Total 2,238 Science / R&D / Research job vacancies

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/RESEARCH-ENGINEER-%28LOGISTICS-&-SUPPLY-CHAIN-OPTIMIZATION%29/32506-en_GB/

We regret that only shortlisted candidates will be notified.

The Role

Are you passionate about solving complex logistics and supply chain challenges through cutting-edge modeling, simulation, and data science?

The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National University of Singapore is seeking a Research Engineer to join our dynamic team and contribute to innovation that drive operational excellence.

As a Research Engineer, you will:

• Design, build, and implement optimization models tailored to transportation and logistics contexts.
• Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems.
• Utilize commercial and open-source solvers such as Gurobi, CPLEX, and Google OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Apply data-cleaning techniques and statistical analysis to understand complex datasets.
• Create compelling visualizations using MS Power BI and Tableau.

Requirements

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Those with 1–2 years of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply.

• Proficiency in Python or similar programming languages and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools).
• Familiarity with simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Skilled in data visualization tools (MS Power BI, Tableau).
• Strong command of MS Office Suite

Location: NUS Kent Ridge Campus, Singapore

Ready to make an impact? Apply now and be part of a team that’s shaping the future of logistics and supply chain innovation.

Interested applicants can submit their CV to the NUS Career Portal

Job Description:

• Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.
• Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.
• Plan, coordinate, review and control production activities in order to ensure that workplace safety.
• Possesses positive attitude, proactiveness, common sense and good teamwork.
• Stir fry dishes as and when required.

Job Requirements:

• At least 5 Year(s) of working experience in the related field and industry.
• Long hours of standing during the working shift.
• Polite manner, energetic, cheerful, and hardworking.
• Self-discipline and self-motivated and enjoys interacting with people and serving customers.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28AI-&-Machine-Learning-for-Infectious-Disease-&-Public-Health%29/32508-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health invites applications for a Research Fellow to drive AI-centred research within a portfolio that spans decision-support for pandemic response, social network modelling, equitable AI for clinical applications, and developing culturally-congruent LLMs to advance behavioural modelling in public health.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. They will have significant latitude to shape their research direction within these themes and will collaborate closely with engineers, epidemiologists, clinicians, and policy stakeholders.

Key Responsibilities
• Develop and validate deep learning and machine learning models for behaviour modelling,
including foundation models, graph neural networks (GNNs), and sequence models applied
to public data for good.
• Prototype and evaluate reinforcement learning frameworks for simulating and optimising
public health interventions under uncertainty.
• Build AI pipelines for social network and information diffusion modelling; explore LLMbased
simulation of intervention scenarios.
• Publish findings in leading venues.
• Co-supervise junior researchers; contribute to grant reporting and proposal writing.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in computer science, machine learning, data science, computational epidemiology, or
a closely related field.
• Strong expertise in deep learning frameworks (PyTorch, JAX, or TensorFlow); experience
with LLMs or foundation models is a significant advantage.
• Proficiency in Python; familiarity with R is beneficial but not required.
• Experience in at least two of: time-series forecasting, GNNs, reinforcement learning,
NLP/LLMs, computer vision, or causal inference.
• Demonstrated publication record commensurate with career stage.
• Interest in real-world public health and policy impact; ability to communicate technical work
to non-specialist audiences.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

Job requirement :

· Interpersonal and leadership skills, with an ability to communicate effectively across customer.

· Strong ability to motivate team members

· Organizational skills, solving various unexpected problems

· Experience in sales and conflict resolution

Responsibilities：

· Supervise employees in meeting quality requirements, communicate issues to relevant senior managers

· Manage store relevant problem including the cash in cash out, product qualities and quantities, etc.

· Receive, track, and resolve complaints from employees and customers

· Maintain timekeeping and personnel records.

· Arrange timetable,content and jobs responsibilities for each employees.

Responsibilities

Audit, Compliance & Risk

• Support internal and external audit processes, ensuring timely delivery and effective closure of findings.
• Address compliance issues and respond to risk management findings, ensuring effective resolution and reinforcement of internal controls.
• Ensure strong governance, tracking and reporting of key initiatives.

Corporate Operations & Process Improvement

• Identify corporate operational and process issues, coordinating with various stakeholders to ensure timely resolution and strengthen controls.
• Partner with departments to maintain consistency, efficiency, and alignment across corporate initiatives.
• Support the development and execution of corporate strategy, including mid to long term planning initiatives.
• Review and enhance standard processes and internal controls to improve governance, transparency, and operational integrity.

Financial Planning & Management Accounting

• Support management accounting by coordinating branch budget planning, ensuring alignment with corporate financial objectives for bank-related service offerings.
• Monitor budget performance and analyse variances to detect and address potential financial risks or inefficiencies.
• Facilitate budget control processes, collaborating with internal stakeholders to enforce financial discipline and optimize resource allocation.

Head Office Coordination & Policy Alignment

• Coordinate with global offices to align business priorities and ensure consistent execution.
• Coordinate and support cross-border talent initiatives overseas talent exchange programs collaborating with internal teams and headquarters to ensure seamless execution.
• Review Japan-side corporate policies, ensuring alignment with Singapore Branch requirements and addressing branch-level policy queries.

Reporting & Decision Support

• Analyse organizational performance and propose data driven improvements.
• Support expansion initiatives, including outsourcing strategies and resource planning.
• Deliver accurate and insightful reports to support informed strategic decision-making and operational efficiency. 
• Perform any other adhoc duties as assigned.

Requirements

• Bachelor’s Degree
• Understanding of financial management, management accounting, and budgeting processes.
• Proficiency in Japanese is preferred as this role needs to prepare reports in Japanese for reporting to Head Office in Japan. 
• Minimum 7 years of relevant experience in corporate planning, governance, risk management, financial management, or internal audit.
• Good knowledge of system project management.
• Experience coordinating internal and external audits.
• Prior experience in banking or financial services is an advantage.
• Background in liaising with cross-border or cross-cultural teams.
• Possess knowledge of corporate functions.
• Proficiency in budget planning, financial analysis, and management reporting.
• Understanding of compliance, risk issue remediation, and internal control mechanisms.
• Proficiency in MS Office
• Strong analytical ability to interpret financial, operational, and risk-related data.
• Ability to develop documentation, governance reports, and audit-related materials.
• Effective communication with senior management and HQ counterparts.
• Capability to manage sensitive information and uphold organizational integrity.
• Project leadership experience, including planning, mobilizing, and delivering outcomes.
• Strong interpersonal communication and written skills
• Possess strong strategic, logical and analytical thinking skills
• Proactive, self driven, and able to work independently.
• Collaborative mindset with a service-oriented attitude.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking a Software Engineer to contribute to the design and development of AI-powered applications across the full stack. This role involves building responsive frontend user interfaces and supporting backend services, while integrating AI/ML capabilities into real-world systems. You will work closely with senior engineers and R&D teams to translate ideas into functional features, contributing to both prototyping and production development.

You will assist in developing UI components using modern frameworks such as React or Vue, and support backend development of APIs and services (REST/GraphQL) for data processing and application logic. The role includes working with AI/ML integrations such as LLM APIs, implementing data pipelines for ingestion and transformation, and ensuring system functionality, performance, and reliability. You will operate in an R&D environment, learning to balance rapid experimentation with good engineering practices.

Key Responsibilities

· Contribute to the development of full-stack applications, including frontend UI and backend services

· Build and maintain UI components using modern frameworks (e.g., React, Vue)

· Support development of backend APIs and services (REST/GraphQL)

· Integrate AI/ML capabilities (e.g., LLM APIs) into applications under guidance

· Assist in implementing data processing workflows and pipelines

· Participate in debugging, testing, and performance optimization of applications

· Collaborate with cross-functional teams to deliver user-facing features

· Contribute to prototyping and iterative development in an R&D environment

· Follow best practices in code quality, testing, and version control

· Learn and adopt modern tools, frameworks, and development practices

Qualifications

Must-Have Qualifications

· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, with 2–5 years of experience in software development

· Working knowledge of frontend frameworks (React, Vue, or similar) and backend programming (Python, Node.js, Java, or equivalent)

· Basic understanding of API development and system design principles

· Familiarity with integrating external APIs (including AI/ML services is a plus)

· Exposure to cloud platforms (AWS) and development practices such as version control and testing

· Strong problem-solving skills and willingness to learn in an R&D environment

· Good communication skills and ability to work in a team

Strongly Preferred

· Exposure to AI/ML concepts or experience building simple AI-powered applications

· Experience with data processing, scripting, or working with structured/unstructured data

· Familiarity with modern UI/UX practices or building interactive applications

· Internship or project experience in full-stack or AI-related development

· Understanding of Agile/Scrum development processes

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

We are seeking a motivated and talented Research Fellow to join the laboratory of Associate Professor Guillaume Thibault and contribute to an exciting research program at the interface of host-pathogen interactions and cellular stress biology. This is an opportunity to work with a multidisciplinary team of experts at NTU and partner institutions, and to make a meaningful contribution to our understanding of chronic wound pathogenesis.

Key Responsibilities

• Plan, design, and implement independent research projects within a collaborative, multidisciplinary program

• Acquire and apply expertise in host-cell biology, including mammalian cell culture, fluorescence microscopy, flow cytometry, and molecular biology techniques

• Take a lead role in manuscript preparation and present research at international conferences and meetings

• Co-mentor graduate students and research staff

• Communicate regularly with principal investigators, collaborating colleagues, and lab members

Job Requirements

• PhD in cell biology, biochemistry, molecular biology, or a related field

• Hands-on experience in mammalian cell culture, fluorescence microscopy, flow cytometry, and standard molecular biology techniques

• Excellent written and oral communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders

• At least one first-author publication in an internationally recognized peer-reviewed journal

• Ability to work independently and collaboratively within a large, international team

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

We regret that only shortlisted candidates will be notified.

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 candidate will be responsible for conducting research on creating and training LLMs for log anomaly detection and interpretation. Successful candidate will be part of an active research team led by Profs Gao Debin, David Lo, and Pang Guansong from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Process and handle publicly available log datasets
• Develop and design approaches for utilizing LLMs for log sequence analysis
• Perform large-scale empirical evaluation on the designed approaches
• Write research reports and papers on the obtained models and results
• Work with other team members hired for the same project
• Other duties as assigned

• Doctoral degree in computer science, information technology, or closely related disciplines from a reputable institution of higher learning, with a focus on machine learning or data science
• Past research experience on adaptation or tuning of large language models preferred
• Demonstrated experience and know-how on machine learning
• Excellent publication track records. Publications at top-tier AI/ML/cybersecurity venues will be advantageous
• Good analytical, technical and problem-solving skills•Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

Outreach Client Success Specialist (Survey Engagement Specialist)

Contract until Dec 2026 (renewable)

Working Hours: Mon-Fri office hours

Central : Havelock Road / Newton

Key Responsibilities:

• Operations: Collect data through phone and face-to-face interviews, ensuring a smooth and professional survey experience that fosters high response rates and customer satisfaction
• Strategy Development: Design and implement strategies to encourage online participation, reducing reliance on face-to-face interviews and optimizing survey response rates
• Questionnaire Design: Utilize modern techniques to design surveys that meet organizational needs while keeping pace with technological trends and improving operational efficiency
• Sampling Methodology: Apply advanced sampling methods that minimize survey fatigue among the public while ensuring the accuracy and representativeness of collected data
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data. Explore alternative data sources and apply imputation methods to handle incomplete data
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports, using data visualization tools to present findings effectively to stakeholders
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments

Programme Highlights:

• Gain practical experience in survey operations and statistical processes
• Rotate through different roles to understand various aspects of the department
• Build your communication and interpersonal skills by engaging with a wide range of survey participants
• Develop specialized expertise in areas that match your career aspirations

Job Requirements:

• Good tertiary qualifications
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• A keen learner and self-starter

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile https://sg.persolgo.com/job/details/13641

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Sustainable-Diets%29/32517-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to support a funded research project investigating knowledge, attitudes, and practices related to sustainable diets, their environmental implications (e.g. greenhouse gas emissions), and their association with cardiometabolic disease outcomes in a multi‑ethnic Asian population in Singapore.

