Total 1,168 research associate job vacancies in D22 Jurong, Jurong Island, Tuas

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus on technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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.

JOB DESCRIPTION

Responsibilities:

• Responsible for leading and managing a large-scale grant-funded programme across various IHL/RI* collaborators and industry partnerships (*Institute of Higher Learning / Research Institute)
• Programme manager will be leading the programme proposal to secure funding and coordinate cross-project activities to accomplish strategic objectives by overseeing multiple project activities across various research institutes
• Organise and lead programme reviews with/across funding agencies, strategic oversight committee and senior management
• Build confidence within internal management and external stakeholders with regular programme reporting and establishing clear communication channels
• Manage a small team of project managers to ensure successful delivery of projects scope and targets via managing project risks, quality, delivery, scope, schedule, and budget.
• Oversight of the full life cycle of R&D projects and its product delivery – planning, organizing, executing and evaluating from conception to completion.
• Manage and implement project/programme changes and interventions to achieve project deliverables and mitigate risk.

JOB REQUIREMENTS

• Bachelor or Masters in any engineering / project management related discipline
• At least 5 year(s) of working experience in product development or research project would be preferable
• PMP certifications or equivalent will be advantageous
• Good level of understanding of technical/engineering processes in order to work effectively with project managers and teams throughout the project development cycle.
• Strong business acumen, driven to deliver customer requirements and project deadlines
• Outstanding programme/project management capabilities; i.e. planning, risk management, status reporting, budget tracking, benefits analysis, stakeholder management, resource management
• Proven track record of executing multiple successful programmes/projects
• A leader-cum-team player technically motivated to solve problems, innovate and deliver to internal and external customers
• Strong communicator with excellent interpersonal skills

Digital Supply Chain Group of the Resilient Value Chain Division at the ARTC is searching for a Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

Responsibilities:

1. Deliver tangible outcomes in technical projects: e.g:Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems. Implement state-of-the-art approaches and bring them to industry-readiness status.
2. Focus technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Abide by software development processes and procedures to ensure high quality of deliverables.
6. Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

• Good interpersonal and communication (verbal & written) skills.
• PhD in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
• Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
• Prior experience with AI in supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

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

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

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A PhD degree or Master degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

Summary

Responsible for product line quality and efficiency so as to achieve production KPIs. Introduce productivity improvement through Lean processes, automation, preventive maintenance and better tools / jigs / fixtures design. Managing engineering projects such as Digitalization, Automation, Localization, Cost Saving and NPI. Support Industry 4.0 digitalization of the entire production lines in Singapore Site.

Key accountabilities

• Responsible for product line yield and quality
• Support/lead Continous Improvements and Lean initiatives
• Support ISO9001, ISO14001 and ISO45001 audits
• Conduct RMA/DOA evaluations
• Incorporate ECs in production and ensure its full implementation
• Create, update work instructions and train production technicians
• Support mass production of NPI
• Ensure complete, up-to-date, accurate and accessible engineering records as well as maintain accurate BOMs, routings, work instructions and ISO documents

Requirements

• Minimum Diploma in Engineering/Science disciplines
• At least 3 years of relevant experience in manufacturing / production engineering
• Experience in Industry 4.0, Lean and Six Sigma
• Knowledge in analytical instruments will be an advantage
• Knowledge in ISO 9001, ISO 14001and 45001
• Experience in developing Work Instructions, BOM structure and routing hour
• Good communication skills both verbal and written

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

Key Responsibilities:

• Undertake research in resource allocation and data management for cloud computing and data-intensive applications.
• Conduct high-quality research on theoretical problems, algorithm design and analysis, and performance evaluation.

Job Requirements:

• A Bachelor degree in Computer Science or related disciplines from a reputable university
• Good knowledge in parallel and distributed computing, algorithm design and analysis, and optimization
• Relevant research experience with proven records
• Ability to conduct research independently
• Excellent communication and writing skills in English as required for research work

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Greet and welcome customers to create a friendly atmosphere.
• Help customers find products that match their preferences and needs.
• Provide detailed product knowledge and educate customers on fashion trends and features.
• Accurately and efficiently process sales transactions.
• Meet and exceed sales targets while ensuring high customer satisfaction.
• Handle customer inquiries, complaints, and returns professionally.
• Assist with housekeeping, inventory management, and stock checks.

Requirements:

• Possess retail sales experience, ideally in fashion or footwear.
• Excellent communication and interpersonal skills.
• Customer-focused with a positive attitude and dedication to customer satisfaction.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Your key responsibilities

· Support the Global Perfumery Supply Chain on Supply Network Design projects.

· Business Continuity Plan update 1-2 times/ year and case studies base on request.

· Maintain and improve existing reporting tools from across Supply Chain Inventory discipline, and the wider Supply Chain Network.

· Development and design of new tools and reporting to drive better understanding and decision making for Supply Network Optimization and Inventory Community.

· Help implement and drive process improvement across our Global Supply Chain and related functions like MSS (Material Strategy and Solution) and MFG (Manufacturing).

· Interface with the Group Planning Analytical teams to drive enhanced capability in the standard analytical platforms and create better end user experience.

· Help drive and improve the use and governance of Supply Chain Planning Masterdata.

· Continuously collaborate with regional team on projects and performance tracking..

You bring

· Polytechnic or University graduated in Business studies, Supply Chain, Economics or Data Analytics.

· You have an Advanced level of English.

· Pro-active, positive attitude, responsible and willing to learn.

· Excellent communication skills and team spirit.

· Knowledge of MS Office applications, and SAP & Python knowledge is a plus.

Overview

Reporting to the Global Automation Manager, this is a central engineering role. The key focus will be responsible for the identification, prioritization, delivery, and management of OT (OPERATIONAL TECHNOLOGY) capital spend across the business.

The OT Lead will be the key decision maker dealing with 3rd party consultants delivering large IT/OT projects e.g., Digital Factory, System Platform Migration, IT (Information Technology) /OT projects and supporting other key initiative within cybersecurity.

Responsibilities

Capital Execution, Security & Technology Lifecycle:

• Work with the broader teams (PGCS IT/Global IT, Operations/Maintenance) to ensure flawless execution of the strategic programs and technology lifecycle with a focus on delivering business case benefits.
• Disaster Recovery and Cyber Security – develop and maintain disaster recovery and cyber security incident response plans to ensure business continuity for the OT layers.
• System Management - Coordinate system upgrades changes, testing, release / patch management, vulnerability management, onboarding, and integration of new OT environments.
• Technology Leadership – provide leadership and expertise for the operation and continued evolution of Aveva solutions, digital OT systems, cloud technologies, standards, and communication protocols.
• System Availability – Maintain high availability of the enterprise managed applications and digital system critical for operating the changing network.

Standardisation & Training:

• Ensure all projects are designed and executed to the PGCS automation and global PepsiCo specifications standards, ensure all projects meet compliance standards and industry best practice.
• Develop and provide technical training at all levels on the manufacturing sites to ensure effective handover of OT systems / projects.
• This role requires a significant skill set as this role is both a technology leadership role and a team leadership role. This role will require Technology Leadership requiring the role to provide leadership and expertise for the operation and continued evolution of Aveva solutions, digital OT systems, cybersecurity, cloud technologies, standards, and communication protocols and Team Leadership to manage and lead a team of OT and digital operations professional to support our growing digital projects within both staff members and third-party vendors.

People Management:

• Team Leadership: manage and lead a team of OT and digital operations professional to support out growing digital and IT/OT convergence projects.
• Partnering with IT is key to this role.
• This role requires significant technical competency in the automation and operational technology field and the ability to influence key stakeholders to drive change in operational methods and the ability to manage teams of contractors and staff to deliver capital projects to a high standard within committed budget and schedule.
• Other adhoc duties assigned.

Qualifications

• Automation or Engineering Degree/Master coupled with 10 years plus demonstrated track record in chemical or pharma or food environment.
• Knowledge and experience in defining and implementing security strategies and polices for OT environments.
• Understanding of ICS (Industrial Control Systems) policy and architecture standards
• Strong background in Risk Management and Analysis
• Strong IT knowledge (networks, servers, databases, OI (Operations Integration) communication etc.)
• Experience with development, integration and project management of automated control systems including e.g., PLC’s, SCADA, Batching Systems etc.
• Experience with all appropriate industry standards (e.g., S88/S95/ISA62443)
• Experience with integrating control systems with MES and ERP (Enterprise Resource Planning)
• Demonstrated Industry 4.0 / 5.0 experience and results.
• Strong background in the development and implementation of Aveva products including system platform, OMI, historian etc.
• Cloud computing qualification
• Broad knowledge and experience working with IT and Digital systems, cloud technologies, web services and AI (Artificial Intelligence).
• Knowledge and experience of ITIL practices for service incidents, problem, and change management.
• Excellent communication skills, be organized and articulate
• Strong background in the development and implementation of new innovative automation solutions (robots, AGV’s, automated storage and retrieval systems.
• Change management advocative.

A Research Fellow position is currently available in the Nanyang Environment & Water Research Institute (NEWRI).

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

Key Responsibilities:

• Designing and synthesizing thin-film composite (TFC) hollow fiber membranes
• Processing, modifying, and incorporating COF materials into TFC hollow fiber membranes
• Characterizing COF materials and hollow fiber membranes
• Evaluating CO2 adsorption and separation performances

Job Requirements:

• PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
• Ability to work independently and as part of a team with strong initiatives
• Good communication, interpersonal and oral presentation skills.
• Good synthetic experimental skills for nanomaterials immobilization and hollow fiber membrane fabrication and modification
• Good knowledge of membrane-based gas separation process
• Good writing skills for proposal and report writing and publication in good academic journals

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

Responsibilities:

• Greet and welcome customers to create a friendly atmosphere.
• Help customers find products that match their preferences and needs.
• Provide detailed product knowledge and educate customers on fashion trends and features.
• Accurately and efficiently process sales transactions.
• Meet and exceed sales targets while ensuring high customer satisfaction.
• Handle customer inquiries, complaints, and returns professionally.
• Assist with housekeeping, inventory management, and stock checks.

Requirements:

• Possess retail sales experience, ideally in fashion or footwear.
• Excellent communication and interpersonal skills.
• Customer-focused with a positive attitude and dedication to customer satisfaction.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Be part of something altogether life-changing!

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity – so you can grow your career and expand your skills in the long term.

Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics.

The Warehouse Associate for Cytiva is responsible for receiving, storing, picking, staging and distribution of materials required for assembly/manufacture of product.

This position is part of the Logistics department located in Tuas South and is required to be onsite. At Cytiva, our vision is, to advance future therapeutics from discovery to delivery.

What you will do:

• Develop specific skills through on the job experience
• Coordinate warehouse operations including inbound (goods receiving) and outbound (shipment of finished goods) processing, inventory, order fulfillment and direct day to day activities of warehouse personnel
• Perform inventory cycle count, prepare inventory reports, manage inventory system and perform data entry

Who you are:

• 2+ years experience in storing and material handling
• Knowledge of computerized material flow methods & inventory control
• Prior experience using a forklift/ Material Handling Equipment (MHE)

Nanyang Technological University (NTU) Singapore seeks to appoint an Associate Professor in Environmental Data Science to be held jointly in both the Asian School of the Environment (ASE) and the newly established College of Computing and Data Science (CCDS). We encourage applications from researchers who leverage innovative data science methodologies to address pressing environmental challenges and advance our understanding of natural systems. We are particularly keen to recruit applicants whose research includes quantitative analysis of geoscience, climatologically or environmentally relevant observational data. Examples of areas of interest include but are not limited to environmental geochemistry; geophysics: natural hazards; atmosphere, oceans and climate science: remote sensing; ecological modelling; environmental sustainability; and geospatial analysis. The successful candidate will be expected to build and contribute to interdisciplinary research, teaching and leadership within our institution's Environmental Earth System Science and AI programmes.

The candidate is expected to lead and conduct high-impact research at the intersection of environmental and Earth system science and data science. We seek candidates who can develop and implement novel data science methodologies, which might include AI and machine learning, deep learning, and data analytics, to analyse environmental and/or Earth observational datasets, model complex environmental systems, and extract actionable insights.

The faculty member will be expected to teach undergraduate and graduate courses in environment and/or Earth system science, data science and related disciplines, incorporating innovative teaching methods and real-world applications of data science in environmental contexts and supervise graduate students and postdoctoral researchers, providing mentorship and guidance in research design, interpretation, and professional development.

Applicants must have a Ph.D. or equivalent degree in Earth system science, Environmental science, Computer science, Mathematics, Theoretical Physics or a related field and demonstrated expertise in areas such as artificial intelligence, machine learning, and data science, with a strong track record of research publications and external funding. Experience in applying data sciences techniques to address environmental and/or Earth science challenges, such as remote sensing data analysis, climate modeling, or environmental monitoring would be anticipated.

Both ASE and CCDS are diverse, interdisciplinary units that integrates geoscience, environment, ecology, and computational sciences in order to examine environmental challenges in Asia and globally. Researchers can access national computing facilities such as the National Supercomputing Centre (NSCC) Singapore and potentially align with AI Singapore (https://aisingapore.org/).

Both ASE and CCDS seek 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.

Emoluments and General Terms & Conditions of Service

The commencing salary will depend on the candidate's qualifications, experience and the level of appointment offered.

Application Procedure

Candidates are invited to submit their application packages (cover letter, full CV, research and teaching statements, names and contact details of three referees) through the NTU Career Portal: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Associate-Professor--Tenure-Track--Tenured--in-Environmental-Data-Science_R00018441 or by clicking the 'APPLY' button. Applications will be reviewed and shortlisted on an ongoing basis until the position is filled. Only shortlisted candidates will be notified.

All applications and materials submitted will be held in strict confidence.

For further enquiries, please contact the Search Committee Chair, Prof. Adam Switzer ([email protected]).

Candidate appying for this position shall assist in research and development AI-based robotics solution capable of autonomous decision-making and tasks execution.

Roles and Responsibilities

Assist in developing AI and deep learning systems for automated robot toolpath

generation and perception guided robotic applications.

• Analyse requirements
• Gathering and analyze data
• Define core features
• UI/UX design
• Develop, train and improve AI foundation model
• Develop and implement deployment strategy

Job Requirements

-Relevant Engineering degree with focus on software development

-Strong knowledge in programming languages

-Experience with machine learning framework

-Deep understand of robot manipulation and kinematics

-Strong problem-solving skill and analytical thinking

-Effective communication and presentation skill

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.

ANGEL Corp Lab is seeking to hire a Research Engineer to collaborate with the Principal Investigator (PI) and team to design and implement recommendation systems focused on sustainability.

Key Responsibilities:

• Collaborate closely with the Principal Investigator (PI) and team members to design and implement recommendation systems.
• Conduct detailed mathematical analyses and experiments to model user behaviors and preferences in the context of sustainability.
• Assist in the development and enhancement of frameworks and methodologies that support green recommendation practices.

Job Requirements:

• Master’s degree or Bachelor’s Degree in Mathematics or a closely related field.
• Ability to analyze complex and noisy data sets using advanced mathematical techniques to extract meaningful insights.
• Demonstrated experience with Large Language Models (LLM) and machine learning, with a focus on sustainability applications.
• Proficiency in programming languages and machine learning frameworks, particularly Python and PyTorch.
• Experience or previous research in the areas of Natural Language Processing (NLP), recommendation systems, or related fields is highly desirable.
• Excellent communication and written skills in English.

We regret that only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, the climate finance Cluster will collect data that measures and price climate risk exposures in financial markets, conduct preliminary data analysis and skillfully manage the projects for documentation purposes; all content is summarised here.

The Research Associate will be based in the Centre for Sustainable Finance Innovation (CSFI) of Nanyang Business School and will be responsible for developing preliminary data analysis to measure and price risks arising from climate change suitable for each company so that climate risk can be managed by companies and hedged by investors.

The Research Associate's activities are designed to provide a nuanced understanding of how climate change is discussed and documented within the corporate world. By bridging technology and environmental science, the role aims to enhance the strategic responses to climate risks, tailor interventions, and ultimately contribute to the sustainability goals of the region. This position not only demands technical expertise in data science and computational linguistics but also a keen understanding of climate science and strong collaborative abilities to work effectively in a diverse and multi-disciplinary environment.

Key Responsibilities:

• Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social responsibility reports, conference call transcripts, and the Management Discussion and Analysis section of companies’ annual reports.
• Construct a dataset that can produce a climate risk fact sheet containing essential information about various climate risk exposure (e.g., drought, flooding) of a region or a city.
• Handle data management and statistical analyses.
• Work effectively with colleagues from across the CTP, and with local collaborators in ASEAN countries.

Job Requirements:

• Master's Degree in data analytics or a closely related field.
• Ability to work independently to develop research in challenging environments.
• Collaborative, with an interest in working with other researchers and scientists (this is a large team project) to produce high-quality and impactful research.
• Interest in climate, green, or sustainable finance.
• Excellent knowledge of computational linguistic tools and machine-learning techniques.
• Experience with data analysis with Python and STATA.
• Excellent oral and written communication skills in English which is essential to conduct research.

Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document.

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

The National Institute of Education (Nanyang Technological University, Singapore) invite suitable applications for the position of Research Associate on a one-year contract (with possibilities of extension) at the Office of Education Research.

Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review

Project Information: The main objective of this project is to synthesize work on interventions that have been designed to level-up students who face difficulties in literacy, numeracy, and well-being from Primary to Secondary levels, including those from disadvantaged backgrounds or with special needs. By means of a PRISMA framework, we will conduct a systematic literature search and screening to identify eligible articles for each topic. A preliminary literature search will be conducted to estimate the amount of literature on each topic. As approach to synthesize the literature, we will use an umbrella review for each topic, i.e., focusing on meta-synthesis, synthesis, and review literature. The findings will allow the identification of effective interventions for each topic in facing challenges throughout the students’ school period.

Requirements:

Academic qualification:

• Master’s degree in Education and/or Psychology or similar areas

Work experience:

• Prior experience conducting systematic literature reviews
• Prior experience conducting qualitative and quantitative analysis
• Prior experience conducting meta-analysis
• Prior experience disseminating research findings targeting the general public and academic audiences
  

Desirable interests, skills, and attributes:

• Passion for teaching and learning
• Interest in effective teaching in school settings
• Have good communication and organizational skills
• Have good interpersonal skills
• Be a good team-player, proactive, and able to work independently

Responsibilities:

• To conduct systematic literature reviews (summarizing, coding, and organizing relevant literature).
• To compute different statistical analyses for the findings obtained.
• To contribute to research translation and dissemination of findings targeting the general public and academic audiences.
• To perform other tasks as required by the Principal Investigators.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00018408

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research---NIE-_R00018408)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Job Description:

• Support mechanical design, dynamic modeling, and structural simulations of mechanical systems.
• Contribute to software development for motion controllers using ROS/ROS2.
• Support development of front-end and/or back-end software for UI interfaces using the React framework.
• Participate in project implementation trials related to mobile robot fleet management.
• Support engagement in technical project planning and execution for development projects with industry partners.
• Prepare technical write-ups and presentations of project work.

Requirements:

• Strong knowledge of mechanical systems, particularly in the automotive domain.
• Proficiency in dynamic modeling and structural simulations.
• Experienced with ROS/ROS2 for motion controller development.
• Exposed to front-end and/or back-end software development, particularly using React.
• Understanding the use-cases of mobile robot fleet management.
• Exposed to NoSQL/SQL database management.
• Adequate technical project planning and execution skills.
• Able to perform basic technical writing and presentation abilities.

Minimum Qualifications/Specialization:

• Diploma in mechanical engineering, Mechatronics, Robotics, Computer Science, or a related field.
• Specialization in mechanical systems design and simulation, particularly within the automotive domain.
• Relevant coursework or experience in robotics, control systems, software development (with a focus on ROS/ROS2), and UI/UX design.
• Experience or training in software engineering best practices.

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.

Job Description:

• Support mechanical design, dynamic modeling, and structural simulations of mechanical systems.
• Contribute to software development for motion controllers using ROS/ROS2.
• Support development of front-end and/or back-end software for UI interfaces using the React framework.
• Participate in project implementation trials related to mobile robot fleet management.
• Support engagement in technical project planning and execution for development projects with industry partners.
• Prepare technical write-ups and presentations of project work.

Requirements:

• Strong knowledge of mechanical systems, particularly in the automotive domain.
• Proficiency in dynamic modeling and structural simulations.
• Experienced with ROS/ROS2 for motion controller development.
• Exposed to front-end and/or back-end software development, particularly using React.
• Understanding the use-cases of mobile robot fleet management.
• Exposed to NoSQL/SQL database management.
• Adequate technical project planning and execution skills.
• Able to perform basic technical writing and presentation abilities.

Minimum Qualifications/Specialization:

• Diploma in mechanical engineering, Mechatronics, Robotics, Computer Science, or a related field.
• At least 3 years of experience
• Specialization in mechanical systems design and simulation, particularly within the automotive domain.
• Relevant coursework or experience in robotics, control systems, software development (with a focus on ROS/ROS2), and UI/UX design.
• Experience or training in software engineering best practices.

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.

Job Summary:

This role offers the opportunity to contribute to our strategic decision-making processes by providing data-driven insights and analytics that support our operations across the Asia-Pacific region. The position is designed for an entry-level Business Insight professional.

Essential Duties and Responsibilities:

• Learn the overall business operation, including key drivers of revenue in each country.
• With guidance understand and analyse market trends and performance metrics to provide actionable insights.
• Assist in creating equations and models that identify key revenue drivers.
• With guidance provide predictive analytics to forecast future performance and trends.
• Interface with regional teams, country teams, finance, and other necessary functions to develop deeper insights.
• Help create a cohesive narrative and insights from data to support strategic decision-making.
• Support the preparation of comprehensive reports and presentations for senior management.
• Participate in special projects that support strategic initiatives and business development in the APAC region.

Education and Experience:

• Degree in Business Analytics, Data Science, Statistics, or a related field; a Master's degree in a mathematical area is preferred.
• Proficient in data visualization tools such as Tableau and Power BI.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent verbal and written communication skills with the ability to present complex data in a clear and concise manner.
• Proactive and able to work effectively in a team environment.
• Familiarity with statistical tools and programming languages is an asset.

Knowledge, Skills and Abilities:

• Should enjoy interpreting numbers, data and create a story from insight
• Experience with machine learning techniques and predictive modelling.

Roles & Responsibilities:

• Perform receptionist tasks such as greeting customers, scheduling of appointments, handling queries & complaints via phone, email or general correspondence.
• Maintain a high degree of patient care at the clinic, ensuring that patients have the best experience possible.
• Manage office supplies such as dental products, stationery, equipment and furniture.
• Ensure clinic operations run smoothly. Liaise with appropriate vendors/departments to resolve any issues.
• Submit dental claims via CHAS, Medisave and Dental Insurance portals.
• Perform administrative duties such as maintaining clinic records, fill out clinic forms, and file timely reports.

Requirements:

• Experience in customer service or reception duties (preferred)
• Possess good communication skills
• Applicants with no experience working in dental clinic operations but are willing to learn are welcome to apply
• Career returnees are welcome to apply
• Must be able to work on at least one weekend (Sat or Sun)

Benefits:

• Work-life balance - 5-day work week with no night shifts
• Annual leave
• Medical and dental benefits
• Premium corporate wellness membership
• Located near MRT station
• Career growth with structured training opportunities

The School of Materials Science and Engineering (MSE) at NTU is seeking a highly skilled and motivated research staff to join our team. We are looking for a researcher with experience in working with carbon and glass fiber composite materials, epoxies, fire resistance and/or mechanical behavior of composites.

Key Responsibilities:

• Work within the framework of the project to achieve and go beyond the project objectives.
• The candidate’s primary responsibility is to understand and improve the thermal insulation characteristics of epoxy based composites that are used for construction applications.
• The candidate is expected to interact and closely work within a multi-disciplinary and multi-cultural team.
• Expected to display a very high degree of professional ethics
• Understand the safety issues while working with composites and fire protection materials.

Job Requirements:

• Minimally Bachelor’s degree in relevant engineering or science disciplines is required
• Applicants with PhD preferred.
• The candidate is expected to be an expert in the handling/processing of epoxy composites and/or fire retardancy.
• The candidate is required to understand insulation mechanisms, and work towards project goals within the timeframe of the project.
• Relevant experience (flame retardant materials, manufacturing of epoxy composites, testing of fire resistance, etc.) is significant advantage.
• Flame retardancy background is considered as a huge positive.

