Total 1,132 Science / R&D / Research job vacancies in D22 Jurong, Jurong Island, Tuas

Job Description:

• Direct the creation and implementation of L&D strategies, plans and budgets
• Assist in formulating and communicating L&D related policies
• Identify and implement strategies to attract, develop and retain talent
• Participate in campus fairs for graduate engineers and intern intake
• Administer internal and external training program
• Monitor and manage training records and employee learning progress
• Facilitate staff orientation and briefings for new hires
• Collaborate with hiring managers on recruitment needs, aligning with manpower plan
• Support HR solutions development and implementation
• Provide support on other HR functions and areas as assigned by the HR Manager

Requirements:

• Degree or Diploma in Human Resources Management, ACTA or equivalent.
• Proven HR experience, especially in L&D and recruitment, preferably in construction industry
• Excellent communication, presentation and interpersonal skills
• Meticulous, detailed and able to handle confidential information
• Ability to manage multiple priorities in a dynamic environment

Information provided in response to this job advertisement will be treated in strict confidence and be used for recruitment purpose only.

The Air Traffic Management Research Institute (ATMRI), established in 2013 through a strategic partnership between NTU and the Civil Aviation Authority of Singapore (CAAS), is a premier institution dedicated to advancing the science and technology of air traffic management. ATMRI aims to enhance the efficiency, safety, and sustainability of the worldwide air transport system.

Key Responsibilities:

• Support research and development related to qualifying human-centric demand for automated support operation applied to Air Traffic Control and Air Traffic Management.
• Develop a hierarchical scenario analysis tool to identify behavioral flows in dynamic and complex interactions.
• Develop prototypes and intelligent tools for an adaptive human-AI hybrid collaboration mode.
• Support the Principal Investigator/Team Lead with project management activities and preparation of progress reports.
• Communicate and collaborate effectively with industrial and academic partners.

Job Requirements:

• Master's degree in Design, Human-Computer Integration, User Experience, Operation Research, Industrial Engineering, or equivalent.
• Support research and development related to qualifying human-centric demand for automated support operation applied to Air Traffic Control and Air Traffic Management.
• Demonstrated project experience in human-computer interaction, usability testing, or related fields.
• Excellent knowledge of programming and prototyping tools relevant to the field.
• Good English writing and communication skills.
• Ability to work independently and as part of a team.

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI), established in 2013 through a strategic partnership between NTU and the Civil Aviation Authority of Singapore (CAAS), is a premier institution dedicated to advancing the science and technology of air traffic management. ATMRI aims to enhance the efficiency, safety, and sustainability of the worldwide air transport system.

Key Responsibilities:

• Exploring best practices and methods for human-machine integration.
• Designing human-machine interaction interfaces that meet user needs and workflow.
• Analyzing and optimizing users' cognitive load.
• Developing and testing user-friendly interaction designs to improve work efficiency.
• Conducting qualitative and quantitative research to collect user feedback for improving the design.
• Collaborating across disciplines with human factors engineers, cognitive scientists, and other teams.
• Writing research reports and design guidelines to document findings and recommendations for the project.

Job Requirements:

• A Master’s degree such as Industrial Engineering, Industrial Design, Ergonomics, Human Factors or relevant fields.
• Significant experience in evaluating and designing human-machine interaction interfaces.
• Excellent knowledge of experiment design and data analysis.
• Proficiency in essential evaluation techniques like event-related potentials (ERPs) and eye-tracking.
• Ability to work independently and in a team-oriented, collaborative environment.

We regret that only shortlisted candidates will be notified.

The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching institution in strategic and international affairs and policy-oriented think tank in the Asia-Pacific region.

RSIS is seeking suitable candidates for the position of Research Fellow/ Associate Research Fellow/ Senior Analyst/ Research Analyst in the Maritime Security Programme. The successful applicant is expected to contribute to the Programme through doing research, data management and publication on maritime security issues. In addition, the successful applicant will assist with arranging courses, seminars, conferences and workshops for the programme. The successful candidate should possess at least a Master degree in a relevant field and possess aptitude, interest and commitment for in-depth research, able to work independently, fluent in English with good writing and research skills.

All applicants should submit the following:

• A cover letter specifying how your qualifications match the job description;
• A detailed curriculum vitae;
• 2 published articles or writing samples; and
• 2 reference letters.

We regret that only shortlisted candidates will be notified.

For further information about RSIS, please visit our website: www.rsis.edu.sg.

The Air Traffic Management Research Institute (ATMRI), established in 2013 through a strategic partnership between NTU and the Civil Aviation Authority of Singapore (CAAS), is a premier institution dedicated to advancing the science and technology of air traffic management. ATMRI aims to enhance the efficiency, safety, and sustainability of the worldwide air transport system. We invite a suitable candidate to join the strong research team in ATMRI (MAE, NTU) as a Principal Research Scientist to provide strategic leadership and support for all aspects of R&D activities.

Key Responsibilities:

• Lead and guide R&D projects, with a particular focus on human factors, human-AI ATC systems, and advanced machine learning algorithms.
• Take a leading role in designing theoretical foundations of methods as well as experiments validating the developed methods.
• Plan and execute detailed R&D activities to meet project objectives and deadlines.
• Supervise researchers/students.
• Initiate and evaluate relevant literature reviews and assessments of the state-of-the-art technologies.
• Generate novel scientific or technological concepts for application of breakthrough nature.
• Conduct innovative and high-quality research.

Job Responsibilities:

• PhD in Computer Science, Computer Engineering, Applied Science or other relevant fields from the top renown universities.
• At least 15 years of R&D experience in academia or industry.
• Solid technical foundation in human factors, AI, and human-machine interaction with a comprehensive understanding of global current and emerging trends.
• Sound research records and publications in human factors for ATCM systems, AI methods and algorithms.
• High Google Scholar h-index citation count (above 25).
• PI/Co-PI experience in projects under competitive research grants.
• Strong leadership and communication skills, and excellent problem-solving skills.

The successful applicant will typically be placed on a 1-year contract. Only shortlisted candidates will be notified.

The School of Materials Science and Engineering continue to equip researchers with the latest scientific and technological skills sets much needed by the industry, the School has evolved into a hub of excellence in its niche areas of research. As part of NTU’s College of Engineering, MSE is now recognised worldwide as a premier research institution with top universities, multinational corporations and R&D institutions as its research collaborators and funding partners.

Key Responsibilities:

• Electrochemical process on interface phenomena
• Battery testing under different conditions
• Simulation of scaled up process
• Interface with machine learning group on data base set up
• Battery safety testing

Job Requirements:

• Ph.D in chemistry/ Materials Science/physics
• Candidates with strong background in Materials chemistry/Physical chemistry
• Experience on energy storage system or electrochemical system (Batteries)
• Encourage initiating activities on battery development, devising, and analytic process
• Experience on machine learning will be preferred
• Good command of oral and written English
• Candidate with strong publication/patent records will be preferred

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (EEE) is seeking to hire a Research Assistant to work on new device concepts for cryogenic electronics in i-Lab. The successful candidate will have access to state-of-the-art cleanroom facilities and measurement equipment, as well as opportunities for interdisciplinary collaborations.

Key Responsibilities:

Support i-Lab in the areas including:

• Electromagnetic simulation of semiconductor components
• Design and modeling of nanoelectronic devices based on compound semiconductors
• Experimental studies on nanoelectronics devices at room temperature and cryogenic temperatures

Job Requirements:

• Bachelor degree in Electrical Engineering or related field
• Knowledge in electromagnetic analysis using AWR or similar software
• Knowledge in design and simulation of RF circuits
• Knowledge in experimental methodologies to characterize RF circuits and components
• Proficiency in English is essential for conducting experimental studies
• Good team working skills

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

The Air Traffic Management Research Institute (ATMRI), established in 2013 through a strategic partnership between NTU and the Civil Aviation Authority of Singapore (CAAS), is a premier institution dedicated to advancing the science and technology of air traffic management. ATMRI aims to enhance the efficiency, safety, and sustainability of the worldwide air transport system.

Key Responsibilities:

• Design and implement experiments to evaluate the usability, efficiency, and effectiveness of new air traffic control automated tools.
• Apply human factors principles and ergonomics to optimize the user interface of ATC systems for enhanced user experience and reduced error rates.
• Utilize physiological sensors (e.g., EEG, ECG, eye-tracking) to assess the workload and mental state of air traffic controllers during operations.
• Analyze physiological data to identify patterns and trends associated with high workload and fatigue.
• Collaborate with cross-functional teams, including ATC operations, software development, and quality assurance

Job Requirements:

• Master’s degree in Human Factors Engineering, Ergonomics, Industrial or Interaction Design, or a related field.
• Proven experience in human factors research, particularly in safety-critical environments such as ATC.
• Strong background in user-centered design and usability testing methods.
• Familiar with physiological monitoring technologies and data analysis techniques.
• Proficiency in experimental design and statistical analysis is crucial. Candidates should also demonstrate a solid understanding of machine learning techniques and their practical applications.
• Ability to work independently and in a team-oriented, collaborative environment.

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Natural Sciences and Science Education Academic Group.

Project Title: Enhancing the epistemic power of multimodal explanations by incorporating quantitative data collected by sensor technologies.

Project Introduction: Technological advancements, especially in smartphone sensor technologies, enhance scientific education in lower secondary schools by making abstract concepts tangible. This research investigates how these technologies foster students' conceptual and epistemic understanding through multimodal explanations. It aims to refine educational practices for integrating sensor technologies in scientific inquiry, strengthening students' ability to support explanations with quantitative data for better argumentation.

Requirements:

• Possessing a good Bachelor's degree, specialised in sciences or science education
• Qualifications or work experience in science education would be preferred
• Good communication, organisation, writing, proof-reading and research skills
• Native or near-native proficiency in English
• Proactive and able to work independently
• Be a good team player

Responsibilities:

• Conduct a literature review to support research
• Work on development of lessons and materials
• Assist and work closely with the research team and partners
• Collect, analyse and manage data
• Write/prepare research reports, publications and presentation materials independently
• Other research and project management tasks as assigned by the Principal Investigator (PI).

Application

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

Workday Job Requisition ID: R00016495

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Natural-Sciences-and-Science-Education-Academic-Group--NIE-_R00016495)

Closing Date

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

We are looking for a research fellow to work in our project on Channel modelling and signal processing for terahertz link. The project aims to develop channel models and efficient signal processing algorithms for highly miniaturized, low-cost and efficient on-chip terahertz systems based high speed medium range wireless links.

Key Responsibilities

• Conduct in-depth research on new modulation and multiple access methods for chip-to-chip terahertz wireless link.
• Propose novel system models for terahertz channel utilization and for the implementation of advanced modulation scheme for terahertz systems.
• Propose AI-based algorithms for the efficient high-rate wireless data transfer through terahertz wireless link.

Job Requirements:

• Candidate should have Ph D with sufficient research experience in the following areas: Wireless communications, Communication system design, signal processing algorithms, machine learning/AI based algorithms for communication systems.
• Good experiences in one or more of the following areas: Communication system design, wireless channel modeling, signal processing algorithms, machine learning/AI based algorithms for communication systems
• Excellent programming skills in MATLAB, C/C++, PYTHON, etc.
• Excellent analytical, technical and problem-solving skills.
• Innovative, resourceful, and self-motivated.
• A team player with good people skills.
• Strong verbal and written communication skills

The successful candidate will receive a competitive remuneration package commensurate with their qualifications and experience.

To apply, please attached a cover letter and a full CV/resume (including publication details)

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Project Officer.

Key Responsibilities:

• Build and maintain a financial database for safe and efficient data management
• Build, test and improve high-fidelity data-driven simulators for various QT tasks such as portfolio management
• Design, implement and test impactful industry-level user cases with comprehensive documents
• Write research papers/reports based on the requirements of the projects
• Organize project relevant events

Job Requirements:

• Bachelor’s degree in Computer Science or relevant discipline
• Proficient in one or more programming languages: JAVA, Python, PyTorch, GoLang, C++ etc.
• Interest in research discussions and ability to handle ambiguity in R&D tasks
• Experience in Machine Learning and full stack software development will be beneficial
• Proficiency in database will be an added advantage

We regret that only shortlisted candidates will be notified.

We are seeking Research Associate to join a university-level research centre collaborating with industry. The position is for two years, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to Image Manipulation via Diffusion Models.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A Master’s degree in Computer Science or relevant fields such as Pattern Recognition and Intelligent System;
• Have a solid foundation in the following areas: Computer Vision, Deep Learning;
• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, etc.;
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.;
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

We are looking for a highly motivated candidate to join our team as a Research Assistant.

Key Responsibilities

• Conduct research in learning to optimize.
• Collaborate with fellow researchers to design advanced algorithms and theories.
• Publish academic papers or patents.
• Guide and support associated students
• Participate in and contribute to pertinent meetings.

Job Requirements

• A Bachelor degree in Computer Science, Mathematics, Statistics, or relevant fields.
• Strong background in machine learning.
• Experience in machine learning for optimization is preferable.
• Knowledge with machine and deep learning software packages & libraries such as Torch, TensorFlow, Scikit-learn.
• Have good coding skills
• Excellent written and communication skills in English language.

We regret that only shortlisted candidates will be notified.

A Research Fellow/ Research Assistant position is currently available in the Nanyang Environment & Water Research Institute.

Key Responsibilities:

• Membrane processes modelling and optimization for chemical
• Design and operate fluidized bed crystallizers for resource recovery from wastewater sludge
• Develop, design, and optimize NF/RO processes from laboratory to pilot scale for a chemical company
• Support lab experimentation such as nanofiltration/reverse osmosis filtration, nanofiltration membrane bioreactor process
• Process optimization to validate the developed models
• Perform water analysis with advanced analytical equipment such as HPLC, GC etc
• Perform membrane fouling characterization and membrane autopsy
• Prepare research paper, progress report and presentations
• Supports the development of resource recovery methodology from wastewater sludge

Job Requirements:

• Bachelor degree (for Research Assistant) or PhD degree (for Research Fellow) from a reputable university in chemical/environmental engineering
• Relevant research experience in membrane process design and optimization
• Experience in fluidized bed design and operation
• Relevant research/hands-on experience in membrane experiments
• Experience with Phyton/Matlab
• Oral presentation skill and multitasking skill
• Self-motivated and able to work on your own and in a team
• Good interpersonal skills
• Good communication and writing in English is essential for data analysis
• Strong responsibility for research

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

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Fellow.

Key Responsibilities:

• Responsible for the research on filler surface engineering, sample preparation, characterization, and testing
• Analyzing the data and correlate materials’ properties with the interface characteristics
• Collaborating with other team members to ensure overall progress,
• Assisting the principal investigators in industry coordination, reporting, and other research matters

Job Requirements:

• Possess a PhD degree in Materials Science and Engineering, Chemical Engineering, or other relevant fields
• Experience with composite materials, characterization, and mechanical behavior study will be an advantage
• Relevant publication record
• Independent working and critical thinking
• Good communication and inter-personal skills
• Excellent teamwork ability

We regret that only shortlisted candidates will be notified.