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

• Act as a Finance Business Partner to the designated Research Centre/ Institutes within the cluster and provide strategic support to its management and budget holders by proactively monitoring financial activities and financial reporting specific to the Institutes, and clearly communicating results of the analyses.
• Provide financial and business advisories to the Institutes that are critical to the decision-making purposes and ensure compliance with University’s financial policies and procedures, and funding agencies’ terms & conditions / guidelines.
• Foster and maintain a regular working relationship within the Institutes, central shared services teams, and other functional partners.

Duties & Responsibilities:
Financial Management and Oversight

• Ensure smooth day-to-day financial operations of the Research Centre (RCE) / Institutes (RICs) within the cluster, including exercising financial control over budget expenditure, revenue collection and financial reporting.
• Drive the annual budget and forecast exercises by coordinating all movements of budget, ensuring timely submission of budgets to central teams.
• Participate in strategic meetings and budget planning sessions with the Institutes’ management, providing valuable financial insights to aid decision-making.
• Partner closely with Institutes to guide cost-efficiency initiatives and offer expertise in implementing resource optimization strategies, leading to a reduction in operational expenses.
• Analyse Institutes’ financial positions and funding status, offer insights and recommendations for periodic reporting to the Institutes’ management for decision-making processes.
• Prepare and present financial performance reports to the Institutes’ Governing Board/ Strategic Board, etc, ensuring clarity and accuracy of information.

Grant and Fund Management

• Partner closely with Institutes (as host institution) for effective grant administration, provide financial guidance throughout the grant lifecycle and facilitate budget allocation for various projects and funding sources, to enhance the host institute’s financial stability and research pursuits.
• Collaborate with budget owners to manage grants / funds and proactively identify issues for timely solutions and ensure optimal utilisation of funds.
• Ensure full understanding and compliance with the terms and conditions of the grants as predetermined in the signed letter of awards / agreements.
• Oversee grant claim statements preparation and timely submission to funding agencies, including liaison with auditors and fulfilment of audit requirements, and prompt response to queries for a smooth and timely audit fieldwork.
• Work collaboratively with the Institutes’ stakeholders and central shared services teams during financial year-end closing and grants’ closing activities to ensure all legitimate transactions are properly recorded and all financial reports are accurately prepared.

Governance, Controls and Compliance

• Ensure compliance with related tax filing matters including GST, withholding tax and taxable benefits for personal claims.
• Timely perform Risk Control Matrix (RCM) testing and address anomalies to mitigate financial risks, and ensure certification sign-off by Institute’s HOA before the financial year’s closing deadline.
• Liaise with internal auditors on all internal audit matters, where required.
• Coordinate and oversee the annual fixed assets verification exercise of the designated Institutes. Work collaboratively with Institutes’ stakeholders to ensure compliance with the verification procedures and maintain accurate records of fixed assets.

Leadership

• Execute plans and strategies outlined by Cluster Lead, ensuring that team goals align with the broader NUS / research finance cluster objectives.
• Resolve operational issues and challenges, making decisions with defined parameters and escalating complex issues when necessary.
• Monitor individual and team performance, offering feedback and support for continuous improvement

Process Improvement and Stakeholder Communication

• Proactively engage with Institutes’ stakeholders to understand their needs, challenges and goals.
• Provide guidance and updates to stakeholders on finance policies, guidelines and procedures, as and when required.
• Identify opportunities to develop guidelines and streamline financial processes for operational efficiency and resource optimization.
• Lead change initiatives such as projects, system implementation and other assignments as may be directed from time to time.
• Undertake ad-hoc tasks as requested by Institutes or assigned by Cluster lead.

Qualifications

• Accounting Degree/ACCA or equivalent with at least 10 years of relevant working experience
• Exposure to grant budgets, funding agencies’ regulations and financial compliance requirements in a research or education environment will be advantageous
• Technically competent with up-to-date knowledge of accounting / audit standards and practices
• Ability to quickly learn and grasp the implications of terms and conditions for each managed grant
• Highly stakeholder service-focused and strong in communication skills with the ability to build positive working relations and work collaboratively with people at all levels
• Highly analytical with exceptional problem-solving and organisational skills
• Self-motivated individual and able to work with minimal supervision in a dynamic environment with competing demands for resources
• A keen sense of ownership and accountability, and act with a sense of urgency to meet tight deadlines
• Proficient in using MS Office and has relevant experience in SAP accounting system and flexibility to adapt new software applications, where applicable

Research Assistant

1 year

Caldecott

Mon - Fri: Office Hours

To assist in research work. Job duties include (not limited to):

• Conduct literature review
• Collect data and manage database
• Analyze data and report findings
• Provide administrative support

Job Requirement

• Bachelor’s degree in Psychology/ related social science discipline
• Experience in quantitative research (e.g., thesis using quantitative methods)
• Knowledge in R or Python is a plus
• Knowledge in Tableau or Power BI is a plus
• Strong analytical and critical thinking skills
• Good communication and interpersonal skills
• Attention to detail and strong organizational skills

Interested candidate please WhatsApp me @ https://wa.me/6596429153

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

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PERSOLKELLY Singapore Pte Ltd
• RCB No. 200007268E
• EA License No. 01C4394
• EA Registration No. R1656523 (Ng Yi Teng)

GOREF:10899

• Operate specialized equipment to perform skincare measurement techniques.
• Assist in capturing and documenting results accurately.
• Maintain the highest standards of precision and professionalism.
• Competitive pay of $15–$20 per hour.
• Detail-oriented individuals with a passion for skincare science.
• No prior experience is required; training will be provided.

*Please note that only shortlisted candidates will be notified. To apply, send your detailed resume with expected salary (Hourly rate) to [email protected].*

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 Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

We are seeking a motivated and innovative Post-Doctoral Research Fellow to conduct cutting-edge research in AI safety. The candidate will focus on curating data, aligning AI models, identifying gaps between academic research and industry practices, and developing tools to govern AI behavior. The position also requires regular publication in top-tier AI conferences and journals. This role offers the opportunity to contribute to the development of responsible and safe AI systems while working at the forefront of AI research.

Key Responsibilities:

1) Data Curation and Management: Collect, clean, and organize datasets relevant to AI safety research. Ensure data quality and accessibility for model training and evaluation.

2) Model Alignment and Development: Align AI models with safety objectives, ethical guidelines, and societal norms. Design and evaluate methods to prevent unsafe or unintended AI behavior.

3) Gap Analysis: Identify gaps between current AI safety research and industry practices. Propose actionable solutions and frameworks to address these gaps.

4) User Interviews and Research: Conduct interviews and surveys with stakeholders (users, developers, policymakers) to understand real-world challenges in AI safety. Integrate findings into research and tool development.

5) Tool Development: Develop practical tools, frameworks, or methodologies to govern and evaluate AI behavior. Prototype solutions that enhance AI interpretability, robustness, and compliance with ethical guidelines.

6) Research and Publication: Conduct high-quality, novel research in AI safety. Publish findings regularly in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI safety, ethical AI, alignment, or related areas.
• Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience with data curation, analysis, and cleaning.
• Track record of publications in top AI/ML conferences and journals.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience in user research, including conducting interviews and surveys.
• Familiarity with fairness, robustness, and interpretability in AI.
• Knowledge of industry trends and challenges in deploying safe AI systems.
• Ability to collaborate across interdisciplinary teams and with external stakeholders.

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 AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

Job Description:

• Provide administrative support to the department including procurement, maintain and track departmental assets/ equipment
• Provide scheduling and secretarial support to the department (Clinical Research Unit) such as managing calendars of department Director
• Coordinate department meeting and minutes writing
• Provide grant and project funding administrative support
• Assist in generating reports and data
• Any Ad Hoc duties as per assigned

Requirement:

• Diploma in Business Administration/ Project Management/ Health Service Management or equivalent

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

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JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Kam Xiu Ping

EA Personnel Reg No: R21101828

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 (SoC). SoC 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 to work on problems at the intersection of information theory, statistics, and learning.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Strong background in mathematics
• Research experience in information theory

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 Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

The Laboratory of Surgical System & Service Innovation (3SI) is a multi-disciplinary laboratory that provides a platform for cutting-edge surgical health services research that informs healthcare systems, policies, and programs to provide high-value, patient centered care for patients and their families undergoing surgery.

We are looking for an enthusiastic, dynamic, meticulous, and responsible research fellow or senior research coordinator with expertise and experience in qualitative research methods to complement the team. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for seriously ill patients in surgery.

Among others, your role will focus on qualitative and ethnographic research, and this may include assisting with study design, implementation, in-depth qualitative interview, coding, and qualitative analysis.

*Successful Applicant with Degree or Master's Degree as highest academic qualification will be offered Senior Research Coordinator position, while PhD holders will be offered Research Fellow position.

Main Responsibilities:

1. Qualitative research

• Design and implement new studies/ programmes
• Create interview guides and focus group discussion frameworks
• Conduct in-depth interviews
• Manage and organise field notes and recordings
• Transcribe audio recordings accurately
• Conduct analysis of qualitative data

2. Data Collection, Management, Analysis

• Gathering data from various sources and organizing it for analysis
• Performing statistical and data analysis techniques to generate insights from the data
• Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning

3. Presentations & Data Visualization

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations
• Data Visualization: Creating visual representations of data to effectively communicate insights
• Preparation of presentation slides and posters for submission to local and international conferences
• Preparing manuscript suitable for publication

Main Requirements

• Bachelor’s / Master’s degree or PhD in the healthcare related fields, social sciences or psychology such as, but not restricted to: Sociology/ Anthropology, Social Work, or Public Health
• At least 5 years of work experience in non-research sector that demonstrates candidate’s ability to work independently and in a team, manage projects, analyze data, write reports and communicate effectively.
• OR At least 2-3 years of qualitative research experience (e.g., participatory action research, ethnographic research, evaluation research, culture-centered approach) which demonstrates candidate’s ability to work with qualitative research team, and conduct fieldwork in local settings with people from different walks of life.
• Demonstrate ethical considerations, sensitivities and competencies working with older adults and/or vulnerable populations.
• Interest in conducting both evaluation and exploratory research that impact policies and programmes relevant to health/serious illness/palliative care/ageing/surgery/disparities
• Experience in using NVIVO 11/12 qualitative analysis software
• Demonstrate versatility in conducting qualitative research analysis (eg. discourse analysis, grounded theory, phenomenological analysis, narrative inquiry, constructivist, thick description, reflexivity/ standpoint, political economic analysis)
• Able to work independently and interactively in a team setting, motivated, responsible and a fast learner
• Passionate about clinical and health service research to bring about positive impact to patients

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

• Robust perception, planning, and control for field robots
• Simultaneous localization and mapping
• Experimental robotics
• Novel mechanism synthesis and analysis
• Electromechanical system design experience is strongly preferred

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability .
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively communicate ideas and take constructive criticism
• Able to effectively work in a multi-disciplinary team and with third-party vendors

The position requires min Diploma in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

The Research Assistant will be responsible to, and work closely with, the Principal Investigator, study team members and Family Medicine Development team to ensure the successful timely completion of the research on time. The RA’s principal role will be to work in general practices such as project management, recruitment, data collection, data entry and analysis. The RA may be required to liaise with personnel from partnering institutions in the course of his/her work.

You will be responsible for the followings:

• Assist PI with ethics application and amendments,
• Patient recruitment, informed consent taking and data collection
• Conduct focus group interviews, where required
• Manage research data, data entry, data cleaning and ethics/legal compliance
• Process patient reimbursement, where necessary
• Assist PI in preparation of study related presentations/materials
• Provide administrative and secretarial support to the project, such as organising regular meetings for the research team and collaborators from study sites
• Assist with any other duties of a similar nature that are delegated by the PI
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures

Requirements

• Bachelor’s degree in health sciences or nursing, preferably with some experience in healthcare setting
• Possess strong interpersonal skills
• Able to converse in English, Mandarin, Malay or major local dialects
• Proficient in MS Office applications (Word, Excel & Powerpoint)
• A team player with excellent interpersonal and communication skills, with the ability to work compassionately with geriatric participants
• Prior experience working in a research setting or with elderly will be advantageous
• Strong administrative and project management skills
• Willing to travel between study sites

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

RESEARCH AND DEVELOPMENT CHEF Job description

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract at the Psychology and Child & Human Development Department.

Project Title: THE IMPACT OF THE MOE-OBS CHALLENGE PROGRAMME ON STUDENTS

Project Introduction: The project is to assess the impact of the MOE-OBS challenge programme on students.

Requirements:

• Master degree from a reputable university in the areas of Education.
• At least 1-2 years of relevant research experience, including qualitative and quantitative research, and scholarly writing
• Exhibits good supervisory, leadership, and communication skills

Responsibilities:

• Engage in both quantitative and qualitative data collection
• Engage in extensive scholarly writing and data analyses
• Present and share research findings through interactions with students, researchers, and higher education authorities.
• Engage in research tasks as assigned by the PI

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019444 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Psychology-and-Child---Human-Development-Department--NIE-_R00019444)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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 capable researcher to join our research group. The successful candidate will contribute to development of cultured meat and sustainability, focusing on developing innovative media and sustainable processes. This position enables the researcher to work on issues in food and sustainability.

Key Responsibilities:

• Conduct research on media development and cultured meat
• Collaborate with cell biologists, biotechnologists, team members and other stakeholders
• Scientific writing

Qualifications

Job Requirements:

• Ph.D degree in a relevant field such as cell culture, fermentation, food bioscience and food science
• Ability to work independently to plan, design and conduct experiments, analyse and interpret data
• Proficiency in English, with good scientific writing and oral communication skills
• A good understanding of media formulation, cell physiology, nutrients, growth and metabolism
• Analytical skills, especially analysis of chemical components

Job Highlights

Salary: Up to $3500 per month

Contract Duration: 17 months

Working Location: Nearest to Upper Changi MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Support the conceptualisation and management of studies related to correctional research and evaluatio
• Conduct literature reviews and write reports on research studies related to correctional research and evaluation
• Collect and analyse research data
• Coordinate with internal and external parties to facilitate research studies or related requests
• Provide publication-related support
• Maintain online knowledge management initiatives and miscellaneous management of e-resources

Job Requirements

• Only Singaporean need to apply.
• Degree in Social Science and related field.
• Prior experience in conducting quantitative and/or qualitative research.
• Proficient in using SPSS Software

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

About Us:

Join us at Shanda AI Research Institute (SARI)! The institute is dedicated to becoming a global leader in AI innovation, driving the transition of AI technology from the "copilot" era to the "autopilot" era. SARI focuses on cutting-edge research in large models and nextgeneration intelligent agents. Our mission is to push the boundaries of AI technology, develop groundbreaking models, and advance their real-world applications and impact.

Furthermore, we work closely with Tianqiao & Chrissy Chen Institute (TCCI) to jointly advance cutting-edge research at the intersection of AI and brain science. By applying the latest achievements in AI, represented by large models, to brain science research, we aim to drive breakthroughs in the field. At the same time, leveraging the latest insights into human cognitive mechanisms from brain science, we explore innovative paradigms for the next generation of AI.

Key Responsibilities:

• AI Innovation & Integration: Advance LLMs, LMMs, and next-gen AI by integrating long-term memory, retrieval-augmented generation (RAG), and intelligent agents.
• AI + Brain science: Advancing interdisciplinary research between AI and brain science, particularly focusing on the application of large models in multimodal, highprecision, and low-latency brain signal decoding.
• Research & Publication: Publish in top-tier journals and conferences, secure patents, and contribute to the open-source AI community with datasets, models, and code releases.
• Industry Insight: Stay ahead of emerging AI trends, technologies, and applications that shape industries and transform businesses. Apply theoretical breakthroughs to real-world business challenges, driving AI adoption and impact.

Essential Qualifications:

1. Technical Expertise

• Strong understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Machine Learning.
• Familiarity with state-of-the-art models, including Autoregressive Language Models, Vision Transformers, and Diffusion Models.
• Proficiency with AI frameworks like PyTorch and experience in RetrievalAugmented Generation (RAG) and intelligent agent systems.

2. Academic & Research

• Proven research experience with publications in top conferences and journals, such as ICLR, ACL, EMNLP, CVPR, NeurIPS, ICML, etc.
• Experience in developing and refining large-scale language models and visionlanguage models is a significant advantage.

