Total 6 quality assurance job vacancies in Transportation / Logistics category in singapore

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of the next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Who are we looking for?

We are seeking a highly skilled and motivated Air Quality Modeller to join HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers the post holder will lead on building various emission inventories and air quality models for Singapore which incorporate the various air pollution sources in the country and allow for linkage with the geolocations of participants of the Singapore 100K cohort (SG100K), including some geo-located behavioural data. The models will also be set-up and used subsequent scenario modelling to estimate the impact of interventions on air quality and health and disentangle the various sources through source apportionment. This role requires a multi-skilled individual that can work independently and collaboratively in a multidisciplinary team environment.

Key Responsibilities:

• Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking emission inventories to air quality models and spatially and temporally assigning exposures for human participants in subsequent epidemiological analyses and health impact assessments.
• Data, identification, production, and assembly: Collaborate with team and external scientists, national and local organizations, and conduct independent literature reviews to produce and synthesise the required data sources with high temporal and spatial resolution and to link data across various sources.
• Data verification validation: Identify and use various primary collected data and published secondary data from peer-reviewed and grey literature to verify and validate produced emission and air quality model outputs. Ensure model robustness through cross-checking, calibration, and validation through multiple iterations.
• Model building: Build operational and validated air quality models and link their outputs to human participants in static (e.g. at home address) and dynamic exposure (assigning exposures to other locations outside the residential address only e.g. while travelling) assignment for diverse population groups.
• Support: Provide technical support and training to researchers.
• Documentation: Create and maintain comprehensive documentation for model development, verification, and validation. Support project reporting and paper writing and submission to peer-reviewed journals.
• Innovation: Stay updated with the latest advancements in emissions and air quality modelling, and exposure assignment, to incorporate new technologies and methodologies.
• What skills will you need?
• Education: PhD degree in a relevant field.
• Experience: Proven experience in emissions and air quality modelling and validation.
• Technical Skills:

1. Expertise in emissions modelling
2. Expertise in air quality modelling and air pollution dispersion models such as ADMS-Urban and assigning exposures to other locations outside the residential address only
3. Expertise in geographical exposure assignment including for data with high temporal and spatial resolution
4. Practical experience of model building, verification, calibration, and validation
5. Understanding of health effects and health impact assessment methods
6. Proficiency with spatial analysis tools, databases, and libraries (e.g., ArcGIS, QGIS, PostGIS) and programming languages (e.g., Python, R) for GIS applications
7. Proficiency in programming languages such as R, more advanced coding e.g. C++ or Java would be an advantage
8. Knowledge of and interest in the study of air pollution’s health effects and its methodological challenges

• Communication: Excellent verbal and written communication skills in English, with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• Research Methodology & Critical Thinking: Strong foundation in research methodology, critical thinking, and problem-solving abilities
• Proficiency in Office & Collaboration Tools: Strong skills in Microsoft Office applications (e.g., Excel, Word, PowerPoint) and familiarity with collaboration tools (e.g., Teams, Slack, SharePoint, GitHub).
• Independent & Collaborative Work: Ability to work independently on complex research tasks while effectively collaborating with multidisciplinary teams across multiple institutions and projects.
• Ethical Research Practices: Commitment to maintaining high ethical standards in research, including data integrity and responsible conduct.

Preferred Qualifications:

• Publication & Presentation Experience: Experience in publishing research in peer-reviewed journals and presenting findings at conferences or academic settings.
• Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets.
• Knowledge of software development methodologies and best practices.
• Familiarity with remote sensing and GPS technologies.
• Experience working with sensitive (e.g., personally identifiable) data.
• Experience or exposure to environmental epidemiological studies.

What can we offer you?

• A stimulating working-environment with friendly, highly motivated colleagues.
• Opportunities to develop and implement new ideas in a creative environment.
• A competitive salary in line with your skills and experience.
• A comprehensive medical insurance cover as part of your employment.
• Opportunity to work as part of a world-leading scientific research programme.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.employmenthero.com/jobs/cambridge-cares-air-quality-modeller-ai-researcher-for-hd4-hk-jw-7h79g.

If you have any questions, please feel free to reach out to the HR team at [email protected].

Responsibilities

· Be the subject matter expert for business validations in the Forward and Reverse workstreams.

· Partner with Capability Architects to build and own test strategy, test plan, test scenarios and test cases leading to QA validations and sign-off on assigned projects.

· Work with third-party partners to perform end-to-end supply-chain integration testing.

· Evaluate and execute applicable test cases.

· Document all test results and ensure execution results up to date.

· Keep stakeholders well-informed of testing progress and statuses.

· Be able to articulate issues, problems, impacts, and support needs across different internal teams as well as external teams.

· Innovate and suggest out-of-the-box solutions to improve productivity and processes.

Must-Have Skills

· Supply Chain Management Major.

· At least 5 years of hands-on experience working on essential aspects of Order Management Forward Flow (O2C) and Reverse Flow (I2R/RMA).

· At least 2 years of hands-on testing experience working with Oracle Fusion Supply Chain.

· Hands-on experience in writing SQL queries and understanding/modifying XML files.

· Excellent documentation and communication skills.

· Well-versed in creating test plans and test cases.

· Great sense of urgency, thoroughness, and quality towards assigned tasks/goals.

· Hands-on experience in debugging problems through system logs.

Must have: In-depth supply chain management knowledge, QA expertise with functional testing, Oracle Fusion.

Nice to have: Python, Java- selenium

Good-to-Have Skills

· Hands-on experience in developing automation tests, preferably in Supply Chain.

· Hands-on experience in programming languages such as Java, Python.

· Experience with automated testing tools like Selenium.

· Knowledge of Electronic Data Interchange (EDI) and how the EDI signals are processed.

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Job Summary:

The role of the Distribution Surveillance Officer reports to the Lead, Distribution Audits and Surveillance. The candidate is required to support the Distribution Monitoring team in driving the analytics capabilities and insights to better identify emerging Distribution risks.

The candidate will also support the Lead, Distribution Audits and Surveillance in monitoring the trends of complaints, investigations key compliance risk indicators and sales metrics, which will be reported back to the different Governance Committee(s) in the form of regular MI reporting.

Job Description:

Distribution Monitoring

• Administer the firm-wide market conduct risk framework to better manage Distribution market conduct risks.

• Leverage analytics capabilities and insights to better identify emerging Distribution risks. This includes monitoring trends of complaints, investigations key compliance risk indicators and sales metrics.

• Engage and conduct trainings with distribution channels to discuss and create awareness on market conduct and sales compliance issues.

• Undertake social media scanning and monitoring to identify online postings that are not in compliance with regulatory or Company requirements.

• Provide regular MI reporting to Governance Committee(s) relating to market conduct, fraud and sales metrics.

One Sanction Framework

• Maintaining the central depository of any issuance of meted sanctions in PACS through the One Sanction Framework.

• Handling any internal or external queries relating to One Sanction Framework and Police Orders/Prohibition Orders from the Police or MAS.

Distribution Audits

• Conduct agency reviews to assess Prudential Supervisors' compliance with supervisory competence standards in accordance with MAS / LIA Guidelines.

Others

• Undertake ad-hoc tasks, projects or reviews as directed by Head of Distribution Monitoring or Head of Distribution Business Partner.

Who we are looking for:

Competencies & Personal Traits

• Self-motivated and driven

• Analytical and attentive to details

• Basic understanding of the insurance industry and operations

• Basic knowledge of regulations and industry guidelines applicable to the insurance/financial industry such as Insurance Act, Financial Advisers Act (FAA) and its subsidiary regulations, Monetary Authority of Singapore (MAS) regulations, Central Provident Fund (CPF) Board regulations, Life Insurance Association (LIA) guidelines

Working Experience:

• Preferably 1-2 years of experience in a compliance role in a financial institution or similar

• Preferably with experience in dealing with Distribution functions

Professional Qualifications:

• Preferably with Insurance-related certifications (e.g. FLMI (LOMA), CMFAS Module 5, 9, 9A & Health Insurance)

Education:

• Degree, preferably in Business, Insurance or Finance related fields Language:

• Strong command of the English language

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Responsibilities:

• Support the NPI (New Product Introduction) process and production runs.
• Provide support for various product configuration setups.
• Prepare and revise work instructions (W/I).
• Assist engineers in executing all production-related tasks.
• Conduct training on work instructions for new hires.
• Participate in ISO activities, including implementation and maintenance.
• Engage in Kaizen activities.

Requirements:

• Nitec or higher qualification in engineering with 1-3 years of experience in manufacturing environment.
• Willingness to work in shifts.
• Good team player
• Able to multi-task & work under pressure
• Ability to collaborate effectively with peers, engineers, and supervisors.

Interested candidates who wish to apply for the advertised position, please click on the APPLY button below to send in your resume or send to [email protected]

EA License No: 13C6305

Reg. No.: R1985234

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

You will ensure assurance of material supply at the right time, quantity and quality to meet production needs.

How You’ll Make an Impact:

• Timely execution of MRP supply, forecast and exception report to suppliers, ensure supplier delivery commitment meet production requirement
• Expedite deliveries and resolve material shortages to meet production needs
• Manage and resolve quality notification, change request, supplier returns, good receipts and invoice discrepancies in timely manner
• Maintain data accuracy and integrity and adhere to procedures
• Maintain optimal inventory level and minimize inventory holding

What You Bring:

While this list of qualifications may help an employee to succeed in this position, capable candidates may have a wide range of backgrounds or skills. If you have experience that aligns with the responsibilities of this role, we encourage you to apply.

• Bachelor’s degree or equivalent in Supply Chain Management, logistics, Business Administration or related discipline.
• Minimum 3 years of purchasing and planning experience in electronics and mechanical assemblies
• Experience in Manufacturing environment
• Possess good computer skills including MS Office and strong in Microsoft Excel
• Knowledgeable of SAP ERP will be advantageous

Who We Are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Recently voted a Best Place to Work, Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.

EEO Statement: Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with disabilities, and people of all races, ethnicities, genders, ages, and orientations are encouraged to apply.

Agency Non-Solicitation: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.

Quality Inspection:

- Conduct thorough inspections of vehicles undergoing maintenance and repair in the workshop.

- Examine completed work to ensure it meets BMW's quality standards and specifications.

- Verify that all repairs are performed in accordance with repair orders and guidelines.

Requirements:

- Proven experience as a technician or quality control technician in an automotive workshop

- In-depth knowledge of vehicle systems, components, and repair procedures

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )