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

• This position is for School of Computing and Information Systems (SCIS).
• Lead and develop independent research directions within the project, including problem formulation, methodological development, and empirical validation.
• Publish research findings in top-tier journals and conferences in Operations Research, AI, and related fields.
• Disseminate research outcomes through presentations and other scholarly channels.
• Contribute to translating research into practice through engagement with policy and industry stakeholders. Mentor graduate and undergraduate researchers involved in related projects.
• Support grant management and project coordination activities.
• Other duties as assigned.

• Applicants should indicate one or more areas of interest aligned with the following themes:
• Pillar 1: Supply Chain, Logistics, and Mobility Systems
  • Human-centered demand forecasting and adaptive inventory management.
  • Fairness-aware and multi-objective optimization for resource allocation.
  • Multi-agent and human-machine collaboration in logistics and transportation systems.
• Pillar 2: Emergency Response and Crisis Management
  • New paradigms for emergency responders and rescue systems.
  • Transfer learning and diffusion-model learning for diffusion/spread processes.
  • Human-centered contact tracing and crowd management.
• Pillar 3: Healthcare Operations and Policy
  • Data-driven modeling of healthcare demand, capacity, and congestion.
  • Design of operational policies under uncertainty (e.g., screening, triage, resource allocation).
  • Integration of behavioral, clinical, and system-level considerations in healthcare delivery.

• PhD (completed by start-date) in Operations Research, Industrial Engineering, Computer Science, Artificial Intelligence, Transportation, Logistics, or a closely related field.
• Strong background in optimization (e.g., integer/combinatorial optimization, stochastic/robust/online optimization, network models, queueing systems, simulation-based optimization).
• Strong background in machine learning (e.g., representation learning, sequence/time-series modeling, probabilistic modeling, or learning under distribution shift).
• Proven research track record (publications, strong writing, ability to frame contributions clearly).
• Solid programming skills; proficient in using AI tools for research.
• Ability to work independently, manage research milestones, and communicate effectively in a collaborative environment.
• Preference for candidate who has
  • Experience with large-scale, constraint decision problems (e.g., operations, mobility, logistics, healthcare, or emergency response)
  • Experience with multi-agent systems, multi-objective optimization, fairness-aware modeling, or human-centered decision-making approaches
  • Experience with reinforcement learning, diffusion or spread models, explainable AI, transfer learning, or learning under non-stationarity or distribution shift
  • Experience in developing reproducible research codebases (e.g., version control, experiment tracking, and documentation)

#LI-JN2

The School of Mechanical & Aerospace Engineering conducts research to enhance knowledge and drive innovation in urban mobility and to pave the way for Singapore's future land transport system. We are seeking to hire a Research Assistant / Associate to help in investigating the relationship between autonomous vehicles and path users on public paths. The role focuses on the design, development, and operation of experimental test rigs, including laboratory setups and field experiments.

Key Responsibilities:

• Experiment setup and testing

• Component assembly

• Sensors and hardware integration

• Data acquisition and analysis

Job Requirements:

• Education qualifications: B.Eng or M.Eng in Mechanical Engineering, Mechatronics, or related field.

• Good verbal and written communication skills, ability to work independently and in a team

• Proficient in mechanical experiment setup and testing, mechatronic systems integration involving sensors/actuators. Working knowledge of data acquisition and analysis, microcontrollers, and CAD tools is desirable.  

• Prior industrial or research experience in building experimental test rigs and mechatronics systems.

• Strong problem-solving ability, attention to details, and commitment to delivering high-quality research outputs.

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

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

HPE Aruba offers a comprehensive open and standards-based portfolio designed to address a broad range of customer segments, from small & medium businesses to the largest enterprises with advanced requirements for leading branch, campus LAN and data center solutions. HPE’s innovative technology and open, standards-based approach to networking is resonating with customers around the world. 

HPE Aruba is looking for an individual who is creative and self-motivated to fill the post of R&D Hardware Verification Engineer, holding responsibilities for the test and development of network connectivity devices used in our state-of-the-art network switches.

