Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

About Ipsos

Ipsos is among the world’s largest global research companies. Our ambition is to make market research one of the primary means to understand contemporary society and economy. To make Ipsos a partner for those who wish to make better understand the world and play an active part in it, with lasting success. We invite those who are naturally curious and have a passion for understanding human behavior to join us as we work with some of the best global brands and talents.

RESPONSIBILITIES

• Assist in compiling and editing comprehensive research reports, utilizing data tools and modelling techniques on ongoing projects
• Collaborate with senior researchers to design and implement research studies
• Assist with project management – understanding job costings and tracking of costs spend throughout the project.
• Assist senior researchers with drafting of business proposals, reports and presentation decks

REQUIREMENTS

• Be able to work at least 6 months, preferably full-time.
• Have or currently pursuing an undergraduate or graduate degree in Marketing, Economics or a related field.
• Has a keen eye for details and good organization skills.
• Proficiency in Microsoft Office Suite, particularly Excel

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 highly motivated and skilled candidate to join our research team working on a cutting-edge project focused on the structural application of 3D concrete printing. The selected candidate will contribute to advancing the field of construction through research and development in the area of 3D printed concrete structures.

Key Responsibilities:

• Conduct structural analysis of precast concrete elements using advanced numerical simulations.
• Perform experimental research on the structural properties of 3D printed concrete materials and structures in alignment with Singapore Standards.
• Develop new design guides for the structural application of 3D printed concrete.
• Collaborate with the principal investigator to mentor junior researchers and students.
• Attend meetings with the grantor to present progress updates and prepare detailed technical reports.
• Write and publish technical papers based on research findings.

Job Requirements

• Possess a PhD degree in Civil Engineering.
• Has relevant experience with advanced numerical simulations for structural analysis.
• Good knowledge of local standards for construction materials and structural design.
• Strong experimental research skills and experience in working with concrete materials.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Prior experience in mentoring or supervising junior researchers or students is preferred.
• Ability to prepare and deliver progress reports and technical publications.
• Open to fixed-term contract

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

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

The successful applicant will be involved in a multidisciplinary and collaborative research study on the built environment and mental well-being. He/She will investigate how the urban environment, such as neighbourhood design, heat stress and noise pollution, can influence the positive and negative aspects of mental well-being in families. The candidate will also be involved in longitudinal cohort studies and collaborations with clinicians and researchers from a wide range of disciplines.

1. Data management and analysis of data
2. Combine a thorough examination of the literature with study results to answer scientific questions and hypothesis
3. Assist with preparation of scientific publications, data reports, grants and presentations
4. Perform measurements, collection of data and samples as well as field and experimental work
5. Assist with other administrative duties

Job requirements

• Degree in Biomedical Sciences, Bioinformatics, Architecture, Statistics, Geography, Real Estate, Urban Planning or a closely related field
• No experience required or applicants with relevant project experience are welcome
• Highly self-motivated with excellent communication and writing skills.
• Proficient in Microsoft Office and statistical program.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Previous experience with geospatial analysis, managing and analyzing data sets and/or in bioinformatics will be preferred.

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.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $4K

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Benefits Summary

• Public Healthcare Industry
• Basic Up $8000 + AWS + VB
• Full Time Attractive Benefits Remuneration
• Queenstown
• Monday to Friday Office Hour

Responsibilities

1) Subject Recruitment and follow up

• Be involved in subject recruitment, scheduling and data entry.
• Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
• Obtain consent taking, administer study questionnaires and follow-up on study participants.
• Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
• Able to work on tight timelines, set sensible targets and achieve research deliverables.
• Conduct research study activities like patient recruitment, data collection and data management.

Requirements

• Hold a Master’s or Bachelor’s degree in Science/ Public Health/ Social Science; Preferably with some experience in research
• Able to adapt in a fast-paced environment, with a strong focus to meet research deliverables and targets.
• Strong interpersonal and communication skills.
• Leadership and accountability to tasks is very desirable.
• Independent and mature. Able to work independently, as well as in a team.
• Meticulous, well-organized and able to multi-task.
• Ability to work in an interdisciplinary environment with different groups of stakeholders.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA).

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Interested candidates kindly click the APPLY NOW.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified. **

Chanel Loh Su Fui

Registration Number: R22110419

EA License No: 06C2859 (MCI Career Services Pte Ltd)

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
• Python web frameworks (e.g. FastAPI)
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
• Python web frameworks (e.g. FastAPI)
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

Job Description

· Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Structural assessment of the test models as well as other support to be used in the experimental setup.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models’ behaviour and response by use of appropriate sensors like load cells or custom strain gauges.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

· Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Structural response and health monitoring of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

· Any other duties as assigned by supervisor.

Job Requirements

· Bachelor’s/ Master’s Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

· Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

- Programming codes such as Python, MATLAB, or equivalent.

· Model experiments in wave flumes, wave tank or ocean basin.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

Responsible for changing AIA’s analytics landscape by delivering best-in-class advanced data science solutions to drive business growth, improve efficiencies and reduce costs.

Roles and Responsibilities:

· Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements.

· Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.

· Implement machine learning models into production systems through proper MLOps practices and collaborating with relevant stakeholders.

· Develop processes and tools to monitor & analyse model performance, incorporate Responsible & Explainable AI for both traditional and Generative AI and implement improvements as needed.

· Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best practices for coding, modelling, and analysis within the team.

· Drive analytics innovation by keeping abreast of industry’s trends, evaluating, and adapting new and improved data science approaches for the business.

· Develop in depth understanding of the business and be able to advise the business on the technical solutioning by participating in business discussions and presentations as applicable.

Financial and Non-Financial Measures:

· Quality and Timeliness of completion of deliverables

· Effective stakeholder management

· Achieve planned benefits realisation

· Effective problem solving through self or through collaboration with teams

Communication Requirements

· Able to communicate to all levels in the organisation.

· Able to communicate complex model results in a simplified, comprehensible, and convincing manner for non-technical stakeholder audiences through Data & Business Storytelling skills.

Minimum Job Requirements:

· Bachelor’s degree ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Economics, Statistics, Applied Math, Data Science, or another related quantitative field is preferred.

· Approximately 4-6 years of relevant hands-on experience in analytics/data science.

· Experience in Python for data analysis, visualization, and insight generation.

· Experience handling large datasets using advanced SQL/Spark based Big-Data technologies. Knowledge of Databricks is a plus.

· Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint.

· Knowledge of advanced statistical inferencing concepts (Distributions, Regressions, Hypothesis Testing, ANOVA, PCA, Factor Analysis, Feature Selection etc.) and experience with their appropriate applications.

· Knowledge of a variety of machine learning methods (GLMs, Clustering, Decision Trees, Ensemble Models, Time Series etc.) and their real-world advantages/drawbacks.

· Experience in maintaining Machine Learning production systems and MLOps.

· Understanding and experience in implementation of LLM based RAG applications will be a plus.

· Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.

· Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.

· Project management skills and ability to manage multiple priorities.

· Strong sense of urgency, accountability, and ownership to drive business outcomes.

· Passionate about working with numbers.

· A drive to learn and master new technologies and techniques.

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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to Support research in exploring mechanistic interpretability of vision-language models. Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. This research aims to study the processing of visual tokens in the language model component of VLM. The role will focus on analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.

Key Responsibilities:

• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Bachelor’s / Master’s degree in computer science or related field
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Conduct research and analyzing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

​

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

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc

We are looking for a Research Engineer to develop, implement, and oversee techniques and systems in Trust Technology and related areas such as privacy, security and blockchain, which are important components of digital trust platforms. The role will focus on emerging technologies that engenders trust and espouse the values of fairness, safety, and privacy in digital technologies.

Key Responsibilities:

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

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in Python; experience with Java, C/C++, Go, and PyTorch/TensorFlow is a plus.
• Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting with experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Familiarity with version control systems (Git) and collaborative development tools.
• Experience in developing and deploying machine learning models, especially in NLP and LLMs, including tasks like data preprocessing, feature extraction, and model training/evaluation. Strong knowledge of machine learning, deep learning (e.g., knowledge graphs, AI testing, machine unlearning).
• Experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) with strong understanding of software engineering principles and best practices as well as attention to ethical considerations in AI, including data privacy and security.
• Ability to communicate technical concepts to both technical and non-technical stakeholders, with strong analytical, problem-solving, and collaborative skills
• Self-motivated, able to work independently in a fast-paced environment.

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

ABOUT RYSENSE LTD

RySense is a research organisation where the primary areas of interest include social trends and public opinion. Using robust approaches, we seek to generate reliable insights about the Singapore landscape which reflect both subtle nuances and macro perspectives. You can refer to RySense’s corporate website (www.RySense.sg) to discover more about us – and to find out how you can be part of this exciting journey!

JOB SUMMARY

We’re looking for candidates with strong quantitative background, and ability to think out of the box. You will work to develop new methods of data collection using various software including Python, and other data related tools. At the same time, you will be involved in scripting, sampling and data processing of research studies assigned to you at intervals.

KEY RESPONSIBILITIES

You will be part of a bigger team involved in the following:

• Design and manage data tools
• Development of new data collection methods
• Improve existing design of survey interfaces
• Scripting of survey questionnaires with logic implementation
• Studying of surveying software and development of new scripts
• Processing of research data using software with syntaxes and codes
• Design quantitative sampling based on client requirements
• Monitor quantitative fieldwork and adhering to project schedules/ deadlines
• Perform coding of open-ended (free text response) answers where required
• Quality check and audit survey implementation to ensure accuracy of results
• Create highly actionable and digestible reports in PowerPoint

REQUIREMENTS

• Bachelor’s degree in Mathematics, Engineering, Business, Science, Computing, or any numerical fields (Fresh Graduates are welcome to apply)
• Strong appetite for learning new data tools
• Openness to change and innovation
• Familiarity with Python desired
• Basic competency in SPSS, R, data visualization tools preferred
• Knowledge in any survey software an added advantage
• Able to work with ambiguity and perform under pressure
• High levels of precision at work

If you would like the opportunity to work as part of us, please email your resume to us at [email protected].

We regret that only shortlisted candidates will be notified.

Novena

Immediate till 31 August 2025

5 days work week across Monday to Sunday

Up to 44 hours per week (8.30am - 6pm / 12.30pm - 9.30pm)

• Support Project Manager in attaining holistic objectives of the assigned surveys.

• Lead a team of Survey Officers to achieve service levels for assigned surveys within timeline.

• Ensuring the team attains their daily Key Performance Indicators (KPIs).

• To be the subject matter expert for assigned surveys.

• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues if needed.

• Ensure survey data are accurately keyed into the system via audits.

• Handle escalations/complaints cases via service recovery calls.

• Assist Quality Service Manager in escalations/complaints via incident reporting, findings, and future

preventive measures.

• Conduct field visits with junior team members for survey collection.

• Conduct call audits to ensure compliance to call scripts, professionalism, and service excellence.

• Continuous improvement in standards and quality of the team via coaching efforts.

• Goals setting and conducting year-end appraisals.

Requirements:

• Minimum Diploma or equivalent.

• Equipped with work experience in survey operations, sales, or customer service role.

• Possessed at least 2-3 years’ experience in supervisory position.

• Those without the academic qualifications will be considered with relevant work experience.

• Applicants with call center background, direct sales and customer fronting will be advantageous.

• Able to handle escalations and complaints proficiently to de-escalate these cases.

• Proficient in Microsoft Excel, PowerPoint, Word. and internet usage.

• Able to communicate effectively with internal and external stakeholders.

• Selected applicants are required to complete a training course and passed the assessment test before

being deployed to operations.

• Only Singaporeans may apply.

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://sg.go.persolkelly.com/job/apply/10247

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary /Secondary

Subject: English

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Singapore Math & Science Oriented Tuition Teacher

( Citizen / PR / LTVP )

Occupation

Job Description & Requirements

Singapore Math & Science Oriented Tuition Teacher

Qualifications:

• Education: Bachelor’s degree in Education, or a relevant subject area. Higher qualifications or certifications in teaching are a plus.
• Experience: Previous teaching or tutoring experience is preferred. Experience with the Singapore Secondary and/or Primary Math or Science curriculum is an advantage.
• Skills: Strong communication and interpersonal skills, ability to explain complex concepts in a clear and understandable manner, and excellent organizational skills.
• Attributes: Patient, empathetic, and dedicated to student success. A proactive approach to problem-solving and a commitment to continuous professional development.
• Language: Proficiency in English is required.
• References: Prior work experience references would be an added advantage

Working Hours:

• 5 Days Work Week (2 weekend, 3 weekday)
• Teaching Hours – Weekday 3:30PM to 9:30PM | Weekend 9am to 6pm

Or

• 5.5 Days Work Week (1 weekend, 4.5 weekdays)
• Teaching Hours - Weekday 3.30pm - 9.30pm | Weekend 9am - 6pm

Location: Tampines/ Bishan

Salary Range: $3,200 - $4,300

Job Summary:

We are seeking a dedicated and passionate Tuition Teacher to join our client’s dynamic team in Singapore. The ideal candidate will have a strong academic background and a genuine interest in helping students achieve their educational goals. As a Tuition Teacher, you will be responsible for delivering high-quality, personalized instruction to students in various subjects and grade levels, fostering a positive learning environment, and providing ongoing support to ensure academic success.

Key Responsibilities:

• Conduct Individual and Group Lessons: Deliver engaging and effective lessons to students in specific subjects, tailored to their academic needs and learning styles.
• Develop Customized Learning Plans: Create and implement individualized lesson plans and study materials to address each student’s strengths and areas for improvement.
• Assess Student Progress: Regularly evaluate and monitor student performance through assessments, tests, and feedback, and adjust teaching strategies as needed.
• Provide Support and Guidance: Offer academic support and mentorship to students, including help with homework, exam preparation, and developing effective study habits.
• Maintain Communication with Parents: Keep parents informed about their child's progress, discuss any concerns, and provide recommendations for further improvement.
• Stay Updated on Curriculum Changes: Keep abreast of the latest educational trends, curriculum changes, and best practices in teaching.
• Create a Positive Learning Environment: Foster a supportive and motivating atmosphere that encourages student engagement and enthusiasm for learning.

Benefits:

• Competitive salary based on qualifications and experience.
• Yearly increment and bonus based on personal and company performance

Interested please send resume to whatsapp + 65 86537112

Only the candidate who's in shortlist will get notification

Job Choices Solution Pte. Ltd

EA No. 24C2254

Ang Hock Ann R24122146

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary /Secondary

Subject: English

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

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

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

Join the laboratory of Assoc. Prof. Elbert Chia at SPMS. We are seeking a Research Fellow to contribute to a project focused on measuring the current-phase relation of a Josephson junction in superconductor-based structures, using a tunnel-diode-based penetration depth setup.

Key Responsibilities:

• Operation, maintenance, and modification of the tunnel-diode-based penetration depth setup in Prof. Chia’s laboratory
• Management of project issues, including related paperwork
• Measurement of the London penetration depth in superconductors
• Preparation of scientific publications

Job Requirements:

• A Ph.D. degree in physics is mandatory.
• Demonstrated strong experimental skills
• Demonstrated ability to publish high-tier research publications.
• Excellent verbal and written communication skills (including scientific writing).
• Ability to work independently but also to work as part of a team, e.g., collaborating with the group members as well as researchers from other labs.

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

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