Total 2,636 Education / Training job vacancies in sgp singapore hong leong building

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal 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.

Introduction

In collaboration with the Woodlands Health (WH) and the National Health Group (NHG), the Rehabilitation Research Institute of Singapore (RRIS), the Nanyang Technological University (NTU), and SingHealth, SEC is undertaking a research programme on "Built Environment and physical activity in Falls and Arthritis study (BE-FIT)". It addresses imminent health challenge on moving away from “sickcare” and pivoting towards preventive healthcare as part of the nationwide effort on Healthier SG. Within BE-FIT we envision motivating vulnerable older adults to engage in healthy behavior by providing recommendations on improving accessibility (as well as preception thereof), in urban environment for uptake of physical activity. A deeper understanding of the interactions and interplay between BE and the high burden of falls and OA as proposed within the BE-FIT is crucial towards informing data-driven decisions on urban design and how the mobility-impaired elderly interact with their physical environment.

Project background

Falls result in severe physical as well as psychological impact among older adults. Beyond physical implications on injury-related trauma and in severe cases death, the psychosocial impact of falling can also be excruciating. Fear of falling can result in vicious cycles of decreased activity as well social isolation. These in turn lead to lower muscle strength and higher risk of future falls. In a similar manner, osteo-arthritis (OA) can lead to fear of movement (kinesiophobia) resulting in reduction of physical activity levels.

Within Work package 3 (WP3) of the BE-FIT study, we investigate movement patterns and features of walking outdoors and in the neighbourhoods among vulnerable older adults (suffering from OA as well as at high risk of falling). We will acquire these movement patterns and features using the state-of-the-art inertial measurement units (wearables such as ZurichMOVE or Axivity) sensors. These sensors are equipped with triaxial accelerometers and gyrospcopes and provide assessment of aspects such as impact and swing behaviour during different movements. Specifically, we will be addressing the following research questions:

1. What are the kinematic characteristics of walking among older adults with OA and/or previous falls under ecological settings (neighbourhoods etc)?
2. Do the kinematic characteristics of naturalistic walking predict physical activity rates?
3. Does the design of walkways (including overall layout, e.g. design of curbs, pathways etc and accessibility features e.g. size of the curbs, or height of side walk, ramps vs stairs) impact overall levels of physical activity as well as specifics of walking quality?

Task/Job Description:

As a Research Assistant in the BE-FIT, you will be responsible to

• Design, implement, and test the measurement protocol on long term monitoring using the state-of-the-art inertial measurement unit sensors.
• Assist project management for BE-FIT research activities at SEC including project planning activities, effort estimates, and on-site and remote exchange with several research partners, especially at the CNRS, RRIS and WH.
• Conduct research for the BE-FIT long-term monitoring within the Work package 3, including participant recruitment and scheduling of measurements, but also communication with participants on replacement of sensors and battery charging, and finally storage of data collection.
• Interact with end users as well as researchers at SEC, ETH Zurich, and local partners

Requirements:

This position requires:

• A university or applied science degree in Nursing and Physiotherapy, but also Psychology, Cognitive or Behavioural Science, Neuroscience, Rehabilitation Science, Biomedical Engineering, or a related field/equivalent work experience
• Experience with research methods, study design, project management, handling patients, especially older adults
• Good “people skills” when interacting with participants, patients, and colleagues
• Interested in working with and developing protocols for acquiring data using technological tools and equipment particularly in the field, e.g. remote sensing, etc.
• The following competencies will be advantageous:
• Be proactive, communicative and show personal responsibility, initiative and enjoy technology and interdisciplinary teamwork
• Can work autonomously and with a self-starter attitude
• Good communication skills orally and in writing
• Previous experience with health-related data and protocols
• Compensation commensurate with qualifications and experience

Information about the application process and contact for applicants

We look forward to receiving your online application with the following documents:

• Cover letter outlining your motivation and experience in the field
• A comprehensive CV including certificates (e.g. Master's and/or Bachelor's degree)
• Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about BE-FIT Project can be found on our website: https://fht.ethz.ch/

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

The Smart Systems Institute (SSI) at the National University of Singapore is an interdisciplinary research institute and an experimental “playground" for human-centered AI technologies. Our vision is to enable situated AI assistance for every human to work, play, and learn. The research at SSI spans the spectrum of embodied AI, robotics, interaction design, augmented/virtual reality. The institute brings together researchers from diverse backgrounds, including AI, engineering, design, social sciences, to collaborate and to shape the future of AI.

• The visiting faculty member will conduct research within the scope of interesting in Smart Systems Institute

• Work in the areas of collaborative robotics, mobile manipulation, and human-robot interaction

• To undertake cooperative research with the students in SSI laboratories

• The expected research outputs will be several conference papers and journal articles—the main area of investigation will be robust manipulation in dynamic environments.

• Provide expert advice in any research, education, or advisory matters pertaining to the Institute

Qualifications

• A PhD from a well-placed university is highly desirable.
• Demonstrates good leadership, strong interpersonal skills, and management abilities, and has directed successful projects or academic initiatives.
• Candidates are expected to have a strong track record of outstanding research achievements in his/her area of expertise in the international research community.
• Evidence of course development and strong teaching in interdisciplinary and collaborative learning platforms.
• Faculty or industry practitioners who should be passionate about their disciplinary areas and have demonstrated creative capacity to provide knowledge integration in fusing human intelligence with machine intelligence.

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

Application dossiers should include a detailed curriculum vitae with a full list of publications, statements of research interests and teaching experience (maximum 3 pages each), the names of three referees, as well as any other relevant information.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an experienced Data Manager to oversee the development and use of data systems in ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID)

ADVANCE-ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The data manager should be a data expert with experience in clinical trial data management and will be working closely with both internal and external stakeholders.

Duties & Responsibilities
• Data Governance: Establishing data governance policies and procedures to ensure data quality, consistency, and integrity throughout the organization.
• Data Collection and Integration: Designing and implementing data collection methods and processes to gather relevant information from various sources.
• Database Management: Overseeing the design, development, and maintenance of databases to store and organize data efficiently. This includes database architecture, data modeling, indexing, and performance optimization
• Data Integration: Combining data from different sources into a single, unified dataset. This involves merging, consolidating, or linking data based on common data attributes or identifiers.

• Data Quality Assurance: Developing and implementing procedures for data validation,data cleansing, and data quality checks to ensure the accuracy, consistency, andcompleteness of data.
• Data Analysis and Reporting: Collaborating with investigators to provide accurate andtimely data for analysis and reporting purposes.
• Data Strategy and Planning: Contributing to the development of data strategies androadmaps aligned with the organization's objectives.
• Collaboration and Communication: Collaborating with cross-functional teams, includingIT, analytics, and business units, to understand data requirements and ensure dataavailability.
• Compliance and Regulations: Keeping up-to-date with data protection regulations,industry best practices, and emerging technologies.

Qualifications

• Experience in clinical trial data management
• Proficiency in data management tools, databases, and programming languagescommonly used in data management.
• Excellent communication and collaboration skills
• BSc or MSc in relevant field

We are seeking a motivated and enthusiastic Junior Data Scientist and Research Analyst to join our Palm Platform team. The ideal candidate will have a passion for agriculture and a thirst for learning new skills. As a Junior Data Scientist and Research Analyst, you will play a key role in developing and applying analytical and machine learning solutions to tackle various agricultural challenges. You will have the opportunity to work with large spatial-temporal datasets, standard analytical packages, and financial instruments to support supply, demand, and marketing strategies. We are looking for someone who thrives on technology and innovation, excels at solving complex problems with creative solutions, and is adept at communicating findings to local and global stakeholders proactively.

Main Responsibilities:

• Contribute to database construction:  
  • Contribute to the construction and maintenance of internal databases and Python libraries.   
• Analyse internal and external data sources:  
  • Proactively monitor external data and market intelligence, stay abreast of routine releases, policies, and market trends. 
  • Analyse and extract valuable insights from data and market information.
• Develop high-quality models, including predictive models:  
  • Use high-quality statistical, econometric, and machine learning tools to analyze large-scale internal and public commodity-related data. This includes estimating supply, demand, and price models based on sound theory, and best-practice programming techniques, and state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.  
• Create and maintain dashboards and custom tools:  
  • Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies, while ensuring its integrity and accuracy 
• Present findings:  
  • Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.   

Experiences & Competencies:

• Knowledge of statistical methods and machine learning techniques, with practical experience applying them to real-world agricultural problems 
• Strong written and verbal communication skills – Know how to communicate/explain complex ideas in a simple way to non-technical stakeholders  
• Good time management skills and ability to manage multiple tasks and work to deadlines 
• Interpersonal skills, ability to forge relationships with colleagues and external contacts 
• Ability to work within a complex and international environment 
• Genuine interest in global economics and commodities markets 

Technical Skills:

• Advanced IT skills (e.g., Excel, VBA, PowerPivot, Power Query) 
• Good Programming skills (Python, etc.) and experience with data analysis libraries (e.g., Pandas, NumPy, SciPy, GeoPandas, etc.) 
• Strong command on SQL and Data visualization tools 
• Good Business Intelligence awareness 

Language:

• English (Fluent)

Academics:

•  Degree in Computer Sciences, Statistics, or Mathematics, or related field of study

We are looking to hire a Senior Learning Executive for the APAC territory. As part of the Learning & Development team, you will initiate, support and implement world class learning plans, initiatives and systems that support the wider business goals of Johnson Controls.

As a Senior Learning Executive with several years of experience in program management, you will work closely with team members to set up and drive new/existing programs for our colleagues – with a key focus on Sales & Leadership capability enablement. Collaborating with the best sellers, subject matter experts and leaders within the business on a global basis, you will immerse yourself in our fast-paced business and regularly engage key internal stakeholders/customers. You will also earn the right to be exposed to the most cutting-edge digital developments in the world of Building Management Solutions.

Keeping our diverse array of learning journeys, pathways and resources current and relevant on our state-of-the-art digital learning platform, will be one of your strengths. Expertise in adult learning as well as being adept at tying your work to measurable outcomes will be your other.

If you are passionate about developing new skills and capabilities in the people around you - a key requirement in a rapidly changing world - please keep reading!

What you will do:

• Lead and execute Sales, Technical and Leadership training programs across Asia Pacific regions
• Engagement with key stakeholders - Directors, Sales Leaders, HR Leads, Subject Matter Experts on training needs analysis
• Design and curate up-to-date learning curriculums
• Facilitation of learning initiatives
• Deploy programs and oversee end to end training practices (Including training logistics, scheduling, registration process, calendar invites, video conversion, security of learning assets, resource planning and evaluation summary)

What we look for:

• Preferably Degree holder in Electrical, HVAC related professional
• Minimum 3 years of relevant experience
• Experience in design and developing training modules
• Passion to learn and impart knowledge
• Strong communication and negotiation skills, with a good ability to build relations with employees and external parties
• Good project management, presentation skills and analytical skills
• Strong data analysis capability

What Impact Would You Have?

Everyone wants to feel like they’re having an impact. In this position, you absolutely will. You will have the opportunity to:

• Improve the performance of our customer facing colleagues through learning application, experiences, and performance support
• Investigate new opportunities and develop effective programs that are impactful and inventive
• Align your ingenuity and innovative ideas with the strategic plan of the business and the team
• Invite and review 3rd party learning providers and shortlist only the very best for our internal business stakeholders

How Would You Accomplish This?

• Identify customized learning needs for APAC that may be specific to each local market segment. Collaborate with an internal design and development team to produce learning content
• Consult and support the Go-to-Market internal sales campaign
• Use your strong interpersonal and communication skills to work effectively with a wide range of SMEs and internal customers
• Deliver parts of the curriculum if required to enable closer working relationships with our students and stakeholders
• Analyze business needs and directly link performance outcomes to the business metrics
• Define and manage quality and metrics of all program elements
• Incorporate new product learning as appropriate that has been developed by the wider team
• Manage project timelines and delivery schedules, as well as track and measure results
• Be a role model and driver for global standards and quality outcomes

What Are We Looking For?

• Strong Initiative– Take the lead in driving what you thinks makes sense
• Technical- JCI’s portfolio of products is complex, so we need someone who is quick to grasp how building environments are created and business lines organized. Don’t worry, we’ll help you with that!
• Educated – Holds a Bachelor’s Degree in Electrical, HVAC related professional
• Creative – Invent solutions for training needs
• Agile – Adapt quickly to changing requirements/needs
• Disciplined – Able to work on the nuts and bolts of initiatives
• Detailed – Pay special care to data hygiene
• Collaborative – Teamwork, Teamwork, Teamwork!
• Ambitious – Willing to assume authority, take risks, and set clear goals for career development. We are invested in your success
• Professional – You will be joining a company well known for its strong focus on high performance, ethics and integrity
• Articulate – Your writing and communication skills must be strong.

What we offer:

• Competitive salary
• Paid vacation/holidays/sick time
• Comprehensive benefits package
• On the job/cross training opportunities
• Encouraging and collaborative team environment
• Dedication to safety through our Zero Harm policy

Position Overview:

The Specialist for Talent Acquisition Training is responsible developing and executing learning solutions that enable best-in-class customer experience and service delivery. This role will design training materials including storyboards, job aids, participant and instructor guides to deliver via classroom, e-learning, webinars and other distance and self-paced, or on-demand learning methods. This role will be a part of the Talent Acquisition Operations team and report to the Sr. Director of Talent Acquisition

Primary responsibilities:

· Design and delivery regional learning solutions curriculum and integrated calendar for delivering courses annually. Collaborate with subject matter experts and stakeholders to gather requirements and define learning objectives.

· Publish and update enterprise-wide talent acquisition standard work for the region to include communicating new changes and updates to process, policies, or technology and ensuring simple and accessible reference materials as it relates to talent acquisition for all necessary stakeholders.

· Create and deliver training programs for people leaders, Talent Acquisition associates, external vendors and RPO’s,

· Develop and deliver training around vendor systems and programs to include candidate travel, reimbursement, relocation, background checks, staffing agencies and new vendors.

· Execute the necessary processes to upload and publish relevant content to the Danaher Learning Management portal in Workday and/or Talent Acquisition communications hub.

Preferred Background and Skills:

· Bachelor’s degree or equivalent experience.

· 5+ years of relevant experience in adult learning.

· Ability to communicate and present effectively, both written and verbal.

· Drive for continuous improvement in line with Danaher’s values.

· Willingness to Improve training and facilitation skills by pursuing certification in DBS tools.

· Workday Recruiting Module expertise preferred.

Certifications (optional)

· Danaher Certified Training is a plus.

Language Skills

English fluency required. Additional language skills are beneficial.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to model the corrosion induced damage process in reinforced concrete. A multi-physics model is envisioned, to capture the ingress of chloride ions, the stress loading on concrete material due to the formation of corrosion products, and the resultant damage in concrete.

The candidate is expected to perform the following tasks:
• Develop and implement a multi-physics FE numerical model for concrete on the diffusion of chloride ions;
• Develop and implement a FE damage model for concrete to capture the development of cracks in reinforced concrete;

Job Requirements

• Possess a bachelor’s degree in a relevant field, with demonstrated experience in the following topics:
• Meso-scale generation and meshing of FE unit cells for concrete.
• Phase-field / nonlocal / gradient damage models for concrete.
• Good written and spoken communications and able to present results clearly.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The spin and energy lab at National University of Singapore invites applications for research fellow positions in spintronics. In this position, you will carry out experimental research on novel spintronic devices for memory and computing applications.

Qualifications

• Possess a recognized PhD degree in physics or nanoelectronics.
• 4-5 years of experience in experimental device/spintronics research.
• Experience in electrical transport measurements and thin film deposition/characterization.
• Open to fixed-term contract

The Agency for Science, Technology and Research (A*STAR) is Singapore"s lead public sector agency that fosters world-class scientific research and talent to drive economic growth to transform Singapore into a vibrant knowledge-based and innovation driven economy. For more information about A*STAR, please visit: www.a-star.edu.sg

A*STAR is spearheading a series of Strategic Research & Translational Thrusts (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support. Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Manger/Senior Manager/Assistant Director for SRTT Programme Research Administration and Operations.

Responsibilities & Duties:

• Support the overall administration, office management and operations of SRTTs, including research admin support (e.g., support Project Investigators (PI) in grant administration and reporting, ethics review, research software support, scientific advisory panel meeting logistics, etc.)
• Provide corporate and business service support to SRTTs, working with Corporate Group (CG) and Space, Infrastructure and Admin (SpIA) Partners and Research Institute (RI) admin teams.
• Craft, review, and implement business process workflows to achieve efficiency and optimization.
• Work with the Central Initiative Directorate (CID) team to manage and track the operating budget for supporting the SRTTs; this includes costs of SRTT staff training, development and engagement, engaging experts / advisors, CG support, and other costs that may not be directly attributed to specific SRTTs.
• Work closely with RO and other relevant stakeholders to formulate, communicate, and implement administrative policies and procedures, adhering to relevant A*STAR policies and guidelines.
• Onboard new staff and students, including visiting scientists/professors.
• Plan and prioritize to cater to the different needs of SRTTs.

Requirements:

• Preferably possess a BSc or BA in a scientific discipline.
• Minimum 5 years of experience in research administration and operations preferred.
• Strong analytical and system thinking abilities, and good project management skills.
• Good communication and presentation skills (both written and oral)
• Ability to build relationship and work across different functions and departments
• Proficiency in data analytics is a bonus

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.

What is expected from you? 

When you are at the beginning of your career, as a graduate or with a few years’ experience, your focus is on learning and developing yourself into a robust researcher. Your objective is to achieve project management excellence and become a skilled, knowledgeable, robust researcher. You are passionate about working with numbers, and by doing so you are helping major consumer goods companies to optimize their prices & portfolios. For example, you could be helping a client determine whether they should increase the price of their current shampoo range, or if it would be better to introduce a smaller sized range next to the current one. You may have more affinity with certain areas of research such as Analytics or Modelling, Data Science, Account management, but we encourage you to learn as much as possible in your early career to make sure you have a solid skillset that will set you up perfectly for the next steps in your career. 

You are expected to learn all the process steps of Market Research. This includes: 

• scripting and technical set up of studies  
• modelling and data analysis 
• giving actionable pricing recommendations to clients  
• working with clients from day one 

Some SKIMmers may focus more on the technical elements of research such as Data Science, Statistics, Modelling, Programming; their journey into Market Research is therefore different, because we emphasize each individual’s unique talent. But saying that, we do think it’s important to be exposed to all the different corners of Research before you decide which career paths excite you most. We expect you to learn, gain experience, maximize exposure to different challenges, build your technical skills, develop independence and project management excellence.  

As an intern for AI research engineer, the candidate will work on developing AI methods or solutions related to computer vision tasks for autonomous disassembly process. The candidate will focus on the following tasks:

•    Understand the typical process and challenges for automated disassembly.
•    Collect information on different types of defects and damages for automotive parts.
•    Conduct comprehensive evaluation   on collected data and derive systematic categorization.
•    Develop advanced computer vision algorithm for object detection, segmentation and pose estimation using state-of-the-art methodologies.
•    Explore potential solutions   to handle unexpected defects.
•    Integrate the algorithm into software and hardware platform.
•    Closely collaborate and communicate with other team members.

Job Description & Requirements

• Execute & conduct age-appropriate curriculum according to the Company’s curriculum framework
• Maintain quality classroom and learning environment that promotes learning in accordance to the curriculum framework
• Foster a trusting and respectful relationship with children and parents by being a positive role model
• Execute daily routine accordance to time schedule
• Maintain minimum admin work for reference / record purpose

Requirements:

• Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), Diploma in Child Pyschology & Early Education
• GCE 'O' Level credit in English
• Good problem solving and interpersonal skills
• Ability to build good rapport with parents and various stakeholders
• Enjoy and love the company of young children
• Team player
• Preferably energetic, vibrant and child-like!

Job Description

• Consistently maintain regular observation and evaluation of infant/toddler’s development and growth progress
• Ensure safety of each child through close supervision, whether in the classroom setting, play area, or any other areas within the school compound
• Perform childcare / infant care routines in a prompt and hygienic manner that is consistent with the early years child development practices. These routines include diapering, feeding, bathing, hand washing, napping and transitioning between activities
• Maintain daily journal of milk feeds, solid feeds, diapering, etc., in accordance to relevance for each age group (Babies, Junior and Senior Infants)
• Plan and implement engaging learning experiences/exploration

Qualifications

• Certificate in Infant/Toddler Care and Development (CIT) / Higher Certificate in Infant Care (HCIC) / Advanced Certificate in Early Years (ACEY)
• Candidates who are keen for a career-conversion to pursue his/her passion in early years education are welcomed to apply

Other Information

• At least one (1) year of relevant experience will be added advantage
• Willing to learn, with good attitude
• Able to work well independently as well as within a team
• Passionate about working with young infants/toddlers
• Driven to make an impact in the early years education of the young

Job Description

The department is looking for an established and renowned scholar or practitioner in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments to serve as a visiting professor.

The research agenda of the sabbatical will address two to three aspects of flapping-flight MAVs inspired by bats, in particular its (i) aerodynamics, (ii) robotic replication, and - if time permits - its acoustic characteristics. The research work, especially on topics (i) and (ii), will build on three strands of ongoing research: (i) The collection of experimental data from bat flight that has started in Brunei in the summer of 2023 and will be continue in the summer 2024, (ii) complexity analysis of bat flight kinematics, and (iii) design and implementation of biomimetic MAVs.

Qualifications

• Holding professorship in IHL or equivalent in industry
• Established individual in the field of Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich teaching or practice experiences in Bioinspired Robots, Deep-Learning for Sensing and Control, Autonomy in Natural Environments
• Rich international exposure in both academia and industry

Interested applicants are invited to apply directly at the NUS Career Portal. Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.

Job responsibilities

• Assist main teacher with routine care and classroom management.
• Assist to manage the well-being and daily needs of children (eg. meals, showering, toileting etc)Assist in handling of classroom administration.
• Any other ad hoc duties as delegated by Centre Principal.

Qualifications

• Candidates without prior experience are welcome to apply.
• Candidate with teaching experience / relevant certification will be added advantage.
• Certificate in Infant/Toddler Care and Development (CIT) / Higher Certificate in Infant Care (HCIC) / Advanced Certificate in Early Years (ACEY) / Certificate in Early Childhood. Care and Education, or Diploma in Child Psychology & Early Education.
• WSQ Advanced Certificate in Early Years (WSQACEY).
• Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), or Diploma in Child Psychology & Early Education.

Other Information

• Excellent communication and interpersonal skills.
• Able to work well independently as well as within a team.
• Passionate about working with children.
• Driven to making a positive impact in the early education of the young.
• Ability to build good rapport with parents and various stakeholders.

Job Description & Requirements

• Execute & conduct age-appropriate curriculum according to the Company’s curriculum framework
• Maintain quality classroom and learning environment that promotes learning in accordance to the curriculum framework
• Foster a trusting and respectful relationship with children and parents by being a positive role model
• Execute daily routine accordance to time schedule
• Maintain minimum admin work for reference / record purpose

Requirements:

• Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), Diploma in Child Pyschology & Early Education
• GCE 'O' Level credit in English
• Good problem solving and interpersonal skills
• Ability to build good rapport with parents and various stakeholders
• Enjoy and love the company of young children
• Team player
• Preferably energetic, vibrant and child-like!

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a motivated and hands-on individual who will assist with field surveys and mariculture research based at the St John’s Island National Marine Laboratory.

Job Scope includes:

• Conduct regular biodiversity field surveys (intertidal).
• Specimen processing including Imaging
• Conduct daily animal husbandry
• General maintenance and housekeeping of field equipment and aquarium
• Procurement for project needs
• Assist in data analysis and report writing/scientific paper writing
• General administrative duties
• Other duties as and when assigned

Qualifications

• Bachelor’s degree in Science from a recognised University, majoring in Biology, Zoology, or equivalent
• Proficiency in oral and written English
• Able to work in a team and independently
• Experience with animal husbandry and fieldwork will be an advantage
• Strong interest in marine science
• Job position is based at the St John’s Island National Marine Laboratory, St John’s Island.

Ferry transport to work will be provided.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

Job Overview:

We are seeking a highly motivated and experienced Lead Research Officer with expertise in synthetic biology and bioinformatics to spearhead our innovative projects at the intersection of these fields. The ideal candidate will drive forward our research agenda, leveraging their deep understanding of synthetic biology principles and bioinformatics tools to lead interdisciplinary teams towards project success. This role requires strong leadership, technical proficiency, and strategic thinking to advance our scientific objectives and contribute to groundbreaking discoveries in synthetic biology.

Responsibilities:

Strategic Research Leadership:
Lead the design and execution of research projects at the forefront of synthetic biology, integrating bioinformatics approaches for data analysis and interpretation.
Develop and communicate a clear scientific vision, setting strategic research goals aligned with organizational objectives.

Project Planning and Execution:
Develop comprehensive project plans, timelines, and milestones in collaboration with cross-functional teams.
Oversee project execution, ensuring adherence to timelines, budgets, and quality standards.
Provide scientific guidance and technical expertise to research teams, troubleshooting challenges and driving innovative solutions.

Bioinformatics Analysis and Integration:
Apply bioinformatics tools and methodologies to analyze genomic, transcriptomic, and proteomic data relevant to synthetic biology projects.
Integrate bioinformatics analyses into experimental design and data interpretation, driving insights and guiding research directions.

Team Leadership and Mentorship:
Mentor and support team members, fostering a collaborative and inclusive research environment.
Provide scientific leadership, guidance, and technical training to research staff, empowering them to excel in their roles.

Communication and Collaboration:
Communicate research findings, progress, and implications to internal and external stakeholders through presentations, publications, and reports.
Collaborate with academic and industry partners to leverage complementary expertise and advance research objectives.

Regulatory Compliance and Ethical Standards:
Ensure compliance with regulatory requirements and ethical standards governing synthetic biology research.
Collaborate with regulatory affairs teams to facilitate regulatory approvals and adherence to best practices.

Requirements:

• B.Sc in Synthetic Biology, Bioinformatics, Molecular Biology, or related field.
• At least 8 years of relevant experience
• Extensive experience leading interdisciplinary research teams in synthetic biology or related fields.
• Proficiency in bioinformatics tools and programming languages commonly used in genomic and proteomic analysis (e.g., Python, R, BLAST, UCSC Genome Browser).
  Strong understanding of synthetic biology principles and techniques, including DNA synthesis, assembly, and characterization.
• Excellent leadership, communication, and interpersonal skills, with a track record of fostering collaboration and innovation.
• Experience with regulatory compliance processes and standards applicable to synthetic biology research (e.g., biosafety regulations) is preferred.
• Demonstrated ability to develop and execute strategic research plans, driving scientific advancement and contributing to organizational goals

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.

About Us:

The Bioinformatics Institute at the Agency of Science, Technology and Research is at the forefront of cutting-edge research in the field of bioinformatics, contributing to advancements in drug discovery, clinical diagnostics and therapeutics, biological knowledge creation and beyond. We are seeking a dynamic and experienced Programme Manager to join our team to lead the execution of research programmes across multiple institutes and external entities.

About This Role:

As a Programme Manager at the Bioinformatics Institute within the Agency of Science, Technology and Research, you will play a crucial role in driving the success of our research programmes. This dynamic position requires a blend of strategic thinking, effective communication, and project management skills to ensure the seamless scoping, alignment and execution of cutting-edge projects.

You will be at the centre of action of interdisciplinary collaborations, working closely with research teams, external partners, and stakeholders to advance the field of bioinformatics. This role offers a unique opportunity to contribute to groundbreaking scientific discoveries while navigating the challenges of managing diverse programmes. If you are a motivated and skilled individual with a passion for scientific innovations, this role provides an exciting platform to shape the future of bioinformatics research.

Key Responsibilities:

1. Programme Ownership:
   • Take ownership of research programmes together with the scientific lead, overseeing the entire lifecycle from project formation to execution.
   • Collaborate with research teams in the early phases to assist in proposal scoping and development, funding acquisition, and project initiation.
2. Project Management:
   • Utilize strong project management skills to ensure projects are delivered on time, on target and within resources.
   • Develop and implement project plans, track progress, and proactively identify and mitigate risks, under framework agreements.
   • Work closely with scientific lead to pitch to management and gain required approvals for contract execution and funding.
   • Working with other project managers in the programme to coordinate execution and reporting.
   • Manage multiple programmes concurrently, each at different stages of development, with varying levels of attention required.
   • Prioritize and allocate resources efficiently to meet programme objectives
3. Stakeholder Management:
   • Engage with internal and external stakeholders to build strong relationships and ensure alignment with programme goals throughout programme lifecycle.
   • Effectively communicate project updates, milestones, and potential challenges to stakeholders.
4. Conflict Management:
   • Demonstrate strong conflict resolution skills to address issues promptly and maintain positive team dynamics.
   • Navigate challenges tactfully while keeping the focus on programme objectives.
5. Strategic Partnering and Business Development:
   • Work with the Business Development team to assemble Industrial Stakeholders and Performers across Research Institutes (RI"s) to build a cohesive team for the execution of the programme.
   • Supporting on Strategy and Business Development activities when called upon.

Additional Considerations:

• Collaborative Environment: Foster a collaborative and inclusive work environment, promoting teamwork and knowledge-sharing across diverse research and project teams.
• Adaptability: Demonstrate flexibility in adapting to the evolving needs of research programmes and the institute, contributing to an agile and responsive work culture.
• Continuous Learning: Stay abreast of emerging trends and advancements in bioinformatics and related fields, strategic directions and programmes in A*STAR, integrating new knowledge into programme strategies.
• Budget Oversight: Collaborate with finance teams to monitor programme budgets, ensuring financial sustainability and sufficient resource allocation.
• Independence and Motivation: Self-motivated individual capable of driving projects and programmes independently.
• Strive for Excellence: Uphold high quality of performance, and taking initiatives to identify opportunities for programme improvement and innovation.
• Resourcefulness: Ability to get guidance and support from other job functions and divisions in A*STAR to be position the programme, resolve bottlenecks and ensure smooth execution of the programme.

Qualifications:

• Bachelor or other advanced degree in bioinformatics, biomedical engineering, life sciences or relevant scientific or management field.
• Proven success in programme and project management, preferably in a research or academic setting. PMP certification is a preferred.
• Strong understanding of bioinformatics and life sciences.
• Excellent written and verbal communication skills.
• Excellent interpersonal skills
• Demonstrated ability to manage multiple stakeholders and conflicting priorities.
• Proficiency in conflict resolution and problem-solving.

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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is an open, collaborative and inclusive platform comprising education, research and advisory services that will draw on the varied talent and expertise of the university in its colleges, faculties and departments and centre of excellence. It aims to educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics. Its research will be inter-disciplinary, taking a system approach to tackle some of our biggest urban challenges, and in the process, gradually developing a Science of Cities. It will also provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

We are building up our pipeline of talent and are looking for highly motivated individuals who have a curiosity and passion to learn, teach and research about cities in our various programmes. We promise an exciting journey with us as we build and grow NUS Cities.

The successful candidate for this Instructor position will be part of the NUS Cities teaching team which teaches undergraduate core and minor modules. The full-time appointment is for a contract period of 2 or 3 years with the possibility of extension.

• Work with the academic leads of NUS Cities to develop effective face-to-face and online teaching and learning initiatives.
• Development of bite size videos in the domain of Science of Cities to facilitate e-learning delivery to learner.
• Supervision of learners across various levels (undergraduates, postgraduates, adult learners, etc.).
• Facilitate lectures / studio sessions and create an engaging and enriching environment for learning.
• Provide learner consultation.

Qualifications

• A recognised Master’s or Doctoral degree focuses on Cities-related studies/research.
• Candidates must have excellent verbal, reading, and written skills and the ability to explain difficult concepts across clearly.
• Be able to work well independently and with a multi-disciplinary team with diverse interests.
• Possess good knowledge and strong interest in urban sciences / cities-related disciplines.
• Driven to improve pedagogical methods.
• Strong ability to engage and facilitate discussions with undergraduate students.
• Prior teaching experience will be an advantage.
• Prior teaching experience with good student feedback will put candidates in a strong standing.
• Familiar with innovative education tools is an advantage.
• Applicants must provide CV, three recommendation letters and evidence of effective teaching.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will work with Dr Chen Wenqian to help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)
o To serve as a lab safety lead.
o To be responsible for lab ordering.
o To organise chemicals and consumables in the lab and update the inventory.
o To create and review standard operation protocols (SOPs) and risk assessments (RAs).
o To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)
o To perform peptide synthesis and characterization of synthesized peptides.
o To perform peptide crystallization and characterization of crystallized peptides.
o To prepare tablets from crystallized peptides and perform characterization of the prepared tablets.
o To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:
• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:
• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:
• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

Job Description

We are looking for a research officer to apply biomolecular modelling methods, including homology modelling and molecular dynamics, to understand the molecular mechanisms of coding variants that are associated with type 2 diabetes. Where applicable, structures of protein–ligand, protein–protein, protein–nucleic acid complexes will be modelled to determine the effect of the mutation on these interactions. The successful candidate will also have opportunities to work on collaborative projects with experimental groups to develop therapeutics and understand biochemical mechanisms.

Job Requirements

• Bachelor"s degree in life sciences, chemistry, computational biology, or a related discipline
• Passion for science and research
• Strong knowledge of structural biology
• Keen interest in programming. Prior experience is preferred, but not required.
• Able to work independently and as part of a team
• Highly motivated
• Excellent written and oral 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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.