We are looking for an enthusiastic, self-motivated, innovative, quick learner with excellent interpersonal skills to work in National Metrology Centre. The successful candidate will provide technical support and leadership in:

1. Maintenance and quality assurance of national measurement standards in length and dimensional areas.
2. Establishment of international equivalence of length and dimensional measurement capabilities through participation in measurement comparisons.
3. Achieving international recognition for calibration and measurement capabilities in length and dimensional areas through peer-reviews by external experts; and undertaking peer-reviews of other national metrology institutes as a domain expert.
4. Dissemination of the national length and dimensional standards and measurement technologies to the industry through calibration and measurement services and R&D in metrology.
5. Developing new measurement solutions, and building new metrology capabilities and services based on emerging needs of the industry; and developing programmes to enhance technical competencies of lab personnel.
6. Raising measurement capabilities of industry by conducting consultancies, training and proficiency testing in length and dimensional measurements.
7. Supervision of students and trainees from industry under attachment programmes.
8. Conducting technical assessments under Singapore Accreditation Council-Singapore Lab Accreditation Scheme, and training of new technical assessors.

Job requirements

1. Bachelor degree in Engineering or Physics.
2. 0 to 3 years of relevant experience preferred.

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 National Institute of Education invites suitable applications for the position of Research Assistant/Associate on a 3-month contract at the Office of Education Research (OER) with a possibility of extension for one to two years.

Title for Project 1: How do Singaporean children understand “I can choose”? Phase 2: Examining early development of free will, mindset, achievement goals, and persistence

Title for Project 2: Singaporean Children’s Emotion Socialization

Introduction for Project 1:

The proposed study aims to address three objectives with three studies.

Objective 1 (Study 1): Examine individual differences in Singaporean children’s achievement-related beliefs, goals, and memories. We will interview Singaporean children aged 4y to 10y on questions regarding their free will belief, mindset, achievement goals, and achievement-related memories. We will examine relations between these measures, and whether they differ from results from American children.

Objective 2 (Study 2): Trace Singaporean children’s early achievement-related behaviours and parents’ reactions to it. For 3 visits (1.5y, 3y, 4y) from a longitudinal study (BE-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task.

Objective 3 (Study 3): Investigate how early achievement-related experiences predict 4-year-olds’ achievement-related beliefs, and explore potential moderating factors. Children from Study 2 will be interviewed with questions used in Study 1 to examine the relation between children’s earlier achievement-related experiences and later achievement-related beliefs. We will also explore the potential moderating roles of external factors such as family background, and internal factors such as children’s temperament.

Introduction for Project 2:

The specific objectives are as follows.

Examine Singaporean parents’ emotion socialization during shared book reading with young children (0-4 years old). Family emotion socialization plays an important role in children’s emotional development, especially in early life. Particularly, mother-child conversations during shared book reading or past event reminiscing contribute to children’s learning about the causes and consequences of emotions, and the strategies to cope with distress (Doan et al., 2019; Doan & Wang, 2010). During mother-child conversations, discussion of emotions or other internal states makes thoughts and feelings explicit and helps children understand thoughts and feelings, whereas discussion of behaviors may draw children’s attention outwards and impede children’s emotion understanding and regulation. In Study 1, we will code parent-child conversations during the shared book reading task in Be POSITIVE to examine Singaporean parents' emotion socialization and its relations with children’s social-emotional development, such as emotion understanding, theory of mind, and social competence. Examine Singaporean teachers’ emotion socialization with children in preschools (4-6 years old). In addition to parents, teachers are also potential socializers with whom children interact frequently. Thus, teachers also play an important role in emotion coaching through structured activities, e.g., storytelling and book reading, and everyday interactions. A few studies have suggested that childcare centers or preschools are important social contexts for children to learn about emotions through teacher-child interactions (Ahn, 2005; Denham et al., 2020). However, little is known about the emotion socialization among Singaporean teachers or its relations with children’s social-emotional development. In Study 2, we plan to utilize Singapore Kindergarten Impact Project (SKIP) data to code teacher-child interactions in the classroom, e.g., during shared book reading activities, and explore the relations between teachers’ emotion socialization and children’s social-emotional development, such as emotion understanding, theory of mind, and social competence.

Requirements

• Have a Bachelor's degree in a relevant discipline (e.g. Psychology, Philosophy, Education), or expect to have such a degree by the starting time of the position
• Experience with research with young children
• Experience with data management and analysis
• Experience with or interest to learn tools for data management and analysis (e.g., RedCap, R, SPSS)

Responsibilities

• Collaborate with colleagues to clean and manage data from a large longitudinal study
• Data coding and analysis
• Assist in the development of research projects in seeking appropriate funding
• Writing reports/manuscripts and making posters/oral presentations to disseminate results
• Managing paperwork related to the project
• Other research related tasks as assigned by the Principal Investigator

Application

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

Workday Job Requisition ID: R00018953

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Centre-for-Research-in-Child-Development--Office-of-Education-Research---NIE-_R00018953)

Closing Date

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

The School of Materials Science & Engineering (MSE) is a key engineering school in NTU. Our research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

PI is seeking to recruit talented postdoc with creative mindset and excellent skillsets in process integration for electronics research. The role is to deliver project milestones in active thermal management, and actuator sensing integration in soft electronics.

Key Responsibilities:

• Responsible for delivering project milestones on active thermal management
• Formulate and design of integration of sensing and actuators

Job Requirements:

• PhD degree in material science or related field
• Prior experience of more than 2 years working on thermal management
• Prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for piezoelectricity or triboelectric
• Requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Excellent skillsets in fabrication of sensing arrays based on printing
• Advanced knowledge in 3D printing and inkjet printing
• Expert in piezoelectric and piezoresistive sensing
• Novel materials for active thermal management

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

Centre for Urban Solutions is a research centre in innovative solutions and technologies for urban centres and built environment. The key objective is to support efforts to provide leadership in research and development in innovative solutions for sustainable living and infrastructures for future cities.

The Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem for coastal and flood resilience in Singapore.

The (CFRP) research framework consists of four vertical programmes in which applied research is conducted to generate new knowledge and develop novel, effective, smart solutions for coastal protection and flood management. The framework has three horizontal programmes of broad outcomes that inform and support the verticals. The CFRP will develop innovative multi-functional coastal protection and flood management solutions and will: Catalyse the growth of a local R&D ecosystem to support long-term national agenda; Drive the development and application of effective and smart solutions; Facilitate translation and commercialisation of solutions.

As part of this programme, Vertical 1 Innovative Engineering Solutions, Project 4: Eco-cement enhanced methods for beach erosion control and beach land restoration through soil accumulation in Singapore, will explore eco-friendly and sustainable solutions for coastal protection and land reclamation over beach land inundated by sea level rise.

We are looking for a Research Fellow, based in School of Civil and Environmental Engineering (CEE), to work effectively for advancing the engineering solutions to develop a new Eco-cement enhanced method to form a barrier for coastal protection and land restoration for Singapore and beyond. The role will focus on performing independent and collaborative research to meet the project objectives, developing new solutions, and publishing high-quality journal papers to promote the international reputation of the Centre and the University.

Key Responsibilities:

• Conduct in-depth research on advanced environmentally friendly materials suitable for coastal barrier design and construction, considering durability, environmental impact, and cost-effectiveness.
• Design and oversee laboratory experiments with research team to test the performance and durability of materials under simulated coastal environmental conditions.
• Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization
• Writing and publication of results in peer-reviewed journals
• Assist in securing external funding through grant applications and proposals

Job Requirements:

• PhD in Coastal Engineering, Biogeotechnical Engineering, Civil Engineering or related discipline
• At least 1-year research experience in related areas.
• Strong background in materials testing, analysis, and selection.
• Experience in ground improvement, geotechnical foundation design, finite element analysis.
• Excellent analytical and problem-solving skills.
• Ability to work collaboratively in a multidisciplinary team.
• Publication track record is an advantage
• Good written and oral communication skills in English - essential for data analysis and communication with stakeholders

Interested applicants are invited to submit a cover letter/full CV/ statement of research interests in one document. Enquiries about this position can be made to Dr. WU Shifan ([email protected]).

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

A Research Fellow position is currently available in the Insurance Risk and Finance Research Centre (IRFRC) at College of Business, Nanyang Business School.

Key Responsibilities:

The Research Fellow will be working and interacting with researchers at IRFRC and Global-Asia Insurance Partnership (GAIP), with emphasis on:

• Develop models and forecasts for mortality rates in the context of pandemics and climate changes, particularly in Asian countries
• Analyze the impact of pandemics and climate changes on life and health insurance, as well as retirement products
• Develop impactful assessment and advisory reports as needed to support development of risk financing solution
• Produce high quality research articles and industry reports
• Present research findings to GAIP sponsors and the academic community

Job Requirements:

• Ph.D. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields
• Proven research experience with a track record of publications in top-tier journals in the field
• Relevant insurance/actuarial industry experience and actuarial designations are assets, but not are not mandatory requirements
• Demonstrate exceptional written and verbal communication skills, particularly effectiveness in communicating complex concepts to the public
• Attention to detail

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

The incumbent is responsible to design, develop and implement AR and FRDMP programs, scripts, batch jobs for AR/ FRDMP systems. He/she will work with stakeholders across various functions to deliver technology solutions to address their business needs.

Job Responsibilities

• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Follow the organizational SDLC processes to deliver the project or enhancement requests, create/update the SDLC documents including functional and non-functional specifications, technical design documents, test plan, test cases, release procedures, system operational documents, user manuals etc.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Manage, maintain, and support applications and the corresponding operating environments, focusing on stability, quality, and functionality against service level expectation.
• Evaluate the current system state, identify aspects which could be improved and recommend changes to achieve the improvement.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.
• Highlight or escalate risk and issues to relevant parties in a timely manner.

Job Requirements

• Masters or bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• In-depth understanding of database management systems.
• Strong communication and influencing skills.

Job Description

The Advanced Remanufacturing and Technology Centre (ARTC) is a contemporary public-private partnership, spearheaded by A*STAR in collaboration with NTU Singapore, to bridge technology gaps in advanced manufacturing and remanufacturing adoption. Smart Virtual Systems Group of ARTC specialises in developing innovative platforms and infrastructure capabilities that enable immersive and connected services for the manufacturing industry.

SVS is seeking a highly motivated Research Engineer to develop highly available and scalable microservices-based applications and AI platform for autonomous manufacturing applications. He/she is expected to demonstrate a high level of independence and initiative, with the ability to effectively engage internal and external stakeholders to deliver solutions.

The key roles & responsibilities include but are not limited to the following:

• Lead the software development and infrastructure system for Autonomous Manufacturing Technologies
• Develop and deploy cloud-native software solutions and implement scalable container platforms using agile methodologies
• Translate business requirements into technical designs
• Coordinate cross-functionally to ensure the project meets business objectives

Job Requirement

• Bachelor Degree in Engineering or relevant disciplines
• 5 years of working experience.
• Understanding of Cloud Native Technologies and DevSecOps CI/CD Pipelines
• Understanding of Kubernetes platform and monitoring tools
• Hands-on experience with deploying and managing microservices using container orchestration platform
• Preferably possess Certified Kubernetes Application Developer Certification
• Can do attitude and happy to interface with multiple stakeholders
• Excellent problem-solving skills, attention to detail
• Excellent verbal and written communication skills

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

The Exxon Mobil-NTU-A*Star Corp Lab is one of the large-scale research programs housed under the Energy Research Institute @ NTU (ERI@N), which focuses on large-scale applications of carbon in concrete. The EM- NTU – A*Star Corp Lab is closely related to the University’s mission to be a global leader in sustainable development and peak of excellence in sustainable earth. The Corp Lab is currently hiring for a Research Associate to join the exciting research project.

Key Responsibilities:

• Conduct research on carbon material enhanced concretes with various forms of carbon. The developed materials must be demonstrated in suitable large-scale applications.
• In charge of testing of all relevant aspects of advanced concrete material developed
• Conduct cost-benefit and LCA analysis of the material developed
• Opportunity to interact/collaborate with other colleagues within PI’s group. The topics currently are actively pursed in the group include self-healing material, self-sensing material, sustainable cementless material with regional waste/by-products, 3D printable concrete material, low carbon footprint concrete with carbon materials from different sources and their structural applications.

Job Requirements:

• Master’s degree from a renowned university in material science, civil, chemical engineering or related fields with relevant research experience/expertise and strong journal publication record.
• Extensive knowledge on carbon material enhanced concrete/geopolymer material
• Familiar with relevant analytical and experimental technique/skills, hands-on experience as well as solid theoretical background; excellent paper/report writing skills.
• Have relevant experiment skills such as nano and/or microstructural based material tailoring, novel and sustainable concrete development, geopolymer or other green cement, mechanical testing, thermal and/or electrical conductivity testing, and material chemical and micro-structural analysis.

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

Job Description

The Advanced Remanufacturing and Technology Centre (ARTC) is a contemporary public-private partnership, spearheaded by A*STAR in collaboration with NTU Singapore, to bridge technology gaps in advanced manufacturing and remanufacturing adoption. Smart Virtual Systems Group of ARTC specialises in developing innovative platforms and infrastructure capabilities that enable immersive and connected services for the manufacturing industry.

SVS is seeking a highly motivated Research Engineer to develop highly available and scalable microservices-based applications and AI platform for autonomous manufacturing applications. He/she is expected to demonstrate a high level of independence and initiative, with the ability to effectively engage internal and external stakeholders to deliver solutions.

The key roles & responsibilities include but are not limited to the following:

• Lead the software development and infrastructure system for Autonomous Manufacturing Technologies
• Develop and deploy cloud-native software solutions and implement scalable container platforms using agile methodologies
• Translate business requirements into technical designs
• Coordinate cross-functionally to ensure the project meets business objectives

Job Requirement

• Bachelor Degree in Engineering or relevant disciplines
• 2 years of working experience.
• Understanding of Cloud Native Technologies and DevSecOps CI/CD Pipelines
• Understanding of Kubernetes platform and monitoring tools
• Hands-on experience with deploying and managing microservices using container orchestration platform
• Preferably possess Certified Kubernetes Application Developer Certification
• Can do attitude and happy to interface with multiple stakeholders
• Excellent problem-solving skills, attention to detail
• Excellent verbal and written communication skills

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

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 5 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems is a plus

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 Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 8 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems is a plus

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.

Ensure operational excellence and regulatory compliance in the centre.

Responsibilities:

• Provide operational support in the centre day-to-day and during center events
• Support the organization operations and research need through the workshops/laboratories, offices, building infrastructure and premise security management
• Conduct daily walkabout in the centre to ensure the centre is in good operational condition, uncompromised security and safety compliance
• Ensure a safe working environment within the centre
• Track, maintain and order the operational inventories and maintain a systematic filing system
• Work closely with in-house contractors for facilities feedback to keep the centre in a daily operational state
• Assist in liaising and sourcing of vendor for quotation, equipment, service and monitor the contractor work?s quality, schedule and ensure safety during the execution
• Handle requests and queries from staff and management
• Work together with internal stakeholders/partners to support the entity in center operations
• Assist in executing corporate facilities related projects
• Investigate, check and analyze reported on any workshop and laboratory breakdown
• Facilitate in the facilities related SOPs, Forms and presentation materials
• Perform essential handyman work when needed
• Assist in statutory audit and internal audit
• Any other duties assigned by supervisor

Job requirements

• At least diploma in related field (Facilities / Safety / Operations)
• Minimum 5 years of relevant experience in operations for workshop, laboratory, facility, building services, electrical and mechanical
• Willing to be scheduled to occasionally work off shift hours in support of operations
• Able to breakdown the assigned work into deliverable tasks and provide realistic timeline for their completion
• Competency in Microsoft Office, AV system. Experience in office outfitting/ relocation projects is added advantage.
• Experience in supervising contractors, facility management and their sub-contractors
• Some understanding in the HS&E requirement
• A self-driven and meticulous individual who has the strong ability to multi-task

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.

We are seeking talented and experienced Robotics Scientist with strong understanding in manufacturing production processes, robotic process applications, and automation solutions to solve industry challenges.

Roles & Responsibilities:

Perception-guided manipulation

-Develop and optimise state-of-the-art robotic algorithms (object detection, recognition, and tracking using various sensors, advance motion planning, inverse & forward kinematics) for perception-guided manipulation systems.

-Collaborate with hardware engineers to integrate software solutions into robotic platforms.

Skill transfer research and development

-Develop and implement transfer learning models for various machine learning tasks, including image recognition, natural language processing, and recommendation systems.

-Collaborate with domain experts to understand specific business requirements and adapt transfer learning models accordingly.

-Utilise transfer learning to enhance the efficiency and applicability of expert skills and stay updated on the latest advancements in transfer learning and skill adaptation.

Project proposal, scoping & execution

-Lead discussions with stakeholders to obtain holistic understanding of problem statements, requirements, and expectations.

-Perform technology scouting on industrial robotic applications and automation best practices.

-Perform process mapping and robotic process feasibility analysis.

-Develop project proposals and concepts for intelligent robotic processes and automation.

-Perform simulation-based programming of robotic motion.

-Execute development & implementation of robotic processes according to project life cycle, including technical project write-up and presentation.

Job requirement

· PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field.

· Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.

· Proficiency in programming languages such as Python, C++, and/or Matlab

· Knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.

· Strong communication skills to collaborate effectively with colleagues and present technical findings.

· A passion for robotics and a desire to stay updated with the latest developments in the field.

· Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

We are seeking talented and experienced Robotics Scientist with strong understanding in manufacturing production processes, robotic process applications, and automation solutions to solve industry challenges.

Roles & Responsibilities:

Perception-guided manipulation

-Develop and optimise state-of-the-art robotic algorithms (object detection, recognition, and tracking using various sensors, advance motion planning, inverse & forward kinematics) for perception-guided manipulation systems.

-Collaborate with hardware engineers to integrate software solutions into robotic platforms.

Skill transfer research and development

-Develop and implement transfer learning models for various machine learning tasks, including image recognition, natural language processing, and recommendation systems.

-Collaborate with domain experts to understand specific business requirements and adapt transfer learning models accordingly.

-Utilise transfer learning to enhance the efficiency and applicability of expert skills and stay updated on the latest advancements in transfer learning and skill adaptation.

Project proposal, scoping & execution

-Lead discussions with stakeholders to obtain holistic understanding of problem statements, requirements, and expectations.

-Perform technology scouting on industrial robotic applications and automation best practices.

-Perform process mapping and robotic process feasibility analysis.

-Develop project proposals and concepts for intelligent robotic processes and automation.

-Perform simulation-based programming of robotic motion.

-Execute development & implementation of robotic processes according to project life cycle, including technical project write-up and presentation.

Job requirement

· PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field.

· More than 5 years of experience

· Experience in robot trajectory planning and machine learning, with a strong portfolio of relevant projects.

· Proficiency in programming languages such as Python, C++, and/or Matlab

· Knowledge of deep learning frameworks like TensorFlow and/or PyTorch for building and training neural networks.

· Strong communication skills to collaborate effectively with colleagues and present technical findings.

· A passion for robotics and a desire to stay updated with the latest developments in the field.

· Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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

-Responsible for leading and managing an industry-facing programme focusing on AI solution development & implementation in manufacturing sector.

-Define & execute an overall programme management framework, including but not limited to finance / governance / resource management / IHL collaboration / stakeholder management / programme administration / project management etc.

-Responsible for the programme overall progress and compliance to grantor?s requirements, and report to all internal and external stakeholders regularly.

-Provide leadership guidance to project managers, coordinate cross-project activities to accomplish strategic objectives, oversee multiple projects across various research organizations, and ensure successful delivery of project scope and targets while managing all the risk, quality, delivery, scope, schedule, and budget.

-Support ecosystem development with relevant stakeholders from public agencies, IHL and industry for economic impacts in the programme.

-Work closely with AI researchers and manufacturing domain experts together with industry partners to capture AI manufacturing use cases and manage the full life cycle of R&D projects by planning organizing, executing, monitoring and evaluating from conception to completion, and eventually to industry implementation.

Job Requirement

• Bachelor or Masters in any Science & Engineering related disciplines.
• At least 5 years or more of large-scale multiple-party project management experience in technology and/or product development; any past experience on research project would be preferable.
• Ability to demonstrate a good level of understanding of various engineering subjects, manufacturing technology, product development, latest AI technology trend
• Ability to deal with complex stakeholder management with public agencies, academia, research organization, industry, and trade association.
• Good business acumen, able to identify business opportunity independently and interact with industry partners confidently.
• Proactive team player and technically motivated to solve problems, innovate and deliver to industry.
• Strong communicator with excellent interpersonal skills; strong logic thinking and writing skills.
• PMP certifications or equivalent will be advantageous.

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.

We are seeking a skilled Mechanical Engineer to join our team in developing the chassis and mechanical components for a state-of-the-art portable MRI system. This role involves the design and integration of high-precision mechanical components, electronic housings, and thermal management systems, focusing on optimizing manufacturability and durability for portability.

The ideal candidate will have expertise in CAD, additive manufacturing (AM) processes, and a strong background in mechanical design for high-tech medical devices or electronics enclosures.

• Design and develop the MRI chassis and mechanical housing for electronic components, ensuring that all designs meet specifications for strength, weight, thermal stability, and compliance. Ensure designs are optimized for manufacturability and assembly, using knowledge of advanced manufacturing techniques.
• Develop detailed CAD models, assemblies, and technical drawings of chassis, mounts, and enclosures using CAD software SolidWorks. Conduct finite element analysis (FEA) and other simulations to assess structural integrity, thermal performance, and material suitability.
• Lead efforts in prototyping, working with AM processes (SLS, SLA, MJF, DMLS, etc.), CNC,or traditional methods to create high-fidelity prototypes.
• Troubleshoot and solve design issues identified during testing, iterating quickly to improve reliability and performance.

Required/Desired Skills

• CAD Proficiency: Advanced skills in 3D CAD software (SolidWorks, Creo, or equivalent) with experience in generating fully constrained assemblies.
• Manufacturing Knowledge: Strong understanding of AM techniques, post-processing methods, and experience working with CNC, sheet metal, and injection moulding.
• Problem-Solving: Demonstrated experience in root cause analysis, DFMEA, and quick iteration on designs to address complex engineering challenges.
• Testing & Analysis: Hands-on experience with FEA tools, prototyping, and validation testing.
• Soft Skills: Strong communication skills, detail-oriented, and ability to work in a cross-functional team environment.

Required/Desired Qualifitaion & Experience

• Bachelor’s or master’s degree in mechanical engineering, Mechatronics, or a related field.
• 3+ years of experience in mechanical design, preferably with medical devices, high-tech enclosures, or electronics housings.

SusTex, an RGE-NTU Joint Research Centre on Sustainable Textile, will evaluate and propagate innovative solutions to enable material circularity from urban waste back into the value chain. SusTex will provide a pioneering platform to translate advances in green chemistry, artificial intelligence, and materials science into solutions for sustainable textile recycling, based on the framework of outcome engineering.

The School of Materials Science & Engineering is looking for a Research Fellow who will be responsible for designing, conducting, and optimizing research on microbial systems for the treatment of industrial and municipal water effluents. The role will involve the isolation, culture, and identification of bacteria strains, as well as the operation and development of bioreactor systems for the bioremediation of water pollutants.

Key Responsibilities:

• Develop and optimize microbial-based processes for water effluent treatment.
• Culture and maintain bacteria strains relevant to bioremediation, ensuring their viability and performance.
• Perform microbial identification and characterization using molecular and traditional techniques.
• Design, operate, and troubleshoot bioreactor systems for microbial water treatment.
• Analyze water samples for effluent parameters, microbial activity, and pollutant degradation.
• Collaborate with cross-disciplinary teams to integrate microbial systems into larger treatment frameworks.
• Prepare technical reports, publications, and presentations based on research outcomes.

Job Requirements:

• PhD in Biotechnology, Microbiology, Environmental Science, or a related field with a focus on microbial applications in water treatment.
• Proven experience in microbial culture, strain isolation, and identification. Experience in scaling up microbial processes for industrial applications, optimizing bacterial cultures for large-scale operations, and working in compliance with industry standards will be considered highly advantageous.
• Hands-on experience with bioreactors and microbial-based water treatment processes.
• Strong understanding of microbial metabolic pathways involved in pollutant degradation.
• Proficient in water quality analysis and effluent treatment technologies.
• Ability to work independently and as part of a collaborative research team.
• Excellent communication skills for reporting and presenting research findings.
• Experience in scaling up microbial processes for industrial applications.
• Familiarity with advanced molecular biology techniques, such as PCR and sequencing.
• Knowledge of environmental regulations related to water effluent discharge and treatment standards.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office of Education Research, Centre for Research in Child Development.

Project Title: Supporting teachers in numeracy teaching

Project Introduction:

The study aims to examine how we can support preschool teachers in the teaching of early numeracy through professional development (PD). We design an experimental study with different PD conditions to ask whether the sharing of basic research findings along with active reflection can improve instructional quality in the preschool classroom.

Requirements:

• Bachelor of Arts / Science in Psychology, Education, Cognitive Science, Linguistics, or related fields
• Experience with preschool teaching
• Excellent interpersonal skills working with different stakeholders and an interest in relationship building with stakeholders
• Demonstrated ability to consult and interact with teachers/staff to improve teaching practices
• Strong classroom observational skills and keen attention to detail
• Enthusiasm about research in early education research
• Strong, self-directed initiative and ability to take on challenges
• Experience with coaching is strongly preferred, but not required

Responsibilities:

• Observing classroom teaching
• Guiding teachers in optimizing teaching and learning opportunities
• Monitoring and recording classroom teaching progress
• Collaborating with the rest of the team to provide support for preschool teachers
• Providing feedback within the research setting for teachers
• Building relationships with preschool teachers and staff
• Data collection, entry, coding, and analysis
• Assist with coding of classroom talk
• Conducting literature reviews
• Public outreach of educational research
• Other duties as assigned by the Principal Investigator

Application

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

Workday Job Requisition ID: R00018919, R00018920

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Centre-for-Research-in-Child-Development---NIE-_R00018919)

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Centre-for-Research-in-Child-Development---NIE-_R00018920)

Closing Date

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

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics.

Established together with SPMS, the cryptography research group at the Division of Mathematical Sciences is world leading. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow (Cryptography)

To further enhance the research and education capability in cryptography, our department seeks an experienced researcher to carry out research in applications, and to help teach courses of our Master Program.

Key Responsibilities:

• Support research in Cryptography including but not limited to Post-Quantum Cryptography, BlockChain, Privacy-Preserving Technologies
• Assist to supervise research students
• Support the Master of Science in Cyber Security Program, which is expected to take in 100 - 200 student per year
• Carry out research, publish papers, help the team to supervise research students

Job Requirements:

• PhD in cryptography
• Experience in research publication at Tier-1 conferences
• Track-record of publications in IACR conferences/workshops
• Teaching experiences
• Postdoc experience will be a plus

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

Carbon Capture Composite Materials

Recruitment for Research Assistant / Research Engineer / Senior Research Assistant

A research assistant position is available at the Singapore University of Technology and Design. The successful candidate will work on the design and synthesis of composite materials for carbon capture applications. The research assistant should have experience in composite material synthesis and fabrication using solution chemistry methods. Desired skills include demonstrated experience with solution-based chemical synthesis, surface functionalization of materials (e.g., ligand exchange, polymer grafting), or polymeric composite fabrication methods. Additionally, the research engineer will also be working closely with the engineering team to implement an innovative gas separation system. The research engineer will also be involved in the development of customized lab-based and field tests to evaluate the performance of the material.

Job Requirements:

• Possesses a Bachelor or Master’s degree in Chemistry/Materials Science/Chemical Engineering or relevant field
• Excellent written and oral communication in English
• Able to work and learn independently and in teams in a multidisciplinary setting
• Possess a high level of personal initiative and motivation

Specific Responsibilities

• Fabrication and characterization of materials
• Lab-based and field tests of composite systems
• Assist with research lab maintenance and safety, as well as managing of lab equipment
• Drafting of professional reports and presenting results to the research team on a regular basis

How to Apply

Applicants should send the following documents:

1. curriculum vitae,
2. two references and
3. a writing sample or examples of any published works including final year projects or thesis to Prof. Mei-Chee Tan, [email protected]

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references.

Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

A Research Assistant / Research Associate is critical to provide clinical research support to the Lead Principal Investigator and Team Leads who run the HELIOS Study, in such a manner that promotes good quality sample and research data collection.

Key responsibilities include but not limited to:

• Perform carotid ultrasonography for measurement of Carotid artery intima media thickness (CIMT) measurements based on the study protocol.
• Carry out analysis of the acquired images to quantify carotid arterial health.
• Assess and give suggestions to improve digital image/readings quality
• Contribute to the production of research reports and/or publications.
• Assist in co-ordination of project-related meetings.
• Undertake any other duties relevant to the programme of research.

Key Competencies and Requirements:

• Bachelor’s degree (for Research Assistant) or Master’s degree (for Research Associate) in biomedical sciences, biotechnology or related fields.
• Skills in using statistical software, Microsoft software will be advantageous.
• 1 year of relevant experience in analyzing ultrasound and/or ophthalmic images would be advantageous. Training will be provided.
• Excellent trouble shooting, organization skills, and problem solving skills are also required as well as the ability to work in a team environment.

Training will be provided to level the skillsets needed to perform these roles.

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Fellow or Research Associate, to join a growing research team dedicated to understanding human behavior in cities.

Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles critical questions about how cities shape people’s behaviors and, in turn, how cities should be designed to better serve their inhabitants.

Candidates should possess a strong interest in applying a human lens to transdisciplinary and collaborative research. Expertise in quantitative research methods and a background in social and/or behavioral science will be a plus.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Conduct and write literature reviews
• Participate in fieldwork and data collection
• Conduct quantitative and/or qualitative data analyses
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained or expected Masters degree (for Research Associate) or PhD degree (for Research Fellow) related to the social sciences or behavioural sciences (e.g., Psychology, Behavioral Economics, Urban Studies, or related disciplines)
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., R, STATA, SPSS, MPlus) is a plus
• Familiarity with Augmented Reality, Virtual Reality and/or neuroscience (e.g., fNIRS) research is a plus

How to apply:

Interested applicants are encouraged to send their application with the subject heading – Research Fellow/Associate (Urban Psychology Lab) to [email protected] with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae
• Two writing samples of publication or research work
• Three referees who may be contacted for a reference

Enquiries about the position can be addressed to either Samuel Chng ([email protected] ) or Sarah Chan ([email protected])

Appointment(s) will be initially made on contract basis for up to two years, renewable subject to good performance and mutual agreement.

We regret that only shortlisted candidates will be notified. Review of applications will commence from October 2024 on a rolling basis. Applications will be considered until the posts are filled.

Globally ranked among top research and technology organizations in the environment and water domain, the NTU’s Nanyang Environment and Water Research Institute (NEWRI) ecosystem interacts across a multi- and inter- disciplinary platform of Research-Engineering-Deployment (R.E.D) activities in its approach to developing innovative solutions.

A Research Assistant position is currently available in NEWRI to participate in an academic research project on tire wear particles.

Key Responsibilities:

• Support research work on water sample analysis using various bioassays and perform routine laboratory techniques – (buffer preparation, water sample processing, reagent preparation, reporter assays, nucleic acid analyses etc.)
• Conduct mammalian assays and zebrafish embryonic assays
• Clearly document the experimental work performed and sample information
• Assist in reporting data for the work done
• Support laboratory procurement, inventory, maintenance, and housekeeping
• Assist in daily operational, administrative, and logistics duties related to the research activities.

Job Requirements:

• Bachelor’s degree in Biochemistry, Biological Sciences, Molecular Biology, Environmental Biotechnology or other related life science disciplines.
• Minimally 2 years of working experience in a research environment
• Hands-on experience in mammalian cell culture
• Hands-on experience in cell-based assays in microplate formats and with absorbance/fluorescence read-out (eg. Reporter cell assays)
• Knowledge and hands-on experience in conventional molecular assays (eg. nucleic acid extraction and analyses, ELISA, RT-qPCR)
• Knowledge and experience on common analytical instruments (eg. fluorescence microscopes, real-time PCR, multi-mode readers, cell analyzer)
• Experience in zebrafish assays or other in vivo assays is highly preferred
• Experience in library preparation is preferred
• Meticulous, proactive, organized & able to work independently according to plans
• Good communication skills & team player

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

The Interdisciplinary Collaborative Core (ICC) Office oversees new curricula focusing on key transferable skills and global challenges using an interdisciplinary and collaborative approach to learning. The rapidly changing nature of work, compounded by the relentless speed of innovation, necessitates that our graduates constantly acquire new knowledge and competencies, and adapt to several career changes over their lifetimes. As forward-looking educators, we are in continual pursuit of providing a holistic education grounded in future-ready skills which will prepare our graduates for lifelong learning and global citizenship.

For more details, please view Interdisciplinary Collaborative Core (ICC) | NTU Singapore

We are looking for a Research Associate. The role will focus on conceptualizing, managing and executing research projects conducted to contribute towards ICC Office’s goals of promoting interdisciplinary and collaborative learning in all NTU students. He/she will work closely with the Office and the teaching staff to conceptualize new research projects as well as work on current projects/data for promoting and measuring interdisciplinary and collaborative learning amongst students.

Key Responsibilities:

• Design research approaches to measure interdisciplinary and collaborative learning and its impact on students
• Collect, analyse, report and/or present ICC-related data for the office or university (eg pre and post course surveys, student feedback on teaching, student experience survey, etc.) for monitoring, insights and decision making purposes as well as to address clarifications from different stakeholders
• Propose improvements to existing research/survey designs, materials and reports
• Propose new research/surveys to promote interdisciplinary and collaborative learning
• Lead and conduct data collection activities related to research projects
• Take charge of research project budgeting and expenditure
• Design small-scale survey using graphical-user interfaced software (e.g. Qualtrics, Google forms) including Microsoft Office suite
• Present research findings, implications and suggestions, and follow up on required actions and plans with various stakeholders

Job Requirements:

• Masters degree (with some publications) in educational research, the learning sciences or science of learning or cognitive science, or related field
• At least 3 years of relevant experiences in doing educational research
• Knowledge and experience in social science research methodologies, able to manage and organize participants for research studies and experiments
• Good written and oral communication skills
• Proficiency in graphical-user interfaced software (e.g. Qualtrics, Google forms, Microsoft Office suite) and online search tools, especially online databases (e.g. EBSCOhost, Psycinfo, etc.)
• Ability to work independently, develop solutions under strict timelines, meticulous, excellent organizational and time management skills

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