Total 10,224 research nurse job vacancies in Singapore

Job Description:

• Provide direct patient care to an assigned group of patients as well as supervise, guide and direct junior nurses assigned to your team.
• You will have opportunities to work in the wards, High Dependency Units (HDUs), Intensive Care Units (ICUs), Renal Dialysis Unit, Psy Ward, Radiology and Endoscopy settings.

Job Requirements:

• Possess a Diploma, Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma, Professional Degree, Nursing or equivalent.
• Advanced diploma / post-basic certificate in any discipline for the Senior Staff Nurse position
• Registered with the Singapore Nursing Board
• Able to perform three rotating shifts that include weekends and public holiday

Only shortlisted candidates will be notified.

Phillip Securities Research is looking for a candidate for its research department. This position will be exciting, demanding and rewarding. Join a team of motivated analysts producing high-quality research for a broad clientele.

The main function of this job is to conduct investment research and give investment recommendations based on such research to sales and clients of PhillipCapital.

• Research on US technology sectors and companies
• Provide investment ideas based on your area of coverage
• Conduct presentation on coverage to clients of channel or product owners
• Any other ad-hoc requests by Directors, channels or product owners

Requirements:

• Bachelor degree or higher
• Self-motivated, has a thirst for knowledge, possesses an analytical mind and has an eye for detail
• Strong writer and not afraid to improve as a public speaker

• Healthcare Provider of Palliative Care
• Home Care Nursing Roles
• Collaborative Working Environment

Reporting to the Nurse Manager / Nurse Clinician, you will be responsible for delivering patient-centric and compassionate care according to patients needs and condition.

Responsibilities for Home Care role:

• Ensure the nursing care services rendered are safe, competent and individualised. Uphold nursing standards in documentation, treatment, patient monitoring and infection control.
• Manage complex patient care and demonstrate clinical skills, knowledge and critical thinking in the care delivery to patients.
• Monitor, reassess and evaluate patients condition, implement a plan of care for the patient and support family members to cope with patient advanced disease.
• Coordinate the care of patient through an advising physician, provide direct patient care, evaluate the patients conditions, and serve as the liaison between families and physicians.
• Communicate and build rapport with patients and their families or caregivers. Assess the home needs in terms of training and requisition of equipment and aids to facilitate patients living.
• Allocate equipment as necessary to assure adequacy of resources to meet care requirements.
• Follow up to ensure continuity of patient care and treatment plans.
• Perform nursing care such as medication administration and wound dressing as required.
• Maintain proper documentation of patients condition and accurate collation of data (record of referral/enquiry/attendances).
• Facilitate and participate in Multidisciplinary Team meeting. Cooperate with other teams to provide smooth delivery of patient care and services.
• Keep active measures to ensure the safety of patients.
• Observe organisation and legal requirements regarding storage and control of drugs and medical supplies.
• Maintain a high degree of confidentiality and discretion in matters involving patient care.
• Observe the proper use/care of the equipment and economical use of consumables and supplies.
• Handle public enquiries in an appropriate and professional manner.
• Adhere to established policies and procedures. Enforce compliance with the Singapore Nursing Board's Standards of Practice for Nurses and Midwives, and the Code of Ethics and Professional Conduct.
• Undertake to keep oneself well informed of the updated industry guidelines and develops new skills that are necessary for the role.
• Maintain high standards of housekeeping and workplace organisation at all times.

Requirements:

• At least a Diploma in Nursing from the local Polytechnic and registered with Singapore Nursing Board. Post-registration experience in a hospital or hospice setting preferred.
• Min. 6 years of bedside nursing (inpatient) experience is preferred
• Knowledge in IT and systems.
• Passion to serve and provide excellent customer service to various stakeholders.
• Meticulous and accurate.
• Good interpersonal and communication skills.
• Willing to contribute as an effective team-player.
• Able to perform under pressure.

Work Scheme: Mon to Fri (must be comfortable to work on weekend/PH if scheduled to be on-call), Duties for On-call will be scheduled every 6-7 weeks.

Working Hour: 8am-5.30pm

Working Location: Island-wide

To apply, please submit your detailed CV with the following details for faster processing:

• Reason for leaving
• Expected salary
• Earliest availability date

You may also visit our careers page at https://www.careers-page/cadmusresources/job/QY43W5Y5 to upload your CV.

We regret that only short-listed candidates will be contacted shortly.

LKCMedicine seeks a Research Associate (RA) to lead innovative research in medical image processing, 3D organ reconstruction, large-scale model applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use. These tools will support clinicians and researchers, enhancing healthcare delivery. The RA will play a vital role in advancing LKCMedicine's mission of leveraging technology to improve patient outcomes and maintain the institution's leadership in medical innovations.

Key Responsibilities:

• Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
• Explore and develop the application of large-scale pre-trained models in medical scenarios, including but not limited to intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
• Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
• Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
• Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
• Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.
• Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.
• Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.
• Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.
• Write research proposals, grant applications, and contribute to the team's strategic research direction.
• Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.

Key Competencies and Education Qualifications:

• Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
• Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
• A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
• Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
• Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
• Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.
• Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.
• Familiarity with using VR/AR devices and medical visualization tools (such as Unity) for 3D software applications.
• A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.
• Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.
• Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.

Staff Nurse | Orthopedic | Up to $4.8k | Orchard

Working Hours: Mon to Fri 8.30am to 5.30pm. Sat 8.30am to 12.30pm
Working Day: 5.5 days
Working Location: Mount Elizabeth - Orchard
Basic Salary: $4000 - $4800

Job Description

• Manage appointment for the clinic
• Manage Hospitalization administration ensure smooth transition
• liaise with implant company to coordinate implants for surgeries
• Perform as a scrub and circulating Nurse
• Medication Management
• Basic dressing
• Taking of Vital Sign

Job Requirements:

• Diploma in Nursing, SNB Registered
• Proficient in Microsoft Words, Excel, Power Point and Outlook
• Relevant experience in Orthopaedic
• Experience in Private specialist clinic setting

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Job Purpose:

Do you want to make a difference in someone else’s life as a staff nurse? Active Global wants YOU to be part of our family!

Job Description:

• Key person in setting up and upkeep of clinical/medical protocols pertaining to client needs, from onboarding to discharging.
• Assessment for new case referrals and reassessment of existing clients.
• Leading a team of Healthcare Assistants and oversee the nursing care, standards and operations across our day care centres.
• Working closely with other healthcare professionals on planning client ICP, care and safety in the centre.
• Respond to emergencies, conduct investigations on incidents and preventive actions.
• Working with the centre management on ensuring the upkeep of clinical equipment and supplies.
• Assist to plan and take part in the centre’s activities.
• Any other adhoc tasks assigned by the management.

Requirements:

• Minimum Diploma or Bachelor’s Degree in Nursing.
• Must be a Registered Nurse with Singapore Nursing Board with a clean disciplinary record (nurses on conditional license may not apply for this role).
• Proficiency in Microsoft Office and comfortable with IT would be ideal.
• As you will be working as a team, some weekends including public holidays may be required.

Benefits:

• Attractive base salary and incentives for driving results.
• Great opportunity for career development in a growing market and organization.
• Industry-specific training and coaching by a highly experienced team.
• Highly flexible environment to brainstorm and implement ideas on improvements.
• 15 days annual leave.

Working Location:

• Senior Care Centre @ Sengkang, Ghim Moh or Telok Blangah

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

Key Responsibilities:

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

Job Requirements:

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

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

Qualifications

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS), working on topological exciton polariton experiments.

Key Responsibilities:

• Fabrication of topological exciton polariton lattices based on novel seminconductors
• Use electron beam lithographic techniques to etch novel lattice patterns
• Perform optical characterizations of structures using various optical spectroscopy
• Collaborate with theoretical researchers in the design and optimization for new fundamental effects and the creation of polaritonic topological lattices
• Perform nonlinear optical measurements, using interferometric, angle-resolved, and correlation type techniques
• Record, manage, and store collected data in line with NTUs data management policies
• Disseminate results in the form of peer-reviewed publications and presentations at international conferences

Job Requirements:

• PhD in Physics, Optics, Material sciences, Engineering from a reputable University
• Track record of peer-reviewed papers in international journals
• The ideal candidate would have experience in the heterostructure and device fabrications

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

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

Job Scope:

Research

· Assist with data collation, analysis, and compilation of Singapore Cultural Statistics

· Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.

· Assist with organisation of research training workshops for the Cultural Policy Research Network.

· Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).

Any other duties as may be agreed and assigned.

Working Arrangement:

Location: Clarke Quay

Working Hours:

Mondays – Thursdays, 9am – 6.30 pm (1 hour lunch break)

Fridays, 9 am – 6 pm

Hybrid mode – few days in office and some days work from home

Salary: Monthly Rated

Contract Duration: June 2025 - Dec 2025

Work Requirements:

· Good good communication and written skills

· Versed in Microsoft office

· Good eye for details, interest in research, publications, and data management

· Ability to work in dynamic working environment

· Team player

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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 Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are looking for a a research associate position to advance the understanding of chirality in hybrid organic-inorganic materials using cutting-edge Transmission Electron Microscopy (TEM) techniques. The role will focus on investigate the mechanisms of chirality transfer, characterize chiral structures, and explore their functional properties to develop next-generation materials for optoelectronics and spintronics.

Key Responsibilities:

• Chirality Transfer Mechanisms
  Study how chiral organic ligands influence the structural and electronic properties of hybrid frameworks.
• Material Synthesis and Preparation
  Develop solution-based methods for synthesizing chiral hybrid structures.
  Investigate material-based chirality transfer mechanisms, such as mesoporous silica templating.
• TEM Characterization
  Perform high-resolution TEM and selected area electron diffraction (SAED) to elucidate atomic structures and symmetry.
  Conduct energy dispersive X-ray spectroscopy (EDX) for compositional analysis.
• Collaboration and Dissemination
  Collaborate with interdisciplinary teams and publish findings in peer-reviewed journals.

Job Requirements:

• Masters in Material Science Engineering
• At least 3 years of relevant experiences in TEM / technical hands-on experience in operating electron microscopes
• Familiarity with wet lab skills, electron microscopy and sample prep
• Good written and oral communication skills
• Competent in soft skills / information visualization, interaction design
• Interpersonal skills

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

Job description

The National University Health System Virtual Care Centre (NUHS VCC) is an initiative where trained personnel provides tele-triage to patients and/or their caregivers. VCC will either provide advice and resolve the clinical question or escalate to the VCC clinician where appropriate. To facilitate the development and evaluation of VCC at NUHS a research team has been established. This team is now looking for a research assistant/associate with experience of conducting research projects to join the group. The successful candidate will support research fellow on the evaluation of VCC.

Primary Responsibilities

1. Assist in designing and implementing research-related tasks.
2. Assist in recruiting and coordinating research participants
3. Help with data entry, cleaning, and management
4. Assist in collecting and analysing data from various sources
5. Conduct literature reviews and summarize findings
6. Assist in developing research papers, reports, and presentations
7. Maintain accurate and organized records of research data and findings

Secondary Duties

1. Attend VCC-related meetings
2. Collaborate with the research team to achieve project goals
3. Assume additional responsibilities as assigned by the reporting officer/HOD.

Job Requirements

1. Master and/or Bachelor's degree in a relevant field (e.g. social sciences, psychology, biology)
2. Minimum 2-4 years of experience in hospital research is a plus.
3. Ability to work independently, and communicate effectively in English, both verbally and written.
4. Experience of applying for ethical review would be an advantage
5. Ability to maintain confidentiality and adhere to ethical research standard.
6. Driven and motivated, with potential to achieve research excellence.
7. Ability to generate experimental results leading to high impact publications.
8. Multi-lingual preferable

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

You will be part of the data science research team reporting to the Project Lead. Your responsibilities include managing research projects, facilitating all required documentation and financial records for project activities, and tracking progress to ensure both short-term and long-term goals are met. You will conduct interim project reviews and measure project performance. Additionally, you will assist the Project Lead in managing, guiding, supervising and reviewing the performance of the project team members.

Job Requirements:

· Bachelor’s or Master’s Degree in Bioinformatics, Biomedical Science, Health Science, Computer Science/Engineering or its equivalent with advance proficiency in Project Management. PMP certification is preferred.

· At least 3-5 years’ relevant work experience in data science/ analytics/ research and healthcare. Prior work experience in implementing national-level programme and cardiovascular medicine setting would be an advantage.

· Proficient in Microsoft Office applications and data management, with experience in relational databases in healthcare settings.

· Proficiency in risk management and performance measurement tools

· Strong interpersonal skills. Past experience in supervising junior staff would be an advantage.

· Excellent written and oral communication skills. Ability to translate complex technical concepts in simple layman’s terms.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences, the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore and transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, Cross Cutting Theme 2: Satellite Remote Sensing will map and monitor the impact and solutions of climate change in Southeast Asia region.

The Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS) at Nanyang Technological University in Singapore invites applications for a Research Fellow / Scientist / Engineer to support CTP Cross Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams’ research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes, volcanoes, and impacts of climate change.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

EOS-RS and CTP welcomes applications from qualified candidates who have interests and expertise relevant to the use of remote sensing for mapping, monitoring, and understanding the causes and effects of climate change. We are particularly interested in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing observations.

Successful candidates will have a Master’s/PhD in a relevant field (e.g., earth science, electrical engineering, image processing, and deep learning), expertise in processing and modelling geodetic data using open-source analysis tools, an ability to apply AI/ML techniques to remote sensing data; and demonstrated track record of impactful research or projects in topics related to the position. They will also have strong English and communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value.

Additionally, the successful candidate will be part of the large and interdisciplinary research teams at EOS, the Asian School of the Environment (ASE), and the School of Electrical and Electronic Engineering (EEE), helping to develop algorithms and systems for disaster mapping and climate change in collaboration with space industries and responding agencies around the world. They will collaborate with the geodesy group and many other groups at EOS/ASE.

Key Responsibilities:

• Architect and develop InSAR-based remote-sensing solutions and capabilities grounded in current research to address needs of scientists and external stakeholders
• Coordinate and manage application development and experimentation efforts across projects and synergies
• Conduct feature experimentation and develop applications both independently and in a team
• Help to mentor Research Assistants/Associates

Job Requirements:

• Master’s/PhD in Earth science, geophysics, geodesy, physics, electrical engineering, natural hazards, computer science, machine learning, or a related field.
• Demonstrated expertise in processing SAR data (with open-source tools such as ISCE or GMTSAR) for surface deformation measurement and change mapping.
• Strong technical skills in data processing for remote sensing applications; experience in optimizing and implementing automated processing pipelines (in cloud, HPC environments) for multi-modal, large remote-sensing datasets for machine and deep learning desired.
• Evidence of the ability to write and present at the level required for peer-reviewed scientific journals and international conferences, which will usually be in English.
• Evidence of independence in research direction and team spirit.

Interested applicants should submit a CV, list of publications, research statement, diversity and inclusivity statement, and the names and contact information for three referees. For additional information please email Assoc. Prof. Sang-Ho Yun at [email protected]. Applications will be reviewed on an ongoing basis.

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

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

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research position in maritime decarbonisation modelling:

Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

Staff Nurse

Working Days & Hours: 5 days | 5.5 Days | Shift Work
Working Location: Novena | Orchard | Islandwide
Salary Range: $2800-$5000

Job Scope:

• Manage day-to-day clinical duties in the operating theatre/recovery area/dispensering station.
• Ensure that all equipment is working correctly and adequately maintained
• Maintain patient records and documentation accurately.
• Provide high standards of patient care for all pre and post procedure.
• Provide utmost patient care and customer service to the patients and family members.
• Order and maintain inventory of medical supplies and materials
• Adhere to established protocols, policies, and procedures in providing patient care
• Perform all other duties as assigned by the Centre Manager and/or the Senior Management.

Job Requirements:

• Diploma in Nursing
• Full registration with the Singapore Nursing Board

Tan Jia Jun | REG No: R23112681
The Supreme HR Advisory Pte Ltd | EA No: 14C7279

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Minimal Technical Qualification REQUIRED :

You must have the below SPECIFICED only Paramedic Certification to apply

• Higher Nitec in Paramedic and Emergency Care / Diploma in Paramedicine / Bachelor in Paramedic Science
• Diploma or Degree in Nursing in Singapore (must be registered with Singapore Nursing Board), with ACLS or LSCN
• UPEC certification for non-Singaporean

Job Description & Requirements

Hiring for non 995 duty assignment. Mainly for Hospital standby and Medical Events coverage and for supporting other client specific medical projects.

Lentor Ambulance provides Emergency Ambulance Service and Medical Transport Service to the general public of Singapore.Positions are opened for both Emergency Medical Service and Medical Transport Service.

