Total 2,411 Others level Science / R&D / Research job vacancies

Job Description

We are seeking highly qualified and experienced IB Mathematics and Science Instructors to join our academic team in Singapore. The ideal candidates will have a strong academic background and proven experience teaching International Baccalaureate (IB) programmes, delivering rigorous and engaging lessons that support students in achieving top academic outcomes.

Key Responsibilities

• Deliver high-quality instruction for IB Mathematics, Physics, and/or Chemistry (MYP / DP levels)
• Prepare students for IB internal assessments (IA), extended essays (EE), and final examinations
• Design and adapt lesson plans aligned with IB curriculum standards and assessment criteria
• Provide targeted academic support, including exam strategies and concept mastery
• Monitor student progress and deliver detailed, data-driven feedback
• Conduct small group classes and one-on-one sessions
• Contribute to curriculum development and academic excellence initiatives

Requirements

• Bachelor’s degree in Mathematics, Physics, Chemistry, or a related field (Master’s degree preferred)
• Minimum 3 years of teaching experience in IB programmes or equivalent international curricula
• Strong familiarity with IB syllabus, assessment criteria, and grading standards
• Proven track record of helping students achieve strong academic results
• Excellent command of English (spoken and written)
• Strong analytical, communication, and classroom management skills
• Ability to teach high-achieving students in a rigorous academic environment

Preferred Qualifications

• Experience teaching IB Diploma Programme (DP) students
• Familiarity with Higher Level (HL) subjects
• Experience guiding students in Internal Assessments (IA) and Extended Essays (EE)
• Teaching certification (e.g., PGCE, QTS, or equivalent)
• Experience in international schools or premium academic institutions

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-Fellow-%28Supply-Chain-Management%29/32507-en_GB/

We regret that only shortlisted candidates will be notified.

Job Role/ Core Capabilities

• Experience with logistics and supply chain processes, including transport operations, fleet management, and operational readiness frameworks
• Model & Algorithm Development: Design, build and implement optimisation models for various transportation contexts, and machine learning classifiers
• Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions for large-scale, real-world problems. Utilise commercial and open-source solvers (e.g., Gurobi, CPLEX, Google OR-Tools).
• Formulate and solve Mixed-Integer Linear Programmes (MILP) for real-time vehicle–task assignment including objective function design and constraint modelling
• Design, implementation, and delivery of simulation data science solutions to perform system-of-systems discrete event simulations for significantly complex operational processes (e.g., AnyLogic, AnyLogistix, FlexSim, Arena, Demo 3D, etc.)
• Data Analysis & Feature Engineering: Analyse historical and real-time data from multi-source inputs
• Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
• Machine Learning & AI: Train, evaluate, and deploy supervised classification models (e.g., XGBoost, LightGBM), design ensemble pipelines combining rule-based, probabilistic, and ML components; apply explainability tools (e.g., SHAP, LIME) to produce interpretable, auditable decision outputs
• Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency

Requirements

Education

• PhD in industrial engineering, Operations Research, Computer Science, Operations Research or an equivalent field

Experience

• Min 1–2 years of experience in logistics and supply chain management
• Experience in research or applied engineering environment delivering optimisation, simulation, or decision-support systems for operational contexts
• Track record of end-to-end model delivery: problem formulation: data pipeline, algorithm design, implementation, validation, stakeholder communication

Technical Skills

• Experience or familiarity with optimisation packages such as Gurobi, CPLEX, OR-Tools, and Python PuLP for MILP formulation and solver configuration
• Experience or familiarity with simulation tools such as AnyLogic, AnyLogistix, FlexSim, Arena, AIMMS, Demo 3D or similar tools
• Proficiency in Python including pandas, numpy, scipy, scikit-learn, XGBoost, PuLP/OR-Tools, and pytest; proficiency in SQL for data queries and operational log extraction
• Experience with MS Power BI, Tableau
• Familiarity with MLflow or equivalent experiment tracking tools for ML retraining pipelines
• Proficiency in MS Office

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Zhong group is pursuing development of new generations of transition metal catalysts for asymmetric catalysis and C-H functionalization. The candidate should have a BS/MS degree in chemistry with prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions. The candidate should possess analytical skills including NMR, GC/HPLC, mass spec, etc, as well as experience in handling air-sensitive compounds with Schlenk techniques or glovebox.
 

Key Responsibilities: 

• Assist in routine lab research and data analysis in organic chemistry and organometallic chemistry.

• Assist in instrument maintenance, and acquisition of chemicals, lab supplies and consumables.

• Present research progress in group meetings and private meetings.

Job Requirements: 

• BS in chemistry

• Prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions.

• Analytical skills including NMR, GC/HPLC, mass spec, etc.

• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

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

We regret that only shortlisted candidates will be notified.

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-Engineer-%28Wave-Overtopping%29/32491-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position supports Work Package 1 (WP1) experimental studies of wave overtopping over Singapore-relevant coastal protection structures for local design guidance.

The successful candidate will be required to:

•     Conduct scaled physical model tests at NUS for revetments, promenades, and vertical walls
•     Measure and analyse q, Vmax, flow depth/velocity, crest pressures, and related loads; quantify uncertainty; and derive local   empirical relationships aligned with EurOtop
•     Support WP1 reports/publications and provide validation data and hydraulic inputs to other work packages.

Job Requirements

•    Possess at least a bachelor’s degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Mechanical Engineering, or a closely related discipline.
•    Masters degree will be preferred. 
•    Strong background in physical modelling of coastal/free-surface flows or wave-structure interaction.
•    Experience with hydraulic laboratory experiments, instrumentation, and data analysis.
•    Proficiency in Python, MATLAB, or similar; prior wave overtopping/coastal structures experience is advantageous.
•    Has prior strong publication records and independence.
•    Excellent written and verbal communication skills.
•    Open to fixed-term contract.  

JOB DESCRIPTION :

• Bake Banh Mi from scratch, make other Vietnamese flour-based products eg. Pau
• Mix, prepare and bake bread and pastries.
• Prepare ingredients.
• To be responsible for the bakery’s day to day operations.
• To be able to read and follow recipes.
• To ensure that all baked goods are produced according to SOP(s).

REQUIREMENT:

• Familiar with baking Banh Mi from scratch.
• Able to make other Vietnamese flour-based products eg. Pau
• Ability to work in hot, hectic environment, stand, walk, bend, use hands and appliances, and lift heavy items for extended periods.

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-Fellow%2C-Computer-Science-%28School-of-Computing%29/32522-en_GB/

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 (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills

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-Fellow-%28Bayesian-Inference-&-Genomic-Epidemiology%29/32501-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public
Health seeks a Research Fellow with deep expertise in Bayesian statistical modelling and genomic
epidemiology to contribute to methodological and applied research across several funded
programmes. Core themes include the integration of genomic, serological, and epidemiological
data into unified Bayesian frameworks; real-time inference of transmission dynamics and variant
fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across
South and South-East Asia.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public
Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the
National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network
(MLGH), and wider regional and global partners.

Key Responsibilities
• Develop and extend Bayesian semi-mechanistic renewal equation models for estimating
genotype-specific reproduction numbers and immune escape.
• Build scalable inference pipelines integrating genomic (phylogenetic/lineage) data with
epidemiological surveillance streams.
• Apply and extend deep generative modelling approaches (e.g. normalising flows,
variational inference) to handle large-scale pathogen genomic datasets.
• Contribute to real-time dashboards and toolkits for arbovirus genomic surveillance (DENV,
ZIKV) across the region.
• Publish findings in high-quality peer-reviewed journals; present at international
conferences.
• Co-supervise Research Associates and Research Assistants; contribute to grant writing
and reporting.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational epidemiology, bioinformatics, or related field.
• Strong hands-on experience with probabilistic programming (Stan, PyMC, NumPyro,
Turing, or equivalent).
• Proficiency in Python and/or R; experience with JAX or similar autodiff frameworks is
advantageous.
• Familiarity with at least one of i) phylodynamic methods (BEAST, IQTREE, or equivalent),
ii) lineage classification frameworks, and iii) renewal equation or compartmental
transmission models.
• Track record of peer-reviewed publications.
• Strong quantitative and coding skills; ability to work in collaborative, multi-institutional research settings.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

The National Institute of Education invites suitable applications for the position of Research Fellow on an 8-month contract at the Centre for Research in Child Development.

Project Introduction:

The Centre for Research in Child Development (CRCD) is a leading research centre dedicated to advancing understanding of child development and early education. CRCD conducts multi-project research to generate high-quality evidence that informs policy, practice, and innovation in the early childhood sector.

We are seeking a Research Fellow to support CRCD’s research initiatives by contributing to the secondary analysis of existing research datasets to address viable research questions on classroom quality. This role also involves assisting in the preparation of research funding proposals and facilitating the effective start-up of related research project teams. The position offers an excellent opportunity to work with rich datasets and contribute to impactful research in a collaborative and dynamic environment.

Requirements

• PhD in Education, Psychology, Child Development, Statistics, or a related field.

• Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling).

• Expertise in classroom observation video coding will be highly advantageous.

• Familiarity with classroom quality frameworks or early childhood education research is essential.

• Experience contributing to competitive research grant projects, especially projects incorporating longitudinal designs or classroom observation, is desirable.

• Strong analytical, critical thinking, and problem-solving skills, with excellent academic writing ability.

• Excellent organisational and project management skills, with the ability to manage multiple tasks and collaborate effectively with diverse stakeholders.

Responsibilities

• Conduct horizon scanning on emerging developments (e.g., AI in education, new early childhood risks, and international trends) and synthesise their implications for CRCD’s research directions, partnerships, and funding opportunities.

• Conduct exploratory and longitudinal analyses of existing datasets to uncover viable research questions and examine patterns, variability, and relationships between classroom quality and child development outcomes.

• Collaborate with relevant researchers and stakeholders to draft high-quality research funding proposals - integrating literature reviews, methodology sections, and other supporting materials - leading to submission.

• Support the planning and set-up of new research project teams, including facilitating early-stage project activities and onboarding of team members. 

• Explore, pilot, and document technology-enabled research processes (e.g., AI-assisted literature scanning and synthesis tools), and support Centre Management in developing improved workflows to enhance CRCD’s research efficiency.

• Any other research-related responsibilities assigned by Centre Management.  

Application

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

Workday Job Requisition ID: R00024148
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Centre-for-Research-in-Child-Development---NIE-_R00024148)

Closing Date

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

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking an Expert R&D Software Engineer to lead the design and development of advanced AI-powered applications, driving end-to-end architecture across frontend, backend, and AI/ML systems. This role requires deep technical expertise to define system architecture, guide implementation, and ensure scalability, reliability, and performance of complex, production-grade solutions.

You will lead the integration of AI/ML capabilities, including large language models (LLMs) and advanced inference systems, into enterprise applications, while architecting robust data pipelines for large-scale data processing and AI-driven features. In addition to hands-on development, you will play a key role in shaping technical direction, establishing best practices, and mentoring engineers, operating as a technical authority within a fast-paced R&D environment.

Key Responsibilities

· Lead architecture and design of end-to-end AI-powered full-stack systems, spanning frontend, backend, and data/ML layers

· Define and drive technical strategy for integrating AI/ML capabilities into scalable, production-grade applications

· Design complex, high-performance frontend systems and user experiences for AI-driven workflows

· Architect and oversee scalable backend services, APIs, and distributed systems

· Establish and optimize data pipelines for large-scale ingestion, processing, and AI model integration

· Ensure system-wide performance, scalability, reliability, and security across the full stack

· Provide technical leadership across teams, guiding design decisions, code quality, and engineering standards

