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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

Novena

Immediate till 31 August 2025

5 days work week across Monday to Sunday

Up to 44 hours per week (8.30am - 6pm / 12.30pm - 9.30pm)

• Support Project Manager in attaining holistic objectives of the assigned surveys.

• Lead a team of Survey Officers to achieve service levels for assigned surveys within timeline.

• Ensuring the team attains their daily Key Performance Indicators (KPIs).

• To be the subject matter expert for assigned surveys.

• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues if needed.

• Ensure survey data are accurately keyed into the system via audits.

• Handle escalations/complaints cases via service recovery calls.

• Assist Quality Service Manager in escalations/complaints via incident reporting, findings, and future

preventive measures.

• Conduct field visits with junior team members for survey collection.

• Conduct call audits to ensure compliance to call scripts, professionalism, and service excellence.

• Continuous improvement in standards and quality of the team via coaching efforts.

• Goals setting and conducting year-end appraisals.

Requirements:

• Minimum Diploma or equivalent.

• Equipped with work experience in survey operations, sales, or customer service role.

• Possessed at least 2-3 years’ experience in supervisory position.

• Those without the academic qualifications will be considered with relevant work experience.

• Applicants with call center background, direct sales and customer fronting will be advantageous.

• Able to handle escalations and complaints proficiently to de-escalate these cases.

• Proficient in Microsoft Excel, PowerPoint, Word. and internet usage.

• Able to communicate effectively with internal and external stakeholders.

• Selected applicants are required to complete a training course and passed the assessment test before

being deployed to operations.

• Only Singaporeans may apply.

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://sg.go.persolkelly.com/job/apply/10247

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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 (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

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 Centre for Holistic Inquiry into Lifelong Learning (CHILL).

The Research Fellow will be responsible for working closely with the Principal Investigator (A/Prof Suranga Nanayakkara). He/She will work in developing effective pedagogical strategies for CET (Continuous Education and Training) courses. Their work will involve developing potential strategies based prior work and in-house qualitative/quantitative data collections, designing interventions based on these strategies, testing and piloting them across various adult/lifelong learning courses.

Major responsibilities include:

1. Working with A/Prof Suranga Nanayakkara and Senior Research Fellow at CHILL to conduct original, impactful research.

2. Taking the lead on research & development work related top pedagogical strategies for CET (Continuous Education and Training) courses.

3. Contributing to disseminate research outcomes to the audience in the field of Adult Learning/Education/Learning Sciences through presentations, demos and journal/conference papers.

4. Participating in project meetings as well as industrial/academic events.

Qualifications

• A PhD in Learning Sciences, Education or related field
• Expertise in Adult Learning Theories and Frameworks
• Expertise in Qualitative Research Methods
• A strong research background with proven publication track record
• Excellent communication skills (written and verbal) and interpersonal skills

Why join us

NUS is a world-class university (ranked within the top 10 in the world) that provides an outstanding and supportive research environment. The CHILL is an excellent environment with a diverse team which will accelerate your research career.

The initial term of appointment will be 1 year (renewable). The selected candidate will be offered competitive salaries and benefits.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Candidate will be working on dynamic modelling and simulation of the powertrain of a full electric tug vessel, mainly using MATLAB/Simulink. The simulation models will be used to investigate the steady state and transient behaviour of the ship’s electric propulsion system.

Key Responsibilities

• Development of dynamic models of the ship’s electrical propulsion system including energy storage systems.
• Investigate steady-state and transient behaviours of an all-electric ship’s electrical system in various operational scenarios.
• Carry out mission-specific electrical power consumption analysis
• Electrical propulsion and ESS design optimization.
• Any other duties as assigned by the supervisor.

Job Requirements

• Bachelor's Degree or above in the areas of Electrical Engineering, Mechanical Engineering or Marine Engineering
• Other relevant disciplines are welcome to apply
• Background in programming languages and related research project experience is ideal

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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 Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Salary: $2500 - $5000 + OT
Location: Orchard
Working days: 5.5 days, shift work
Mon - Fri (7-4pm, 9-6pm & 10-7pm),
Alternate Saturday (8:30am-1pm)
*staggered hours 8 hours depending on the roster plan

Duties of a Recovery Nurse

Recovery nurses provide critical care to patients before and after surgery. Recovery nurses treat a wide range of patients. They clean wounds, administer medication and monitor the progress of the patients' conditions

Before Surgery

• Work with anesthesiologists, surgeons, and surgical nurses to prepare patients for surgery.
• To record vital signs, instruct patients on the details of the procedures and administer intravenous therapy and medication.
• Help doctors transfer patients to the operating room, and may be asked to clean wounds, sterilize equipment and make sure patients' rooms are ready for their arrival.
• To communicate with loved ones and inform them of patients' conditions.

After Surgery

After surgery, recovery nurses are patients' primary care givers.

• Monitor their vital signs, clean bandages and comfort patients when they wake up from anesthesia.
• Administer tests, analyze lab results and report back to surgeons and doctors.
• Track the progress of patients' conditions, and ensure patients receive adequate rest, food, fluids and nutrients.
• Teach patients how to clean their bandages, take medication and care for themselves after they leave the hospital

Quah Siying (Jeslyn) R1982418

The Supreme HR Advisory Pte Ltd 14C7279

• Salary: $2500 - $5000 + OT
• Location: Orchard
• Working days: 5.5 days, shift work
• Mon - Fri (7-4pm, 9-6pm & 10-7pm), Alternate Saturday (8:30am-1pm)
  *staggered hours 8 hours depending on the roster plan

Duties of a Recovery Nurse

Recovery nurses provide critical care to patients before and after surgery. Recovery nurses treat a wide range of patients. They clean wounds, administer medication and monitor the progress of the patients' conditions

Before Surgery

• Work with anesthesiologists, surgeons, and surgical nurses to prepare patients for surgery.
• To record vital signs, instruct patients on the details of the procedures and administer intravenous therapy and medication.
• Help doctors transfer patients to the operating room, and may be asked to clean wounds, sterilize equipment and make sure patients' rooms are ready for their arrival.
• To communicate with loved ones and inform them of patients' conditions.

After Surgery

After surgery, recovery nurses are patients' primary care givers.

• Monitor their vital signs, clean bandages and comfort patients when they wake up from anesthesia.
• Administer tests, analyze lab results and report back to surgeons and doctors.
• Track the progress of patients' conditions, and ensure patients receive adequate rest, food, fluids and nutrients.
• Teach patients how to clean their bandages, take medication and care for themselves after they leave the hospital

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

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

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

HYCOMBS Project is looking for a Research Fellow : Experimental study of ammonia medium-duty engine : effect of H2 blending versus diesel pilot ignition (HYCOMBS Project)

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

In the WP4 of HYCOMBS project, the objective is to improve the combustion process in medium-duty engine. Retrofit engine in order to fill with ammonia requires some small changes, mainly relative to its auto-ignition characteristics. If the compression ratio is not higher than 20, to reach compression ignition more reactive species are needed as the pilot injection of diesel (Advanced Compression Ignition Engine) or to add a spark plug (Si engine with diesel flow field). Up today, even if the number of works on Ammonia engine increase (80 papers in 2024) it is evident that the processes are not sufficiently characterized to develop accurate tools to predict these combustion development [1], [2], [3].

The objective of this post-doc position is first to provide accurate experimental data base highly resolved in space and time to study the fundamental of combustion using NH3, blended with H2 or Diesel type fuel to help CFD model development. This will be done in an optical combustion chamber in Singapore. Second, experimental engine tests will be done in light duty and medium duty to evaluate the scale change and as a function of the 2 ignition strategies. Combustion specifications, performances and pollutant emissions with a special attention of the NOx emissions will be characterized and analyzed. This will be done in collaboration with NTU team.

Reference

1) Xinyi Zhou, Tie Li, Ning Wang, Xinran Wang, Run Chen, Shiyan Li, Pilot diesel-ignited ammonia dual fuel low-speed marine engines: A comparative analysis of ammonia premixed and high-pressure spray combustion modes with CFD simulation, Renewable and Sustainable Energy Reviews, Volume 173, 2023, 113108,

2) William F. Northrop, Modeling nitrogen species from ammonia reciprocating engine combustion in temperature-equivalence ratio space, Applications in Energy and Combustion Science, Volume 17, 2024, 100245,

3) Dupuy A, Brequigny P, Schmid A, Frapolli N, Mounaïm-Rousselle C, The Journal of Ammonia Energy 01 (2023) 011–020, Experimental study of RCCI engine – Ammonia combustion with diesel pilot injection

EXPERIENCE & QUALIFICATIONS

Ph.D. in mechanical engineering

Skills:

• Experience of engine experiments with combustion analysis
• strong experience with post-processing tools for engine combustion analyses
• oral and written communication to report to the partners and for conferences and peer-review journal.

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

Start May 2025

Duration: 18 months

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus, + some stays will be in Orléans France, Laboratoire PRISME

Interested applicants please contact: Pr. Christine MOUNAÏM-ROUSSELLE, [email protected]

Subject template for application by email:

HYCOMBS – Position – Name of the offer. Documents: CV and a recommendation letter to be sent directly by the candidate to the supervisors.

School Nurse needed!!!!!!!

Industry: Schools (Primary & Secondary)

Working hours: Full Time (Mon-Fri 8.30am to 5.30pm) , Part Time (Mon-Fri 8.30am to 3.30pm), Flexi-hours available

Salary range: Full Time $2200-2800 / Part Time & Flexi Hours to be discussed depending on hours of work

Location: Orchard

Job Description:

1. Station in the first aid room of the school
2. Attending to students' basic injuries (i.e.: cleaning of wound, bandaging of wounds, etc)
3. Assessing students' conditions and planning of nursing care requirements
4. Ensure all incident reports are recorded accurately
5. Providing emotional support to students
6. Contacting parents and provide updates on student care
7. Conducting periodic health care talks to students and staff
8. Conduct basic first aid training for staff
9. May have to travel to few campuses to conduct first aid training for staff (transport to be reimbursed)
10. Ensures the first aid room is fully equipped with the necessary materials by ensuring constant stock taking and placing of orders
11. Other duties as assigned

Requirements:

1. Patient and passionate for children
2. Ability to assess and react to situations timely and with a sense of urgency

Interested candidates, please send in your CV & indicate in the subject as "School Nurse (indicate applying for Full/Part Time or Flexi hours)".

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel:Sng Wei Lin

EA Reg No.: R1101806