Responsibilities

• Validate next generation high-speed ethernet switching systems.
• Ensure performance of ethernet physical layer devices (Optical Transceivers, Direct Attach Cables, Active Optical Cables, etc.) with Aruba switches.
• Develop test methodology and execute verification testing to qualify ethernet physical layer devices with Aruba switches.
• Innovatively solve issues, drive completion of the project to schedule, and collaboratively network with other technical contributors.
• Collaborates and communicates with management and internal partners regarding design status, project progress and issue resolution.

Education and Experience

• Must have a Bachelor’s or Master’s degree in Electrical Engineering or related fields.
• A minimum of three years of professional experience in the environment of system testing is required.
• Proven track record in system test, test infrastructure characterization, automation or relevant engineering experience and background.

Knowledge and Skills

• Experience with design verification and system level stress test of complex electronic systems.
• Possess good knowledge and technical understanding of hardware design.
• Knowledge of high-speed ethernet protocols (e.g. XAUI, XFI, 25GAUI, XLAUI and CAUI-4), encoding (e.g. NRZ and PAM4) and optical/copper transceivers technologies is a plus.
• Strong analytical and problem-solving skills.
• Outstanding interpersonal skills with ability to work in team.
• Excellent written and verbal communication skills; mastery in English and local language.
• Familiar with programming languages such as Python and tools like itest, GitHub and Jenkins are a plus.

about the company

Randstad is partnering with a leading manufacturing client to hire a Facility Building Manager. In this role, you will be responsible for overseeing the daily operations, maintenance, and overall management of the building. You will ensure optimal operational efficiency, safety, regulatory compliance, and service excellence across all assigned sites.

about the job

• Oversee day-to-day site operations, ensuring the smooth performance of all M&E systems, including HVAC, electrical, plumbing, and lifts.
• Plan and implement both preventive and corrective maintenance schedules to ensure equipment reliability and longevity.
• Lead EHS initiatives, ensuring strict adherence to workplace safety regulations through routine inspections, risk assessments, and policy enforcement.
• Maintain and optimize essential manufacturing utilities (e.g., chilling systems, compressed air) and ensure strict environmental compliance for cleanroom and HVAC systems to prevent production downtime
• Prepare and oversee facility budgets, track key performance metrics, and manage external contractors to ensure quality and compliance.
• Train and guide staff while driving continuous improvement initiatives for facility reliability, environmental sustainability, and workplace safety.

skills and experience required

• Degree/ Diploma in Facilities Management / Engineering / Real Estate, or a related discipline.
• Min 8 years of relevant facilities experience in a manufacturing environment (ideally from cleanroom ISO 7/8)
• Preferably individuals with lean six sigma / PMP / Fire Manager certificatio
• Strong knowledge of facility operations, maintenance planning, and workplace safety regulations
• Able to commence immediate or short notice will be a plus
• The plant is running on 12 hour shift pattern , prepared to be call back when there is a need due to operation needs.

We encourage interested applicants to submit their CV to yitwei.kwan(@)randstad.com.sg

To ensure your application is fully considered, kindly include the following details:

• Your current availability
• Your salary expectation
• Your reason for separation from your current job

Please note that only candidates who are shortlisted will be contacted.

EA: 94C3609 / Reg: R1325913

We are seeking passionate and dedicated Part-time Mathematics Teachers who have a genuine interest in inspiring students, nurturing their understanding of the subject and passionate in teaching.

Here are the various Mathematics classes that Spring College International offers:

- AEIS Primary Level

- AEIS Secondary Level

- 'O' Level Mathematics / 'A' Level Mathematics

- Mathematics Tuition

Academic Qualifications:

• Possess an undergraduate degree in teaching or in a relevant discipline

Skills Required:

• Oversee and manage curriculum planning for the course being taught
• Ability to prepare course materials, lesson plan and exam papers
• Possess teaching experience to international students
• Committed to deliver and complete all lessons for the teaching assignment
• Maintain a safe, inclusive, and productive classroom environment.