3. Programming Skills

• Proficiency in Python, C++, or Java, with hands-on experience in Linux environments.

4. Soft Skills

• Strong skills in communication, teamwork, problem-solving, and self-motivation.

Preferred Qualifications:

• Demonstrated success in high-impact AI competitions or large-scale research projects.

Bonus Skills:

• Experienced in brain science research, particularly at the intersection of neuroscience and AI.
• Hands-on experience with large-scale data processing and deployment of deep learning models in production environments.
• Strong mathematical foundation and fluency in English for technical documentation and communication.

Job Highlights

Salary: Up to $4200 per month

Contract Duration: 12 months

Working Location: Nearest to Caldecott MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• To assist in Research and Evaluation of programmes and other administrative work.
• Conducting literature reviews.
• Data collection (development and administration of assessments, online surveys or interviews or extraction of data)
• Manage database (data cleaning and data wrangling).
• Basic statistical analyses.
• Preparation of presentation slides and presentation of findings to various stakeholders
• Coordinating research related work schedules of various stakeholders.
• Taking notes of minutes for meetings.
  

Job Requirements

• Only Singaporean need to apply.
• Degree in Psychology, Social Science or related field.
• Experience in using SPSS software, R, or any other statistical platforms is advantageous.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Somma is part of The Lo and Behold Group, a hospitality company known for its ability to create timeless destinations and thought-leading experiences.

As a team, we are very passionate about the potential our industry has in shaping a city and take great pride in grooming the next generation of hospitality leaders. We build career paths around the individual, develop training modules both in-house and out, and design incentives and recognition programmes to ensure that good work always pays off.

For its efforts, the group has been recognised as a Human Capital Partner with the Ministry of Manpower, a “Great Place To Work” (2022, 2023) and one of AON’s Best Employers. Wherever you are on the team, whatever your definition of success, we’ll set you on the right path.

Across all levels, our kitchen is a safe space for every culinary mind to explore their artistry and hone their craft in every dish, and in every detail.

You'll be in charge of:

• Menu development and Research & Development activities supporting Chef Partner’s concepts
• Organisation and documenting of new and current recipes into a system that is easily utilised by the culinary operations team, ensuring SOPs, recipes are followed
• Conducting training and development of recipes to current and new staff under Chef Partner’s concepts
• Support the Chef Partner in planning and manage activities with the Marketing department relating to overseas events that the Chef Partner is engaged in
• Logistical liaison and project manager for overseas promotional/4-hands trips that the Chef Partner is engaged in to both external and internal contacts
• Food cost and savings for concepts under Chef Partner
• Support Chef Partner in operations where necessary

We love people who:

• Go above and beyond to make someone else's day
• Are thoughtful and kind, while upholding high standards
• Own outcomes and drive solutions
• Are ever-curious and always learning

Benefits:

We believe in taking care of our people, so they can take care of others. We recognise and support each individual through our TLBG Partnership Programme (a monthly sales incentive), medical and insurance coverage, employee dining discounts across our venues, celebrations for each individual’s key milestones, as well as one month sabbaticals for long-service individuals.

Take an inside look at our culture or find out more here.
https://www.lobehold.com/playbook
https://instagram.com/tlbg.openarms

Click on Apply or send your CV via Whatsapp to 80687635.
Should your application progress to the next stage, we will be in contact to arrange for an interview.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. We are looking to hire a leading scientist with the expertise in microbiology. Some experience in materials science and engineering would be ideal. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• To isolate, identify and investigate how probiotics can impact growth rate and health of fish in the aquaculture industry.
• Developing and formulating encapsulation systems for the delivery of probiotics
• Conduct growth trials and challenge tests with research collaborators to understand the impact of functional fish feeds vs existing feeds.

Job Requirements:

• PhD qualification with relevant research experience in Material Science
• The candidate will be hired in an aquaculture-related project that funded by a government agency.
• The candidate will be working as a part of a research team to provide expertise knowledge and skills in microbiology and materials science to address to the hypothesis in the project.

We regret that only shortlisted candidates will be notified.