We regret that only shortlisted candidates will be notified.

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research. NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused, and values-based programmes and initiatives.

An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 15 in the world for research impact in the field of Education.

The Psychology and Child & Human Development (PCHD) Department at the NIE comprises of a team of educators and psychologists passionate about the application of psychology to general education, as well as the specialized domains of psychology, counselling, early childhood and special education. We have a strong focus on teaching and innovative pedagogy, and a research culture that views psychology as an integrative discipline to help us advance our understanding of human thought and behaviour to help individuals adapt and learn at their best.

We invite suitably qualified applicants for a position as Assistant/Associate Professor in Counselling/Counselling Psychology. This position provides the opportunity to teach undergraduate and postgraduate students in the areas of counselling and counselling psychology, to engage practitioners in the domain of counselling and education, and to pursue research in areas of counselling and psychology.

Requirements

Successful candidates must have:

• A PhD or equivalent qualifications at the time of application in the areas of counselling and counselling psychology
• Applicants will be in a position of added advantage if he or she is eligible for registration by the Singapore Register of Psychologists and/or Singapore Association of Counselling
• A good track record in teaching and research interest in counselling/counselling psychology, preferably at a recognized institution of higher learning
• A promising trajectory in research and publication
• A strong commitment to and aptitude for teaching at both undergraduate and graduate levels
• Evidence of outstanding teaching and innovative uses of technology, as well as a keen interest in advancing the field through rigorous research
• Willingness to understand and support the work of colleagues beyond one’s niche area of expertise
• Excellent interpersonal and communication skills.

Responsibilities

Successful candidates will be expected to:

• Teach existing and new courses at the undergraduate, pre-service, in-service and graduate levels, more specifically related to counselling and counselling psychology courses (e.g., Basic Counselling, Group Counselling, Advanced Counselling Skills etc.)
• Supervise graduate students in their dissertations/theses as well as student practicum and/or fieldwork in multi-cultural settings
• Develop a research agenda and program, and to publish in reputable journals as is customary in his/her field
• Establish professional connections with local and international researchers and practitioners involved in the specific expertise area
• Share expertise with NIE colleagues through various platforms
• Undertake administrative and/or leadership roles and to contribute to other service-related activities at the department and Institute levels
• Engage in program leadership and curriculum design and development.

Application

Please submit your application to us together with the following documents through : https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Assistant-Associate-Professor-in-Counselling-Counselling-Psychology--PCHD---NIE-_R00017539

• A cover letter addressing how you meet the requirements of this position
• A Curriculum Vitae that includes work experience, qualifications, teaching experience, research accomplishments, full publication list (in APA format), and service records
• A statement of research interests
• A statement of teaching philosophy and experience and evidence of teaching excellence (if available)
• 1 to 3 of your best publications
• Contact details of three referees (3 academic referees OR 2 academic and 1 professional)
• Any other documents beyond those stated on the application form that demonstrates your qualifications and credentials.

Closing Date

This position will remain open until filled.

Other Information

More information on PCHD can be found at https://www.ntu.edu.sg/nie/about-us/academic-groups/psychology-and-child-human-development.

For enquiries, interested applicants may write to Ms Joey Lim at [email protected]

Note to applicants

Only successful candidates will be notified (via email).

Our culture believes in POWERING YOUR POTENTIAL. We provide global opportunities to develop your career, make your community a better place and work with today’s most innovative thinkers to solve the world’s toughest problems.

We believe in flexibility for you to explore your passions while making an impact through meaningful work within our inclusive workforce. That’s what #LifeAtCumminsis all about.

We are looking for a talented Service Equipment and Compliance Associate to join our team based in Tuas, Singapore. This is an Onsite role reporting to the Service operation Manager.

This position offers a long-term career with a global organization in the power industry and could be the next step in your successful Service career.

Key Responsibilities:

• Under minimal supervision, coordinates operations through interaction with operations management.
• Coordinates activities for different areas like Inbound, Outbound, Kitting, etc. based on direction from Operations management.
• Health, Safety & Environmental (HSE)
• Stop work and immediately report any major injury hazards.
• Report any work-related injury, illness, incident or hazard.
• Comply with HSE standards, policies, procedures & regulations.
• Use appropriate personal protective equipment.
• Promote interdependence by looking out for one another.
• Correct hazards within your control and capabilities.
• Recognize how your work may impact the environment and work to minimize the negative impact.
• Lead HSE Training and actively engage workforce.
  
• Quality
• Follows all applicable standard work, work instruction/process
• Documentation and established quality procedures.
• Raises issues to minimize cost and quality exposures.
• Performs quality checks for damage and for discrepancies between goods and invoices. Identifies and controls non-conforming material.
  
• Delivery
• Receive incoming goods, accurately sort, label/package, store goods and arrange storage to optimize warehouse space.
• Operates manual and automated equipment to pick, pack and ship product per the customer expectations.
• Demonstrates a high level of competency in core work skills.
• Works at the required cycle time or defined engineering standard.
• Teamwork Communicates effectively with the assigned team and with all support teams.
• Ensures training completion in line with business requirements.
• Seeks ways to improve quality, safety, process, material flow, and employee development.
• Ensures clean and orderly work area, including routine housekeeping tasks and machine cleaning tasks and supports planned operator care and maintenance tasks.
• Remains flexible and performs other miscellaneous duties, as required, to meet business goals.
• Works with peers, skilled trades and support staff to maintain and identify equipment in need of repair.
  

*Skills and Competencies

• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
• Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Customer focus - Building strong customer relationships and delivering customer-centric solutions.
• Decision quality - Making good and timely decisions that keep the organization moving forward.
• Drives results - Consistently achieving results, even under tough circumstances.
• Ensures accountability - Holding self and others accountable to meet commitments.
• Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Mode Selection - Evaluates and selects appropriate transportation mode and equipment type by lane through shipment volume analysis against business requirements to provide optimal shipping method (balance cost, quality and time).
• Trade Knowledge Application - Applies knowledge of relevant trade regulations to Cummins processes and systems to minimize trade risks and costs.
• Warehouse Inventory Control - Manages physical inventory utilizing inventory control methodologies to maintain inventory and meet customer expectations.
• Warehouse Operations - Utilizes warehousing tools, systems, and methodologies to meet defined metrics for inbound and outbound operations of a warehouse.
• Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

*Qualifications

• High school diploma or certificate of completion of secondary education or equivalent experience to the extent such experience meets applicable regulations.
• Manage all issuing of tools/parts requisitions, purchase order and GRN of all invoices
• Ensure that the Tool Store is maintained in a safe and clean condition
• Responsible for the control of all company owned Service Department tooling and Workshop equipment
• Carry our regular audits on Field Service Vehicles
• Maintain Engine and Chassis dyno's in accordance of manufacturer
• Maintain plant equipment (Waste Recovery, Cooling Towers, Overhead Cranes, etc.) in accordance to manufacturer requirements
• Maintain equipment and record in accordance to HSE and ISO standards
• Conduct regular toolbox audits for all technicians
• Provide recommendations to the Supervisor for replacement tooling as required
• Maintain adequate stocks of workshop consumables and provide recommendations to the Supervisor or nominee prior to purchasing
• Maintain the company tool movement register and ensure tooling is made available to all on and as needed basis
• Maintain measure and test equipment records for both company and employee tools.
• Records include, measure, testing and equipment register indicating equipment register record cards
• Maintain and submission of records of cooling tower, trade waste collections relating to waste, oil, fuel and sludge to the relevant Agencies
• Coordinate and monitor managed garment overall cleaning system with supplier
• Maintain tooling checks through QA audits and recording
• Responsible for the supply and control of all company Personal Protection Equipment
• Manage maintenance and regulatory inspection of company service vehicles
• Assist in the management of company service vehicles tracking devices
• Preferably with the followingsExperience with service tools and workshop equipment's
  Singapore Class 3 driving license
  Singapore Forklift license
  
• No cross-border relocation provided.

Compensation and Benefits

· Salary rate commensurate with experience. Flexi Benefit. Variable Compensation (bonus). Annual Salary Review. Life Insurance. Medical / Hospitalization Insurance.

At Cummins, we are an equal-opportunity employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, colour, disability, national origin, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.