- Oversee operations and cleanliness on ground

- Perform general cleaning to maintain cleanliness

- Manage customer complaints in professional manner

- Manage manpower deployment

- Conduct site inspections to ensure compliance with health and safety standards

- Prepare operations reports and other administrative duties

- Any other related duties assigned by manager

Benefits

1. Attractive Incentives: High incentive benefits to reward your contributions.
2. Career Growth: Opportunities for professional development and career advancement.
3. Comprehensive Training: Structured training programs to equip you for success.
4. Health Benefits: Enjoy medical and dental coverage for your well-being.
5. Work Locations: Near MRT stations at locations such as Bedok Mall, Causeway Point, and more.

Job Description

As a Customer Service Officer, you’ll be the friendly face and voice of the company, ensuring every customer enjoys a seamless and satisfying experience.

Key Responsibilities:

• Attend to customer inquiries via calls or walk-ins with professionalism and warmth.
• Schedule, reschedule, and send reminders for customer appointments.
• Handle invoicing and cashiering duties, including payments and daily settlement tasks.
• Input data, generate reports, and consolidate information for submission.

Requirements

• Basic proficiency in Microsoft Excel.
• Strong interpersonal and communication skills.
• Customer service-oriented, with a team-player mindset and a positive attitude.
• Prior experience in customer service or an aesthetics-related field is preferred.

Additional Information

• Locations: Bedok Mall, Causeway Point, Century Square, Funan, JCube (Jurong East), Nex, Northway Point.
• Working Hours: Retail hours (shifts) with a 5-day work week.
• Demographics: Preferably with a background in aesthetics.

We are seeking candidates for the position of Research Officer for the Circular Bioeconomy team, part of the Biotransformation Group at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). The Circular Bioeconomy team performs Research & Development in biotechnological approaches to waste valorisation, alternative protein and carbon-reduction. The mission is to provide biotechnological solutions for achieving Singapore?s ambitious goals of Zero Waste, Food Security and Net Zero emissions.

Job Description:

• Perform laboratory experiments for Circular Bioeconomy projects, such as microbial isolation, flask fermentation, bioreactor fermentation and analysis using assays, analysers, chromatography and quantitative PCR.
• Plan experimental work in close collaboration with supervisor. More experienced candidates will have greater independence in planning, executing and trouble-shooting their own work.
• Analyse, organise and summarise experimental results for reporting to supervisor. More experienced candidates will have greater freedom in interpreting, evaluating and reporting results to stakeholders.
• Maintain laboratory and equipment in good and productive order, such as purchasing consumables, organising and tidying lab, maintaining equipment and writing SOPs.
• Uphold high safety and integrity standards, complying with all HSEP (Health, Safety and Environmental Protection) rules and regulations, as well as SIFBI internal rules.

Job Requirements:

• Bachelor's degree in food science or Life Sciences, such as Biotechnology.
• Previous work or internship experience with laboratory work is preferable.
• Experience and preference for hands-on experimental work in a laboratory.
• Experience with microbiological and aseptic techniques. Experience with fermentation and bioreactors is advantageous.
• Experience with analytical techniques such as biochemical assays, spectroscopy and chromatography. Experience with PCR techniques is advantageous.
• Experience with software tools such as MS Office, Teams, MatLab, MiniTab, and various proprietary scientific soft wares such as for biotechnological and analytical equipment.
• The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, and has excellent communication and teamwork skills.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

Our client is a local bank.

6 Months - 1 Year Contract

Responsibilites:

• Assist in Contact Centre Duties (Answering of customer enquiries, escalate to relevant department, initiate callbacks to customers to confirm details and resolve concerns)

Requirements:

• Experience in a Contact Centre, Banking or Customer Service environment will be advantageous
• A strong service mindset and ability to take ownership to deliver excellent service at all times is essential

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

Job Responsibilities:

• Implement and maintain food safety management systems such as Hazard Analysis and Critical Control Points (HACCP).
• Lead the development and implementation of comprehensive hygiene and safety protocols, ensuring compliance with regulatory standards set by SFA, MUIS, MOM, JTC and other relevant authorities.
• Conduct routine inspections of the kitchen and food preparation areas onsite & offsite.
• Identify potential food safety hazards and assess risks in the food preparation and storage processes.
• Implement corrective actions training and safe kitchen practices and preventive measures to enhance overall food safety performance.
• Ensure that suppliers adhere to food safety standards and conduct regular audits of suppliers
• Oversee and updates of the Quality Management System and SOPs, ensuring alignment with industry best practices and regulatory changes.
• Ensure the accuracy, completeness, and proper retention of all quality assurance records, documents, and files as per regulatory and company policies.
• Act as the primary point of contact for regulatory inspections and audits by SFA, MUIS, HACCP and ISO, maintaining thorough documentation and records to demonstrate compliance with hygiene standards.
• Assist in lab test sampling collection and schedule
• Provide assistant in any ad hoc assignment if any

Job Requirements:

• Possess SFA food hygiene officer certificate level 1,2,3) and FSMS.
• Educational Qualifications: NITEC Certificate (or equivalent) in Food Science-related fields with a focus on food safety.
• Well experienced in Food Science, Food Technology, or a related field.
• At least 2 years of experience in Quality Assurance/Food Safety within the F&B or catering industry.
• Knowledge of Singapore’s food safety regulations and standards (HACCP, ISO, SFA guidelines).
• Strong attention to detail and the ability to ensure compliance with food safety protocols.
• Good communication skills to educate and train team members on food safety practices.

Working days: 5 days

Location: Located in the West (Pandan Loop)

Interested candidates are invited to apply online with a comprehensive resume, via the APPLY NOW button below.

We regret that only shortlisted candidates will be notified.

Thank you for applying.

Host Pathogen Interactions Lab in A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading center for infectious diseases research. A*STAR IDL is dedicated to advancing translational research in infectious diseases to improve both health and economic outcomes.

Job Description:

We are seeking a talented researcher to lead the research on a 3 year funded research project as well as develop novel ideas in the broad scope of host-pathogen interactions and infectious diseases. Preliminary data gathered will help develop the researcher’s career and path to independence through the various early-career support available internally in A*STAR as well as in the Singapore ecosystem.

The funded project will aim to characterize and compare host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric approach. Preliminary data of the lab has shown a differential adaptive immune response polarization between two alphaviruses and identified, via in vivo comparative multiOmic approaches, a set of candidate host factors potentially responsible for the phenotype. The project will entail a close characterization of these host factors and their role in the viral life cycle as well as the modulation of the immune response of small animal model to these viruses. In addition to multi-Omics approaches (including single-cell and spatial), protein-protein interactions, microscopy, functional genomics, viral reverse genetics and CRISPR Cas9 gene editing will be some of the tools used to investigate this viral hijacking and understand the host-viral interplay. Animals models available in the lab include mice and zebrafish. Downstream of characterization will aim to validate these targets in small preclinical models for subsequent drug discovery in the A*STAR ecosystem. Throughout the project, close collaborative work within A*STAR IDL as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology or related field
• Atleast 2 years of relevant experience in immunology or related field. No virology experience necessary.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Familiar with bioinformatics
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

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.

Host Pathogen Interactions Lab in A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading center for infectious diseases research. A*STAR IDL is dedicated to advancing translational research in infectious diseases to improve both health and economic outcomes.

Job Description:

We are seeking a talented researcher to lead the research on a 3 year funded research project as well as develop novel ideas in the broad scope of host-pathogen interactions and infectious diseases. Preliminary data gathered will help develop the researcher’s career and path to independence through the various early-career support available internally in A*STAR as well as in the Singapore ecosystem.

The funded project will aim to characterize and compare host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric approach. Preliminary data of the lab has shown a differential adaptive immune response polarization between two alphaviruses and identified, via in vivo comparative multiOmic approaches, a set of candidate host factors potentially responsible for the phenotype. The project will entail a close characterization of these host factors and their role in the viral life cycle as well as the modulation of the immune response of small animal model to these viruses. In addition to multi-Omics approaches (including single-cell and spatial), protein-protein interactions, microscopy, functional genomics, viral reverse genetics and CRISPR Cas9 gene editing will be some of the tools used to investigate this viral hijacking and understand the host-viral interplay. Animals models available in the lab include mice and zebrafish. Downstream of characterization will aim to validate these targets in small preclinical models for subsequent drug discovery in the A*STAR ecosystem. Throughout the project, close collaborative work within A*STAR IDL as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology or related field
• At least 4 years of relevant experience in immunology or related field. No virology experience necessary.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Familiar with bioinformatics
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

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.

A*STAR Infectious Diseases Labs (A*STAR IDL) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR IDL aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

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

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.

Job Description

Assist the Manager in ensuring the smooth operations and effective management for the day-to-day operations of the assigned building
Carry out daily inspection to upkeep the property in good and serviceable conditions
Prepare, evaluate and recommend for contract/quotation works
Carry out all work functions to the highest standard expected for the client
Handle renewal of term contracts and upkeeping of contractual records

Job Requirements:

Diploma in Building / Facility Management / Mechanical / Electrical Engineering with minimum 2 years of relevant experience in building management services / managing strata-titled properties.

About the Role:

· Perform warehousing and operations related administrative duties, including transactional processing in system, and reporting.

Roles and responsibilities:

Operations

· Responsible for inbound receiving and put-away, outbound order pick and pack, and value-add operations.

· Value-add

o Perform physical packaging of equipment from returned consignment and put-away after completion.

o Labelling of new training models and other equipment for easy identification.

o Perform physical replacement of dirtied/damaged packaging materials, such as carton boxes and zip-lock bags.

· Perform system processing, such as transaction posting, uploading of documents, and generate delivery/collection document.

· Liaise with transporter for delivery/collection arrangements.

· Liaise with Operations Support on orders matter.

Stock Count

· Participate in periodic cycle count and, when necessary, full stock-take – performing physical count or stock reconciliation as assigned by Team Lead.

Performance

· Meeting set KPI targets.

· Strict Compliance with OSP QMS and maintain zero non-conformance.

Other Tasks & Responsibilities

· Maintain proper housekeeping in the warehouse.

· Responsible for proper maintenance and serviceability of operations equipment.

· Support in team/department level projects when necessary.

· Any other duties as assigned by the Team Lead or Manager.

About Olympus:

Our purpose at Olympus is to make peoples’ lives healthier, safer and more fulfilling. We do this through innovation. As a technology pioneer, we design and deliver solutions across our Medical division that make a positive contribution to society.

Our products are used to capture the medical and diagnostic images of our world, from the microscopic to the endoscopic. They are instrumental in furthering research, and for travelling inside the human body to help diagnose, treat and prevent illness.

Our commitment to customers and our social responsibility is the cornerstone of everything we do.

Why work at Olympus?

At Olympus, we are dedicated to fostering a high-performing culture, a collaborative environment, and enabling everyone to shine. Our common values of Patient Focus, Integrity, Innovation, Impact and Empathy, form the foundation of our culture and guide our behaviour, where our people feel like they are making a difference every single day.

Not only will you benefit from a meaningful, rewarding and challenging career, you will have access to a range of benefits:

· A competitive salary package including AWS and Variable Bonus

· 18 days of annual leave in your first year

· Health and Wellbeing initiatives (Annual Medical Checkups, Flu Vaccinations, Dental benefits, and Employee Assistance Programs)

What we are looking for:

· Minimum GCE ‘N‘/‘O‘ Level, preferably with formal training in warehousing or logistics management.

· Good knowledge of warehouse processes.

· Hands-on, meticulous and a keen learner.

· Take initiatives at work.

· Good interpersonal skill.

· Good team player.

· Able to work indepently with minimal supervision.

· Good verbal and written communication.

· Ability to operate material handling equipment including pallet jack and electric order picker.

· Ability to lift heavy loads of up to 25kg.

· Knowledge of GDPMDS standards will be an advantage.

· Working knowledge in Sales Force system will be an advantage.

· Working knowledge in MS applications including Excel, and Outlook.

· Minimum 2 year working experience in warehousing.

Apply Now:

To submit your interest in this opportunity, select “Apply for this job”.

In the meantime, follow us on:

· LinkedIn - Olympus APAC

· Company website - www.olympus.com.sg

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (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 Computer Science and Information Systems.

The Research Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

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

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

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

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills