Position title: Quantity Surveyor

Location: Anson Road

Working Days: 5 days, Monday-Friday

Working hours : 9 to 6 p.m

Salary : $4,000-$5,000

Key Responsibilities:

• Responsible for quantity take off and cost estimation.
• Preparation of tender submission with specific deadline.
• Source, planning, negotiate and award of contract to vendors.
• Responsible for material order processing and cost control.
• Evaluate and process vendor claims.
• Prepare monthly progress claims for submission to consultants in timely manner.
• Finalize project accounts with clients and vendors.

Requirements:

• Min. Diploma in related field of studies.
• At least 5 years of Quantity Surveying experiences, preferably in Interior Design.
• Able to work under pressure and work under minimal supervision.
• Hands-on with Interior Design works will be high priority.

Interested applicants may choose to apply / Contact me your updated resume for our consultant to find you a suitable oppurtunities

Contact Number : +65 90839650

LIM JUN SHENG Reg No: R22104301

The Supreme HR Advisory Pte Ltd EA No: 14c7279

Job Description

The research scientist will be working with a team to carry out basic research in trustworthy formal methods. The topics of interest under this project include trustworthy automated reasoning, verification of randomized algorithms, compiler verification, and control/hybrid systems verification.

Key Responsibilities

• Research and Development: To carry out research tasks relevant to the project scope in trustworthy formal methods as listed briefly above.
• Student Supervision: Co-supervise students (undergrad/masters/PhD level) in relevant research tasks.
• Publication and Dissemination: Disseminate completed research work through publications and presentations at various high-quality international venues.
• Strategic Planning: Participate in other department/institute-level research activities and grant/project proposals.

Job Requirements:

• PhD degree in Computer Science / Mathematics or related fields
• At least 5 years of ecperience
• PhD specialization in formal methods, computational logic, or related topics, with track record of high-quality publications in top-tier venues.
• Proficiency in proof assistants such as Isabelle/HOL, Coq, or Lean will be beneficial.
• Knowledge or experience in cybersecurity will be beneficial.

Desired Attributes

• Ability to deeply investigate the topics of interest, leading to high-quality and impactful research output.
• Applicants should be motivated, resourceful, and analytical individuals.
• Possess good interpersonal, presentation and communication skills.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

A MNC technology organisation is seeking an experienced AI Research Scientist to join their team.

Your new company

We are seeking a highly skilled and experienced AI Research Scientist to join the team.

Experienced in artificial intelligence and machine learning, passion to innovate and improve the capabilities of existing solutions, work closely with cutting-edge research projects, develop new algorithms, AI initiatives, for independent and collaborative research.

Your new role

As AI Researcher in the engineering team, you will be responsible for:

· You will be responsible to design and conduct scientific experiments, utilizing core

AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. Work with statistical analysis, machine learning, deep learning, generative AI, and text representation techniques.

· Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.

· Familiar with AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions.

· Collaborate with our partners and engineers to apply research findings to real-world problems and product development.

· Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.

· Develop prototypes of AI/ML solutions to solve real business and engineering problems in the areas of optimal building control and human wellbeing improvement.

What you need

· PhD or Master degree in Computer Science, Computer Engineering, Statistics,

· Engineering, or related technical field.

· 2-4 years of experience in research and development, specifically in one or more of

· the following areas:

· Experience with deep learning frameworks such as Pytorch or Tensorflow and machine learning libraries such as scikit-learn.

· Generative AI, specifically in generating synthetic data.

· Large vision language model (LVLM), Embodied AI.

· Proficiency in programming languages such as Python and/or C/C++. Experience

with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.

· Experience with any cloud computing platform and/or IoT systems is preferred

· Demonstrate an analytical mindset with adept problem-solving skills.

· Stay abreast of the latest research developments in AI through literature review,

attending conferences, and tech-sharing sessions with fellow team members.

What you'll get in return

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or emai [email protected] for a confidential discussion on your career. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D

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

• Assist CAG research projects and activities, and support CAG Senior Research Fellows and Faculty Associates in their research projects
• Prepare background briefs, presentations, and track specific issues
• Conduct independent research, and write academic and policy research papers and reports
• Compile and manage research materials and products
• Provide editorial and management support to research projects, events, and publications
• Organise and support CAG events, including academic and policy conferences and workshops
• Undertake other administrative duties related to research projects such as managing correspondence and filing
• Support CAG public engagement including social media content management and website maintenance

Job Requirements

• A Master’s degree holder in a discipline within the social sciences and/or humanities
• Expertise or interests in any of the following:
  o China-India relations
  o Asian politics and international relations, including great power politics and Southeast Asian regional politics
  o Applicants with other areas of interests will also be considered if relevant to CAG research focus
• Strong analytical ability and strong self-motivation
• Able to work independently
• An ability to engage with research and policy communities in Asia and around the world
• A strong sense of collegiality
• Excellent spoken and written English
• Ability/experience with social media content management tools
• At least 2-3 years of experience in academic research

Application Procedure

Applicants should submit in electronic form (MS Word or PDF file) for the following below:

• Cover letter, with a brief statement of research expertise and its relevance to research interests as above
• Detailed curriculum vitae
• At least one writing sample (in English)
• Two references/recommendation letters
• Joining date: January 2025
• Application deadline: December 15, 2024

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Position Overview: The Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, National University of Singapore, seeks a dynamic and versatile Research Associate to serve as the Executive Support and Operations Lead. This pivotal role will provide high-level support to the Principal Investigator (PI) and executive staff, while gaining broad exposure to various aspects of geroscience and geromedicine research. The successful candidate will play a crucial role in advancing the Academy's mission to position Singapore as a global leader in healthy aging research.

This one-year appointment offers an exceptional opportunity for a motivated individual to fast-track their research career by engaging in diverse projects and gaining comprehensive insights into the field of healthy longevity.

Main Duties and Responsibilities

## Executive Support

- Serve as the primary liaison between the PI, executive staff, and internal/external stakeholders

- Manage the PI's schedule, including coordinating meetings, travel arrangements, and prioritizing commitments

- Prepare and edit high-level correspondence, reports, and presentations for the PI and executive team

- Assist in the development and implementation of strategic initiatives aligned with the Academy's goals

## Research Coordination

- Collaborate with research teams to track project progress and ensure timely completion of deliverables

- Assist in the preparation of grant proposals, ethics applications, and regulatory documentation

- Coordinate with internal departments and external partners to facilitate research collaborations

- Support the dissemination of research findings through publications and conference presentations

Main Duties and Responsibilities

## Operational Management

- Support day-to-day operations of the Academy, ensuring efficiency and effectiveness

- Support the management of budgets and financial planning for research projects and operational activities

- Coordinate facility and equipment management to support research activities

## Team Leadership and Development

- Assist in the recruitment, onboarding, and training of new staff and students

- Identify training needs and facilitate professional development opportunities for team members

- Foster a collaborative and innovative work environment that promotes excellence in research

## Stakeholder Engagement

- Represent the Academy at conferences, workshops, and public forums

- Assist in organizing and executing outreach events and initiatives to promote the Academy's work

- Build and maintain relationships with academic partners, industry collaborators, and government agencies

Qualifications

- Master's degree in Life Sciences, Medicine, Public Health, or a related field

- Minimum of 3 years of experience in a research or healthcare setting, with demonstrated project management skills

- Strong understanding of clinical research protocols, regulatory requirements, and ethical standards

- Excellent organizational and problem-solving skills, with the ability to manage multiple projects simultaneously

- Exceptional written and verbal communication skills, with the ability to interact effectively with diverse stakeholders

- Proficiency in data analysis, research methodologies, and relevant software applications

- Demonstrated leadership potential and the ability to work both independently and collaboratively

- Keen interest in geroscience, geromedicine, and healthy aging research

- Adaptability and willingness to engage in a wide range of tasks and research areas

This position offers an unparalleled opportunity to gain comprehensive exposure to cutting-edge research in healthy longevity while developing crucial leadership and operational skills. The successful candidate will play a vital role in advancing the Academy's mission and positioning themselves for rapid career growth in the dynamic field of geroscience.

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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 fellow in the Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie 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 three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Our client is actively searching for a Director or Deputy Director, VP Research to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The Research Office is responsible for driving and defining the University's research strategy; liaising with and implementing ministry’s guidelines relevant to research; liaising with administrative units to develop, coordinate, and execute research policies; and ensuring resources are available to deliver University’s research plans.

As a Director/ Deputy Director, this role will work with senior research leadership and involve in providing strategic leadership and operational support in all research matters in the Research Office.. He/she will be responsible for formulation, implementation and regular review of research policies and procedures. This also includes assessment of the University’s overall performance in research initiatives/progammes to provide assurance that it is implemented within University and funding guidelines.

The responsibilities of this role are:

• Provide strategic and operational leadership of the Research Office and drive change management;
• Develop, review and implement policies frameworks, and guidelines that guide research activity across the University. Work synergistically with stakeholders to coordinate the formulation and development of policy and procedural papers in relation to the implementation of new initiatives and/or revision of existing policies/guidelines;
• Standardise research related policies across the University, ensuring governance and proper implementation in all schools, colleges and pan-university research centres;
• Collaborate with the various stakeholders such as Research Support Office, Research Integrity & Ethics Office, Talent Recruitment and Career Support Office to review processes/initiate new programs to drive RIE and university objectives which includes to lead, integrate and synergise various administrative, operational and system upgrade matters across different stakeholders;
• Engage with various stakeholders including senior research leadership of the school and corporate labs, Human Resources, Finance, Procurement, IT, etc., to align, bridge and improve processes;
• Oversee the Committee on Space Planning and Allocation and ensure that University space are effectively and efficiently utilised and in consistent with prevailing laws and university policy;
• Develop Standard Operating Procedures that are in alignment with the University’s policies and procedures and ensure sound corporate governance and compliance;
• Proactively develop, review and drive improvements in the research’s structure/system/process and work to enhance organisation’s effectiveness;
• Leverage on analytics to assess the effectiveness of research strategies and initiatives, enabling continuous improvement;
• Evaluate historical data on research outcomes and funding effectiveness to optimize resource allocation;
• Implement data-driven reporting systems to streamline compliance monitoring and reporting;
• Develop and manage annual budgets for the organization and performs periodic cost and productivity analyses.

The ideal candidate will need to have the following qualities and experience:

• A minimum of a Master's degree, preferably PhD degree with R&D background;
• Proven experience in a similar capacity with demonstrated competency in leadership, strategic planning, decision-making and stakeholder relationship;
• Prior work experience in institutes of higher learning or in managing research sponsored programs will be advantageous;
• Proficient in statistical methods and techniques for analyzing data;
• Proficient in data visualization tools such as Power BI and ability to create clear, compelling visualization to communicate insights;
• Requires comprehensive understanding of the education landscape;
• Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community;
• Ability to supervise and train employees, to include organizing, prioritizing, and scheduling work assignments;
• Ability to foster a cooperative work environment;
• Employee development and performance management skills.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research associate position is available at the Saw Swee Hock School of Public Health to support a principal investigator in cardiovascular disease epidemiology research projects.

Key Responsibilities:

The research associate will independently analyse proteomic and clinical data, contributing significantly to the understanding of cardiovascular disease. The role involves writing manuscripts focused on heart failure and developing and writing research grant proposals to secure funding for ongoing and future projects. The successful candidate will work closely with diverse experts, including epidemiologists, data scientists, and clinicians, to drive research initiatives in cardiovascular disease, ensuring a collaborative approach to advancing scientific knowledge in this field.

Qualifications:

• Strongly proficient in statistical software (R preferred, Stata, or Python).
• Experience in analysing clinical datasets
• Proficiency in Microsoft Office Applications, particularly MS Word and Excel.
• Strong skills in scientific writing and experience.
• Excellent written and verbal communication skills.
• Ability to work effectively and independently in a team environment.
• Master's degree in Statistics, Public Health with a strong quantitative background, Computer Science, or Mathematics with relevant experience in data science.

Additional Information:

• Recruitment is open immediately and will continue until the position is filled.
• Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application process.

If you are passionate about applying data science to advance heart failure research, we invite you to join our team and make a difference.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

We regret that only shortlisted candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

Compliance Processing Officer

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600 - $3000 + AWS + VB
• Location: Clarke Quay

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

This role is supporting the company’s compliance program and services, including Halal Conversion and Management, Training, and Inspection/Audits. These positions require a combination of independent project work, compliance monitoring, and client-facing activities. Responsibilities include performing periodic audits, investigations, and hands-on service delivery, while also contributing to service development through a mix of on-the-job learning and formal training.

Responsibilities:

• Prepare detailed audit and investigation reports that highlight areas of non-compliance and associated risks.
• Document all compliance activities using designated checklists and databases according to company policies and workflows.
• Conduct timely follow-ups with clients, close audits efficiently, and ensure findings are resolved.
• Perform compliance audits and monitor various Halal operations.
• Maintain and organize both electronic and hard copy files and records.
• Prepare and process documents for submission to relevant authorities, ensuring timeliness.
• Continuously engage and communicate with clients and authorities as necessary for applications.
• Monitor audit activity schedules and provide thorough follow-up, including reviews of client corrective actions.
• Provide administrative support and contribute to project committees.
• Communicate proactively with clients via phone, email, and face-to-face meetings to gather feedback and information.
• Undertake any other assignments and tasks as required.
• Any other assignments and tasks given

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

1 year Contract

Standard working days & hours: Mon to Fri, 9am to 6pm

Working location: Raffles place

Must be ablw to start work immediately!

Responsibilities

• Coordinate Global Marketing Science activities and operations to secure efficiency andcompliance with company policies that includes contract management and paymentsprocessing.
• Own administrative tasks, ensuring team has adequate support to work efficiently.
• Support budgeting and expenses reporting.
• Coordinate meetings with different internal and external stakeholders, cross-team events andbusiness trips.
• Manage complex calendar.
• Project manage Marketing Science on-boarding initiatives.
• Plan and execute team offsites and strategic planning sessions.

Qualifications

• Possess great organizational skills.
• Exceptional verbal and written communications skills.
• Impeccable attention to detail
• Has managed billing or procurement processes
• Any experience working across organizations that focus on measurement or research is a plus.

**We regret that only shortlisted candidates will be notified**

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://go.persolkelly.com/job/details/10095

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/Tac and 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.

EA License No: 01C4394

EA Personnel ID: R1108331

EA Personnel Name: Janelle Katherine Hoeden

Compliance Processing Officer

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600 - $3000 + AWS + VB
• Location: Clarke Quay

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

This role is supporting the company’s compliance program and services, including Halal Conversion and Management, Training, and Inspection/Audits. These positions require a combination of independent project work, compliance monitoring, and client-facing activities. Responsibilities include performing periodic audits, investigations, and hands-on service delivery, while also contributing to service development through a mix of on-the-job learning and formal training.

Responsibilities:

• Prepare detailed audit and investigation reports that highlight areas of non-compliance and associated risks.
• Document all compliance activities using designated checklists and databases according to company policies and workflows.
• Conduct timely follow-ups with clients, close audits efficiently, and ensure findings are resolved.
• Perform compliance audits and monitor various Halal operations.
• Maintain and organize both electronic and hard copy files and records.
• Prepare and process documents for submission to relevant authorities, ensuring timeliness.
• Continuously engage and communicate with clients and authorities as necessary for applications.
• Monitor audit activity schedules and provide thorough follow-up, including reviews of client corrective actions.
• Provide administrative support and contribute to project committees.
• Communicate proactively with clients via phone, email, and face-to-face meetings to gather feedback and information.
• Undertake any other assignments and tasks as required.
• Any other assignments and tasks given

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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

Requirements

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

To apply, please email your CV and names of references to [email protected], [email protected]

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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 three (3) referees.

We regret that only shortlisted candidates will be notified.

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

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 Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

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

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.