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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing 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

Duties and Responsibilities

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for mood, anxiety, stress, resilience, personality traits, behaviour/habits, and emotional and social intelligence, ensuring standardised testing procedures are followed.
2. Collect, manage, and organise research data with attention to detail and data integrity.
3. Perform data analysis using statistical software (e.g. SPSS, R, Python) to identify trends and correlations related to cognitive impairment.
4. Assist in the preparation of research reports, manuscripts, and presentations for dissemination of study findings.
5. Maintain clear and accurate records of all research activities.
6. Collaborate effectively with a multidisciplinary team of researchers, clinicians, and data analysts.
7. Adhere to ethical guidelines and regulatory requirements for research involving human subjects.

​​​​(B) GENERAL (20%)

The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or a related background. Final year students are welcome to apply.
2. Proficiency in data analysis and statistical software (e.g. SPSS, R, or Python).
3. Strong organisational skills and attention to detail.
4. Excellent communication skills, both written and verbal.

(B) LANGUAGE

Fluent in English and Mandarin (We are recruiting personnel to perform Chinese language cognitive assessment for a mandarin speaking elderly population).

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 Summary

Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is seeking a dedicated and skilled Research Fellow to lead research on the ectomycorrhizal fungi and associated microbial communities in Dipterocarpaceae tree species across urban and forested landscapes in Singapore. This position plays a key role in advancing knowledge on plant-microbe interactions, contributing to conservation and ecological health of Dipterocarpaceae trees.

Duties and Responsibilities

• Lead fieldwork initiatives for the survey and collection of soils associated with the ectomycorrhizal fungi and microbiome of Dipterocarpaceae tree species across diverse environments in Singapore.
• Conduct health assessments of surveyed Dipterocarp trees, gathering data to compare markers of healthy and unhealthy specimens.
• Coordinate with the National Parks Board (NParks) for site access and to ensure accurate sampling locations.
• Perform assays to quantify soil properties and nutrient content in collaboration with team members.
• Conduct untargeted metabolomics on soil samples to identify microbial and metabolite profiles.
• Work closely with interdisciplinary teams to drive research objectives and achieve project outcomes.

Qualification

• PhD in Plant Ecology, Environmental Science, or a related field.
• Proven field experience in sample collection and ecosystem surveys.
• Strong collaboration skills and the ability to work effectively within a multidisciplinary team.
• Excellent written and verbal 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

The National University of Singapore invites applications for Research Fellow in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The successful hire is expected to provide assistance to the BISI Faculty in i) delivering the research projects that the Centre’s research strategy has identified as key priorities, ii) contribute to the writing and applications for competitive grants, iii) leading/mentoring junior researchers within a collaborative research team, and iv) deliver some teaching in behavioural and implementation science in both undergraduate and post-graduate settings.

The role is primarily a research-orientated one, however the post-holder will be expected to contribute teaching in areas of their expertise within the Centre’s expanding teaching curriculum in behavioural and implementation sciences.

Main Duties and Responsibilities

This is a regular full-time position of which the contract is renewable, subject to performance.

The chosen candidate will:

• Work closely with the team leads, collaborators, cross-disciplinary research teams and support staff
• Design and undertake research and provide expertise across a variety of research-related activities

Research-Related

• Perform systematic reviews of available evidence
• Design, planning and execution of research projects with behavioural and implementation science components;
• Analysis and interpretation of research data (qualitative; quantitative or health economics);
• Writing of research reports, peer-reviewed publications and grant applications;
• Dissemination of research proposals and findings through presentations internally and externally at scientific meetings and conferences.

Education-Related

• Mentor junior research staff
• Deliver teaching in behavioural and implementation science in undergraduate and postgraduate settings.

Qualifications

The candidate should possess:

• A PhD in a relevant discipline

Research-Related

• Experience in undertaking or leading, as appropriate for career stage, independent research studies;
• Track record of publishing in peer-reviewed journals commensurate with career stage;
• Track record of publications/presentations in international or national scientific conferences.
• Experience in a variety of quantitative methods for study design, data management, analysis and reporting – including experience in epidemiology, biostatistics or health economics methods;
• Experience in research software (eg Stata, SPSS, nViVO, Treeage)
• Experience in contributing to research grant proposals will be advantageous

Education-Related

• Experience in delivering and facilitating courses, workshops and training;

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Huang Weilin at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

The Health, Safety and Environmental (HSE) Officer is responsible for identifying, assessing and advising on risks arising from the workplace or work processes, recommending measures to eliminate or minimise and control the risks and implementing the measures. He/She is also responsible for preventing or reducing health and environmental risks, and improving quality of processes.

Analytical and observant, he/she is required to identify risks and analytical to analyse risks. He/She is expected to supervise a quality, health, safety and environmental team and to work with internal and external stakeholders to accomplish his/her work.

Responsibilities:

1. The primary role is to serve our salespersons or clients at the customer service counter or reception counter.

2. Process documents, collect commission (cash, cheque or online payments), sale of merchandise, use POS system, and handle office equipment (nets/credit card machines, copier machines, and computer terminals at the free seating area).

3. Data entry using our in-house systems (REMSPlus2, Admin module, e-submission) and using external systems (IRAS, HDB, CEA).

4. Manage walk-ins, emails, and telephone enquiries.

5. Frank mail and deposit at SingPost.

6. Collect and distribute mail.

7. Open and close the office, meeting rooms and training rooms.

8. Perform any other ad-hoc duties as and when assigned.

Requirements:

1. GCE ‘O’ Level and above.

2. Preferably someone who has work experience in customer service duties.

3. Excellent phone etiquette and possess good communication skills.

4. Ability to multitask and handle high volume of customers efficiently.

5. Computer literate in Microsoft Office.

6. Preference will be given to candidates who are available immediately or within short notice.

7. Need to be able to commit from 2 December 2024 to 30 April 2025.

Other Information

· Working Location : Toa Payoh, (HDB Hub near Toa Payoh MRT Station)

· Five (5) day work week, Monday and Friday : 8.30am to 5.30pm or 9.00am to 6.00pm. (With 1 Hour Break)

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary, date of availability via APPLY NOW button.

We regret that only shortlisted applicants will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof Barbaros Oezyilmaz and Dr Toh Chee Tat on lab support, sample preparation and characterization under a project on Large area synthesis and applications of atomically thin amorphous materials.

The main responsibilities of the position include:

1. Direct growth of MAC on target substrates using a UV-based CVD approach.
2. Transfer of 2D material, layer-by-layer assembly of the all-carbon transistors and memristors
3. Electrical tests of the devices, exploration of the transfer curves of transistors with thin amorphous dielectrics
4. Characterization of MAC (e.g. optical, electrical, Raman spectroscopy, Atomic Force Microscope, Scanning Electron Microscope).
5. Device fabrication of test samples for potential applications.
6. Data analysis and physical interpretation of the results.
7. Manage lab safety, equipment maintenance and operations.
8. Meet key deliverables for industry collaboration.

Qualifications

• Qualifications / Discipline: Bachelor's or Master's degree in materials science, engineering, or a related field, with a focus on thin film deposition
• Skills: Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
2. Experience with electronics and the use of clean room is desirable

Cash Handling and Reconciliation: Receive and verify cash bags collected by couriers, ensuring quantities match Trust Receipts. Sort, pack, and seal cash bags for delivery to designated banks.
Issue and maintain manifests and Trust Receipts. Coordinate with couriers for bank deposits.
Manage cash float exchange, including packing, receiving, and banking.
Generate detailed reports on all cash transactions, including bags received and issued.
Maintain accurate records of float funds and conduct regular stock counts.

Inventory Management: Assist in issuing consumables to customers.
Record and track the quantity of consumables in and out of the vault.
Participate in periodic stocktaking of cash and consumables.

Security and Compliance: Adhere to strict security protocols and procedures to safeguard valuable assets. Maintain a secure and controlled environment within the vault. Ensure compliance with relevant regulations and internal policies.

Job Requirements:

• Previous experience in cash handling or a similar role preferred
• Strong attention to detail and accuracy
• Ability to work independently and as part of a team
• Excellent organizational and time management skills
• Strong numerical skills and basic computer literacy
• Ability to work in a secure environment with strict adherence to procedures
• Valid identification and clean background check
• Experience with vault management systems and security protocols
• Knowledge of relevant regulations and compliance standards

Role Overview

• To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

• To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations
• To lead technical investigations in response to fault calls
• To review documentation on procedure and schedules of maintenance works
• To track inventory levels of spare parts, consumables and non-consumable items
• To prepare technical reports and / or monthly reports where required
• To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices
• Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.
• Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.
• Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

Role Overview

To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

• To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations
• To lead technical investigations in response to fault calls
• To review documentation on procedure and schedules of maintenance works
• To track inventory levels of spare parts, consumables and non-consumable items
• To prepare technical reports and / or monthly reports where required
• To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices
• Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.
• Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.
• Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

Role Overview

To assist in technical investigations in case of fault calls and regularly review the preventive and corrective maintenance activities for property in the aviation sector. He / She should be a competent problem solver on the ground, possessing strong technical knowledge in building and M&E maintenance and ability to liaise with service providers to ensure maintenance or repair works are carried out timely.

Role Responsibilities

To review preventive and corrective maintenance works to ensure adherence to quality and safety standards and regulations

To lead technical investigations in response to fault calls

To review documentation on procedure and schedules of maintenance works

To track inventory levels of spare parts, consumables and non-consumable items

To prepare technical reports and / or monthly reports where required

To conduct risk assessments in accordance to regulatory and organisational Workplace Safety and Health(WSH) policies and practices

Responsible for initiating and tracking all purchase requisitions and closing of work orders, including thepreparation of costing for all proposed works to his supervisors for approval and liaison with client reps.

Liaising with term and adhoc contractors for all appointed works and coordinating with relevantstakeholders for approval and work executions, including reporting work progress and completion.

Reporting to the Engineer and appointed reporting supervisor for any adhoc work matters.

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 Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 looking for a highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)

• To serve as a lab safety lead.
• To be responsible for lab ordering.
• To organise chemicals and consumables in the lab and update the inventory.
• To create and review standard operation protocols (SOPs) and risk assessments (RAs).
• To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)

• To perform peptide synthesis and characterization of synthesized peptides.
• To perform peptide crystallization and characterization of crystallized peptides.
• To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:

• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:

• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:

• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

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 Research Associate (Computational and Laboratory Biology) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in both mathematical/machine learning methods and biological laboratory techniques. He or she will also be responsible for data analysis and for developing computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of statistical and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline. Industry experience in biotech or pharma would be an advantage.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Process and extract biological samples (tissue and clinical origin) for -omics analysis;
2. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. genomics, transcriptomics, proteomics);
3. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
4. Develop and maintain databases and data pipelines for biological data;
5. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
6. Communicate research findings through publications, presentations, and reports;
7. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

1. Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
2. Hands-on experience and skills in standard biological laboratory techniques;
3. Strong programming skills in relevant languages such as R and/or Python;
4. Experience with biological data analysis and interpretation;
5. Knowledge of biological systems and processes;
6. Excellent communication and collaboration skills;
7. Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

Qualification:

· At least Nitec in Technology for Facility Management, GEC “O” or “N” level, “A” Level or equivalent

· At least 2 years’ relevant working experience

Job Description:

· To man the FRC. The FRC is first point of contact whenever a user seeks for urgent assistance.

