Responsibilities

Respond to enquiries via email or phone for room booking promptly

Coordinate and communicate with operations department for guest special requests to ensure smooth operations

Input reservation information into system

Manage corporate and group bookings

Ensure correspondence are replied within 24 hrs

Follow up and monitor on advance deposits or prepayment

Promote and upsell of rooms to increase revenue

Requirements

NITEC or higher qualification

Relevant working experiences in hospitality or travel agency

Excellent interpersonal and communication skills

Able to multi-task and strong time-management

Some knowledge in using Opera Cloud

The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

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.

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

The successful candidate will join a multi-disciplinary team developing methods for the experimental synthesis of reticular materials. The vision of the team is to automate the discovery and synthesis of materials with properties that are tuned for specific applications. This position requires close collaboration with other teams, necessitating a multi-skilled individual capable of working effectively in a multidisciplinary team environment.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Good command of English and formal writing - for research work purpose
• Adaptable and able to multi-task
• Proficient in MS office applications.

We regret to inform that only shortlisted candidates will be notified.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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

Responsibilities

The Research Analyst will primarily be responsible for generating investment ideas in his/her assigned area of market coverage, and communicating these ideas to the investing public predominantly through original research articles and presentations.

• Conduct fundamental research within assigned area of market coverage using publicly available information sources, including financial statements, company annual reports, published research, and online databases
• Generate high-conviction investment ideas (including stocks, unit trusts, and ETFs) across various geographical markets and/or sectors. Work with other members of the research team to evaluate a comprehensive range of active and passive products.
• Communicate these ideas to the investing public, as well as internal stakeholders, through various channels, including original research articles and seminar presentations.
• Participate in discussions and contribute ideas to portfolio decision-making within the team’s disciplined investment process.
  

Requirements

• Bachelor degree holder in a related discipline (accountancy, finance or business administration), preferably with at least one year of investment research experience. Fresh graduates with the right aptitude and attitude are welcomed to apply for this position.
• Strong analytical skills, with a deep understanding of financial statements and equity valuation methodologies. Able to distil large amounts of information into an investable thesis.
• Excellent command of both spoken and written English, with a great story-telling ability.
• Demonstrated interest in and passion for investing
• Able to multi-task and meet constant deadlines

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Experience in formal writing in English - for research work purposes
• Adaptable and able to multi-task
• Proficient in MS office applications

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

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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 Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

• Conduct literature reviews

• Request or acquire equipment or supplies necessary for the project

• Manage and respond to project-related email

• Track research progress over time

• Prepare, maintain and update research shared drive

• Attend project meetings and other meetings as necessary to represent the project team

• Summarize project results

• Prepare progress reports

• Prepare other articles, reports and presentations

• Monitor the project budget

• Assist in preparing instruments and protocols for data collection

• Assist in recruiting subjects and liaising with both internal and external departments

• Develop or assist in the development of quantitative survey instruments and to coordinate the logistics of implementing and collating the data.

• Travel to field sites to collect and record data and/or samples as appropriate to the specific objectives of the study

• Review and clean data to ensure completeness and accuracy of information; follow up with subjects to resolve problems or clarify data collected

• Maintain accurate records of survey, safeguarding the confidentiality of subjects, as necessary

• Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary

• Provide ready access to all project related data for the faculty researcher and the project team

• As appropriate to the specified position, code and verify data in accordance with specified research protocol and coding procedures and enter data into a computer database and/or spreadsheet application for subsequent analysis

• May lead or guide the work of part-time employees

• Perform miscellaneous job-related duties as assigned

• Assist in preparing findings for publication

• Assist in writing and contributing to publications

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON,

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

Job Description:

• Handle the full spectrum of Accounts Payable
• Ensure timely and accurate month-end and year-end financial closing for Accounts Payable
• Timely posting of purchase-related transactions includes checking and verifying supplier invoices and ensuring the invoices are endorsed by the respective department with the correct account code
• Responsible for the accurate preparation of outgoing payment and payment voucher
• Posting of manual journal entries for staff claims
• In charge of the reconciliation of vendor aging report and supplier’s SOA
• Perform month-end intercompany reconciliation
• Perform monthly bank reconciliation
• Maintain proper filing system and other ad-hoc duties assigned

Requirements:

• Must have at least a Diploma in Accountancy/ LCCI or equivalent qualification
• Fresh Graduates welcome to apply
• Minimum 1 year of working experience in Accounts Payable function or equivalent preferred
• Experience in IT industry is preferred
• Must be able to multi-task and to meet tight deadlines
• Independent and self-motivated
• Experience with MS Dynamics 365 is an advantage

• Plan and carry out preventive maintenance throughout the hotel to ensure that standards are maintained for guest comfort.
• Assist the Chief Engineer in the general administration, training and coaching within the department.
• Ensure the smooth daily operation in the department through supervision, delegation of duties and coordinate all engineering activities within the Hotel.
• Ensure the preventive/ corrective maintenance for all the hotel’s facilities are done promptly.
• Conduct routine checks and log data of all facilities, following up on faults and repair works if required.
• Perform property/ room preventive maintenance inspection and update.
• Perform incident investigation and prepares report.
• Source for quotations and prepare purchase requisitions for spare parts and repair works.
• Maintain the tidiness of the store, workshop and check on the tool inventory.
• Ensure that all spare parts are available for use whenever required and proper storage of supplies & materials.
• Maintain fire-fighting facilities and equipment in compliance to the Fire Safety regulation.
• Perform regular energy/ defect analysis and be involved in energy management.
• Keep up to date on safety-related administrative documents.
• Ensure his/her own safety and the safety of others during interventions and those of the external service providers.
• Be available to carry out emergency maintenance work outside of normal working hours, as required for: full power failure, evacuation fire system re-set and / or failure of mechanical systems.
• Maintain records of repair work and daily checks as required by the local Council, § Government and Manufacturer specifications.
• Support the co-ordination of safety and security/risk management programs via third party providers
• Work with the operational Department Heads team to ensure InterREACT tracking and compliance
• Ensure health, safety and welfare of all ambassadors is provided for through implementation of integrated occupational safety and health program.
• Ensure the external areas of the hotel are neat and tidy and maintained in line with Company brand standards.
• Strive to honour the Accor Vision and demonstrate active use of Accor Values.
• Any other reasonable request within your range of competence as required by Management.

Key Responsibilities

Plan and schedule transportation routes for individuals, groups, or cargo

Coordinate transportation activities with drivers, dispatchers, and other transportation personnel

Ensure compliance with safety regulations and standards

Monitor transportation logistics to ensure on-time delivery and minimize delays

Address and resolve transportation-related issues and emergencies

Maintain transportation records and documentation, including invoices and bills of lading

Required Skills

Excellent organizational and planning skills

Strong communication and interpersonal abilities

Proficiency in using transportation management software and tools

Ability to work well under pressure and adapt to changes in schedules or routing

Knowledge of transportation regulations and compliance requirements

Strong problem-solving skills and the ability to think creatively and analytically

1. JOB DESCRIPTION

Receiving goods from contractor/supplier.

To ensure that cargo received are in good condition, weight and dimension of cargo is accurate.

Packing of cargo when needed.

Collecting cargoes in the vicinity when required.•

Pick, pack & label shipments.

To ensure accurate receipt & release of goods with accurate documentation.

Support Import / Export / Delivery functions when needed.

To lodge-in cargo from warehouse to terminals (airline warehouse)

2. JOB REQUIREMENT

Able to read and write simple english.

Forklift driving permit a bonus.

Physically fit as manul labour required.

Posses class 4 driving license.

Roles & Responsibilities

Scope :

All finance and accounting matters relating to our business.

Accountabilities/Responsibilities :

-Maintaining accurate and up-to-date records of financial transactions, including accounts payable and receivable, general ledger entries, and bank reconciliations.

-To prepare invoices for reporting.

-Preparing all Final Disbursement Accounts (FDA) accurately and within deadlines.

-Prepare and arrange 'Cash To Master (CTM)' with vendors.

-Process payment to suppliers and staff reimbursement.

-Prepare monthly AP journals, postings and schedules.

-Any other adhoc tasks as assigned by your immediate supervisor

Skills and Qualifications :

Proficient in Microsoft Excel and D365

Numerical Skills and attention to details

Diploma in Accountancy or its equivalent

Responsibilities

· In-charge-of Purchasing Functions, sourcing, recommending and negotiating of/with suppliers

· Procurement of correct quantity and quality of goods to maintain continuous operation at the same time keeping the inventory at the lowest safe level.

· Ensure timely delivery and constant monitoring of all outstanding orders.

· Conduct yearly reviews with key suppliers.

· Establishing agreements for key commodities.

· Establishing and maintaining good communication with all departments to ensure efficient communications.

· Compile purchasing cost saving report

· All Purchasing related administrative work

Requirements

· Diploma in Engineering or O Level with 3 to 5 years of relevant experience in manufacturing environment.

· Possess outstanding interpersonal and strong negotiation skills, ability to work independently.

· Experience in vendor quality management and practices in purchasing & inventory management.

Roles & Responsibilities:
Join our team and be a part of an environment that fosters career growth, accompanied by a range of attractive benefits and incentives.

Job Highlights:

• Good Career Prospects
• Competitive Salary Packages
• Incentives

Job Descriptions:

1. Provide customer service for residents, visitors, and/or guests.
2. Write accident and incident reports for any suspicious activities or safety hazards.
3. Check IDs and manage who enters the building.
4. Walk around regularly to look for any problems or suspicious activity.
5. Act quickly and appropriately in emergencies to protect people and property.
6. Help tenants and visitors with questions or directions.
7. Write down any incidents or unusual events and escalate to the right people.
8. Keep in touch with other security staff and management.
9. Make sure safety rules are followed and help in emergencies.

Job Details:

• Working Hours: 0730hrs to 1930hrs
• Location: CBD

Salary Packages:

• Full-time: Up to $2,800.00/- (5.5 days work week)

Benefits:

• Good Career Progression
• Comprehensive Annual and Medical Benefits

Contact Information:

For more information or to express your interest, please contact:

• Recruitment: +65 90078899

You are also welcome to walk in for interviews during office hours (Mon to Fri, 9 am to 5 pm) at No.2 Sims Close, #05-05 Gemini Sims, Singapore 387298.

• Ensure the quality and quantity of food/ logistics items before delivery.
• Loading/ unloading catering items into/ off the assigned vehicle.
• Deliver catering items, set-up and dismantle catering buffet at various locations according to standard procedures.
• Communicate with customers on the set-up requirements and related enquires with patience and professional manner.
• Enhance the buffet set-up by using different decorations/ props when necessary.
• Ensure the cleanliness and condition of assigned vehicle.
• Perform food safety, work safety and road safety rules and policies at all times.
• Cooperate and communicate with other departments for any necessary arrangement/ issues regarding customers’ orders.
• Report immediately to superiors if there is any operational inconsistencies, incidents or accidents.
• Perform any other duties to be assigned from time to time by superiors.

We are hiring.

Position: Recruirment officer

Students seeking internships are welcome to apply.

You will be personal assistant to the manager.

Recruitment tasks include scheduling appointments and interviews, Admin work.

You can work form home and flexible hours.

Email your resume to [email protected]

Short listed candidates will be notified for an interview.

• To maintain and keep track of calibration of equipment used during analysis
• Conduct regular checking / inspection to ensure buildings are always maintained to a good condition
• Carry out sampling and stability testing.
• Troubleshoot and perform minor repairs on M&E services & installation for the building, which includes but not limited to general handyman work in fitting, installation, electrical wiring, plumbing, painter, carpentry and etc.
• Supervision of conservancy / building and ensure that all maintenance & repair works carried out by term contractors are properly done / complete on time
• Responsible for client’s satisfaction, attend to and investigate any complaint on maintenance and service works
• Assisting the client’s Management Team in emergency control where situation arise
• Perform QC checking, sampling and routine analysis of in-coming raw material.

Job Requirements:

• NITEC, Higher ITEC or Diploma in Electrical/Mechanical Engineering or relevant discipline
• 1 to 2 years of experience in Engineering field
• Able to work on shift duty including weekends and public holidays
• Able to work independently with less supervision
• Able to work under pressure condition
• Proficient in Microsoft Office Applications and computer literacy
• Work locations include SMRT Mandai Depot or other MRT stations
• Able to start immediately or within a short notice

Remarks for Applicants:

Please submit your resume including information on your salary package for the companies that you have been in service and reason for resignation. Please also mention your expected salary and availability for the position. Thanks

Job Description

• Managing inventory and warehouse equipment.
• Overseeing the production of goods to meet timelines and standards.
• Coordinating processes with all departments and point persons involved.
• Creating reports and analyses for reporting to management.
• Optimising transportation and delivery processes.
• Managing conflicts such as equipment malfunction, bottlenecks, and client complaints.