Total 2,233 Others level Science / R&D / Research job vacancies

Job Description

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).     
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.        
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.        
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.        
• Mentor junior engineers in the standardization process and technical writing.

Job Requirements

• MS or PhD in Electrical Engineering, Communication Engineering or related field.        
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.        
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).       
• Strong experience in submitting and defending proposals in international standardization bodies.        
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Comparative-Effectiveness-and-Real-World-Data-Analytics%29/32515-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Associate (Comparative Effectiveness and Real-World Data Analytics)

Position Summary
The Centre for Health Intervention and Policy Evaluation Research (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire a researcher with a relevant Master’s degree to lead Phase III of the RODEO project, focusing on comparative analyses using oncology real-world data. The candidate will be responsible for designing and conducting comparative effectiveness studies across multiple myeloma, non-small cell lung cancer, and ovarian cancer using structured and processed unstructured data from electronic medical records.

The role is particularly suited to candidates with training in biostatistics, epidemiology, health services research, health economics, public health, data science, or a related field, and who have experience working with observational healthcare datasets.

Key Responsibilities:
• Lead the design and execution of comparative effectiveness analyses using real-world oncology data
• Develop study protocols and statistical analysis plans for observational cohort analyses
• Apply appropriate methods to address confounding, selection bias, missing data, and other threats to internal validity in real-world studies
• Conduct analyses using methods such as propensity score matching, inverse probability weighting, direct covariate adjustment, difference-in-differences, instrumental variables, and survival analysis
• Perform time-to-event analyses, including overall survival and progression-related outcomes
• Support partitioned survival analyses and other methods relevant to economic evaluation and health technology assessment
• Work closely with clinicians, health economists, and data scientists to identify clinically relevant treatment comparisons and confounders
• Collaborate with data engineers and analysts to ensure appropriate variable construction and dataset readiness
• Interpret findings in the context of health technology assessment, reimbursement, and policy decision-making
• Prepare technical reports, presentations, manuscripts, and conference abstracts
• Ensure analyses adhere to methodological standards such as STROBE and ISPOR good practice recommendations for real-world evidence studies
• Participate in project meetings with collaborators across NUS, NCIS, NUH, TTSH, NCCS, and other partner institutions

Requirements:
• Experience working with large observational healthcare datasets, registries, or electronic medical records
• Strong knowledge of causal inference and comparative effectiveness methods
• Experience using statistical software such as R, Stata, SAS, or Python
• Familiarity with oncology data, survival analysis, and longitudinal data analysis will be an advantage
• Understanding of health technology assessment, outcomes research, or economic evaluation is desirable
• Strong written and verbal communication skills
• Ability to work independently while collaborating effectively in a multidisciplinary research team

Preferred Attributes:
• Prior experience with real-world evidence generation in oncology
• Familiarity with OMOP common data model, OHDSI tools, or TRUST platform datasets
• Experience translating statistical findings into policy-relevant insights for clinicians, hospital leaders, or HTA agencies
• Interest in contributing to publications and future grant applications

Qualifications

• Master’s degree in Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, Statistics, Health Services Research, or a related discipline

Roles & Responsibilities

• Preparing sales quotations, invoices, and work orders
• Inspection documents
• Data keying
• Accounts Receivable
• Answering and responding to sales phone calls
• Organising operational activities
• Tabulate monthly sales report
• Participating in meetings and take meeting minutes
• Ordering of office supplies
• Administrative duties: photocopying, scanning, printing, and filing of documents
• All other duties are required by the Company

Job Description:

• Greet and assist customers
• Respond to customer inquiries and complaints
• Direct and supervise employees engaged in sales, taking inventory, reconciling cash receipts, or in performing services for customers
• Monitor sales activities to ensure that customers receive satisfactory service and quality goods
• Inventory stock and reorder when necessary
• Collaborate with internal teams to ensure smooth order processing,delivery,and after-sales support.

Requirements：

• Proven experience in sales within the curtain and textile fields.
• Strong interpersonal and communication skills to effectively engage with clients.
• Knowledge of curtains,fabrics and relevant products will be a distinct advantage.
• Familiar with market trends and competitive landscape in the curtains and textile sector.
• Excellent negotiation and presentation skills.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Design and integrate databases with user interfaces and dashboards within cloud computing environments.

• To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery.

• To develop interactive dashboards and user interfaces to visualize model outputs, data insights.

• Collaborated with research teams in continuously improving system performance through experimentation and AI model training and finetuning.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers, develop research proposals and attract additional external fundings when appropriate.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an experienced Software Development Engineer to design and build end-to-end full-stack applications, encompassing intuitive frontend user interfaces and scalable backend services. This role involves developing responsive, user-friendly UI components using modern frameworks such as React or Vue, alongside building robust backend APIs and services (REST/GraphQL) to support application logic and data processing.

You will integrate AI/ML capabilities, including large language model (LLM) APIs and other inference services, into production-ready systems, while architecting efficient data pipelines for ingestion, transformation, and storage to enable AI-driven features. The role requires optimizing performance, scalability, and reliability across the full stack, and working closely with R&D, product, and design teams to translate concepts into functional, user-facing solutions. You will operate in a fast-paced R&D environment, rapidly prototyping and iterating while maintaining high engineering standards, and contributing to architectural decisions and team mentorship.

Key Responsibilities

· Design and develop end-to-end full-stack applications, including frontend interfaces and backend services

· Build responsive, high-performance UIs using modern frameworks (e.g., React, Vue)

· Develop and maintain scalable backend systems and APIs (REST/GraphQL)

· Integrate and operationalize AI/ML capabilities (e.g., LLM APIs, inference services) into production systems

· Architect and implement data pipelines for AI-driven applications

· Ensure performance, scalability, and reliability across frontend and backend systems

· Collaborate with cross-functional teams to deliver user-facing features

· Rapidly prototype and iterate on new ideas in an R&D environment

· Implement state management, caching, and asynchronous workflows for real-time interactions

· Design and manage cloud-based infrastructure (AWS)

· Apply best practices in code quality, testing, CI/CD, and system monitoring

· Monitor, debug, and optimize production systems (logging, observability, performance tuning)

· Ensure security and data privacy in system design

· Mentor junior engineers and contribute to technical leadership

Qualifications

Must-Have Qualifications

· Master’s degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in full-stack software development

· Strong frontend expertise (React, Vue, or similar) and solid backend development skills (Python, Node.js, Java, or equivalent)

· Proven experience designing and building scalable APIs and systems, with strong fundamentals in system architecture and software design

· Hands-on experience integrating AI/ML services (e.g., LLM or inference APIs) into production applications

· Experience with cloud platforms (AWS) and modern development practices (version control, testing, CI/CD)

· Demonstrated experience building scalable summarization/information extraction pipelines and production-grade anomaly detection or predictive models on numerical/time-series data

· Familiarity with Agile/Scrum methodologies and rigorous validation of ML/GenAI systems (evaluation metrics, bias/risk assessment)

· Strong problem-solving skills, ability to work independently, and effective cross-functional communication

· Fluency in English, including technical communication

Strongly Preferred

· Experience building AI-powered applications involving LLMs, generative AI, or real-time inference systems

· Familiarity with ML workflows, model evaluation, and performance optimization

· Experience developing data-rich, interactive UIs (dashboards, visualizations, graphics-heavy applications)

· Hands-on experience with cloud-native architectures and containerization (Docker, Kubernetes)

· Experience with asynchronous processing, streaming systems, or real-time data pipelines

· Background in R&D or fast-paced product environments with rapid prototyping cycles

· Exposure to MLOps practices, monitoring, and observability tools

· Experience mentoring engineers or contributing to technical leadership

· Experience with Model Context Protocol (MCP) for standardized, secure integration between LLM systems and external data sources, tools, or enterprise services.

The Research Fellow will participate in independent and collaborative research with a focus on DNA repair with an aim to advance translational research in breast cancer. You will be part of a dynamic, multidisciplinary environment comprising data scientists, laboratory researchers, and clinician scientists, which aim to advance translational research in breast cancer. You will also be responsible for overseeing wet-laboratory experiments, developing and optimizing data analysis workflows, mentoring junior researchers, and supporting research on patient derived models and mechanistic studies on breast cancer.

The responsibilities will include:

1) Research Contribution and Impact:

- Lead and supervise research projects relating to DNA repair, ecDNA, novel therapeutic targets and biomarkers in breast cancers.

- Carefully maintain and expand patient-derived breast model biobank.

- Evaluate and apply appropriate bioinformatics/statistical techniques, as well as develop and implement novel approaches to answer research questions.

- Prepare high quality visualizations, reports, and presentations for internal reviews, collaborations, and publications.

- Contribute to manuscript writing and presentation of research outcomes at internal and external conferences.

2) Mentorship and Supervision:

- Supervise Research Officers, PhD students and interns in conjunction with the PI.

- Communicate effectively with PI and team to troubleshoot protocols and workflow.

- Foster a collaborative and supportive work environment to contribute positively to team goals and outcomes.

3) Grantsmanship:

- Apply for independent grant funding.

- Assist with PI’s key research grant applications and reports throughout the year.

Requirements:

- Doctor of Philosophy (PhD) in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or a related field.

- Demonstrated experience with basic and advanced lab techniques, including both cell and molecular biology techniques.

- Demonstrated experience with animal work.

- Familiarity with basic bioinformatics workflows.

- Good understanding of statistical methods used in biomedical research and profiling analysis.

- Excellent communication skills and ability to work in cross‑disciplinary teams.

- Proven ability to work independently and lead research initiatives.

- Experience developing or validating predictive models for clinical or translational research.

- Fluent in both written and spoken English.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• The candidate will conduct research on automatically analyzing Android applications and summarizing systems logs.
• Responsible for designing and implementing graphical user interfaces for various systems in this project, including the system for analyzing Android applications, the system for monitoring Android application executions, the website showcasing various project outputs, etc.
• Assist in developing the corresponding Android applications.
• Design, implement, and evaluate the user interfaces of various system components.
• Modify and improve existing systems that perform analysis on Android applications.
• Other duties as assigned.

• Minimum Bachelor's degree in computer science, information technology, information systems, or closely related disciplines.
• Masters degree is a plus.
• Good communication skills in English.
• Past research experience in computer security and software engineering is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Applicants with research publications in security area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Maritime-Safety-and-Data-Analytics-%29/32512-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The project will be engaging a Research Fellow to undertake advanced research on AIS-driven multi-vessel interaction analysis, with a particular focus on estimating navigational capacity in restricted and congested waterways (e.g., port approaches, straits, and narrow channels). Leveraging large-scale Automatic Identification System (AIS) datasets, the study will systematically extract vessel trajectories, characterize interaction patterns among heterogeneous vessel types, and identify critical factors influencing traffic flow efficiency and safety. It will further integrate multi-source data, including high-resolution meteorological and oceanographic information (e.g., wind, waves, currents, and visibility), to capture the impact of environmental conditions on vessel behavior and waterway capacity. Advanced data processing pipelines will be developed to handle massive, noisy, and heterogeneous datasets, ensuring data quality, scalability, and computational efficiency.

The selected RF will be required to collaborate closely with project team members on a range of activities:
(1) Large AIS data process
(2) AIS data based maritime safety assessment 
(3) Capacity estimation for the restricted waters
(4) Preparation of technical reports and slides
(5) Engagement with stakeholders through meetings and discussions.

Job Requirements

• Possess a PhD in Maritime Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
• Experience in developing AIS data-driven models.
• Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
• Excellent interpersonal and communication skills.
• Values teamwork and display great leadership. Able to self-manage and self- motivated, with minimum supervision. 
• Open to fixed-term contract.
      
Prioritized Requirements:
• AIS Data mining and analysis, machine learning skills.
• Research experience on maritime risk assessment and big AIS data processing.
• Good publication record in international leading journals.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Traffic-safety-and-data-analytics%29/32494-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A few Research Fellows (RFs) will be engaged in a research project to develop a robust, data-driven, and AI-powered framework for evaluating the impact of vehicle speed management policies, with a particular focus on age-related vulnerability. The proposed approach will explicitly account for the age profiles of road users, multiple vehicle types (e.g., passenger cars, trucks, and buses), as well as roadway and environmental conditions.The project aims not only to deepen the understanding of how age and vehicle speed jointly influence crash frequency and injury severity, but also to deliver practical tools to support the design of inclusive and adaptive speed management policies for an ageing population. In addition to utilizing road crash data, the project will also collect and incorporate driving simulator data to support model development and validation.

The selected RF will be required to collaborate closely with project team members on a range of activities:

•    Traffic safety related data collection such as large-scale driving simulator experiments
•    AI-based traffic safety modelling and analysis, 
•    preparation of technical reports and slides, 
•    engagement with stakeholders through meetings and discussions.

Job Requirements

•    Possess a PhD in Traffic Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
•    Experience in developing driving simulator-based models.
•    Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
•    Excellent interpersonal and communication skills.
•    Good teamwork and leadership, self-manage and motivated, with minimum supervision. 
•    Open to fixed-term contract.
    
Prioritized Requirements:

• driving simulator-based model development, machine learning skills.
• Research experience on traffic safety and driving simulator usage.
• Good publication record in international leading journals.

Responsibilities:

Supervise employees to help ensure efficiency and productivity.

Able to handle seafood, such as fish.. Process raw ingredients, chopping and slicing of fish, etc.

Able to work in cold room temperature.

Ensure work safety, hygiene are followed. Products manufactured comply with food safety standards.

Handle sales at the market, supervise the sales staffs to do daliy sales.

Able to work night shift.

Requirements:

Have relevant experience in food processing is required.

Candidates are required to handle heavy products.

Physically fit.

The ability to foster teamwork

Responsibilities:

Drive the cold truck lorry to deliver the frozen pork production to customers on time.

Assist the manager to schedule the timetable and assign the line to the drivers.

Supervise and manage the drivers team.

Maintain the vehicles and keep driving safe.

Night shift and long time work is required.

Load and upload the goods.

Requirements:

Singapore Class 3/4 Driving License is required. Having a Class 4 license is an advantage.

Familiar with Singapore route.

Physically fit.

Responsibilities：

Competent to handle the meat processing of pork carcasses

Process raw meat, deboning, chopping and slicing of pork, etc.

Able to work with no or little supervision.

Able to work in cold room temperature.

Ensure required workplace safety and hygiene standards are followed. Ensure deboned pork comply with food safety standards.

Requirements:

Relevant experience in meat processing is required.

Candidates are required to handle heavy pork carcasses and pork parts.

Physically fit.

The ability to foster teamwork as deboning is part of team.

Job Description & Requirements

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes when required.