· To receive fault reports through the hotline and email, and redirect the fault reports to the relevant maintenance contractor

· To accurately and timely log-in/update fault reports into the MMS (Maintenance Mate System)

· To ensure the completion of the repair or servicing of any outstanding faults and service requests within the KPI

· To receive, process, and follow up events and logistics requests

· To perform other ad-hoc duties required

Qualification:

· At least Nitec in Technology for Facility Management, GEC “O” or “N” level, “A” Level or equivalent

· At least 2 years’ relevant working experience

Job Description:

· To man the FRC. The FRC is first point of contact whenever a user seeks for urgent assistance.

· To receive fault reports through the hotline and email, and redirect the fault reports to the relevant maintenance contractor

· To accurately and timely log-in/update fault reports into the MMS (Maintenance Mate System)

· To ensure the completion of the repair or servicing of any outstanding faults and service requests within the KPI

· To receive, process, and follow up events and logistics requests

· To perform other ad-hoc duties required

- 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

To man the FRC. The FRC is first point of contact whenever a user seeks for urgent assistance.

· To receive fault reports through the hotline and email, and redirect the fault reports to the relevant maintenance contractor

· To accurately and timely log-in/update fault reports into the MMS (Maintenance Mate System)

· To ensure the completion of the repair or servicing of any outstanding faults and service requests within the KPI

· To receive, process, and follow up events and logistics requests

· To perform other ad-hoc duties required

Role Overview

• Supervision and co-ordination of excavation and trenching of the installation of fire hydrant chambers and pipes (both mechanical joint and push-on joint methods) are done using approved earthquake resistance Kubota Pipes
• Ensure that all installations are in accordance with the Kubota GENEX pipe installation methods, approved drawings, and applicable local Codes, Regulations and Standards

Role Responsibilities

• Inspect and monitor quality of workmanship of the works on site
• Check all drawings and contract specifications (including authority aubmission drawings and shop drawings) Job Requirements
• Knowledge of Microsoft office words, excels and PowerPoints
• Able to commit night shift & overtime

· Review Method Statement & Risk Assessment Document & Inspection Test Plan procedure

· Review the Quality Assurance (QA) & Quality Control (QC) Plan and Procedure Documents

· Follow the approved engineering drawings /documents & carried out inspection.

· Review & follow QP/PE Design approved documents

· Read & follow project requirements

· Daily site survey & monitor site activity

· Review Site Construction Query (SCQ) & approval

· Review project overall schedule on weekly basis on construction and inspection activities

· Checking procurement report & closely follow up

· Internal meeting with Eng., Team & contractor

· Follow-up & monitor daily project schedule

· Carried out Inspection as per AFI

· Attend FAT at vendor facility

· Prepare weekly report

· Checking daily & weekly report by contractor

· Attend Meetings with Stake holders

· Participate safety site walkdown

· Review third party inspection FAT documents

· Closely follow-up with punch list & carried out inspection

· Review Construction MOM & Monthly report

Job Requirements

• Possess at least Degree in (Mechanical) Engineering
• Must be experienced in supervision of Changi Airport Runway Projects
• Minimum 5 Years of experience as RTO on local projects
• Registered resident technical officer with IES/ACES
• Ensure Airport Operational and Safety Requirements
• Ensure all Regulations and Standards of the Runways, Taxi ways, Military Taxi way and Airport Emergency Service

Role Overview

• Supervision and co-ordination of excavation and trenching of the installation of fire hydrant chambers and pipes (both mechanical joint and push-on joint methods) are done using approved earthquake resistance Kubota Pipes
• Ensure that all installations are in accordance with the Kubota GENEX pipe installation methods, approved drawings, and applicable local Codes, Regulations and Standards

Role Responsibilities

• Inspect and monitor quality of workmanship of the works on site
• Check all drawings and contract specifications (including authority aubmission drawings and shop drawings) Job Requirements
• Knowledge of Microsoft office words, excels and PowerPoints
• Able to commit night shift & overtime

Job Requirements

• Possess at least Degree in (Mechanical) Engineering
• Must be experienced in supervision of Changi Airport Runway Projects
• Minimum 5 Years of experience as RTO on local projects
• Registered resident technical officer with IES/ACES
• Ensure Airport Operational and Safety Requirements
• Ensure all Regulations and Standards of the Runways, Taxi ways, Military Taxi way and Airport Emergency Service

Role Overview

Supervision and co-ordination of excavation and trenching of the installation of fire hydrant chambers and pipes (both mechanical joint and push-on joint methods) are done using approved earthquake resistance Kubota Pipes

Ensure that all installations are in accordance with the Kubota GENEX pipe installation methods, approved drawings, and applicable local Codes, Regulations and Standards

Role Responsibilities

Inspect and monitor quality of workmanship of the works on site

Check all drawings and contract specifications (including authority aubmission drawings and shop drawings) Job Requirements

Knowledge of Microsoft office words, excels and PowerPoints

Able to commit night shift & overtime

· Review Method Statement & Risk Assessment Document & Inspection Test Plan procedure

· Review the Quality Assurance (QA) & Quality Control (QC) Plan and Procedure Documents

· Follow the approved engineering drawings /documents & carried out inspection.

· Review & follow QP/PE Design approved documents

· Read & follow project requirements

· Daily site survey & monitor site activity

· Review Site Construction Query (SCQ) & approval

· Review project overall schedule on weekly basis on construction and inspection activities

· Checking procurement report & closely follow up

· Internal meeting with Eng., Team & contractor

· Follow-up & monitor daily project schedule

· Carried out Inspection as per AFI

· Attend FAT at vendor facility

· Prepare weekly report

· Checking daily & weekly report by contractor

· Attend Meetings with Stake holders

· Participate safety site walkdown

· Review third party inspection FAT documents

· Closely follow-up with punch list & carried out inspection

· Review Construction MOM & Monthly report

Job Requirements

Possess at least Degree in (Mechanical) Engineering

Must be experienced in supervision of Changi Airport Runway Projects

Minimum 5 Years of experience as RTO on local projects

Registered resident technical officer with IES/ACES

Ensure Airport Operational and Safety Requirements

Ensure all Regulations and Standards of the Runways, Taxi ways, Military Taxi way and Airport Emergency Service

Job Description:

We are seeking an AI/ML expert to drive AI in drug discovery in the area of pharmacology and pharmacometrics, including PK/PD, in the Bioinformatics Institute (BII). The PI will build a research group in BII and collaborate closely with clinicians and researchers to drive this effort across Singapore. The PI is also expected to lead or participate in grant proposals and work with industry to translate new technologies developed.

Job Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Deep experience in AI/ML methodologies related to drug discovery and pharmacology.
• 5-10 years’ experience in the drug development process.
• Outstanding record in publications, patents or securing research funds, or substantial industry experience.
• Strong management skills in leading a research team, executing projects and working with multiple stakeholders.
• Consistent track record in delivering outcomes for AI /ML projects related to healthcare and pharmacology.
• Excellent communication skills

The Biological Resource Centre (BRC) is an AAALAC International accredited and bizSAFE Level 3 certified laboratory animal facility that provides high quality animal housing and animal support services. BRC is seeking an Associate (Administration) to join us to support the administrative duties.

Job Description

• Working closely with Finance and assist in billing of customers.
• Follow up with customers on overdue invoices.
• Communicate with customers/vendors via phone, email or personally and investigate and resolve customer queries.
• Performance of Good Receipt.
• Maintain and update booking system details when needed.
• Collation of information for Management.
• Assist with Management / Financial reporting.
• Preparation of presentation slides.
• Carry out other duties and tasks that may be assigned from time to time.

Job Requirements:

• Diploma in Business or Accountancy, or equivalent.
• Proficient in Microsoft Office (e.g. Outlook, Word, Excel, PowerPoint).
• Excellent interpersonal and communication skills, meticulous.
• Ability to break down tasks into deliverables and set realistic timelines for completion.
• Ability to work independently and collaboratively in teams.
• Excellent spoken & written communication skills.
• Knowledge of SAP system will be 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.