Job scope:
• Support the development, adaptation, and implementation of a knowledge, attitudes, and practices survey on sustainable diets and environmental impact, including assisting with item refinement, pilot testing, and survey documentation
• Assist in administering and coordinating the conduct of the survey, including data integrity checks and response tracking, as applicable
• Manage, clean, and analyse survey data
• Support analysis of dietary data derived from food frequency questionnaires in large population-based cohorts
• Assist in deriving and validating diet quality indices (e.g. Planetary Health Diet Index)
• Support assessment of sustainable diet indicators, including environmental impact metrics where applicable
• Conduct literature reviews on sustainable diets, nutrition-related health outcomes, and planetary health
• Assist with data cleaning, management, and statistical analyses using epidemiological datasets
• Contribute to preparation of manuscripts, abstracts, and presentations for academic and policy audiences
• Perform other research-related duties as assigned by the Principal Investigator

Requirements:
• At least 1–2 years of relevant research experience, preferably in population health, nutrition, or survey‑based studies
• Experience working with survey or questionnaire data, including data entry, cleaning
• Familiarity with quantitative data analysis and interpretation
• Proficiency in at least one statistical software package (e.g. R, STATA)
• Good understanding of research ethics and data confidentiality in human subjects research
• Strong organizational skills and attention to detail, with the ability to manage multiple tasks and deadlines
• Ability to work independently and collaboratively within a multidisciplinary research team
• Clear written and verbal communication skills in English

The following knowledge and experience would be advantageous:
• Prior experience in survey development, pilot testing, or fieldwork coordination
• Familiarity with dietary assessment methods (e.g. FFQs, diet indices)
• Experience or familiarity with life cycle assessment (LCA) or environmental impact assessment, particularly in the context of food systems, diets, or sustainability research
• Experience contributing to manuscripts, reports, or conference abstracts

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following documents during application:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

Please note that only shortlisted candidates will be contacted.

Qualifications

• Bachelor's degree in Public Health, Nutrition, Epidemiology, Biostatistics, Environmental Health, Behavioural Science, or a closely related discipline

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design.
  Prefer 2-3 years of relevant experience.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

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Company Overview

The organisation is a collaborative research and innovation centre that works closely with industry partners to develop and deploy advanced manufacturing solutions. Operating within a strong public‑private partnership model, the centre focuses on driving industrial competitiveness through applied research, technology translation, and workforce capability development.

One of its core research groups specialises in smart virtual systems, leveraging artificial intelligence, optimisation techniques, and advanced modelling to enable intelligent, data‑driven decision‑making across modern manufacturing environments.

Role Overview

This role is suited for a motivated Scientist or Senior Scientist to lead and deliver research in modelling and optimisation for complex, enterprise‑level multi‑resource planning problems. The position offers the opportunity to push the boundaries of operations research while translating academic advances into practical, industry‑ready solutions across a diverse set of sectors.

The successful individual will bring strong technical expertise, the ability to lead research activities and project delivery teams, and excellent communication skills to engage both technical and business stakeholders. This role spans research leadership, project execution, and external collaboration, with a strong emphasis on real‑world impact.

Key Responsibilities

• Lead research and development of advanced optimisation algorithms addressing multi‑resource planning challenges such as production scheduling, capacity planning, and inventory optimisation.
• Collaborate closely with engineering teams to translate research outputs into deployable, industry‑ready systems.
• Define scientific research directions and develop innovative project proposals aligned with industry requirements.
• Drive competitive research funding applications and participate in collaborations with academic and industry partners.
• Publish research outcomes in leading international journals and conferences.
• Mentor junior researchers and contribute to long‑term research and capability roadmaps in enterprise optimisation.

Requirements

• PhD in Artificial Intelligence, Computer Science, Operations Research, or a related discipline, with a strong focus on optimisation, machine learning, or data science.
• Solid expertise in modelling and optimisation for planning and scheduling problems.
• Minimum of 3 years’ experience in research leadership and research project management.
• Proven capability in programming and algorithm development for optimisation and machine learning (e.g. Python, C#, .NET).
• Strong publication record in high‑quality international journals and conferences.
• In‑depth understanding of production planning, scheduling, and inventory optimisation domains.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly.
• Demonstrated experience applying optimisation techniques to real‑world, multi‑resource industry problems (industry project experience is advantageous).

• Develop research reports, briefs, and articles using clear and compelling data storytelling.

• Design, implement, and analyse research studies and surveys to identify emerging labour market trends and gaps.
• Provide advisory support on statistical, analytical, and modelling methodologies.
• Track labour market developments and recommend innovative approaches to data analysis and visualisation.
• Collaborate with internal stakeholders to ensure research outputs are accurate, relevant, and impactful.

Requirements

• Bachelor’s degree in any discipline, with a strong interest in data analysis, numbers, and pattern recognition.
• Minimum 2 years of experience in research, analysis, or data‑related roles.
• Strong written and verbal communication skills, with the ability to explain data clearly to different audiences.
• Self‑motivated, responsible, and highly detail‑oriented.
• Exposure to statistical or analytical tools such as SAS, R, Python, or STATA.
• Experience with data visualisation tools (e.g. Tableau or Power BI).
• Knowledge or experience in econometric or quantitative modelling is an advantage.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

The Senior Functional Consultant will support the implementation, rollout, and enhancement of Microsoft Dynamics 365 Finance & Operations – Supply Chain Management (SCM) solutions.
The role focuses on business process analysis, functional configuration, end‑to‑end functional testing, documentation, and stakeholder coordination for regional ERP programs.

Functional Responsibilities

• Gather, analyze, and document business requirements across Supply Chain Management areas, including:
• Procurement & Sourcing
• Inventory Management
• Warehouse Management
• Production Control / Manufacturing
• Master Planning & Demand Forecasting
• Logistics and Distribution
• Conduct business process workshops, As‑Is / To‑Be analysis, and fit‑gap assessments with business stakeholders.
• Configure Dynamics 365 F&O SCM modules in line with approved requirements and industry best practices.
• Prepare and maintain functional documentation, including:
• Functional Design Documents (FDDs)
• End‑to‑end process flows
• Configuration and setup documentation

Testing & Quality Assurance Responsibilities

• Define and manage end‑to‑end functional test scenarios covering SCM business processes.
• Prepare functional test cases and test scripts based on approved requirements.
• Execute and support System Testing and User Acceptance Testing (UAT).
• Validate end‑to‑end business flows across modules, integrations, and legal entities.
• Analyze defects, perform functional root‑cause analysis, and coordinate resolution with relevant teams.
• Support business users during conference room pilots (CRPs) and solution walkthroughs.

Stakeholder & Delivery Support

• Work closely with business users, project managers, and solution leads throughout the project lifecycle.
• Explain functional requirements clearly and validate delivered functionality against business expectations.
• Support change request analysis, functional impact assessment, and regression testing.
• Provide functional support during go‑live and post‑go‑live hypercare phases.
• Participate in regional rollout and deployment activities across APAC where required.

Job Requirements

Qualifications & Experience

• Bachelor’s degree in Information Technology, Engineering, Business, or a related discipline.
• Minimum 8 years of experience as a Dynamics AX / Dynamics 365 F&O SCM Functional Consultant.
• Strong hands‑on experience in Supply Chain functional areas.
• Experience supporting at least one end‑to‑end ERP implementation or major rollout.
• Knowledge or experience in Microsoft Dynamics AX 2012 is a plus, especially for legacy system support or migration initiatives.

Skills & Competencies

• Strong understanding of end‑to‑end supply chain business processes.
• Proven experience in functional configuration and end‑to‑end functional testing.
• Ability to define and validate business scenarios across multiple SCM modules.
• Strong documentation, analytical, and communication skills.
• Ability to work effectively in a contract‑based, project‑driven environment.

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Masters or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills