Core Responsibilities:

• Performs various chemical analyses
• Maintain of lab stocks / consumables / standards / documents
• Take charge of and maintains instrumentation such as ICP-OES, GC-FID
• Generates reports for tests done
• Method validation / development as required

Requirement:

• Diploma or a Degree in Chemical / Biochemical studies
• Relevant experience is preferred
• Experiences in laboratory analysis, including ICP-OES, GC-MS preferred
• Good working attitude and able to work under pressure
• Possess a valid Class 3 driving licence will be an added advantage
• Able to work as a team

Core Responsibilities:

• Performs various chemical analyses
• Maintain of lab stocks / consumables / standards / documents
• Take charge of and maintains instrumentation such as ICP-OES, GC-FID
• Generates reports for tests done
• Method validation / development as required

Requirement:

• Diploma or a Degree in Chemical / Biochemical studies
• Relevant experience is preferred
• Experiences in laboratory analysis, including ICP-OES, GC-MS preferred
• Good working attitude and able to work under pressure
• Possess a valid Class 3 driving licence will be an added advantage
• Able to work as a team

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.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces
• Develop and implement robotic control systems
• Optimization of formulation for UV 3D printing / direct ink writing 3D printing
• Contribute to ongoing soft robotics research
• Design and prototype using CAD software and 3D printing technologies
• Collaborate with faculty and other researchers on interdisciplinary projects
• Publish research findings in peer-reviewed journals and present at conferences
• Assist in mentoring students

Job Requirements:

• Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field
• Strong background in formulations for 3D printing
• Experience in soft robotics applications
• Proficiency in CAD software and 3D printing technologies
• Strong programming skills (e.g., Python, C++, MATLAB)
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience with machine learning and AI applications in engineering is advantageous

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a new interdisciplinary school at NTU, inaugurated in August 2022. Our school hosts world-class education and research programs in organic and inorganic chemistry, physical chemistry, chemical engineering, and bioengineering. We aim to nurture future-ready researchers with the ability to tackle new challenges in chemicals manufacturing, healthcare, energy, food, and other important sectors.

This position is responsible for aiding the development of new synthetic methods in the labs of Asst Prof Phillip Grant, which aim to improve the efficiency of organic synthesis.

Key Responsibilities:

• Synthetic research in organic synthesis of small molecule drug-like compounds
• Characterisation of organic compounds
• Development of new methods to synthesise drug-like compounds
• Maintenance of key instruments
• Contribution to lab duties; e.g., purchase of chemicals
• Drafting reports and papers

Job Requirements:

• A PhD in organic chemistry.
• Prior experience in synthetic methods development and/or target oriented synthesis.
• A good command of writing and speaking in English is preferred.
• Experience in reaction optimisation.

For more information about the Grant lab, please visit (https://grantlab.wixsite.com/grant-lab).

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

For more details, please view School of Civil and Environmental Engineering | NTU Singapore.

We are looking for a Research Fellow to work on a project ‘Innovative structure systems for next-generation construction’. The role will focus on conducting experimental and numerical studies on novel joints for modular structures and developing new design methods.

Key Responsibilities:

• Conduct experiments on modular structures
• Conduct numerical modelling
• Assess existing design codes
• Propose new improved design methods

Job Requirements:

• PhD degree in Structural Engineering from reputable universities or related field
• Familiarity with Eurocodes on steel and composite structures
• Good written and oral communication skills
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill
• Competent in soft skills / general personality traits: Information visualization, interaction design
• Interpersonal skill: Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Entry level candidates are welcome to apply

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

Project-based Architectural Design Consultancy Services:

• Conceptualize concept and schematic designs.
• Carry out feasibility studies and presents design proposals.
• Design development that would include detailed drawings and specifications for contractors to follow for construction purposes.
• Assist in tendering and bidding processes and inspect the on-going construction to ensure that the project is built according to design plans.
• Liaise with and discuss project-relevant issues with clients.
• Negotiate with contractors on design requirements and building progress.
• Oversee progress of on-site work; ensure project is built according to design plans and resolve any issues that may arise.
• Work with engineers and surveyors to make sure that the building plans meet the necessary building standards.
• Project and/or design management of more than 3 - 4 projects at any given time.

Research-related Work:

• Assist in carrying out practice-based research into specific issues and challenges surrounding the built environment, with the aim of gaining greater insight into these issues and developing design strategies and solutions in response to them.
• Work with Director (Design and Research) to enhance public/industry awareness of the firm’s design philosophies, capabilities, and accomplishments (directly and indirectly) through design, writing, teaching, and research work.

Requirements:

• Minimum Bachelor Degree in Architecture or equivalent.
• At least 5 years of working experience in the related field.
• Able to work well with a team and take the lead at the working level.
• Able to guide younger staff in design matters.
• Possess good design and graphic communication skills, especially in the concept design, schematic design and design development stages.
• Positive attitude
• Some experience with tender documentation and construction stages.
• Software skills: Rhino, Grasshopper, Adobe Photoshop, Illustrator and Indesign. Revit and computational skills will be a plus.
• Willing to take on new challenges.

Key Responsibilities:

• Perform picking of orders using RF device
• Perform packing and processing of picked orders
• Perform quality check on picked orders through system
• Check and inbound stocks based on SKU, quantity, batch#, expiry date and etc
• Plan and put away stocks to locations by (Bin/ Pallet)
• Ensure warehouse productivity and output are met based on key metrics measured
• Conduct regularly cycle count and stocks check
• Handle scanning of outbound parcels for dispatching purpose to 3PL
• Ensure inventory and stocks and handle prudently and on a timely manner
• Packaging material control and weekly counting
• Perform warehouse housekeeping task regularly
• Need to perform overtime during peak season and campaign period as per assigned
• Other operational related tasks as per assigned by Supervisor

Qualification:

• High School, O'Level education preferred.
• Preferably with a minimum of 1 year of working experience in ground operations
• Experience with the use of warehouse system ERP/WMS and RF scanner is a plus but not must.
• Working experience in e-commerce, manufacturing or retail business is a plus
• Good communications skills in English.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Our department is seeking a dedicated Research Fellow to support the project on A MEMS Enhanced Deep Cryogenic Fully Functional Quantum Gate Interface for Large Scale Quantum Computing. This role will be instrumental in advancing NTU’s mission to lead in quantum technology research, specifically in scalable and efficient quantum computing solutions. We are looking for a committed team member who will help drive innovation in MEMS and cryogenic interface development, contributing to foundational advancements in large-scale quantum systems.

Key Responsibilities:

• Research and Development: Conduct research on low-power and millimeter-wave integrated circuits and systems for sensor interfaces, quantum applications, beyond 5G communication, and radar systems.
• Design and Implementation: Develop advanced circuit designs optimized for low power and millimeter-wave performance, ensuring compatibility with sensor and quantum system requirements.
• Collaboration and Integration: Work with interdisciplinary teams to integrate circuits into sensor and quantum systems, addressing challenges in power efficiency and high-frequency operation.
• Analysis and Documentation: Analyze circuit performance, troubleshoot issues, and document findings in technical reports, contributing to academic publications and project reviews.

Job Requirements:

• PhD in Electrical and Electronic Engineering or related field
• 3-4 years’ relevant experience and knowledge in one or more of the following areas: Analog Integrated circuit design, RF and microwave engineering, or millimeter wave circuit and system.
• Knowledge and/or experience in using tools such as Cadence, ADS, HFSS, Matlab, etc.
• Good interpersonal skills with the ability to work independently and also in a team environment.
• Entry Level candidates with strong interest in high frequency circuits and systems will also be considered.

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

We are looking for a dynamic and passionate Catering Sales Associate to be part of the vibrant Orange Clove’s team! You will be responsible for establishment and expansion of clientele in the various market segments, maintaining quality service standards when representing the company.

If you are looking for a fulfilling career in the fast-growing catering industry, send us your application now!

Job Highlights

• Attractive commission scheme
• Well-structured career progression opportunity
• Fun working culture, supportive team members to work with
• Training will be provided to use our integrated system to process and manage orders
• 5 days work week with 1 working Saturday or Sunday per month

Responsibilities

• Establish new sales opportunities using various sales prospecting channels.
• Assists clients in professional event planning, packaging, and menu selection.
• Prepare sales quotations, proposals, and catering schedule prior to deadline.
• Maintain all proper documentation in catering and conference files.
• Attend and handle all customer enquiries and feedbacks.

Requirements

• Diploma holder in Hotel and F&B Management or equivalent.
• At least 1 year of sales experience in F&B / Catering / Hospitality experience.
• Fresh diploma graduates are welcome to apply if you love good food.
• Passionate about F&B, customer service and sales activities.
• Outgoing personality, highly motivated and independent individual.
• Class 3 driving license will be an advantage.
• Working location at Boon Lay

Interested applicants are invited to apply with your detailed resume via the “Apply Now” button below.

We thank you for your interest and 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.

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. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is currently available in SPMS. Dedicated to the construction and manipulation of new families of toroidal structures, and exploring their topological properties. The anticipated outcomes include high-impact publications in top-tier journals like Nature Photonics and Nature Nanotechnology, further solidifying NTU’s leading position in the field of toroidal electrodynamics and expanding its research influence on a global scale.

Key Responsibilities:

• Responsible for the theory and simulation of the novel toroidal family
• Responsible for setting up, testing and data collection and analysis of experimental system

Job Requirements:

• PhD degree in domain discipline or related field
• Proficient in modelling and analyzing optical fields in MATLAB, FDTD, and COMSOL
• Capable of independently and proficiently designing and constructing optical systems
• Familiarity with required scope: topological photonics and nanophotonics
• Good written and oral communication skills
• Ability to work independently & develop solutions under strict timelines

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

We regret to inform 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.

Project Title: EmoSense: An Artificial Intelligence-powered tool for swift and accurate recognition of student epistemic emotions during learning

Project Introduction: This project aims to develop EmoSense as a web-based prototypical tool that leverages Artificial Intelligence, including machine learning models, to enable swift and reasonably accurate recognition of students’ epistemic emotions. Existing mobile devices will be used to generate features of students’ emotions during learning that will be recognised for analysis. Students will interact with the web application to provide inputs and responses to align with exhibited emotions and for validation.

Requirements:

• Academic qualification:

At least a bachelor’s degree in Computer Science, Data Science, or related

fields. Applicants with Master’s Degree preferred and may be considered for a Research Associate position instead.

• Work experience:

Experienced in web application development, machine learning models and techniques for facial recognition. Interests in education research or social sciences will be helpful for this position.

• Desirable interests, skills, and attributes:

- Keen interests in Artificial Intelligence in Education, Learning Analytics, Facial recognition techniques

- Familiar and comfortable in working with machine learning models

- Proactive, eager to learn and perform

- Good self and time management skills in structuring tasks to achieve given goals and objectives

Responsibilities:

• Co-design experimental research and development tools that align with the project’s needs and requirements
• Research and develop appropriate models and analytics that are able to handle and analyse facial data for interpretation
• Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
• Able to communicate research findings and implications to various stakeholders (i.e., researchers, policymakers, educators)
• Assist in work-related duties including literature review, report and paper writing
• 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: R00018963

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research---NIE-_R00018963)

Closing Date

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

Purpose:

Responsible for performing the final inspection of assembly products to meet Customer's quality standards.

Key Area of Responsibilities:

· Perform In-process and Final Inspection for assembly tools and loose assembly modules to meet the requirement as defined on drawing, WI and any related documents.

· Initiate Material Review Board (MRB) review when part or assembly is not according to requirement as defined on drawing, WI and any related documents during in-process inspection.

· Update outgoing inspection record after Final Inspection to allow monitoring of the internal quality.

· Raise Non-Conformance Report (NCR) for non-conformance found to ensure reject is recorded.

· Support and participate in company continuous improvement program.

Qualification & Experiences:

· Nitec/Higher Nitec/Diploma in Mechanical Engineering/Electrical Engineering/Mechatronic Engineering or equivalent course

· Preferably with Workplace safety & health in Metal work certification

· Knowledge on quality inspection and buyoff

· No experience are welcome

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.

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. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The Weber group at SPMS, NTU is seeking a highly organized and driven Research Fellow to lead experimental efforts on low-temperature transport measurement and 2D and topological materials, heterostructures and devices.

Demonstrating capability, creativity and high-impact outcomes in low temperature experimental condensed matter physics will be a key requirement. The research fellow will be leading experimental work in an existing dilution refrigerator laboratory, equipped with a BlueFors LD250 cryostat equipped with vectorized magnet, and GHz wiring.

Other facility and protocols for crystal growth and device nanofabrication have been developed to support the Senior Research Fellow’s work.

Key Responsibilities:

• Lead experimental work on low-temperature electronic measurement
• Help with procuring equipment and consumables
• Manage, maintain, and service laboratory and equipment
• Guidance / Co-supervision of research students
• Writing of high-tier research publications

Job Requirements:

• PhD in MSE
• Relevant post-PhD experience in experimental condensed matter physics
• Demonstrated track record of high-impact research achievements
• Demonstrated ability to publish high-tier research publications
• Excellent verbal and written communication skills (including scientific writing)
• Ability to work independently but also as part of a team
• Demonstrated track record in low-temperature electronic measurement (T = 4.2K and below), including cryogenics handling
• Experience with dilution refrigerators is strongly preferred
• Demonstrated know-how in servicing and maintaining a dilution refrigerator, especially with BlueFors systems will be a hiring advantage

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

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

Responsibilities:

• Apply functional specifications and use engineering tools to design hardware for product changes and new development
• Assist in analysis, modification and design of products and services for assigned projects which requires basic knowledge of materials, components, and their applications
• Assist and participate in testing and test results analysis for assigned projects

Requirements:

• Degree in Mechanical Engineering or similar discipline
• Basic skillset should be to design various tools & equipment with latest industry/design codes and analysis
• Knowledge on CAD packages like SolidWorks are preferred

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

Our research concerns the study and control of the electronic states in functional materials. We investigate problems such as chiral magnetism, unconventional superconductivity, new collective behavior in the vicinity of quantum phase transitions and electron motion through materials at their quantum limits. Experimental techniques developed in-house for our research include miniature magnetometers, scanning probes, thermal and electrical measurement apparatuses to the milli-Kelvin regime and high fields.

The School of Physical and Mathematical Sciences is seeking a highly motivated post-doctoral Research Fellow to lead experimental efforts in low-temperature thermal magneto-transport of low dimensional magnets. Qualities we are seeking for are creativity and high impact accomplishments in low temperature experimental condensed matter physics. Facilities for measurements have been developed to support the experimental work of the Research Fellow. The Research Fellow will be employed and stationed at the Nanyang Technological University, Singapore. For more information about the laboratory please visit: www.phynelab.org

Key Responsibilities:

• Involve in low-temperature thermal magneto-transport measurements to explore the nascent field of topological magnonics in low dimensional magnetic materials

Job Requirements:

• Ph.D. degree in experimental condensed matter physics
• Track record in thermal transport measurements at low temperatures and cryogenics handling
• Experience with running and maintaining superconducting magnets
• Demonstrated track record of research achievements in magnetism
• Demonstrated ability to publish high-tier research publications
• Excellent verbal and written communication skills (including scientific writing)
• Ability to work independently but also as part of a team

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

We regret 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.

• Salary details: $1,750 + shift allowance + overtime
• Working days and hours: 5 days per week,
• Location of works: Central
• Benefits:Free Meal
  - 2 shifts only, Morning and Afternoon
  - Yearly Bonus
  - Monthly Allowance
  

Job Responsibilities:

• Inspect and organize playing card inventory to ensure quality and readiness for use.
• Support the Assistant Card Room Managers by coordinating the timely delivery of shuffled card sets to designated areas.
• Collaborate with Card Room Supervisors to verify, process, and securely dispose of used cards and manage other stock and inventory within the Card Room.

Applicants who possess the relevant experience or interest are most welcome to apply.

Alternatively, you may send your application and resume in MS Words format to [email protected]

**We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

Choo Tchi Seng
Registration Number: R1544906
EA Licence No: 06C2859 (MCI Career Services Pte Ltd).

School of Physical and Mathematical Sciences

Nanyang Technological University

Associate Professor of Practice in Mathematical Sciences

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world’s top universities. The College of Science 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, family responsibilities, or disability.

The School of Physical and Mathematical Sciences (SPMS) at the College of Science of NTU offer multidisciplinary academic programs that provide students with a wide-ranging and up-to-date education. We offer undergraduate training leading to BSc (Hons) and graduate training leading to MSc and PhD degrees.

We invite applications for a position of Associate Professor of Practice. The role involves leading industry-related research and teaching in the field of mathematical sciences. The appointee will be expected to teach and provide contributions to practice, such as consultancy and applied research, within the broad domain of information theory and cryptography, particularly post-quantum cryptography. Candidates with portfolios of industry-specific contributions or works and projects that exploit opportunities for interaction across disciplines in mathematics and computer science and engineering are especially welcome to apply.

The candidates are expected to:

· Enhance the College’s visibility as an international leader in education, research, and industry collaboration.

· Deliver engaging and effective teaching to both undergraduate and graduate students.

· Secure funding from competitive grants and industry partnerships.

· Mentor and supervise students and researchers.

· Collaborate with interdisciplinary teams within the university and with external partners to design and help develop commercially viable products and services.

· Undertake essential administrative responsibilities within the School.

Requirements:

· PhD in mathematical sciences or a related subject.

· A good track record of supervising students, researchers, postdocs, and interns.

· Experienced in cross-disciplinary research initiatives and collaboration.

· Demonstrated excellence in research, evidenced by a strong publication record in reputable peer-reviewed international journals and conferences.

· Proven track record in research, design, development, certification, and implementation of enterprise-grade products and services.

· Proven ability to secure applied research funding or commercial investments.

Application Procedure

Required application documents:

· Cover letter.

· Curriculum Vitae, including a full publication list.

· Statement of current and future research interest.

· Teaching statement.

· Names of at least four referees.