Applicants will be deployed to positions that are suitable for them as discussed during the interview. Respond quickly to emergency calls
Perform & record pre-hospital patient assessment
Lead & work with ambulance team to provide quality medical care in the pre-hospital setting

Job Requirements

The ability to stay calm in stressful situations
Critical thinking and problem-solving skills
Good communication and interpersonal skills
Committed and passionate about healthcare work
Physically & mentally fit
Work shift including weekends & Public Holidays
SAF or SCDF experience will be beneficial
Class 3 manual driving license (optional)

Only shortlisted applicants will be notified

Staff Nurse

Working Days & Hours: 5 days | 5.5 Days | Shift Work
Working Location: Novena | Orchard | Islandwide
Salary Range: $2800-$5000

Job Scope:

• Manage day-to-day clinical duties in the operating theatre/recovery area/dispensering station.
• Ensure that all equipment is working correctly and adequately maintained
• Maintain patient records and documentation accurately.
• Provide high standards of patient care for all pre and post procedure.
• Provide utmost patient care and customer service to the patients and family members.
• Order and maintain inventory of medical supplies and materials
• Adhere to established protocols, policies, and procedures in providing patient care
• Perform all other duties as assigned by the Centre Manager and/or the Senior Management.

Job Requirements:

• Diploma in Nursing
• Full registration with the Singapore Nursing Board

Tan Jia Jun | REG No: R23112681
The Supreme HR Advisory Pte Ltd | EA No: 14C7279

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Analysis: Conduct data analysis to extract valuable insights from healthcare operational data, including patient records, resource allocation, and process efficiency. Employ statistical methods and data visualization techniques to support research objectives.
• Mathematical Modeling: Develop and apply mathematical models to simulate healthcare operational processes, optimizing resource allocation, patient flow, and overall efficiency.
• Programming: Utilize programming languages such as Python, R, or other relevant tools to automate data analysis processes and create software tools for data manipulation and modeling. Utilize programming languages such as MATLAB and Julia, through GUROBI, CPLEX and other optimization solvers to solve the optimization models.
• Research Support: Assist in designing and executing research discussions. Contribute to literature reviews and research proposal development.
• Reporting: Prepare reports, presentations, and visualizations of research findings and insights for internal and external stakeholders. Effectively communicate complex data-driven information.
• Collaboration: Collaborate with the project team, including researchers, clinicians, and administrators, to ensure the project's goals are met. Actively participate in project meetings and contribute to a multidisciplinary approach.

• Possess a Ph.D. degree or equivalent in Data Science, Operations Research, Mathematics, Computer Science, or a related Management Science discipline.
• Exhibit a robust academic and research portfolio demonstrating experience in advanced data analytics and optimization. This includes a track record of engagement with research projects that have culminated in contributions to peer-reviewed conference proceedings or journal publications (either published or under review).
• Evidence of applied analytical skills, such as the development of novel methodologies or the implementation of optimization models in practical settings, will be highly regarded.
• Demonstrate a capacity for critical thinking, a propensity for innovation in problemsolving, and the ability to synthesize complex information into actionable insights.
• A commitment to ongoing professional development and collaboration within interdisciplinary teams is essential.
• Data Analytics: Proficiency in data analytics, including data cleansing, data manipulation, statistical analysis, and data visualization using tools such as Python, R, or related software.
• Mathematical Modeling: Strong mathematical modeling skills, with the ability to create and apply models for healthcare operations optimization.
• Programming: Proficiency in Python or R, to automate data analysis and create modeling tools. Proficiency in MATLAB and Julia, to solve the optimization models. Proficiency in optimization solvers such as GUROBI and CPLEX.
• Research Skills: Familiarity with research methodologies, literature review, and data collection techniques.
• Healthcare Operations Knowledge: A solid understanding of healthcare operations, including resource allocation, and process optimization. Experience in participating in healthcare management research projects.
• Communication: Excellent communication skills to convey complex data-driven insights to a diverse audience.
• Problem-solving: Strong problem-solving abilities to address research challenges and make data-driven recommendations.
• Teamwork: The ability to work effectively in a team, collaborate with cross-functional stakeholders, and contribute to a multidisciplinary approach.

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