Total 2,238 Others level Science / R&D / Research job vacancies

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.

Job Descriptions:

Lead the team and ensure the service standards are upheld

Ensure smooth day-to-day operation of the production

Obtain sales target given by the management

Promote positive work environment

Support team to reach common goals

Inspect storage areas for organization and cleanliness

Assist the manager to monitor the production and train the staff

Requirements:

Proven experience as supervisor or relevant role.

Excellent communication and interpersonal skills

Familiarity with company policies and legal guidelines of the field

Can start working with short notice

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects,and all clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599

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%29/32493-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.

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-%28Construction-Robotics%29/32520-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking to recruit a Research Fellow (RF) to participate in innovative general research focused on robotics and automation within the construction and built environment. 

The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building Information Modeling (BIM). Key responsibilities include designing the software architecture, applying advanced robotics techniques to support project objectives, collaborating closely with multidisciplinary teams, and leading groups of student interns. In addition to project-specific research tasks, the Research Fellow will be expected to handle administrative and operational matters related to the Centre for Construction Robotics & Automation (CCRA). 

Job Requirements

•    At least a PhD in Mechanical Engineering with a specialization in Robotics, or related field from a reputable university.
•    Evidence of strong publication record in top academic journals.
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks.
•    Prior Civil Engineering/Built Environment related experience, practices and workflows will be an added advantage.  
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required.
•    Strong written and oral communication skills.
•    Open to fixed-term contract.

Job Description:

Can plan the menu.

Oversee and manage the efficient running and profitability of the kitchen.

Take record of the kitchen store.

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

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

Can do all kinds of the western food.

Job Requirements:

At least 8 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Experienced in western's dishes.

Responsibilities:

1. Provide facial treatments such as eyebrow tattoo

2. Use beauty instruments to provide facial treatments to do the customers

2. Promote and sell products, services and packages according to clients’ needs

3. Maintain cleanliness and observe proper hygiene.

4. Follow up client’s attitude towards treatment

Requirement：

1. At least 2 years relevant beautician experience

2. Long time standing may be required during the working hour

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/Senior-Research-Fellow-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32500-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public
Health invites applications for a Senior Research Fellow to help lead a vibrant, internationally
connected research programme spanning Bayesian infectious disease modelling, AI-driven
epidemic forecasting, genomic epidemiology, and pandemic preparedness. The postholder will
work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme)
and engage an active network of collaborators spanning CERM, NUS, Imperial College London,
Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National
Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH),
and wider regional and global partners.
This is a senior scientific role with significant autonomy. The successful candidate is expected to
drive independent research streams, provide intellectual leadership across multiple concurrent
grants, and mentor junior researchers. The portfolio spans methodological innovation and applied
public health impact, including real-time surveillance platforms, lineage transmissibility models, AIpowered
decision-support tools, and equitable AI for Public Health in Asian settings.

Key Responsibilities
• Lead and independently execute high-impact research across one or more of the group's
active programmes: Bayesian genomic-epidemiological modelling, AI for epidemic
forecasting, and arbovirus genomic surveillance.
• Design novel statistical and computational methodologies and publish them in leading
journals and present at international conferences.
• Provide scientific leadership and day-to-day mentorship to Research Fellows, Research
Associates, and Research Assistants.
• Take a leading role in grant writing, progress reporting, and engagement with funding
agencies and public health partners.
• Represent the group at national and international conferences; build and sustain
collaborative networks.
• Contribute to curriculum and teaching support for relevant graduate courses at SSHSPH.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational biology, epidemiology, computer science, or a
closely related discipline.
• Minimum of two years of postdoctoral experience.
• Demonstrable expertise in Bayesian inference and probabilistic modelling; experience with
Stan, PyMC, NumPyro, Turing, or equivalent PPLs.
• Strong track record of publications in peer-reviewed journals commensurate with career stage.
• Proficiency in Python and/or R; familiarity with high-performance and cloud computing environments.
• Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting.
• Demonstrated ability to supervise junior researchers and contribute substantively to grant applications.
• Excellent written and oral communication skills; ability to engage clinical, public health, and policy audiences.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

Review of applications begins immediately and continues until the position is filled. The anticipated start date is flexible by negotiation.

Job Description:

Lead the team and ensure the service standards are upheld

Ensure smooth day-to-day operation of the production

Obtain sales target given by the management

Promote positive work environment

Support team to reach common goals

Inspect storage areas for organization and cleanliness

Assist the manager to monitor the production and train the staff

Requirements:

Proven experience as supervisor or relevant role.

Excellent communication and interpersonal skills

Familiarity with company policies and legal guidelines of the field

Can start working with short notice

Job Description:

Responsible for coffee making, selling and table clearing.

Responsible for opening & closing of (Point of Sales) System and summarize daily sales record, payouts, tally cash collection, etc.

Maintain outlet inventory and replenish when needed.

Keep the workplace cleaning and hygiene

Training the new employee, and keep the teamwork running well.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.