Total 1,081 Science / R&D / Research job vacancies in tuas south

Job Purpose

Provide strong technical expertise and leadership in Process Development of project transfer and start-up. Responsible for areas of the Frontend processes. Work closely with team to ensure successful implementation of project. Lead and/or support the team for new product transfer I development, equipment design, processes optimization and qualifications efforts. To ensure compliance to ISO/FDA, cGMPs, HSE regulatory requirements.

Accountabilities

• To lead process development aspects of project implementation to deliver results within projected timeline, excellent execution and documentation.

• To lead user requirement specification (URS) development for processes equipment and liaise with vendors on technical discussion.

• To lead design reviews for processes equipment and work with global/ R&D team to develop and transfer the technology to site.

• To develop and execute equipment and processes validation approach / plan.

• To lead and execute new equipment and processes installation, optimization, commissioning, qualification and validation.

• To proactively communicate project progress, key issues and any other critical topics in a timely manner to the appropriate management level and vendors.

• To ensure compliance to cGMPs, IS013485 / FDA, HSE, and policy requirements.

Requirements

• Education: Minimum Diploma in Engineering (Mechanical, Electrical, Automation) or relevant discipline or equivalent.
• Experience: 8-15 years working experience in contact lens or optical device manufacturing or similar environment.
• Good understanding of processes automation system, vision inspection system, robotics and GMP/GDP requirement.
• Good analytical and troubleshooting skill with systemic approach.
• Good leadership and management skills.

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

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

The laboratory of Pan Guangming at the School of Physical and Mathematical Sciences is seeking a Research Fellow to contribute to a project focused on large random matrices and machine learning.

Key Responsibilities:

Conducting research in one or more of the following fields:

• Large random matrices
• Machine Learning

Job Requirements:

• PhD degree in statistics or related areas.
• Experience in random matrices or machine learning
• Strong written and verbal communication skills in English is essential to conduct research
• Strong publication record

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

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

Full-time Salary: SGD 4,500 - SGD 6,500

Part-time Hourly Rate: Starting from SGD 20 per hour

Job responsibilities mainly include but are not limited to the following:

Research Directions: Strategic design, value innovation, strategic execution; products, talent, users; marketing, performance, finance.

1. Approx. 40% Enterprise Case Studies: Collecting, coding, analyzing data, conducting research on target case enterprises, interviewing corporate executives, writing case study reports. Reports include but not limited to literature reviews, information or data on case enterprises per module, summarized methodologies and tools, and corresponding knowledge points.
2. Approx. 40% Teaching Assistance: Includes course development and design, educational tools and materials preparation.
3. Approx.10% Coordination: Assisting in liaising and coordinating with international scholars, and Fortune 500 company management team’ interviews and speeches.
4. Approx.5% Operations Assistance: Includes organizing forums, conferences, and seminars.
5. Approx. 5% Necessary Administrative Assistance: Includes budgeting and communication, etc.

Essential Requirements:

1. Degree in Management/Business, familiar with operational management, management science, data science, etc.
2. Excellent written skills in English or Chinese, with publications in business/management papers, blogs, articles, or other forms of media.
3. Able to independently conduct qualitative research (case analysis, interviews, content analysis) and quantitative research.
4. Skilled in data analysis and financial statement analysis.
5. Proficient in PowerPoint, Word, Excel, and other office software.
6. Part-time candidates must be able to work more than 24 hours per week.

Preferred Qualifications:

1. Familiar with business school case teaching or;
2. Individuals with business and management work experience, especially those with over three years of experience in Fortune 500 companies;
3. Familiar with big data analysis, quantitative research methods including data collection, cleaning, and analysis. Experience using quantitative analysis software like Stata, SAS, R, and Python. Knowledge of machine learning (supervised, unsupervised, and reinforcement) and web scraping. Familiarity with Wind database is a plus.
4. Postgraduate degree or above.
5. Singaporean or Malaysian citizens.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

The Research Fellow will conduct research on cutting-edge large language models (LLMs) and the application on education. This role involves leading research efforts, developing innovative algorithms, managing large datasets, and ensuring the system's accuracy and fairness. The researcher will collaborate with interdisciplinary teams, publish findings, and integrate the scoring system into educational platforms.

Key Responsibilities:

• Conduct the research on LLMs and lead the application of LLMs in an educational system.
• Conduct literature reviews to stay updated on the latest advancements in natural language processing (NLP), AI, and automated essay scoring.
• Develop innovative algorithms and models to handle the specific characteristics of Chinese text, including syntax, semantics, and idiomatic expressions.
• Implement and fine-tune LLMs to accurately assess various aspects of essay quality, such as grammar, coherence, argument strength, and style.
• Data Collection and Annotation: Collaborate with educational institutions to collect large datasets of Chinese essays.
• Oversee the annotation process to ensure high-quality, consistent labeling of essay features relevant to scoring.
• Develop and maintain a robust database for managing essay datasets and annotations.
• Dissemination and Collaboration: Publish research findings in leading academic journals and present at conferences and workshops.
• Collaborate with interdisciplinary teams, to enhance the research and its applications.

Job Requirements:

• A PhD in AI, NLP, or a related field.
• Strong background in natural language processing and machine learning, with specific experience in working with large language models.
• Proficiency in Chinese language as required for research work.
• Strong programming skills, with proficiency in Python and relevant machine learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent communication and teamwork skills, with the ability to collaborate effectively with interdisciplinary teams.

We regret that only shortlisted candidates will be notified.

Nanyang Technological University’s Digital Trust Centre (DTC) is looking for a Principal Research Engineer to research, design, develop, implement, and oversee techniques and systems platform related to Trust Technologies, which mainly cover three main areas: (i) privacy preserving AI, (ii) digital identity and decentralization, and (iii) AI safety. Privacy preserving technologies involved include homomorphic encryption, multi-party computation, searchable encryption, data synthesis and differential privacy, and federated learning. Decentralization technologies covered include blockchain, digital identity, distributed ledger, trust execution environment, and verifiable computing. AI safety technologies covered include AI model testing, evaluation and benchmarking, risks in generative AI contents, Large Language Model, and NLP.

The role will focus on emerging technologies that engender trust and espouse its values in digital technologies.

Key Responsibilities:

• Conduct research into trust technologies testing – translating research algorithms, and design/develop tools and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.
• Work closely with Centre’s researchers to design and develop system implementation work from research into product.
• Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, help to educate and raise the overall competency of Singapore manpower in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.
• Responsible for the system and architecture design of trust solutions for digital transformation in addition to their engineering and implementation.

Job Requirements:

• The candidate should possess a Masters’ degree in computer science, software engineering, information theory or relevant field.
• With a minimum of 15 industrial and academic years of experience in software engineering and system development.
• Understand the emerging trends of IT technologies, in particular those related to privacy preserving and AI safety.
• Good communication skill.
• Self-motivated, and could deliver under tight schedule.

We regret 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: Master’s Degree in Data Science, Psychology, Education, Social Sciences or related field. Candidates with a PhD may be considered for a Research Fellow position instead.
• 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
  Familiarity with primary mathematics education
  Proactive, eager to learn and perform
  Good self-management skills for task structure and management to achieve given goals and objectives
  Experience/interest in Artificial Intelligence in Education is highly preferred
  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.
• Any other duties as assigned by the Principal Investigator

Application

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

Workday Job Requisition ID: 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.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Collaborate with other researchers (including PhD students and research staff) to conduct research on the structure-property relationship of additively manufactured (AM) alloys.
• Perform crystal plasticity modeling of the constitutive behavior of AM alloys
• Conduct modelling of fracture resistance of AM alloys.
• Develop machine learning models for high-throughput evaluation of mechanical properties.
• Deliver project millstones timely and present the work on internal and external conferences.
• Publish research results in reputable international journals.

Job Requirements

• PhD degree in solid mechanics, mechanics of materials, or related fields.
• Rich experience in theoretical and computational mechanics.
• In-depth knowledge in additive manufacturing.
• Good communication and writing in English as required in research work
• Strong responsibility for research work.
• Good publication record.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Scientist to conduct research with the PI for the project titled “Urban Sustainability”.

Key Responsibilities:

• Carry out research at the Corp Lab at NTU
• Investigate new theory, models and algorithms in the areas of digital twin, smart city, geometric modeling, 3D vision, AI and deep learning.
• Develop and implement algorithms and prototype tools for 3D reality reconstruction, generation, interaction, etc, which may involve Point cloud, 3D mesh, neural implicit representation, RGB-D, etc
• Help advise junior research staffs and students
• Contribute to technical community via conference and journal papers, TDs, patents, and software tools.

Job Requirements:

• Possess a PhD degree in mathematics, computer science, engineering or related disciplines.
• Experience in geometric modeling, computational geometry, shape parsing and reconstruction, AI, deep learning and their applications
• Strong programming skills in C/C++ or Python
• Good interpersonal skills.
• Self-driven and strong responsibility for research / work.

We regret that only shortlisted candidates will be notified.

The Centre for Advanced Robotics Technology Innovation (CARTIN) are seeking a highly skilled and motivated Autonomous Robotics Software Engineer to join our team.

Key Responsibilities:

• Develop and maintain software for autonomous sweeping vehicles.
• Conduct field testing trials to validate software performance and reliability.
• Provide software and computer support, including setting up and troubleshooting computer-related matters.
• Develop software tools, sensors, actuator drivers for testing safety-critical modules and sensors in robotic systems.
• Assist in integrating custom modules into complex software stacks.
• Work with Subject Matter Experts (SMEs) to carry out software acceptance testing, including unit, functional, and load testing, and organize test result records.
• Manage and deploy software commits for field testing, ensuring timely updates and maintenance.

Job Requirements:

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field. A Master’s degree is preferred.
• 2–6 years of experience in C++/ROS development.
• Hands-on experience in robotics and mechatronics.
• Experience with deploying ROS in real-world environments.
• Familiar with robotic sensor and actuator hardware such as LiDAR.
• Strong problem-solving skills and the ability to work in a multi-disciplinary team.
• Experience in developing software for cleaning systems or similar applications.
• Familiarity with robotics technologies.
• Knowledge of machine learning applications in robotics.
• Experience with software development life cycles, including design, implementation, deployment, and maintenance.

We regret that only shortlisted candidates will be notified.

Job Purpose

Provide strong technical expertise and leadership in Process Development of project transfer and start-up. Responsible for areas of the Frontend processes. Work closely with team to ensure successful implementation of project. Lead and/or support the team for new product transfer I development, equipment design, processes optimization and qualifications efforts. To ensure compliance to ISO/FDA, cGMPs, HSE regulatory requirements.

Accountabilities

• To lead process development aspects of project implementation to deliver results within projected timeline, excellent execution and documentation.

• To lead user requirement specification (URS) development for processes equipment and liaise with vendors on technical discussion.

• To lead design reviews for processes equipment and work with global/ R&D team to develop and transfer the technology to site.

• To develop and execute equipment and processes validation approach / plan.

• To lead and execute new equipment and processes installation, optimization, commissioning, qualification and validation.

• To proactively communicate project progress, key issues and any other critical topics in a timely manner to the appropriate management level and vendors.

• To ensure compliance to cGMPs, IS013485 / FDA, HSE, and policy requirements.

Requirements

• Education: Minimum Diploma in Engineering (Mechanical, Electrical, Automation) or relevant discipline or equivalent.
• Experience: 8-15 years working experience in contact lens or optical device manufacturing or similar environment.
• Good understanding of processes automation system, vision inspection system, robotics and GMP/GDP requirement.
• Good analytical and troubleshooting skill with systemic approach.
• Good leadership and management skills.

Job Description & Requirements

• Develop and maintain standard operating procedures (SOPs) for the RND department.
• Create and update manuals, work instructions, and training materials.
• Ensure that all documentation complies with regulatory requirements and pharmaceutical standards.
• Collaborate with various teams to gather information and update documentation as needed.
• Organize and maintain electronic and physical documentation systems for easy access and retrieval.
• Review and edit documentation for accuracy, consistency, and clarity.
• Assist in training staff on proper documentation procedures and requirements.
• Identify opportunities for continuous improvement in the documentation process.

Qualifications:

• Major in a related field such as pharmaceutical science, life science, or a related discipline to prepare for a successful career in the pharmaceutical industry.
• Basic pharmaceutical manufacturing process and GMP knowledge are required
• Proven experience in a documentation role, preferably in a manufacturing environment.
• Strong writing and editing skills with excellent attention to detail.
• Knowledge of document management systems and tools.
• Ability to work collaboratively with cross-functional teams.
• Familiarity with regulatory requirements and standards applicable to the pharmaceutical industry.
• Strong organizational and time-management skills

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

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

Key Responsibilities:

• To conduct research on the development of GaN-based materials growth and device processing.
• Develop regrowth fabrication process using highly doped GaN structure to reduce the Ohmic contact resistance, preferably having worked in clean room process environment
• Support in the growth of GaN epistructures using MBE/MOCVD growth process technology.
• Electrical, structural, surface and optical characterization of III-Nitride semiconductor epiwafers
• Thorough analysis of the results and publish in high impact factor scientific journals.
• Independent handling of the project to meet the deliverables timely.
• Writing project proposal and technical reports to the funding agencies.
• Support PhD students and junior research staff in their research projects.

Job Requirements:

• PhD in Physics, Materials Science, Electrical and Electronic Engineering or related field
• Hands-on experience with III-Nitride semiconductor heterostructure growth and characterization, and preferably device processing in cleanroom and characterization tools.
• Self-driven and motivated person who is a good team player.
• Ability to adapt to changing priorities
• Fluent in English and competent in technical writing skills.

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering is seeking to hire a talented and experienced Research Fellow (RF). The RF will lead and contribute to the synthesis of novel nanomaterials, conduct comprehensive characterization to understand their properties and, together with collaborators, aid in the implementation of the nanomaterials in strong light-matter coupling photonic structures, aimed at achieving reliable single-photon sources. The RF will work closely with the other members of the team working on this activity, and with our partners and external collaborators in France and in Singapore. The RF will also be involved in the writing of progress reports and publications for this project. The RF will work on a research project on the development of strong light-matter coupling photonic structures.

Key Responsibilities

• Develop and optimize protocols for synthesizing a variety of nanomaterials, including nanoplatelets and quantum dots with high quantum yield.
• Utilize advanced techniques such as TEM, SEM, AFM, photoluminescence and time-resolved photoluminescence to characterize the structural, optical, and electronic properties of synthesized nanomaterials.
• Conduct literature reviews to stay current with advancements in nanomaterial synthesis and their application in photonic structures.
• Analyze data to derive insights into material properties and performance.
• Aid in the analysis of the strong light-matter coupling photonic

Job Requirements

• Ph.D. degree in Chemistry or Materials Science and Engineering or related disciplines from top universities.
• Experienced in the synthesis and purification of nanomaterials such as quantum dots and nanoplatelets.
• Experienced in the optical characterization of nanomaterials such as quantum dots and nanoplatelets with techniques such as photoluminescence, TEM, SEM, XRD, and AFM.
• Proven experience in the synthesis of nanomaterials.
• Good verbal and written communication skills and good proficiency in English as required to publish research.
• Independent and can work well with a team.
• Excellent communication, teamwork, and collaborative abilities.
• Self-Motivated and takes initiative.
• Publication track record is an advantage.
• Strong analytical and problem-solving skills.
• Demonstrated ability to publish in high-impact scientific journals.

We regret that only shortlisted candidates will be notified.

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for a talented Research Fellow to support the leadership of a new research study funded by a Ministry of Education Social Sciences and Humanities Research (SSHR) Fellowship to A/Prof Victoria Leong on “The digital future of human learning: Social optimisation of digital media for early learning”. This project aims to develop socially-intelligent digital technology to support interactive learning in infants and young children, using dyadic-EEG techniques to monitor brain learning states during social interaction (see Leong et al, 2017 PNAS; Wass et al, 2020 TICS). The Research Fellow will join a dynamic and friendly international research team which operates in Singapore and in Cambridge (UK), although the data collection for this study will be conducted entirely in Singapore.

Key Responsibilities

• Assist the Principal Investigator (PI) with day-to-day management of the SSHR project, working in close coordination with the other staff and students on the team.
• Lead data collection efforts for the main experimental studies involving over 100 parent-infant dyads.
• Lead data analysis and research publication in one or more of these core domains: dyadic EEG+ECG, eye-tracking, motion tracking, speech analysis, social interaction analysis, digital media programming, computational modelling.
• Provide strong administrative oversight to ensure timely scientific and financial reporting to the funder, compliance with data protection and ethical regulations, etc.
• Provide pro-active and effective trouble-shooting for any problems that arise
• Supervise research students.

Job Requirements

• A PhD in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related Technical and Computational fields
• Strong technical and analytical skills, as demonstrated in relevant research publications
• Experience with human psychological data collection and study design
• Experience in project management and research administration is preferred
• Experience in working with children (particularly infants) and families is preferred
• Experience with EEG and other forms of neuroimaging data collection and analysis is preferred
• Experience with computational modelling and advanced statistical analysis is preferred
• Experience with measurement and analysis of human social interactions is preferred
• Experience with digital media programming is preferred
• Efficient, organised and self-motivated with the ability to work to tight deadlines
• A good team player with strong interpersonal and communication skills.

We regret that only shortlisted candidates will be notified.

As an R&D Electrical Engineer, you will play a pivotal role in the development of cutting-edge machine tool products and technologies for CNC Milling, including peripheral equipment and automation.

Your responsibilities include:

• Proactively develop and validate new, unique electrical engineering designs.
• Contribute to enhancing the electrical design of various products.
• Assist in electrical designs under the guidance of R&D Senior Engineers.
• Study electrical customization requirements and propose effective solutions.
• Prepare accurate engineering documents such as electrical/circuit drawings, Bill of Material, Engineering Change Order, and engineering reports.
• Work towards achieving R&D development goals that align with business needs.
• Provide engineering support and innovative solutions to relevant departments (manufacturing, customer service, sales, application, etc).
• Contribute actively to improving Makino’s technical core competency through continuous learning and creative problem-solving.

To excel in this role, you should have the following qualifications:

• Master’s or Bachelor’s degree in Electrical and/or Electronics Engineering.
• Solid knowledge of electrical design principles.
• Familiarity with software tools such as EPLAN, Solidworks, E3, and AutoCAD.
• Basic understanding of PLC programming.
• Attention to detail and time consciousness in your work.
• Strong team player, quick learner, and possess strong communication skills to collaborate seamlessly with cross-functional teams.

KEY JOB PURPOSE

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team aims to expedite the novel light-weight and flexible perovskite solar cells for low-weight applications such as portable and wearable devices, BIPV and IoT.

KEY RESPONSIBILITIES

As a Research Engineer specializing in flexible perovskite solar cells, your responsibilities will revolve around conducting research, development, and optimization of this emerging technology. Here are some key job scopes for this position:

· Optimize deposition techniques, such as solution processing, vacuum deposition, or printing methods, to achieve uniform and high-quality perovskite thin films on flexible substrates.

· Investigate new materials, device architectures, and manufacturing methods to improve the overall performance and reliability of flexible perovskite solar cells.

· Investigate encapsulation strategies and barrier materials to protect flexible perovskite solar cells from degradation.

· Design and execute experiments to fabricate and characterize flexible perovskite solar cells.

· Conduct accelerated aging tests and reliability studies to evaluate long-term stability and durability of the devices.

· Scale up procedures from lab-scale to manufacturing scale.

· Conceptualize and realize new device configurations with enhanced stability and efficiency

· Report writing and results presentation

· Regular maintaining of research and study records, conceptualize, execute and interpret scientific experiments

· Work closely with internal colleagues in Singapore and China to work in company target.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

· Master, PhD in Materials Science, Chemistry or related fields with in-depth knowledge of materials (especially perovskites), device physics and processing.

· Deep understanding of all kind of perovskite materials and interface engineering. Experience in flexible perovskite solar cells and low-temperature process/deposition is a plus.

· Expertise in device making and materials characterizations.

· Good skills in time management, experiment design and data analysis.

· Good communication and interpersonal skills.

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant. The successful applicant will be responsible for the development of algorithms for building systems for data management.

Key Responsibilities:

• Designing and developing scalable algorithms for processing data of large scale.
• Writing research papers of high quality based on research results
• Building deployable systems based on the research results.

Job Requirements:

• Bachelor’s degree in Computer Science/Engineering or related disciplines.
• Proficient in Python and C/C++ programming.
• Experience in machine learning and deep learning method.
• Excellent background in algorithms and database systems
• Excellent background and research experience in data mining algorithms, data management, machine learning, and probabilistic models.
• Experience in machine learning and deep learning method.
• Excellent verbal and written communication and interpersonal skills.
• Strong sense of responsibility and work with minimal supervision.
• Ability to be flexible and adapt to new situations in a rapidly changing research environment.

We regret that only shortlisted candidates will be notified.

We are an equal-opportunity employer and value diversity among our teachers, staff and students.

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders.

We are an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

One World International School is committed to safeguarding and promoting the welfare of the children. We are committed to recruiting candidates who share this commitment to safeguarding. Before an offer is given, candidates will undergo child protection screening and will be required to provide a Police Verification Check from their country of residence.

Overall Responsibilities:

• To teach and educate students according to guidelines provided by the school’s curricular programmes - PYP, Secondary, IGCSE and IB Diploma.
• To teach and educate students according to the educational needs, abilities and attainment potential of individual students entrusted to his/her care by the Head of School.
• To promote the attributes and attitude of the IB Learner Profile and the school values.

Includes the below but not limited to:

• Teach across the whole age range, including PYP, Secondary, IGCSE and IB Diploma.
• Design, prepare and deliver lessons to teach knowledge, techniques, support and enhance each learner’s understanding.
• Collaborate with colleagues to ensure that every learners' individual needs are catered for through differentiated planning, learning engagements and assessment opportunities.
• Assess and monitor the progress of learners and set goals for improvement, including writing students reports and attending parents meetings.
• Lead or be involved in extracurricular activities, school events, assemblies, staff trainings, meetings, etc.
• Promote the health, safety and wellbeing of all students

Requirements:

• Minimum two (2) years or more relevant full-time teaching experience as a qualified teacher.
• Candidates must at least possess a Bachelor's degree and a Professional Degree in Teaching / Teaching qualification certificates (PGDE, PGCE, PGCEi, NIE Diploma) / Valid Teacher Licence / QTS.
• Strong knowledge and experience of teaching for Secondary, IGCSE and IB level preferred.
• Experience in an international school environment (preferred).
• A passionate educator with the ability to deliver student-centred, inquiry based learning.

Working Location: Jurong West (Nanyang Campus)

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project, led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, the Environmental Health Institute, National Environment Agency, Singapore and the French National Centre for Scientific Research. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of environment, climate change and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors leading to increased burden of environmental infectious diseases across large spatial scales.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institution

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

The CyberSG R&D Programme Office (CRPO) is a new national centre at Nanyang Technological University, Singapore. CRPO will focus its efforts on three main thrusts to advance cybersecurity comprehensively: cutting-edge research and development, advancements in technology and translational development, and fostering ecosystem/industry growth and training.

CRPO aspires to propel Singapore to the forefront of cybersecurity innovation and implementation, fueled by funding from the Cybersecurity Agency of Singapore (CSA). This financial backing empowers CRPO to finance visionary projects proposed by diverse entities, including research institutes (RIs), institutions of higher learning (IHLs), and industries. The scope of these initiatives spans the entire Technology Readiness Level (TRL) spectrum, from nascent concepts at TRL 1 to advanced, field-tested solutions at TRL 9, all within the dynamic realm of cybersecurity.

CRPO is seeking to hire a strategic Senior Project Manager to provide strategic leadership and support for all aspects of CRPO’s Cyber Security Consortium. We are looking for a change agent to be part of the team to develop, track and manage research talent pool and pipeline in collaboration with research institutions (RIs), Institutes of Higher Learning (IHLs) and industry to support the demand for cybersecurity research talents.

Key Responsibilities:

• Collaborate with research institutions, Institutes of Higher Learning (IHLs), and industry partners to understand current and future demands for cybersecurity research talents.
• Develop and implement strategies to identify, attract, and recruit top talents in cybersecurity research.
• Establish and maintain relationships with past scholars to foster partnerships and facilitate knowledge exchange of current and future demands for cybersecurity research talents.
• Establish and maintain relationships with key stakeholders to foster partnerships and facilitate knowledge exchange current and future demands for cybersecurity research talents.
• Track and manage the talent pipeline, ensuring a steady supply of qualified candidates.
• Provide guidance and support to research talent, including mentoring and professional development opportunities.
• Stay updated on industry trends and best practices in cybersecurity research talent management.
• Provide guidance and assistance in translation management where necessary.

Job Requirements:

• Diploma / Bachelors' Degree, or other relevant qualification in lieu of the qualifications
• At least 14 years of relevant working experience and qualifications for Diploma holders, or at least 12 years for Bachelor Degree holders.
• Experiences in planning and execution of large scale projects will have an advantage.
• Possess leadership qualities and strong interpersonal skills with the ability to work with different groups of stakeholders.
• Experience in international communications with potential industries
• Excellent written and oral communication skills

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

Job Description

-Operate precision CNC turning/milling machine

-Perform CAD/CAM programming

-Simple setting up of work piece and tooling set up

-Perform machine maintenance

-Engage in process checks

-Ensure work procedures conforms to ISO & AS standards

-Account for productivity to Account Holder(s)

-Other ad-hoc duties assigned

-Prepare setup work instruction and tool list for production use

Requirement

-Preferably 3 to 5 years experience in setting up and operating CNC milling / Turning centre.

-Good communication skills and able to work as a team

-Understanding of tooling criteria, machining applications and process documentation

Min ITE Technical Certificate, preferably in Precision Metal Machining

R&T Recruitment Management (12C5922)

2 Gambas Cres, #06-22 NORDCOM 2, Singapore 757044

6702 6282

Lee Kong Chian School of Medicine invites applications for:

Research Assistant in the Laboratory of Dr. Luo Dahai

(profile page: https://dr.ntu.edu.sg/cris/rp/rp00464)

We are currently recruiting a Research Assistant who will join the laboratory of Molecular Mechanisms of Viral Infection & Host Defense Laboratory at Lee Kong Chian School of Medicine (LKCMedicine), Nanyang Technological University (NTU).

Responsibilities:

• Work with the PI and team members to perform experiments, document results, and analyse data.
• Assist purchasing of equipment, materials and consumables and provide general supports for the lab.
• Keep track of cell lines, plasmids and other reagents and materials in the lab.

Skills and qualifications:

• Candidates should have a Bachelor’s degree or equivalent in any relevant fields of cell biology, biochemistry, virology or structural biology.
• Previous research experience or laboratory training in molecular cellular biology is desired but not essential.
• Self-motivated and well-organized with good communication and technical skills.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

Application Procedure:
Please contact the PI directly via email [email protected] with your cover letter, CV and names / contact details of two references. Only shortlisted candidates will be notified.
The position is immediately available.
Location: EMB building, NTU main campus
Closing date: until the position is filled.