Total 3,037 Science / R&D / Research job vacancies in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

Senior Analyst, Actuarial

Job Summary:

This is an individual contributor role where the Senior Analyst will report to the Director and be responsible for actuarial modelling & analysis to ensure accurate & timely IFRS17 financial reporting as well as maximize value for the company. The Senior Analyst will collaborate with other sections within the Singapore team, Regional/Corporate Office/HuBS colleagues as well as work directly with the Chief Actuary. The role allows for maximum exposure to other team leaders within the Singapore actuarial team and across business functions, as well as providing excellent career development opportunities for strong candidates. This is a unique opportunity to help the Singapore business grow its presence within the High-Net-Worth market space while managing its business profitability and risk levels. We offer a competitive benefit package and actuarial exam support.

Key Responsibilities:

• Production of IFRS17 actuarial reserve, LICAT capital calculations and other management reporting deliverables for a business line to be submitted to Regional/Corporate Office during quarter close
• Conduct robust analysis into the Drivers of Earnings of the business pre and during quarter close, including collaborations with ALM, Finance, Investment and Regional/Corporate teams
• Quantifying and analyzing sensitivities of the business to identify any potential vulnerabilities, as well as collaborating with ALM, Finance, Investment and Regional/Corporate teams to implement mitigating strategies
• Building out a robust process and implementation of LICAT capital calculations, while collaborating with a Regional/Corporate Office/HuBS colleagues
• Collaborate with centralized modeling team to maintain and enhance existing and new actuarial valuation models, as well as help in implementing new product initiatives
• Collaborate with other employees to build and enhance processes to ensure efficient workflows and a strong control environment
• Conduct any ad-hoc risk quantification & analysis and contribute to mitigation strategies and alternatives.
• Additional duties as may be required from time to time by Senior Management.

Job Requirements

• Minimum of 5 years of experience in Life Insurance industry
• Actuarial exam progression with a recognized international actuarial body
• Experience with IFRS17 is preferred
• Experience with any valuation and reserve/capital framework is required
• Experience and proficiency in Microsoft Office is required
• Strong technical skills and problem-solving ability, able to work in a dynamic environment
• Strong cross team collaboration skills
• Experience with Moody’s AXIS, Pathwise, Prophet or an alternative actuarial modelling software is preferred

We offer attractive salary, group life and group medical insurance; and excellent career development opportunities to the right candidate.

We are an equal opportunity employer and welcome applications from all qualified candidates. Application forms and resume will be kept for a period of 24 months after completion of the recruitment process. (All information will be held in strict confidence and only be used for recruitment purpose).

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 National University of Singapore invites applications for a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. He/She should possess experience in security, formal method, and crypotography.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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 project aims to realize ferromagnetic twistronic devices for high frequency control of magnetic, electronic, and optical properties. The job will involve fabrication of ultraclean samples in controlled environment, and their characterization using magnetic, optical, and electrical methods.

Job Requirements

The job requires experience in realizing scientific projects based on fabrication and characterization of functional devices. Solid foundation of laboratory work and performing work in a highly collaborative environment is necessary. The candidate needs to exhibit excellent organization skills and ability to efficiently progress with research objectives. This needs to be based on independent, critical thinking and problem solving skills.

Position title: Product Development and Management Executive (Cosmetic)

Working location: Pasir Panjang

Working Days: 5 days work

Working hours : 9am - 6pm
Salary Range: $3500 to $4200

Responsibilities:

1. New product planning:

• Analyse industrial trends, market data and customer insights to derive constructive ideas and information for the purpose of NPD.
• Define product competitive positioning and unique selling proposition (USP).

2. New product development (NPD):

• Responsible for entire NPD process; from concept initiation to completion, for both new product and reformulations.
• Take the lead in close collaboration with cross functional teams such as Regulatory, Marketing, Supply chain, Contract manufacturers, R&D and Quality, for seamless on-time delivery of products.
• Source for contract manufacturers and liaise with formulators to develop new product; be the main contact point with these suppliers for NPD/ formulation discussions.
• Review formulas and ingredient/ design statements for new product that is compliant with regulations.
• Familiar with the concept of product challenge test, stability, and compatibility studies.
• Research market prices, create accurate product costing data and propose product pricing.

3. New product introduction:

• Conduct product training to regional trainer/marketing team and key leaders of salesforce.

4. Post-launch product management:

• Analyse product performance and identify actions required.
• Manage product feedback and propose technically sound customer-centric reply.
• React to necessary corrective and preventive actions (CAPA) raised by Quality.

5. Contribute for and implement standard procedures (in compliance with industrial standards and QMS requirements) for any product development and management activities or as assigned.

Requirements:

• Degree in Cosmetic Science or Chemistry.
• Minimum 2 years of experience in product development/ management in the cosmetic and skin care industry.
• Bonus if candidates have prior experience with beauty/personal care/medical device.

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Senior Research Fellow
An appointment as a Senior Research Fellow may be offered to an applicant who has a PhD degree in law and a minimum 3 years’ post-doctoral research experience.
.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to lawresearchappt@nus.edu.sg by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

• The duties described are for the full-performance level. At developmental grade levels, assignments will be of more limited scope, performed with less independence and limited complexity.
• The duties may include, but are not limited to:
• Plans, organizes, and conducts direct control operations to reduce wildlife damage within a geographical area or technical/subject area.
• Inspects and surveys areas and, as necessary, will revise existing WDM programs.
• Determines strategies and logistics for providing services.
• Uses WDM tools/devices which may include some or all of the following depending on need in assigned area: firearms; foothold, body-grip, cage traps; foot snares; neck snares; chemical control methods.
• Utilizes knowledge of WDM methods and strategies to independently recommend appropriate WDM strategies.
• Identifies current, and forecasts future, damage problems and relates them to the damage-causing species.
• Modifies or adapts established damage control techniques as necessary to meet local conditions.
• Assists in the negotiation of cooperative service agreements with landowners, lessees, or administrators.

What do you do in your role?

- Do in-person presentations for B2B (business-to-business) meetings.

- Connect with business owners, negotiate deals, and team up to reach more customers.

- Help clients boost their brand visibility and grab a bigger slice of the market.

- Share clear info about our products or services with potential customers.

- Drive growth by expanding our B2B offerings and improving what we do.

- Keep an eye on market trends, customer preferences, and what competitors are up to.

- Take care of current leads and manage those accounts.

- Scout for new leads and work to turn them into new customers.

So, what makes you a good fit?

- Great at talking to people and building relationships with customers.

- Self-driven and good with basic project management, able to work solo or as part of a fast-moving team.

- Can research market trends easily.

- No experience? No problem—everyone's welcome to apply! We’ll provide product training.

- Must be adaptable and comfortable handling uncertain situations.

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to prabhakars@gis.a-star.edu.sg, shvetha_sankaran@gis.a-star.edu.sg

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills.

The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

We are seeking candidates for the position of Research Officer for the Circular Bioeconomy team, part of the Biotransformation Group at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). The Circular Bioeconomy team performs Research & Development in biotechnological approaches to waste valorisation, alternative protein and carbon-reduction. The mission is to provide biotechnological solutions for achieving Singapore?s ambitious goals of Zero Waste, Food Security and Net Zero emissions.

Job Description:

• Perform laboratory experiments for Circular Bioeconomy projects, such as microbial isolation, flask fermentation, bioreactor fermentation and analysis using assays, analysers, chromatography and quantitative PCR.
• Plan experimental work in close collaboration with supervisor. More experienced candidates will have greater independence in planning, executing and trouble-shooting their own work.
• Analyse, organise and summarise experimental results for reporting to supervisor. More experienced candidates will have greater freedom in interpreting, evaluating and reporting results to stakeholders.
• Maintain laboratory and equipment in good and productive order, such as purchasing consumables, organising and tidying lab, maintaining equipment and writing SOPs.
• Uphold high safety and integrity standards, complying with all HSEP (Health, Safety and Environmental Protection) rules and regulations, as well as SIFBI internal rules.

Job Requirements:

• Bachelor's degree in food science or Life Sciences, such as Biotechnology.
• Previous work or internship experience with laboratory work is preferable.
• Experience and preference for hands-on experimental work in a laboratory.
• Experience with microbiological and aseptic techniques. Experience with fermentation and bioreactors is advantageous.
• Experience with analytical techniques such as biochemical assays, spectroscopy and chromatography. Experience with PCR techniques is advantageous.
• Experience with software tools such as MS Office, Teams, MatLab, MiniTab, and various proprietary scientific soft wares such as for biotechnological and analytical equipment.
• The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, and has excellent communication and teamwork skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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.