Responsibilities:

• Client & Branding
• Act as brand ambassador, deliver excellent client experience.
• Represent brand image and promote collections with strong product knowledge & storytelling.
• CRM
• Build and maintain long-term client relationships.
• Sales
• Drive to achieve sales targets and KPIs.
• Operations
• Adhere to operational processes (cash register, stock, visual merchandising).
• Carry out other assigned duties.

Requirements:

• Min. 1 year experience in fashion retail (ready-to-wear preferred).
• Client-focused and passionate about fashion.
• Energetic, positive, and approachable.
• Sales-driven, target-oriented, able to work under pressure.
• Basic MS Office skills.
• More experienced candidates may be considered for Senior Sales Associate.

______________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact win@hkmsvs.com for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Requirements:

• Excellent ethics and positive learning attitude

• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)

• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm

• Lead and drives a team towards a common goal

• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system Performance based

• BUSINESS ADVANCEMENT

• Highly motivated, FUN and FAMILY-liked environment

• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE!

We regret to inform you that only shortlisted candidate will be notified.

1. Customer Service

• Greet and assist customers in a friendly and professional manner
• Understand customer needs and recommend suitable products
• Handle customer inquiries, feedback, and complaints effectively

2. Sales & Store Performance

• Achieve individual and team sales targets
• Promote ongoing promotions, new arrivals, and upsell products
• Maintain strong product knowledge to drive sales

3. Store Operations

• Process transactions accurately using POS systems (cash, card, digital payments)
• Handle cash, refunds, and exchanges in accordance with company policies
• Assist with opening and closing procedures

4. Merchandising & Visual Display

• Ensure products are well-stocked, organized, and visually appealing
• Replenish shelves and manage inventory levels
• Support visual merchandising and in-store displays

5. Inventory Management

• Assist in stock receiving, tagging, and stock counts
• Monitor stock levels and report discrepancies
• Maintain proper storage and stockroom organization

6. Store Maintenance & Compliance

• Ensure cleanliness and tidiness of the store at all times
• Adhere to company policies, SOPs, and safety guidelines

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Responsibilities:

• Greet and register patients
• Schedule patient appointment
• Coordinate specialists' consultation referrals
• Handle payments and respond to patient enquiries in a courteous and professional manner
• Manage patient concerns, ensuring timely resolution and escalation when necessary
• Communicate effectively with patients to provide a high level of customer service
• Will be stationed at Health monitoring station based on roster. Involved in taking height / weight and blood pressure for patients at Health monitoring station

Requirements:

• Minimum GCE ‘N’ level
• No exp needed, training provided
• Healthcare experience will be an advantage but not compulsory

$2500 (Fixed salary)

Interested candidates, please forward your resume to jalenetan@recruitexpress.com.sg

Consultant: Jalene Tan (R26160390)
Recruit Express Pte Ltd (99C4599)

[Job ID: 1491681]

About the Role:

We are seeking a Commercial Real Estate finance professional to join our Debt Management Consulting team. You will work with institutional investors (sovereign wealth funds, real estate private equity firms, asset managers) to help them manage their debt portfolios using our proprietary risk management platform. This is not a back-office role—you will apply your front-office lending expertise to interpret complex loan documents and structure data into actionable digital models.

Responsibilities:

• Review and interpret commercial real estate loan documents to extract key terms (covenants, interest rates, maturities, prepayment provisions).
• Translate unstructured loan data into structured, accurate digital models within our SaaS platform.
• Partner with clients to understand their investment strategies and financing structures.
• Design workflows to track covenant compliance, loan reporting, and portfolio analytics.

Requirements:

• 3+ years of direct experience in commercial real estate lending (bank, private credit, or real estate investment firm).
• Strong understanding of loan structures, documentation, and underwriting.
• Ability to interpret complex legal loan documents accurately.
• Advanced proficiency in Microsoft Excel.
• Strong attention to detail and analytical skills.
• Front-office lending experience (deal underwriting and loan structuring).
• Background in real estate turnaround & restructuring or debt valuation.

What our client offer:

• Full training on our proprietary platform (including 1-week in-person training in London or Chennai).
• Close mentorship and collaborative team environment.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Cesky Ong Zhi Rong

EA Personnel Registration Number: R24121422

EA License No.: 07C5771

Duration:

1. ASAP till Feb 2027

2. Oct 2026 - Apr 2027

Working hours:

Mon- Fri 8am – 5pm and 11am – 8pm, Sat 8am – 5pm (one weekday and Sunday off)

Job Scope:

• Conduct bedside financial counselling to patient/NOK, detailing estimated hospital charges, applicable subsidies and available financial assistance programs.
• Assist patients to complete the various mode of payment forms.
• Facilitate the collection of deposits and outstanding balances from inpatient accounts, adhering to hospital policies
• To be able to explain and advise patient/NOK regarding various national healthcare forms, their requirements and necessary supporting documentation needed

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

Job description:

• Contact vendors via email or phone calls to verify and obtain the correct email addresses to send invitation email to them.
• Follow up with vendors who have not responded to invitations or onboarding request.
• Any other duties as assigned

Requirements:

• Good communication skills, both written and verbal with the ability to follow up on tasks in a timely manner.
• Basic proficiency in email and MS office
• Minimum GCE A Level / Diploma in any fields

Interested candidates, kindly send a copy of your resume to: healthcare7@recruitexpress.com.sg

Jessica Fong Zhi Tong [R1879124]

Email Address: healthcare7@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No: 99C4599

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.

Grow into a Brand Marketer Through Hands-On Experience!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.

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

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

Duties and Responsibilities

• Assist in data gathering for new product specifications.

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

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

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

• Establish product specifications and documentations.

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

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

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

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

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

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

• Suggest changes to new food production processes.

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

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

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

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

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

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

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

Duties and Responsibilities

• Assist in data gathering for new product specifications.

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

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

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

• Establish product specifications and documentations.

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

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

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

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

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

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

• Suggest changes to new food production processes.

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

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

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

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

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

We regret that only shortlisted candidates will be notified.

Job Description

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

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

About the Job

We are looking for motivated candidates to join a vibrant and collaborative team of scientists and engineers in the Advanced Manufacturing & Semiconductor Division (AMS) at the Institute of High Performance Computing (IHPC), A*STAR. The successful candidate will contribute to research and development in physics-based modelling and scientific machine learning for semiconductor packaging reliability and multiphysics systems. This research explores new computational paradigms that integrate finite-element modelling, multiphysics simulations, and machine learning techniques to enable predictive modelling and accelerated analysis of complex physical systems relevant to advanced semiconductor packaging technologies. These include thermo-mechanical reliability of electronic packages, stress evolution in heterogeneous material systems, interfacial failure mechanisms, and process–structure–property relationships in packaging materials and architectures. You will work on R&D projects spanning fundamental methodology development and application-driven research, with opportunities to collaborate with interdisciplinary teams and industrial partners in the semiconductor ecosystem.

The key scope of work includes

• Integrating finite-element simulations and physics-based models with machine learning approaches for predictive reliability analysis.
• Developing data-driven surrogate models and reduced-order models for thermo-mechanical behaviour in electronic packaging structures.
• Developing high throughput computational workflows that combine multiphysics simulations, data analytics, and machine learning techniques.
• Contributing to the development of AI-enabled predictive frameworks for semiconductor packaging reliability and performance.
• Publishing research outcomes in leading journals and conferences in computational mechanics, semiconductor packaging reliability, and scientific machine learning.
• Collaborating with internal research teams, industry partners, and affiliated institutes on interdisciplinary R&D projects.

Job Requirements

• PhD degree in Mechanical Engineering, Computational Mechanics, Applied Mathematics, Computational Physics, or related disciplines.
• Strong background in numerical simulation and multiphysics modelling, particularly finite-element modelling of thermo-mechanical processes.
• Experience in modelling mechanical and thermal behaviour of materials and structures.
• Experience in data-driven modelling or machine learning approaches for physical systems.
• Strong programming skills in Python, MATLAB, or FORTRAN, with experience in scientific computing environments.
• Experience with simulation tools such as ABAQUS, ANSYS, COMSOL, or other multiphysics simulation platforms is advantageous.
• Experience with high-performance computing or large-scale simulations is an advantage.
• Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.

We particularly welcome early-career researchers who are passionate about advancing AI-driven modelling and predictive simulation technologies for semiconductor packaging reliability and multiphysics engineering systems.

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.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• 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.

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