· Mentor senior and junior engineers, fostering technical growth and best practices

· Collaborate with product, R&D, and leadership to translate business needs into technical solutions and roadmaps

· Drive rapid prototyping and experimentation while ensuring a path to production-quality systems

· Lead adoption of modern engineering practices (CI/CD, observability, MLOps, cloud-native architecture)

· Evaluate and introduce new technologies, frameworks, and AI approaches to advance product capabilities

Qualifications

Must-Have Qualifications

· Master’s or PhD in Computer Science, Software Engineering, or a related field, with 8–12+ years of experience in software engineering, including significant full-stack development

· Proven track record of architecting and delivering large-scale, production-grade systems with full-stack ownership

· Deep expertise in frontend (React, Vue, or similar) and backend technologies (Python, Node.js, Java, or equivalent)

· Strong experience integrating AI/ML systems (e.g., LLMs, inference services) into real-world applications at scale

· Demonstrated success building scalable data pipelines, including summarization/information extraction and anomaly detection or predictive models on structured/time-series data

· Strong knowledge of system design, distributed systems, and software architecture principles

· Experience with cloud platforms (AWS) and cloud-native architectures

· Strong leadership, mentorship, and cross-functional collaboration skills

· Experience working in R&D or highly ambiguous environments, with the ability to drive from concept to production

· Fluency in English, including technical communication

Strongly Preferred

· Experience leading technical architecture across multiple teams or large-scale systems

· Hands-on experience with generative AI, LLM orchestration, and agent-based systems

· Experience with advanced frontend architecture for complex, data-rich or AI-driven applications

· Expertise in containerization and orchestration (Docker, Kubernetes) and scalable distributed systems

· Experience with streaming systems, real-time data pipelines, and event-driven architecture

· Familiarity with MLOps practices, model monitoring, and evaluation frameworks

· Experience with Model Context Protocol (MCP) or similar frameworks for standardized AI system integration

· Track record of driving innovation, introducing new technologies, or influencing engineering strategy at an organizational level

Working Hours

• Rotating 3-shift schedule (Morning / Afternoon / Night)
• Actual shift pattern will be assigned by the department

Responsibilities

• Perform laboratory tests and analyses in accordance with established protocols
• Prepare and process clinical specimens for diagnostic testing
• Operate and maintain laboratory equipment and instruments
• Ensure accuracy and reliability of laboratory results
• Maintain proper documentation and records of laboratory procedures
• Comply with laboratory safety standards and infection control protocols
• Support quality assurance and laboratory operational activities

Requirements

• Diploma in Biomedical Science / Biotechnology / Chemistry or related field

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

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

Email : kimlow@recruitexpress.com.sg

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

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

• Location: Singapore
• Employment Type: Full-time / Perm
• Client: Banking & Financial Services
• Department: Retail Banking – Consumer Lending

Job Overview:

We are seeking a dynamic and results-driven Credit & Loan Sales Associate to join our retail banking team. You will be responsible for promoting and cross-selling a suite of unsecured credit products such as personal loans, credit lines, and credit cards to customers through various channels. This role involves proactive outreach, needs-based selling, and ensuring compliance with the bank’s regulatory and service standards.

Key Responsibilities:

• Acquire new customers and generate sales for personal loan and credit card products through direct sales, telesales, roadshows, or digital platforms
• Conduct needs-based financial assessments to recommend suitable loan solutions to customers
• Explain product features, loan terms, and repayment schedules clearly and professionally
• Support customers in the application process, including submission of documentation and credit evaluation
• Meet monthly individual and team sales targets
• Maintain a high level of customer service and relationship management
• Ensure compliance with MAS regulations, internal policies, and fair lending practices
• Participate in promotional activities and marketing campaigns organized by the bank

Requirements:

• Minimum GCE ‘A’ Level, Diploma, or Degree in any discipline
• Prior experience in sales, preferably in banking, insurance, or financial services is an advantage
• Good communication and interpersonal skills
• Sales-driven with strong motivation to achieve performance targets
• Ability to handle rejection and maintain resilience
• Bilingual in English and a second language is advantageous (to liaise with a diverse customer base)
• CMFAS certifications (e.g., M5, M9, M9A) will be a plus, but not mandatory for unsecured lending products

Benefits:

• Competitive basic salary with high commission potential
• Structured training and mentorship
• Opportunities for career advancement into Relationship Manager or Wealth Advisory roles
• Medical, dental, and annual leave entitlements
• Dynamic and supportive team environment

-        Provide first level of support for our clientsthe trouble shooting or all systems, database, network and telecommunicationinfrastructure problems.

-        Attend to on-site assignment to perform

-        Setup, Installation of IP Cam & Network Video Recorder

-       Strong expertise in Microsoft Windows Server,Active Directory, DNS/DHCP, and virtualization (VMware/Hyper-V)

-        Proficientin networking (TCP/IP, VLAN, routing, switching, firewall, VPN) andinfrastructure troubleshooting

-       Hands-on experience with IP CCTV systems, NVR, Dooraccess, and VMS platforms (e.g., Milestone, Genetec, )

-       Solid end-to-end deployment skills for servers, surveillancesystems, storage (NAS/SAN, RAID), and integrations

-       Excellent troubleshooting, client coordination, andteam training/mentoring capabilities

-        Setup, Installation of Video Management system/ AnalyticSoftware onto Server / Client.

-        Setup & Installation Microsoft Servers.

-        Responsible to train and guide maintenance team aftercompletion of project for maintenance

-        Provide first level of support for our clientsfor the trouble shooting or all systems, database, network, andtelecommunication infrastructure problems.

-        Perform day to day operations and troubleshooting

-        Co-ordinate the tasks requested by clients onproblem resolution of all IT services

-        Works with all facets of the business and hascross functional responsibilities for IT and Management as well as externalpartners in making sure that the information technology infrastructure is fullyoperational

-        Liaise with clients, vendors, contractors andsub-contractors

-        Support and response to Ad-Hoc service jobs

-        Support standby required for 24*7 during dutyweek

-        Good self discipline

-        Driven and motivated

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

• Assist in the scoping, preparation, review, and completion of the IPCC Special Report on Cities and Climate Change as well as the Working Group II Assessment Report of the 7th Assessment Cycle and play a key role in ensuring the scientific integrity and quality of the reports.
• Support the planning, conducting, and reporting for the meetings and sessions organized by Working Group II, including IPCC Workshops and Expert Meetings and contribute to the scientific aspects of these meetings and sessions to facilitate informed decision-making.
• Contribute to the development and implementation of scientific plans related to the activities and products of the Working Group II for the duration of the 7th Assessment Cycle, including the Technical Guidelines for Assessing Climate Change Impacts and Adaptation Including Indicators, Metrics and Methodologies.
• Assist in the reporting process for the scientific outcomes of meetings, sessions, and other relevant activities.
• Provide scientific support in the development of outreach materials related to the activities of the Working Group II and contribute to the creation of materials that effectively communicate scientific findings to various stakeholders.
• Any other duties as assigned.

• Recent PhD holder or Masters' degree in climate change impacts, adaptation, and/or vulnerability , with at least 2 years of work experience after conferment of Masters' degree.
• Scientific publications related to climate adaptation (or on Working Group II-related topics) in refereed journals.
• Experience working in a multi-cultural and multi-disciplinary team.
• Experience in scientific report writing and editing.
• Ability to plan, organize and execute complex multi-task workloads.
• Proficient in oral and written English at the academic publishing level.
• Excellent communication and interpersonal skills and capability to interact with international science and stakeholder community.
• Stress-resistance and ability to work precisely and effectively under time constraints.
• Willingness to travel internationally for meetings and workshops frequently.
• Experience working with UN processes, in particular the IPCC, would be an asset.

#LI-LK1

Job Description:

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes as and when required.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.

Job Description:

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes as and when required.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.