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

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

• This position is for School of Computing and Information Systems (SCIS).
• Conduct high-quality research on video deepfake detection.
• Generating/Collecting video deepfake data.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on video deepfake detection or video analysis.
• Minimum 2 years of relevant research experience in video analysis.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer vision.
• Demonstrated experience and know-how on video analysis.
• Excellent working knowledge of video analysis.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

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-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

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-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

Key responsibilities:

The role of a Technical Delivery Manager (TDM) is to lead, guide and manage the technical aspects of projects through design, build and implementation phases. They are responsible for ensuring the successful delivery of technology projects by collaborating with cross-functional teams, managing project timelines, and overseeing the development process. TDMs play a crucial role in bridging the gap between business requirements and technical solutions, making them instrumental in driving digital transformation initiatives within organizations.

Overall Responsibilities:

• Manage the end-to-end technical delivery of large IT projects, including scope, cost, quality, and time management; stakeholder communications; risk, issue, and dependency management; and project reporting and governance.

• Develop and maintain project plans, status reports, and other project-related documentation to ensure effective communication among stakeholders and project team members.

• Lead and mentor a team of developers, providing guidance and support throughout the project lifecycle.

• Collaborate with cross-functional teams, including business analysts, project managers, and other stakeholders, to ensure alignment and effective communication.

• Identify and mitigate risks and issues related to technical deliverables, proactively resolving any roadblocks to ensure project success.

• Ensure adherence to coding standards, best practices, and security guidelines across all development activities.

• Provide regular updates on project progress, highlighting key milestones, risks, and issues to relevant stakeholders.

• Contribute to the continuous improvement of development processes and methodologies.

• Conduct code reviews and provide constructive feedback to team members to ensure high-quality deliverables.

1. Project Delivery Management

a. Plan technical deliverables (including any system enhancements and upgrades) to meet Project’s requirements within allocated budget

b. Manage and coordinate across different application teams to manage technical dependencies of the solution

c. Monitor and manage risks/issues related to technical delivery

d. Provide status update related to technical delivery

e. Report to Program and/or Project Manager for the strategic program

2. Requirements Management

a. Partner with SA & subject matter experts to understand and implement functional and technical requirements

b. Provide systems input to specification phase (e.g., effort estimates, high-level delivery plan) based on impact assessment (e.g., function points)

3. Design & Development

a. Partner with Domain Architects, Dev. Manager, and Security Architect to ensure solution design complies with enterprise design principles, security and control standards

b. Partner with Development Manager in managing application teams to build the enhancements

4. Test Management

a. Partner with Test Manager to ensure completion of SIT, UAT testing, performance/load testing and application security testing with quality results

b. Work with GIS to facilitate completion of penetration testing and remediation of findings in accordance with Mitigation Plan

c. Work with GIPS on Infra requirements.

5. Implementation Management

a. Prepare technical implementation plan across application teams

b. Coordinate technical implementation activities across application teams to ensure production cutover and adequate post-implementation support

Key Skills:

• Experience with managing end to end implementation of projects.

• Experience with managing and working with external vendors/teams.

• Database (Ability to use and understand for the purpose of analysis and design and investigation)

• Analyse Requirements and form solutions for the application.

[FOR THE 2027 ACADEMIC YEAR (COMMENCING JANUARY 2027)]

We are seeking qualified and trained Education Officers to join the Mathematics Department as Mathematics Teachers, commencing January 2027.

 Key Areas of Responsibilities

• Plan for and conduct Mathematics lessons

• Form Teachership and CCA duties

• Monitor and evaluate the progress and overall development of the students

• Keep up with the developments of the subject area, new resources, pedagogies and assessment and contribute to departmental efforts in finetuning teaching and learning resources 

• Teach, inspire and motivate students according to their individual pace and aspirations to their fullest potential

• To develop strong moral fibre and integrity among our students
  

Requirements

• Recognised Degree or professional qualification in the chosen or related discipline

• Formal teaching qualifications such as NIE PGDE Diploma

• At least 3 years of teaching experience at the Secondary level

• Strong passion for helping students develop as confident and purposeful individuals

• Strong sense of integrity, personal drive and initiative, commitment and team spirit

• Caring, responsible, driven and innovative
  

Successful candidates will be offered contract employment first. Remuneration shall commensurate with qualification and experience.

Only shortlisted candidates will be notified.

Research Assistant (1-Year Contract)

Job Overview

A government agency in the social service sector is seeking a Research Assistant on a 1-year contract to support research, evaluation and data analytics initiatives. The successful candidate will play a key role in conducting research studies, managing survey projects and generating insights to support policy development, programme planning and service improvement.

This role is suitable for individuals with strong analytical capabilities, an interest in social research and experience working with quantitative datasets. The candidate will work closely with internal stakeholders, research vendors and external partners to support evidence-based decision-making.

Key Responsibilities

Research & Survey Management

• Conduct literature reviews and synthesize research findings to support study design and project objectives.
• Assist in the development of research methodologies, survey instruments and data collection frameworks.
• Coordinate survey fieldwork activities and liaise with vendors to ensure timely project delivery.
• Support research studies and programme evaluations within the social service sector.

Data Analysis & Reporting

• Clean, process and manage survey and administrative datasets.
• Conduct statistical analyses using tools such as SPSS, STATA, R or Python.
• Prepare data outputs including tables, charts and dashboards to support reporting requirements.
• Draft analytical summaries, research reports and presentation materials for stakeholders.

Project Coordination & Stakeholder Management

• Track project timelines, milestones and deliverables to ensure successful project completion.
• Coordinate with internal stakeholders, external research partners and service providers.
• Support procurement, project documentation and administrative requirements where necessary.
• Assist in presenting findings and recommendations to project teams and stakeholders.

Requirements

• Good Degree in Social Sciences, Statistics, Economics, Public Policy, Psychology, Sociology, Data Analytics or a related discipline.
• Familiarity with literature review, research synthesis and survey design methodologies.
• Proficient in data analysis software such as SPSS, STATA, R and/or Python.
• Strong analytical, project management and communication skills.
• Ability to manage multiple projects and timelines effectively.
• Meticulous with strong attention to detail and data accuracy.
• Experience working with longitudinal datasets or large-scale survey projects will be an advantage.
• Prior experience in research, policy, programme evaluation or the social service sector is preferred.

Contract Details

• Employment Type: Contract
• Contract Duration: 1 Year
• Sector: Government / Social Service
• Location: Singapore
• Start Date: Immediate or upon notice completion

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

• MNC (Woodlands | Singapore)
• Basic: $3500 to $4500 + AWS + VB
• Monday – Friday (830am to 530pm)
• Company Transport Provided (Island Wide)
• Training Provided

Job Responsibilities:

• Supporting production troubleshooting and process improvement activities.
• Providing technical support to customers, including product applications, RMPS, and customer complaint investigations.
• Participating in new product development and product improvement projects.
• Preparing samples for customers and the Sales team.
• Maintaining laboratory equipment, quality records, and calibration activities.
• Supporting the sourcing and implementation of new laboratory equipment and methodologies.
• Assisting in maintaining the Quality and Environmental Management System (QEMS) and safety management system within the R&D department.
• Planning and executing assigned R&D projects.
• Preparing technical documentation, including product specifications, PDS, and TDS.
• Conducting laboratory trials and supporting commercialization at manufacturing sites.
• Providing technical training to internal stakeholders and customers when required.
• Participating in customer meetings, presentations, and business trips as required.
• Ensuring compliance with workplace safety requirements and maintaining good housekeeping practices.

Requirements:

• Bachelor's Degree in Food Science, Food Technology or a related science discipline.

• Minimum 5 years of relevant experience in the food industry, preferably in:
• Chocolate and confectionery applications; Specialty fats and oils; Product development; Technical service; or Manufacturing operations.
• Candidates with strong relevant experience in food applications and product development will be highly regarded.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)
EA Recruitment Pte Ltd
EA License No: 21C0492

Job Description :

* Need to Analyse the Construction Formwork drawings.

* Supervise different teams of Formwork workers.

* Able to do the Formwork as per the daily productivity target.

* Need to Coordinate & Work together with the Rebar work teams to finish the Formwork job on time.

Job Requirements :

* Must have Previous Singapore Work Experience.

* Must Have relevant Singapore institutes Certifications to Supervise & Carry out the Formworks.

* Able to Supervise & Do rebar works will be added advantage

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-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy