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 seeking a highly motivated candidate with a strong research background in computational catalysis, particularly Density Functional Theory (DFT), Molecular Dynamics (MD), Machine Learning (ML) and be able to lead their own research while collaborating with other team members.

The successful candidate will work with Asst. Prof. Pengfei Ou on Computational Catalysis under a project on "Accelerated Discovery of Catalytic Materials" to contribute to the discovery of new catalytic materials and next-generation catalysts.

Qualifications / Discipline:

- A PhD in Chemistry, Materials Science and Engineering, Chemical Engineering, Physics, or a closely related field.

Skills:
- Preference will be given to candidates with a strong research background in computational catalysis, computational materials science, AI/ML, DFT calculations, and (ab initio) MD simulations.
- Machine learning experience and a strong proficiency in Python programming and data analysis.

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should also have some research experiences.

Research & Development Sous Chef

Overview

A fantastic opportunity for a creative, passionate and driven individual to be part of a growing manufacturing company with opportunities for long-term career progression as the business grows. You will be the expert in recipe development and culinary innovation.

As a R&D Sous Chef, you will work closely with the management and quality assurance department to develop new recipes and refine taste profiles through experimentation for B2B customer – Café, Education, Catering and Retail products. You will train kitchen team members, supervise and coordinate all culinary activities. You are also responsible for preparing consistent, high quality food products and improve efficiency to streamline kitchen operations.

Responsibilities include:

• Create new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations
• Confirm product formulations and other information for constructing product specifications and documentation
• Make recommendations in the design of new manufacturing processes or to change current equipment or processes
• Plan, manage and run panel sessions and sensory tests on food products
• Review ingredients to meet customer needs and requirements
• Monitor and maintain product quality and food safety system
• Conduct food safety and shelf-life risk management during the product development stage
• Ensure the cleanliness and maintenance of all work areas, utensils, and equipment
• Conduct studies to discover ways to improve the efficiency of production processes
• Ensure manufacturing and processing staff wear appropriate sanitary and protective gear to ensure health and safety
• Monitor every aspect of production to ensure compliance with established procedures and standards
• Oversee the maintenance, repair, and replacement of production equipment to ensure smooth work operations
• Set production objectives and implement action plans for achieving set targets
• Conduct forecast to identify potential risks and contingencies in a proposed project
• Prepare periodic reports to update upper management on food production activities
• Create workshifts to ensure round-the-clock food production operations
• Maintain accurate inventory of raw materials and processed food products
• Ensure products and raw materials are stored properly at optimum conditions
• Carry out surveys to identify customer requirements and adjust to meet such needs
• Follow all safety and sanitation policies when handling food and beverages

Minimum qualifications

• At least 8 years of relevant working experience in F&B
• Culinary-related certifications/Diploma preferred
• Fluency in English and Chinese

Requirements

• Good communication and interpersonal skills
• Able to work within deadlines and well-organised in handling multiple projects
• Strong and proven track record of executing projects
• Positive attitude and eager to learn
• Display strong initiative and able to work independently
• Thrive in a fast-paced environment and able to adapt quickly
• Strong understanding of food manufacturing processes
• Proficient in cost management and production efficiency strategies
• Knowledge in food safety and quality hygiene systems e.g. HACCP, GMP, Food safety management systems e.g. ISO 22000, AIB, FSMS 22000, etc.
• Creative, detail minded, with excellent communication skills and can work independently and as a team
• Strong project management and influencing skills

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 have an opening for a Research Fellow (Transportation) in areas related to connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to traffic control in urban and highway contexts, vehicle dynamics and control, and optimization of transportation infrastructure. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a PhD degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields
• Research experience in Intelligent Transportation Systems with excellent publication record
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable .
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team.
• Open to fixed-term contract.

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

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Experience in formal writing in English - for research work purposes
• Adaptable and able to multi-task
• Proficient in MS office applications

We regret to inform 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

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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 successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

Responsibilities:

• Manage and execute clinical projects and administrative tasks.
• Ensure proper documentation and maintain an up-to-date database.
• Perform maintenance and calibration of equipment.
• Conduct data entry and collect clinical data.
• Plan and schedule subject visits, including recruitment activities.

Job Requirements:

• Possess at least a Diploma or Degree.
• Able to work independently and meet tight project deadlines.
• Strong team player with the ability to work independently.
• Skilled in prioritizing tasks and multi-tasking effectively.
• Excellent coordination and interpersonal skills.

To apply for this position, please email your detailed resume, including your current and expected salary, to [email protected].

We regret that only shortlisted candidates will be notified.

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

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 successful candidate will work with Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Our department is seeking to hire a responsible and talented Research Fellow (RF) to support research aiming to develop AI embedded methods and tools to facilitate the testing procedure of Continental products. This project needs the employee to apply computer vision AI techniques and learning algorithms to build toolkits that automatically generates complete architecture of test cases and corresponding labels, which will spend plenty of time in traditional manual testing. The RF is also involved in some academic works including, reinforcement learning, computer vision, and software testing.

Key Responsibilities:

• Conducting the research in AI domains (e.g., reinforcement learning and image recognition), software testing, program synthesis
• Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially software testing (automatic test case/plan generation)
• Conducting the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models
• Participating in co-operation with Continental’s development team
• Interacting with Continental business units
• Developing and integrating AI algorithms into the real development progress
• Preparing academic publications such as pattern, research paper
• Contributing to seasonal and annual report writing and presenting

Job Requirements:

• PhD degree in Artificial Intelligence, Computer Science, Software Engineering
• Strong background and research experience in artificial intelligence, software engineering, automatic testing, program synthesis
• Excellent background and experience in programming language, especially python
• Good communication and report-writing skills
• Strong responsibility for research and work

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 successful candidate will work with PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

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.

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 4 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies.
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc.
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable
• Good team-player, good communication skill, problem solver, thinker and doer, able to exhibit leadership when needed
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Entry level candidates are welcome to apply

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

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract, with the possibility of renewal, at the Centre of Research in Pedagogy & Practice, Office of Education Research.

Project Title: Data and Theory Driven Artificial Intelligence to Boost the Science of Learning

Project Introduction: This project will leverage big data generated from online education platform approaches to build Science of Learning for effective education. The project will focus on: (1) current trends and advancements for the role of Artificial Intelligence (AI) in Education, including Generative AI, (2) implementing experimental studies for teaching and learning for mathematics with AI in primary schools, and (3) publishing research findings for different stakeholders including researchers, policymakers and teachers.

Requirements:

• Academic qualification: a Master degree in Data Science, Psychology, Education, Social Sciences or related field. Candidates with a PhD may be considered for a Research Fellow position.
• Work experience: Preferably with experience in social science or education research
• Desirable interests, skills, and attributes:Learning analytics, conversational analysis and/or dialogical learning/pedagogy
  Expertise in educational technology
  Proactive, eager to learn and perform
  Good self-management skills for task structure and management to achieve given goals and objectives
  Experience in Artificial Intelligence and machine learning
  Candidates with knowledge and skills in systematic review are welcome to apply
  

Responsibilities:

• Co-design and develop experimental research that aligns with the project needs and requirements
• Research and devise appropriate learning analytics/conversational analysis tools for data analysis
• Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
• Communicate research implications of data to various stakeholders, i.e., researchers, policymakers, educators, etc.

Application

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

Workday Job Requisition ID: R00017839

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research---NIE-_R00017839)

Closing Date

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

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 successful candidate will work with Assoc. Prof. Han Vinh Huynh and Assoc. Prof. Utkur Mirsaidov on the exploration of methods for selective etching in the pursuit of improving the fabrication of interconnects in semiconductors. To achieve this a detailed understanding of the (redox) chemistry of various current etching methodologies is crucial. Synthetic skills and knowledge in molecular chemistry are advantageous. In addition, s/he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications / Discipline:

- Ph.D. or equivalent degree in Chemistry or Materials Science

Skills:
- Synthetic skills in organic and inorganic chemistry

Experience:
- Experience in molecular and surface science including hands-on experience in various analytical techniques (NMR, MS, TEM, SEM, XPS, etc.)

R&D Executive

Position Overview: We are seeking a dynamic and innovative R&D Executive to join our team in the manufacturing of dairy products. The ideal candidate will play a crucial role in developing new products, improving existing formulations, and ensuring that our products meet the highest standards of quality and safety.

Key Responsibilities:

• Product Development: Lead the research and development of new dairy products, including formulation, testing, and scale-up processes.
• Quality Improvement: Analyze and enhance existing products for taste, texture, shelf-life, and nutritional content.
• Regulatory Compliance: Ensure all products comply with relevant food safety and quality regulations, including labeling and nutritional guidelines.
• Market Research: Conduct market analysis to identify trends, consumer preferences, and opportunities for new product development.
• Collaboration: Work closely with cross-functional teams, including production quality assurance, to ensure successful product launches.
• Monitoring: Oversee the unstuffing of incoming cargo for urgent usage, ensuring timely availability of materials.
• Trial Samples: Ensure that trial samples meet the required specifications of customers before proceeding with production.
• Raw Material Testing: Verify that raw material test results are available and meet specifications prior to production.
• Documentation: Maintain accurate records of experiments, formulations, and processes, and prepare reports for management review.
• Innovation: Stay updated on industry advancements and emerging technologies in dairy processing and product development.

Qualifications:

• Bachelor’s degree in Food Science, Dairy Science, or a related field
• Proven experience in R&D within the food or dairy industry (3+ years preferred).
• Strong understanding of dairy processing techniques and product formulation.
• Familiarity with food safety regulations and quality assurance processes.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Proficient in using laboratory equipment and software for data analysis.

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, Science of Learning in Education Centre.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1

Project Introduction:

This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.

Project 4 Research Questions

1. To what extent do adolescent lifestyles and wellbeing differ across groups of students cross-sectionally,?

2. What are the contributions of individual, school, and home factors to adolescents' emotional wellbeing?

3. What is the association between adolescent relationships (with parents, teachers, peers) and wellbeing?

Project 6 Research Questions

1. What is life like for adolescents with SEN in secondary schools?

2. How do their lifestyle similar or different from that of their peers?

3. How do students with SEN in secondary schools do in terms of their wellbeing?

Requirements

• Bachelor’s degree or above, preferably in Psychology, Sociology, or a related field
• Familiar with the Singapore education system (mainstream / special education)
• Familiar with survey data collection and management
• Able to perform statistical analysis confidently (e.g., factor analysis, regression)
• Proficient in Microsoft WORD, EXCEL, and POWERPOINT, TEAMS applications
• Possess strong interpersonal communication, writing and language skills
• Possess knowledge of qualitative and quantitative statistical software programs
• Able to work independently with minimal supervision.
• Able to work cooperatively in both small (<3 pax) and large teams (>10 Pax)

Preferred

• Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
• Experience in working with databases.
• Experience with Qualtrics
• Familiar with major theories in educational social psychology (e.g., motivation, self and identity, social and cultural capital)
• Possess relevant experience in educational or psychological research.
• Familiarity with the Special Education Sector will be beneficial for Project 6

Responsibilities

• Liaise with participating schools/parents/teachers and other researchers involved in the project
• Prepare for, and implement data collection
• Maintain records and document research progress
• Assist with data preparation, entry, and analysis
• Assist in the administration and management of project related matters
• Assist in writing of reports and papers for publication
• Conduct and summarise academic literature reviews
• Learn and perform statistical analysis independently
• Support the project in Administrative work (handling PTRAs, logistics, voucher distributions, participant engagement events, Taking meeting minutes, supporting International Advisory Panels
• Other tasks as assigned by the Principal Investigator / Co-PIs

Application

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

Please include your name in your CV file name.

Workday Job Requisition ID: R00019321

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019321)

Closing Date

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

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

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

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

Requirements:

• Academic qualification:

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

• Work experience:Prior experience conducting systematic literature reviews
  Prior experience conducting qualitative and quantitative analysis
  Prior experience conducting meta-analysis
  Prior experience disseminating research findings targeting the general public and academic audiences
  
  
• Desirable interests, skills, and attributes:Passion for teaching and learning
  Interest in effective teaching in school settings
  Have good communication and organizational skills
  Have good interpersonal skills
  Be a good team-player, proactive, and able to work independently
  

Responsibilities:

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

Application

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

Workday Job Requisition ID: R00019323

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research--Science-of-Learning-in-Education-Centre---NIE-_R00019323)

Closing Date

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

Research Assistant

The Earth Observatory of Singapore (EOS) invites applications for the position of Research Assistant who will work with Assistant Professor Aron Meltzner’s research group.

Key Responsibilities:

• Assist with surveying, sample collection, sample processing, carrying of equipment, and similar tasks
• Analyze and interpret tide-gauge data and sea-level proxy data from coral microatolls
• Arrange logistics and handle administrative requirements associated with field work, locally and overseas
• Assist with procurement of equipment and supplies, and similar administrative tasks
• Assist with obtaining research permits, and writing and submitting annual reports
• Participate in the preparation of presentations for conferences and of manuscripts for publication

Job Requirements:

• The candidate should possess a Bachelor’s degree in geological or environmental sciences or similar field.
• The candidate should have extensive field experience in geological or environmental sciences, including field surveying and working in coastal environments.
• The candidate should have working knowledge of coral microatolls and how they grow.
• The candidate should have experience in Adobe® Photoshop®, Adobe® Illustrator®, Microsoft® Excel®, QGIS, R, RStudio, and Agisoft Metashape.
• The candidate must be able to swim, as this will be essential when working in the field.
• Experience doing remote field work overseas will be advantageous.
• Willingness to work occasional early mornings, evenings, or weekends (with time off in lieu as appropriate) is essential, as the timing of field work is dictated by tides and seasons.

Application Procedure:

Interested applicants are invited to submit a full CV for consideration for the post.

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

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:

We are seeking for an enthusiastic and capable computational scientist to help identify protein or metabolite biomarkers of disease risk or treatment response. The scientist will work with an interdisciplinary team of molecular biologists, clinicians, epidemiologists, statisticians and engineers to analyses human data from diverse cohorts. The research will have an impact on adolescent and adult health, as well as develop AI technologies for developing interventions.

Job Responsibilities:

• Apply advanced statistical and computational methods to analyze large datasets of protein or metabolite profiles.
• Develop multi-modal data analysis pipelines for drug discovery and disease modifying strategies
• Perform machine learning analyses on large biomedical datasets for diagnostic or therapeutic applications
• Manage research projects, from hypothesis generation to results dissemination
• Design protein profiling studies and help prepare funding proposals
• Coordinate collaborations with external advisors, institutions, and interdisciplinary teams.

Job Requirements:

• PhD in Chemistry, Bioinformatics or Biomedical Engineering or a related field
• Expertise in protein profiling and computational modelling of multi-modal patient datasets
• Developed or used machine learning approaches to predict diagnosis or health outcomes
• Demonstrated ability to publish in high-impact journals on protein biomarkers in humans and approaches to profile them

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

Desire Lines provide strategic consultancy for environmental, cultural, and social-impact organisations and initiatives. Based in Asia and well-connected with the world, we’re curious about places, people, policies and their potentials.

We are looking for a proactive and positive Editorial & Research Assistant to join our team. In this new role, you will work closely with DL colleagues, along with a dynamic group of external partners to support our projects. If you enjoy paying close attention to detail, are professional, discreet and meticulous in your work and have a flair and interest in writing, editing and research, this could be the role for you.

The Editorial & Research Assistant will provide support to the team through:

• Writing and editing texts for reports, books, articles and web
• Conducting image research and securing rights
• Conducting desktop research in support of publication development
• Proofreading documents
• Editing interview and event transcripts
• Participating in meetings with DL team / partners / clients, including note-taking
• Various administrative and logistical tasks as the need arises.

This is a 90% virtual role; the successful candidate will work independently from Singapore using their own laptop.This job description covers the main responsibilities and conveys the spirit of the sort of tasks that are anticipated proactively from the Editorial & Research Assistant. Other tasks may be assigned as necessary according to emerging organisational needs and the Assistant’s individual talents.

Required Skills and Competencies

• Minimum two years of working experience after completing a university degree in a relevant subject (e.g. Liberal Arts, English, Journalism, Media, Creative Writing). Superb knowledge of and love for the English language, with outstanding written and spoken communication skills.
• Demonstrable track record in writing, editing and proofreading in professional, academic or voluntary (e.g. an independent publication) settings.
• Proficiency in desktop and bibliographic research and fact-checking.
• Demonstration of initiative, proactiveness and planning; able to anticipate needs.
• Strong problem solving, prioritization, organizational and time management skills.
• Comfort alternating between independent work with light-touch guidance, andsprints of close team working.
• Able to maintain professionalism, composure and confidentiality under conditionsof stress (e.g. short time lines, multi-stakeholder management).
• Strong proficiency with Word/Pages/Google Docs, Google Slides, Excel required;Adobe Creative Suite a welcome bonus.
• Working knowledge and interest in creative industries, culture and sustainability isdesirable.
• Experience working with digital-first outputs (e.g. websites) is a plus.

Further Information
Working hours: Part time, 24 hours per week, for an initial six month period, with a possibleextension, starting from end February or start of March 2025.

Remuneration: SGD1,920/monthApplicants must legally reside in Singapore and be either Singaporean Citizens or Permanent Residents.