Responsibilities:

• Assist in formulation and new product development by carrying out lab trials and evaluating product performance.
• Participate in production trials and process validation of personal care and cosmetic products.
• Liaise with suppliers for raw materials sourcing for new projects or improve the current formulation.
• Keep updated with current cosmetic and skincare trends, consumer insights, and competitive product strategies.
• Ensure product development compliance with ISO 22716, Halal, ASEAN Cosmetic Directive (ACD), and statutory and company requirements.
• Conduct product stability, packaging compatibility, efficacy testing, and accurate trending of results.
• Manage and maintain all documents and records to ensure the laboratory is in a state of readiness for testing support.
• Participate actively in validation methods for analytical testing of new and existing products.
• Resolution of technical issues that arise during the development, production, operation, or performance-based.
• Participate in corrective and preventive actions on customer complaints by ensuring details are recorded and monitored and investigate products that fail compliance standards.
• Ensure adequate chemical inventories and lab consumables.
• Maintain workplace safety and cleanliness.

Requirements:

• Degree in Chemistry or equivalent, specializing in personal care and cosmetic products.
• Minimum 2 years of working experience/background in the personal care and cosmetic manufacturing industry is preferred.
• Knowledge of personal care production and processing will be an added advantage.
• Understand how to develop formulation & functions of raw material.
• Good communication and interpersonal skills.
• Strong analytical skills and ability to resolve complex problems in a timely and effective manner.
• Strong sense of responsibility.
• Able to work independently and as a team.
• Proficient in Microsoft Office (Word, Excel, and PowerPoint).

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications and able to present results.
• Open to fixed-term contract.

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

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.

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

The Research Associate will work on a funded interdisciplinary grant at the intersection of graph data management, cognitive psychology, and data visualization to support the University’s research in data science. The project seeks to develop a novel data-driven framework for user-friendly visualization of property graph schemas that is informed by theories from cognitive psychology. The successful candidate will be responsible for developing it.

Key Responsibilities:

• Plan and develop effective abstraction and algorithms for visualisation of property graph schema.
• Assist in development of user-friendly and interactive interface for visualisation of property graphs.
• Liaise with various stakeholders.
• Contribute to the production of research reports.
• Contribute to the dissemination of research findings.
• Perform other tasks as required by the Principal Investigators.

Job Requirements:

• Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Strong analytical and programming skills.
• Strong background in algorithms and data management.
• Experience using programming language such as JavaScript, TypeScript and Python
• Excellent organizational skills and able to work within given deadlines.
• Self-directed learner who effectively picks up relevant skills as needed.
• 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.
• 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.

Do you have the expertise to ignite curiosity in young minds?

Step into a dynamic teaching role where your Science knowledge becomes a gateway to discovery!

First Konnection – The Authorized Education Recruitment Specialist for this Role

• Streamlined Process: Focus on showcasing your talents while we handle the rest.
• Direct Communication: Stay informed and guided at every stage.
• Personalized Advice: Position your strengths effectively with our expertise.

Job Description & Responsibilities:

• Conduct engaging Science lessons (Physics and Chemistry) tailored to Secondary-level students.
• Prepare lesson materials, worksheets, and experiments to deepen understanding.
• Evaluate student progress through assessments and provide constructive feedback.
• Contribute to the continuous improvement of the Science curriculum.
• Foster a stimulating and inclusive learning environment.

Job Requirements:

• Degree in Science or a related field, specializing in Physics and/or Chemistry.
• At least 1-2 years of teaching experience in Singapore’s Secondary Science curriculum.
• Ability to communicate complex concepts effectively and engagingly.
• Strong classroom management skills and a student-centered approach.
• Energetic, adaptable, and dedicated to inspiring a love for Science.
• Availability for weekends and the following teaching schedule:
• Wed-Thu: 3:30 PM – 10:00 PM
  Fri: 2:00 PM – 10:00 PM
  Sat: 9:00 AM – 8:30 PM
  Sun: 9:00 AM – 6:30 PM

Bring Science to life and inspire young learners to explore the wonders of the universe.

Apply today to make an impact that lasts a lifetime!

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Job Title : Senior Executive, Research Grant Administration

Job Type : Temp 6 months

Work Location : West side, Singapore

Skills Required : Research, Content Management & Reporting

Job Responsibilities:

Research Grant Administration:

• Provides effective administration of research grant call applications and management of awarded grants
• Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

Communication of Research Information

• Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.
• Develops content for the school’s website for research grants, projects and achievements.
• Develops Research-related publications (Research Brochures /Pamphlets)
• Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

Monitoring Research Budgets and Assets

• Monitor budgets and expenditures relating to research grants
• Monitor deadlines for the submission of expenditure reports as well as progress and final reports

Job Requirements:

• Bachelor's degree from a recognised university
• Proven administrative skills including the ability to handle data with accuracy.
• Excellent reporting with some finance working knowledge would be essential.
• Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.
• Sound interpersonal, communication and analytical skills.
• Strong organisational and problem-solving skills.
• Competency in Microsoft Office applications (Excel, PowerPoint, word).
• Ability to do content management and creation of information on research (Website, social media and newsletters)
• Positive attitude with a strong desire to learn new skillsets.

Salary: Up to $3500

Work hours: Mon-fri

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.” All Curriculum Vitaes will be treated with the strictest confidentiality.

RMA Consultants Pte Ltd

EA License No 93C4403

EA Regn No R1433182

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

Responsibilities:

• Conduct both quantitative and qualitative (e.g., focus group moderation) research to understand social trends and public opinion
• Oversee research projects from inception to delivery, and coordinate research activities (e.g., project management, data analysis, design questionnaires and discussion guides, respondent recruitment, managing respondents) amongst cross-functional teams to ensure timely and impactful insights
• Assist with managing client queries, expectations and relationships
• Manage accounts and contribute to sale pitch to potential clients
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients across working levels
• Assist teammates in administrative tasks and operations, when required
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor (in Social Sciences / Mathematics / Business / Engineering / numerical fields)
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Strong qualitative and data analytical skills required
• Able to work with ambiguity and perform under pressure
• Strong quantitative and data analytical skills required
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS (must), R, STATA etc. is preferred
• Prior experience from Market Research industry will be an advantage

Interested candidates, do submit your resume in MSWord to [email protected] or contact 62251232

Location: Bendemeer

Mon-Fri office hours

Data Analyst,Science German MNC

Reports to Business Analytics Manager

Budget : S$4000 - $4500

Hybrid working arrangement

• Can choose to go office or work from home
• To attend occasional meetings held in office

To support Global offices

• If there’re night calls (depending on which region candidate is supporting), he/she may start the next day later -give/take
• 10% travelling per year (usually 1-2 times a year for company event / work related matter – subject to business needs)
• Min Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Computer Science, Mathematics, or Information Management.
• 2 years relevant working experience.

Main tasks

• Maintain timely deliverable and accuracy of all critical business reporting and dashboards.
• Collaborate with the different business departments to understand analytical needs and translate them into data requirements with clearly defined data metrics and definitions.
• Coordinate and work with analytics team to optimize the data flow and automate various data sources.
• Day-to-day interaction with dashboard, CRM, and other database on data investigation to track performance of specific business needs.
• Create value for RMS APAC by translating all the data insights to help in making informed marketing, sales, and business strategies.
• Work with local and global analytics teams to drive digital transformation, training, and adoption of solutions.
• Work closely with management to prioritize and do insights generation using data mining and other data manipulation skills.
• Lead ad hoc projects to optimize processes and/or improve the quality of the database.

How to Apply: Please send your resume to:

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.