actively strive to prevent accidents and injuries.
• Use test fixtures, electronic measurement equipment, leak detectors, and/or vacuum pumps to test assemblies, subassemblies, and components. Enter data on a computer terminal, such as progress, work expense, and labor details.
• May perform computer programming, repair, or software installs.
• Receive parts and perform audits to ensure all necessary parts are available for built, test, and repair.
• Inspect parts for defects.
• Troubleshoot and improve processes.

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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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting lace to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Master's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting lace to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Key Responsibilities:

• Conduct research on differential privacy algorithms with applications in computational processes.
• Develop innovative ideas to enhance existing algorithms and frameworks.
• Collaborate on applying privacy-preserving algorithms to machine learning models.
• Analyse and interpret findings, ensuring scientific rigour and practical relevance.
• Prepare and submit manuscripts to leading conferences and journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR.

Job Requirements:

• Preferably, a Bachelor's degree in Computer Engineering, Computer Science, Electronics Engineering, or an equivalent field from a top-tier university, with an outstanding academic record (First-Class Degree or ranking top in the class).
• Familiarity with differential privacy is required, along with a strong foundation in mathematical training and proficient algorithm implementation programming skills.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

• Assist in designing and implementing research-related tasks such as data collection from various sources.
• Conduct literature reviews and summarize findings.
• Assist in developing research papers, reports, and presentations.
• Maintain accurate and organized records of research data and findings.
• Attend research-related meetings.
• Collaborate with the research team to achieve project goals.
• Assume additional responsibilities as assigned by the reporting officer/HOD.
• Effectively organises meetings.
• Timely replies to ethics board, administration related requests

Qualification Required and Area of Discipline

• Bachelor’s degree in social sciences/humanities, science, business or marketing.
• At least 1-year relevant experience.
• Good verbal and written communication skills
• Good interpersonal skills

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The SMU Urban Institute, launched in early 2024, is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing research projects at the Institute.

Work under supervision of PI (Principal Investigator) to create and operate a large-scale taxi/ride-hailing simulator in Singapore setting. The major responsibilities are:

• Refit an existing large-scale taxi/ride-hailing simulator using latest street topology.
• Process large datasets from LTA and Gojek to prepare for simulation calibration.
• Design an automated process to calibrate the simulation model, so that it is consistent with real-world data.

• Bachelors/Masters degree in Computer Science or a related computing focused discipline is required.
• Previous research experience is highly preferred.
• Excellent coding ability and experience in Python or Java is essential.
• Coursework in data structures and algorithms, probability and statistics.
• Experience with geospatial data analytics is a big plus.
• The candidate should provide a sample of significant project on github/bitbucket.

#LI-XL1

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

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

The Air Traffic Management Research Institute (ATMRI) is the first institute in Singapore to be entirely dedicated to Air Traffic Management research. As part of its agenda for innovation, it is seeking to recruit a Research Engineer to work on the AI-Assisted ATFM project, to deliver an operationally ready prototype of an AI enabled ATFM system. This job will be responsible for contributing to the research transition into development, by documenting existing AI tools, including those designed by ATMRI researchers, and integrate them into operational software development.

Key Responsibilities:

• Interpret research papers and program, for conversion into applicable software development. Develop a vision for transforming research papers into technologies ready for deployment.
• Design and develop the front and backend of the applied research, for operational use. Work closely with the researchers and stakeholders to design a user-centric, ready for development software that emphasizes the benefits for end-users.
• Rigorously document every aspect of the software development, for integration into industrial development.
• Participate in meetings and workshops with fellow researchers and stakeholder partners to discuss the future directions for research and development.

Job Requirements:

• Bachelor / Master of Engineering in Computer Science or a related field.
• Impeccable English writing and communication skills
• 1+ year experience in industrial software development
• Experience in the development of APIs, UI, authentication and actualization systems, with proficiency in several programming languages (Python, Java, C++…)
• Industrial or operational prior experience in air traffic services is a plus.

We regret that only shortlisted candidates will be notified.

Job Description & Requirement

The Integrated Circuit Design and System Department at IME is on the lookout for a skilled and innovative engineer to develop groundbreaking cryogenic analog/mixed-signal and RF circuits for quantum computing applications. In this role, you’ll collaborate with a dynamic team of IC designers and physicists, working on state-of-the-art prototypes that will revolutionize qubit technologies through high-fidelity control and read-out. Join us and be part of the next wave of quantum breakthroughs! Key

Responsibilities:

• Design and tape out advanced circuit blocks including low-noise amplifiers, variable gain amplifiers, ADCs, DACs, and mixers.
• Model and test circuits at cryogenic temperatures to ensure peak performance in quantum computing environments.
• Collaborate with a multidisciplinary team on system integration and technology demonstrations.
• Explore and develop innovative circuit and system solutions, contributing to cutting-edge inventions.
• Qualifications:
• PhD in Electrical Engineering or a related field.
• 4+ years of hands-on experience in transistor-level analog circuit design.
• Strong expertise in CMOS analog IC design methodologies, with a successful track record in tapeouts.
• Familiarity with the full analog IC design and verification flow.
• Proficiency in using IC testing equipment such as oscilloscopes, spectrum analyzers, etc.
• Ability to produce high-quality scientific publications and patents.
• A motivated team player who thrives on learning and innovation.