Our Client is one of the top educational institution in Singapore.

Scope of Work

1. Research Grant Administration

· Provides effective administration of research grant call applications and management of awarded grants

· Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

2. Communication of Research Information

· Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.

· Develops content for the school’s website for research grants, projects and achievements.

· Develops Research-related publications (Research Brochures /Pamphlets)

· Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

3. Monitoring Research Budgets and Assets

· Monitor budgets and expenditures relating to research grants

· Monitor deadlines for the submission of expenditure reports as well as progress and final report

Requirements

· Bachelor's Degree

· Proven administrative skills including the ability to handle data with accuracy.

· Excellent reporting with some finance working knowledge would be essential.

· Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.

· Competency in Microsoft Office applications (Excel, PowerPoint, Word).

· Ability to do content management and creation of information on research (Website, social media and newsletters)

If you are keen to know more about this role, please email Mary at [email protected] and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

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

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

EA Licence No: 93C4403

EA Regn No: R1326974

1. Responsible for performing all monitoring aspects of clinical trials and assist to set up, review and maintain project files to ensure compliance as stated in ICH E6 GCP to assure all trials are conducted in strict adherence to good clinical practices, regulatory obligations, investigator integrity and compliance with project specific requirements

2. Responsible for preparing, organizing, managing feasibility, site selection and investigator identification, initiation, monitoring and close-out visits in accordance with sponsor's and/or company's standard operating procedures (SOPs) and study requirements with the highest standards

3. Planning, develop, compile and/or review all study-related regulatory and administrative documents from investigational sites, monitoring visit reports, work progression reports and other study-required documents

4. Develop, compile and/or submit dossiers include initial/amendment/interim report/safety reporting to regulatory and/or ethics committee for review and follow up until approval, as required

5. Management in planning, coordinating, organizing and attending all study-related meetings and activities for sites as required

6. Manage/support project(s) in the capacity of lead CRA role and/or other designated project roles to undertake all or partial responsibilities and tasks as required, whenever designated by the Company

7. Support/Assist in Site and CRO audit or inspection as required

8. Support business development activities (e.g. search new project related information) as required

9. Proactively identify and facilitate resolution of complex study problems and issues.

10 Actively work towards achieving good personal relationships with the project Team members

We are looking for CRAs to work for either our Singapore or Malaysia Team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on topics of Quantum-Safe Security. He/she should possess experience or interest in the following research areas:

• Post-Quantum Cryptography
• Quantum-Safe Security

Job Requirements

• A PhD degree in a relevant area;
• Good publication record; and
• Experience in research.

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital ward

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Music Content Operations Research Analyst

• 12 months contract, with an option to extend based on business needs
• Hybrid work arrangement

The Opportunity

• Manage day to day ongoing operations with company’s music publishing and label partners
• Develop workflows for monitoring publishing data, music content and provide scalable solutions for issue identification and resolution
• Build visual reports to track publisher metrics and trends
• Communication with partners with regard to onboarding specifications and data delivery, including general documentation
• Partner closely with cross-functional teams – including commercial partnerships, legal, product, and engineering - in an effort to scale operations support workflows across teams
• Develop a deep expertise in company’s music rights management products and how they are being used across constituent groups
• Partner advocate for contractual rights based decisions and actions

Your Background

• Minimum 3+ years of experience in music account management, product management, online operations, consulting, or data analytics
• Music or media industry research background, preferably with record label, music publisher, complex DSP or UGC platform experience
• Manage some day to day data ownership operations with company's publishing and label partners
• Develop an understanding on company’s music rights management products with an eye on operational, system and process improvement
• Understand sensitivities around IP policy, processes, and products
• Knowledge of copyright and music licensing
• Knowledge of digital rights management products, especially for music
• Experience in data manipulation using Excel and querying databases with SQL
• Technical operations capacity (ie. advanced querying, data fluency, read/write specs, troubleshoot data issues, scripting, etc.; proficient in both SQL and Excel)

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Be independent in research of advanced speech and audio algorithms and the development or implementation of such algorithms for embedded systems.

• Experience or knowledge of acoustic tests measurements for data acquisition and be familiar with state-of-the-art testing equipment.
• Experience of conducting objective/subjective evaluation of various audio algorithms on speech enhancement, active noise control, binaural rendering.
• Extensive experience in signal processing, acoustic modelling, adaptive filtering, noise suppression, active noise cancellation, hearing through etc.
• Ability handling C, Python, and script codes for system modelling, simulation and system implementation.

Qualifications Requirement:

• PhD with relevant experience (fresh PhD graduates are welcome).
• Extensive knowledge in at least one of the areas including: signal processing applied to audio, active noise control, speech enhancement, adaptive filtering and microphone array signal processing.
• Solid mathematical background.
• Working knowledge of C/C++ and/or Matlab/Python scripting as well as DSP algorithm optimizations
• Highly Desired:
  • Expertise in AI applied to audio, with hands-on experience in at least one deep learning framework in Python
  • Hands on experience in DSP code optimization and deployment for embedded audio systems
  • Knowledge and expertise of earphone active noise cancellation/hear through algorithm design and tuning, measurements and etc.
  • Top-ranking and/or award receivers in world competition in speech/audio signal processing field

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret to inform 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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

• Project Administrator
• Work location: Science Park
• Mode: Contract 1 yr renewable

Job requirements:

• Screen candidates by reviewing resumes
• Coordinate & follow-up the overall interview, selection, and closing process
• Ensure all screening, hiring, and selection is done in accordance with employment laws and regulations
• support the operation of the Technical Training department by assisting with administrative tasks, coordinating training schedules, maintaining records, and liaising with internal and external stakeholders.
• other admin PMO related tasks or adhoc task
• Diploma / Bachelor's Degree in Human Resources, Business Administration, or related field
• 2 to 3 years of recruiting experience in IT Field
• Ability to communicate effectively, both orally and in writing
• Demonstrated ability to establish effective and cooperative working relationships built on trust
• Excellent organizational and time management skills
• Ability to manage a wide range of relationships with a variety of stakeholders
• Proficient in Microsoft Office
• Working knowledge of interview techniques and applicant screening methods
• Deep understanding of employment laws and regulations

Interested applicants please send resume to [email protected] for a faster respond.

Job description

The National University Health System Virtual Care Centre (NUHS VCC) is an initiative where trained personnel provides tele-triage to patients and/or their caregivers. VCC will either provide advice and resolve the clinical question or escalate to the VCC clinician where appropriate. To facilitate the development and evaluation of VCC at NUHS a research team has been established. This team is now looking for a research assistant/associate with experience of conducting research projects to join the group. The successful candidate will support research fellow on the evaluation of VCC.

Primary Responsibilities

1. Assist in designing and implementing research-related tasks.
2. Assist in recruiting and coordinating research participants
3. Help with data entry, cleaning, and management
4. Assist in collecting and analysing data from various sources
5. Conduct literature reviews and summarize findings
6. Assist in developing research papers, reports, and presentations
7. Maintain accurate and organized records of research data and findings

Secondary Duties

1. Attend VCC-related meetings
2. Collaborate with the research team to achieve project goals
3. Assume additional responsibilities as assigned by the reporting officer/HOD.

Job Requirements

1. Master and/or Bachelor's degree in a relevant field (e.g. social sciences, psychology, biology)
2. Minimum 2-4 years of experience in hospital research is a plus.
3. Ability to work independently, and communicate effectively in English, both verbally and written.
4. Experience of applying for ethical review would be an advantage
5. Ability to maintain confidentiality and adhere to ethical research standard.
6. Driven and motivated, with potential to achieve research excellence.
7. Ability to generate experimental results leading to high impact publications.
8. Multi-lingual preferable

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

We are an education centre located in Ang Mo Kio and Hougang, looking for passionate part-time Primary and Secondary level Teachers to join us in 2025!

All Materials and Training will be provided. Back to back classes arranged. Maximum of 8 students a class.

Attractive Hourly Rate:

• Primary Level: Up to $60/hr
• Secondary Level: Up to $70-$80/hr

Classes Available:

• Primary Level: Math, Science
• Secondary Level: Math, Science, Chemistry, Physics

1. Weekdays between 4pm to 9pm, depending on allocated classes
2. Weekend between 10am to 6pm, depending on allocated classes

Indicate the subjects and levels you have taught in your resume.

Job Highlights

• Fun and friendly working environment
• Flexible working hours with training provided

Job Description

• Delivering lessons in accordance with StarChamps's curriculum for students between pre-Primary to Secondary level, using various teaching methods to ensure a high quality of learning.
• Marking students' work and going the extra mile for weaker students.
• Classroom administration.
• Completing student progress reports for students each month.
• Establishing and maintaining good relationships with students and parents.
• Providing term updates to parents on students’ performance and progress.
• Create and maintain a safe and conducive learning environment for students, safeguarding their safety and health at all times.

Job Requirements:

• A Degree in any discipline
• Minimum 2-3 yrs of teaching experience
• Must have the passion to teach
• Has to be comfortable with use of technology in class
• Classes available on weekdays 4pm~ & weekends 10am~
• Can commit for at least one full academic year [new academic year starts in January 2025]
• Training will be provided
• Able to commence on short notice

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Analysis: Conduct data analysis to extract valuable insights from healthcare operational data, including patient records, resource allocation, and process efficiency. Employ statistical methods and data visualization techniques to support research objectives.
• Mathematical Modeling: Develop and apply mathematical models to simulate healthcare operational processes, optimizing resource allocation, patient flow, and overall efficiency.
• Programming: Utilize programming languages such as Python, R, or other relevant tools to automate data analysis processes and create software tools for data manipulation and modeling. Utilize programming languages such as MATLAB and Julia, through GUROBI, CPLEX and other optimization solvers to solve the optimization models.
• Research Support: Assist in designing and executing research discussions. Contribute to literature reviews and research proposal development.
• Reporting: Prepare reports, presentations, and visualizations of research findings and insights for internal and external stakeholders. Effectively communicate complex data-driven information.
• Collaboration: Collaborate with the project team, including researchers, clinicians, and administrators, to ensure the project's goals are met. Actively participate in project meetings and contribute to a multidisciplinary approach.

• Possess a Ph.D. degree or equivalent in Data Science, Operations Research, Mathematics, Computer Science, or a related Management Science discipline.
• Exhibit a robust academic and research portfolio demonstrating experience in advanced data analytics and optimization. This includes a track record of engagement with research projects that have culminated in contributions to peer-reviewed conference proceedings or journal publications (either published or under review).
• Evidence of applied analytical skills, such as the development of novel methodologies or the implementation of optimization models in practical settings, will be highly regarded.
• Demonstrate a capacity for critical thinking, a propensity for innovation in problemsolving, and the ability to synthesize complex information into actionable insights.
• A commitment to ongoing professional development and collaboration within interdisciplinary teams is essential.
• Data Analytics: Proficiency in data analytics, including data cleansing, data manipulation, statistical analysis, and data visualization using tools such as Python, R, or related software.
• Mathematical Modeling: Strong mathematical modeling skills, with the ability to create and apply models for healthcare operations optimization.
• Programming: Proficiency in Python or R, to automate data analysis and create modeling tools. Proficiency in MATLAB and Julia, to solve the optimization models. Proficiency in optimization solvers such as GUROBI and CPLEX.
• Research Skills: Familiarity with research methodologies, literature review, and data collection techniques.
• Healthcare Operations Knowledge: A solid understanding of healthcare operations, including resource allocation, and process optimization. Experience in participating in healthcare management research projects.
• Communication: Excellent communication skills to convey complex data-driven insights to a diverse audience.
• Problem-solving: Strong problem-solving abilities to address research challenges and make data-driven recommendations.
• Teamwork: The ability to work effectively in a team, collaborate with cross-functional stakeholders, and contribute to a multidisciplinary approach.

#LI-KC1

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job Responsibilities:

• To monitor and ensure lessons are delivered according to expected standards and desired outcomes through (regular class observation, regular trainings or workshops conducted for teachers and associate teachers (Eg. Value-added marking workshops, classroom management, parents management etc)
• To maintain close communications with parents through (meet parents meetings, workshops for parents, other written correspondence, eg. newsletters)
• To conduct regular review sessions with staff team to appraise and feedback on work performance and approval of leave teachers
• To provide leadership to lead curriculum innovation, curriculum planning, curriculum design and research
• To stay current with curricular trends and changes in Singapore and to ensure changes in MOE guidelines are integrated promptly into the centre’s curriculum
• To plan, research and create innovative programme/materials that are in alignment with MOE guidelines and create an enriching experience for the centre’s students
• Collaborate with the marketing manager to provide contents to develop marketing materials to promote a strong and unique branding of the centre’s programme
• To actively scan the internal and external environments to identify potential problems and opportunities which can be addressed or capitalised to maximise the students’ learning experiences
• To shape a culture of high competence, commitment and connectivity

Job Requirements:

• Bachelor's degree in education relevant.
• With 3 years of experience in managing a team of teachers
• At least 5 years of teaching experience
• Able to work 4 weekdays and 1 weekend (Tuesday – Saturday)
• Able to work on selected weekday nights (2 weekdays 10am – 7pm, 2 weeknights 12.30pm – 9.30pm)

HOW TO APPLY:

Interested applicants, please click on “Apply Now”. We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Khor Khang Qin

EA Personnel Reg No: R22109669

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

(Halal Conversion and Management, Training and Inspection/Audits)

Compliance Processing Officer [ Halal Food Cert ]

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2,400 - $2,800 + AWS + VB
• Location: Near Clarke Quay MRT

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

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

(Halal Conversion and Management, Training and Inspection/Audits)

Compliance Processing Officer [ Halal Certificate ]

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2,300 - $2,800 + AWS + VB
• Location: Near Clarke Quay MRT

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

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

You will be part of the data science research team reporting to the Project Lead. Your responsibilities include managing research projects, facilitating all required documentation and financial records for project activities, and tracking progress to ensure both short-term and long-term goals are met. You will conduct interim project reviews and measure project performance. Additionally, you will assist the Project Lead in managing, guiding, supervising and reviewing the performance of the project team members.

Job Requirements:

· Bachelor’s or Master’s Degree in Bioinformatics, Biomedical Science, Health Science, Computer Science/Engineering or its equivalent with advance proficiency in Project Management. PMP certification is preferred.

· At least 3-5 years’ relevant work experience in data science/ analytics/ research and healthcare. Prior work experience in implementing national-level programme and cardiovascular medicine setting would be an advantage.

· Proficient in Microsoft Office applications and data management, with experience in relational databases in healthcare settings.

· Proficiency in risk management and performance measurement tools

· Strong interpersonal skills. Past experience in supervising junior staff would be an advantage.

· Excellent written and oral communication skills. Ability to translate complex technical concepts in simple layman’s terms.

• Basic Salary: $3000-$3500
• Working Hours: 44hrs/week
• Working Location: Farrer Park

Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Requirements：

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Location: Jurong Nursing Home, Lakeside
Salary: Up to $4.3k
Hours: Mon-Fri, Office

Role:
Assist the Operations Manager in daily tasks, ensuring compliance with safety and regulatory standards, while training and mentoring staff.

Responsibilities:

• Oversee facility maintenance and inspections
• Manage contractors and report issues
• Handle contracts and budget monitoring
• Ensure fire safety and compliance
• Supervise operations assistants
• Support process improvements
• Respond to emergencies after hours

Qualifications:

• Bachelor of Science (Honours) in Facility Management
• No Need Experience , Training Provided

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

We regret that only shortlisted candidates will be notified.

Job Title: R&D Engineer - Electrolyte (Battery Material Research Division)

Location: NTU-Durapower Advance Lithium Battery Joint Lab #02-01, 1 Cleantech Loop, Singapore 637141

Overview:

We are seeking dedicated R&D Engineers specializing in electrolyte development to join our dynamic Battery Material Research Division. This role focuses on advancing high silicon-based projects, optimizing electrolytes for high-voltage, high-power, and high-safety applications, particularly in the realm of solid-state battery technology.

Key Responsibilities:

· Electrolyte Formulation: Lead and contribute to the development and optimization of electrolyte formulations tailored for high silicon-based battery projects, emphasizing enhanced performance, safety, and stability.

· Integration of Silicon Anodes: Collaborate within multidisciplinary teams to effectively integrate high-capacity silicon anodes into battery systems, addressing challenges related to volume expansion, cycling stability, and interface engineering.

· Experimental Design and Analysis: Design and execute experiments using coin and pouch cell configurations to evaluate and iterate on electrolyte performance. Analyze data to inform the enhancement of battery characteristics.

· Collaborative Research Initiatives: Work closely with cross-functional teams, including materials scientists, physicists, and mechanical engineers, to drive innovation in battery technology. Contribute actively to the advancement of solid-state battery research.

· Documentation and Reporting: Maintain meticulous records of experimental procedures, results, and analysis. Prepare technical reports and presentations contributing to scientific publications or patents.

Requirements:

· Bachelor's degree or higher in Material Science, Physics, Mechanical Engineering, or related fields.

· Proficiency in electrolyte chemistry and its significance in battery performance.

· Strong grasp of battery materials, with a focus on high silicon-based projects.

· Prior experience or demonstrable skills in experimental design and hands-on work with coin or pouch cell fabrication and testing.

Preferred Skills:

· Prior exposure in Project & R&D laboratory setting

· Experience or exposure to solid-state battery technology and solid electrolytes.

· Familiarity with software tools for data analysis and simulation in battery research.

· Any prior experience in industrial R&D, especially in battery or energy storage-related projects, would be advantageous.

· Knowledge or exposure to characterization techniques (e.g., impedance spectroscopy, SEM, TEM, X-ray techniques) is advantageous but not mandatory.

This role offers an exciting opportunity to contribute to cutting-edge research in battery materials, particularly in harnessing the potential of high silicon-based projects and advancing the development of next-generation solid-state batteries. Join us in shaping the future of energy storage technology!

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

Working location: Raffles Place

Target start date: Immediate or less than 1 month notice

Responsibilities:

• Coordinate Global Marketing Science activities and operations to secure efficiency and compliance with company policies that includes contract management and payments processing.
• 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 and business trips.
• Manage complex calendar.
• Project manage Marketing Science on-boarding initiatives.
• Plan and execute team offsites and strategic planning sessions.

Requirements:

• 5 years experience in Procurement Processing (PR/PO), Contract Management, Admin Support and Complex Calendar, project coordination role.
• 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.

Please contact Terence at +65 9645 4048 your resume directly for fast response.

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