Total 3,534 research nurse job vacancies in Education / Training category in Singapore

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.

Job Description

The IT specialist will collaborate closely with the Principal Investigators and staff from both the Clinical Imaging Research Centre and the Centre for Translational MR Research at the Yong Loo Lin School of Medicine to ensure seamless IT operations.

Responsibilities

IT System Management & Administration (with support from external vendors)

• Manage and administer Windows servers, including OS installation, basic firewall configuration, security patching, and upgrades. Additionally, oversee the creation of virtual machines and deployment of containers (e.g., Docker), management of user accounts and access.
• Basic administration for Linux systems.
• Maintain network infrastructure, troubleshoot basic network issues, and administer systems/servers within the existing networking infrastructure. Manage computing cluster networks, VLANs, and closed networks for specialized medical equipment.
• Administer information management systems, including medical applications such as Picture Archiving and Communication Systems (PACS), Radiology Information System (RIS), and Laboratory Information Management System (LIMS). Coordinate with external vendors for support and maintenance, including Siemens applications and XNAT.

Responsibilities

Project Management

• Lead and oversee IT projects across both Centres, from planning to delivery.
• Foster effective communication and collaboration among stakeholders throughout the project lifecycle.
• Monitor project progress, identify potential delays or issues, and implement mitigation strategies.
• Manage project budgets and expenses, ensuring projects stay within budgetary constraints.
• Provide regular project status reports to stakeholders.

Responsibilities

IT Administration

• Handle IT budgeting for departmental needs.
• Procure IT products through sourcing quotations, tender calls, and market research.
• Manage vendor relationships, including escalation of issues, maintenance contracts, and warranties.
• Maintain an inventory of IT equipment/assets, conduct yearly verifications, and oversee proper disposal procedures.
• Provide ad hoc technical support, including end-user assistance, printer setup, troubleshooting, and replacement of IT equipment parts. Manage documentation such as SOPs.

Qualifications

• Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, or equivalent.
• Minimum 2-3 years of experience in Windows and 1 year in Linux System Administration preferred.
• Familiarity in networking concepts (routing, switching, VLANs, IPv4/IPv6, firewall, TCP/IP) is advantageous.
• Knowledge of LAMP stack (Linux OS, Apache, MySQL, PHP/Python, Java applications) is advantageous.
• Familiarity with OS-level and infrastructure virtualization (e.g., VMware vCenter, vSphere).
• Understanding of DevOps concepts, including containers, is advantageous.
• Strong communication skills with the ability to interact effectively with stakeholders at all levels.
• Self-motivated, able to work independently, and a strong team player.
• Fast learner, highly organized, and positive attitude.
• General knowledge of High-Performance Computing Clusters and scientific software is advantageous.
• Familiarity with XNAT, PACS/RIS systems, and DICOM data archiving/retrieving is advantageous.

Application

Compensation will be based on the candidate’s qualifications and experience.

To apply, please submit your application along with a comprehensive CV containing personal details, academic and employment history, and contact information for two to three referees.

We apologize that only shortlisted candidates will receive notifications.

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

This position will support the Palm and Veg-oil Product Line by analyzing internal and external data sources, ensuring that palm research remains consistently updated, well-informed, and adaptable to market changes.

• Maintain the research database and dashboards, ensure its integrity and accuracy.
• Proactively monitor external data and market intelligence, stay abreast of routine releases, policies, and market trends.
• Analyze and interpret data and information to extract valuable insights.
• Collaborate with the origination research team and Destination PIC to ensure our export demand estimations accurately reflect market dynamics.
• Assist in production estimation and adjustment for both long-term and spot projections, while regularly monitor and update weather indicators.
• Assist in the analysis of new projects and initiatives, provide insights and fundamental-driven analysis to facilitate decision-making processes within the platform.

Experience

• 0-2 years of working experience in research trading or agricultural markets, understanding of agricultural fundamentals.
• Communication – Effective distribution of trading strategies and ideas
• Collaboration – Be able to coordinate research with other stakeholders
• Strong written and verbal communication skills
• Ability to interpret and analyse qualitative and quantitative information

Other skills (Computer Skills, etc)

• Proficient in Microsoft Excel, Power BI. Experience of SQL, Python/coding is beneficial.
• Good to have knowledge in commodity derivatives.

Languages:

• English (Fluent)

Academics

• Bachelor’s Degree in Finance, Economics, Business Analytics or other related fields

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

In this position, you will be working on end-to-end data pipeline implementation from understanding research objectives, collecting data using cameras and wearable sensor technology, exploring methods of data analysis, cleaning and pre-processing of raw data, modelling data using Machine Learning/Deep Learning techniques, and sharing of insights to stakeholders using visualizations.

Our research aims to understand passengers’ sitting behaviours and preferences on a flight so as to improve their in-flight experience. Your key role includes gathering data from sensors in a cabin simulator, leveraging on predictive modelling, and providing meaningful insights. In your day-to-day, you will be working closely with engineers, design researchers, and the project manager.

Requirements

• Bachelor's or Master’s degree (preferred) in Data Science, Computer Science, Engineering, and Mathematics, Statistics or any related field
• Applied experience with statistical modelling (hypothesis testing), machine learning (supervised and unsupervised learning techniques) and modern deep learning architectures (CNNs, LSTMs).
• Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python)
• Proficient in digital signal processing and data analysis
• Familiar with embedded coding and iOS/Android app development using Kotlin, Java, XML
• Experience exploring, analysing, and visualising data.
• Hands-on experience using PyTorch, TensorFlow, Pandas, NumPy, Sklearn, or similar machine learning/scientific libraries.
• Proficient in handling complex requirements and turn into computation logic.
• Candidate should like reading documentation and research papers.
• Able to communicate and relay Data Science solutions adequately to business stakeholders.
• Candidate should be comfortable working on multiple projects and be in a dynamic environment.
• Candidate should be able to work independently as well as be a team player.
• Candidate is required to conduct research studies.
• Must be willing and able to conduct research studies on weekends.

The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.

Key Responsibilities:

• Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
• Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
• Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
• Applications of stochastic programming/approximate dynamic programming approach.
• Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
• Modelling of DER-based integrated grid ancillary services that maintain reliability and stability

Job Requirements:

• Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
• At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
• Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
• Working knowledge in data analysis for clustering and classification
• Ability to work cohesively in an international team to drive the common project objectives.
• Ability to communicate well in English and to present research ideas and findings clearly and concisely

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

The SLim Group is looking for a dedicated and highly motivated early-career scientist as a Research Associate (RA) who is interested in advancing the application of protein cages as MRI contrast agent in identifying atherosclerotic plaques. The RA will be an individual contributor who is a technical expert and will be working in a multi-disciplinary team involving bioengineer, materials scientist, biological scientist, and medical physicist.

Key Responsibilities:

• Setting up protocols for imaging and analyzing the protein cage within the plaques;
• Executing experiments to achieve the specific aims of the project;
• Presenting results in various meetings/forums;
• Preparing reports for submission to the funding agency;
• Liaising with other scientists in the team as well as in other groups to develop the required expertise;
• Advising final year project and/or interns in the project.

Job Requirements:

• Master’s in bioengineering or related fields
• Working knowledge in protein production using E. coli and purification using AKTA FPLC
• Working knowledge in basic molecular biology techniques and protein analytics
• Experienced in protein cage handling
• Highly preferred skills: familiarity with atherosclerosis, MR image processing
• Able to design and execute experiments with minimal instructions
• Good communication skills in both verbal and written forms
• Take initiatives and lead a project and ensure delivery of outcomes in a timely manner
• Team player who will take part in general lab activities

We regret that only shortlisted candidates will be notified.

We are currently recruiting a Research Fellow who will join the laboratory of Professor Simon Redfern at the Asian School of the Environment, Nanyang Technological University (NTU), to work closely with the lead PI on an exploration of the impact of marine alkalinity and geochemistry on the ecological health of coastal environments, in the context of modified desalination brines’ environmental effects, maintain instruments and coordinate with the international community.

Key Responsibilities:

• Develop laboratory experiments to synthesise and study modified seawaters’ effects on biomineralization and marine ecology under controlled environments
• Prepare literature surveys to outline research / technology development in the field
• Employ and develop experimental methods using geochemical analysis methods including FTIR and Raman spectroscopy, EPMA, electron microscopy, X-ray diffraction and XAS, and allied techniques, using both in-house and international synchrotron sources
• Participate in research program, including research experiments and data collection
• Prepare reports and documentations for the research programs, and support data analysis
• Assist in duties related to lab safety, documentation, training of student researchers and outreach

Job Requirements:

• PhD degree chemistry, Earth and/or environmental sciences, materials science
• Evidence of published output in relevant scientific literature
• Basic understanding of the scientific principles behind the research activities
• Attention to detail and procedures
• Effective communication and report writing skills
• Willingness to learn and develop new skills

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

The SLim Group is looking for a dedicated and highly motivated early-career scientist as a Research Fellow (RF) who is interested in advancing the application of protein cages as MRI contrast agent in identifying atherosclerotic plaques. The RF will be an individual contributor who is a technical expert and will be working in a multi-disciplinary team involving bioengineer, materials scientist, biological scientist, and medical physicist.

Key Responsibilities:

• Setting up protocols for understanding the penetration of the protein cage within the plaques;
• Executing experiments to achieve the specific aims of the project;
• Presenting results in various meetings/forums;
• Preparing reports for submission to the funding agency;
• Liaising with other scientists in the team as well as in other groups to develop the required expertise;
• Advising final year project and/or interns in the project.

Job Requirements:

• PhD in Bioengineering or related fields
• Working knowledge in protein production using E. coli and purification using AKTA FPLC
• Excellent skills in basic molecular biology techniques and protein analytics
• Experienced in imaging using confocal microscopy and electron microscopy
• Experience with protein cage and nanoscience/nanotechnology is highly valuable
• Highly preferred skills: familiarity with atherosclerosis and in vivo animal models (especially atherosclerotic model)
• Able to design and execute experiments with minimal instructions
• Good communication skills in both verbal and written forms
• Take initiatives and lead a project and ensure delivery of outcomes in a timely manner
• Team player who will take part in general lab activities

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is an interdisciplinary school at NTU which hosts world-class education and research programs in organic and inorganic chemistry, physical chemistry, chemical engineering, and bioengineering. We aim to nurture future-ready researchers with the ability to tackle new challenges in chemicals manufacturing, healthcare, energy, food, and other important sectors.

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.

Key Responsibilities:

• Focus on the NHC catalyzed rapid synthesis of functional products
• Designing and synthesizing catalysts and other molecules, as well as planning and executing chemical reactions, alongside conducting mechanistic studies
• Designing and synthesizing potentially bioactive molecules, and conducting bioactivity and mechanistic studies (with collaborators when needed)
• Responsible for other research and laboratory duties as assigned by the Principal Investigator

Job Requirements:

• Hold a PhD in Chemistry or a closely related field with a focus on organic synthesis, new methodology development, and the synthesis and biological activity evaluation of functional small molecules.
• Demonstrate a strong record of successful research in the aforementioned areas, including a history of publications and other related achievements in reputable scientific journals and conferences.
• Showcase proficiency in experimental design, data analysis, and interpretation, along with the ability to collaborate effectively with multidisciplinary teams and mentor junior researchers.
• Display a strong understanding of chemical principles and techniques, coupled with the capability to innovate, and contribute to the development of novel chemical entities with potential applications in various fields.

We regret that only shortlisted candidates will be notified.

The Dementia Research Centre (Singapore) brings together novel digital tests, fluid biomarker discovery as well as state-of-the art neuroimaging techniques to understand Asian Dementia as well as to develop strategies to prevent and delay dementia.

Through our work we hope to develop new, cost-effective tools to screen for and treat cognitive impairment years in advance to prevent dementia and reduce the burden of dementia on society, families, and caregivers.

This role will work on the digital health products being developed at the Dementia Research Centre (Singapore) to assist in improving these applications and developing new cognitive games.
Developing and bringing the products from lab to market will also boost innovation and impact the space of dementia and health technology.

Job Description

• Design thinking and ideating
• User journey and experience mapping
• Cognitive game design
• Cognitive game development
• User interviewing
• Backend game data storing
• Data storing/cleaning
• Data analysis
• Assisting with app development with design and programming skills
• Take a lead role in ideation and design aspects of our cognitive apps, clinical interviewing, interacting with participants, data collection, processing and analysis for our digital solutions.

Requirements

• A bachelor’s degree in Computer Science, Software engineering, or a related-field with hands-on experience in one or more of the following: digital projects, hackathons, innovative solutions
• Excellent verbal and written communication skills
• Independent and can work well in a team
• Full-stack app development experience with Javascript and React/Vue
• Passion and interest for innovation in cognitive and mental healthcare

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 Professor Barbaros Oezyilmaz on energy storage and conversion. The main responsibilities include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.
• Conducting high impact research in (1) nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices, etc, and (2) Hybrid nano-composite 3D foam synthesis for high energy battery. New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Job Requirements

• Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.
• Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.
• Candidates should have more than 2 years of research fellow level and more than 3 years experience in energy storage projects.

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus

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.

The School of Materials Science and Engineering has significantly changed over time. It remains dedicated to providing students with cutting-edge scientific and technological skills required by the industry. Additionally, the School has developed into a center of excellence in its specialized research areas. As a component of NTU’s College of Engineering, MSE is now globally acknowledged as a leading research establishment, collaborating with esteemed universities, multinational corporations, and R&D institutions, and attracting funding from various sources.

An ideal candidate for this position should possess a solid background in electrochemistry, materials science, chemistry, and materials physics.

Key Responsibilities:

• Supporting cutting-edge research in small molecule electrocatalysis for electrolysis and fuel cells.
• Primarily investigating the correlation between catalysts' solid-state properties and their performance, including the development of new electrode materials for small molecule catalysis.
• Providing day-to-day assistance to the research team.
• May have the opportunity to undertake open-ended research projects under the supervision of the research team.
• Mentoring and guiding graduate students
• Any other duties as assigned.

Job Requirements:

• A PhD in Chemistry, Physics, Solid-state Physics, Electrochemistry, Materials Science, or a related field.
• Proficient analytical and conceptual skills.
• Capable of working autonomously or collaboratively within an R&D context.
• Demonstrated track record of publishing papers in conferences and journals.
• Willingness and aptitude for mentoring and guiding graduate students on relevant methodologies.
• Consistent production of detailed reports and well-organized documentation.
• Exceptional verbal and written communication skills in English.
• Extensive research background in electrocatalysis, catalyst development for fuel cells, and materials chemistry.
• Ability to contribute effectively as a team member in experimental research support.
• Strong capacity for independent research pursuits.

We regret that only shortlisted candidates will be notified.

The Senior Research Coordinator is responsible for assisting Principal Investigators with the execution of a centre-wide cancer research study. The position involves coordinating and implementing study protocol, and managing daily operational tasks. The ideal candidate will work collaboratively with a multidisciplinary team, including clinicians, nurses, allied health professionals, and other stakeholders, to ensure satisfying consent rate and a positive patient recruitment experience.

Your Key Responsibilities will include:

Project Coordination:

- Coordinate the implementation of a centre-wide cancer research study aiming to recruit all cancer patients, ensuring adherence to study protocols, and regulatory requirements.

- Facilitate communication between the project team, supporting healthcare team, hospital administrators and other internal/external stakeholders.

Participant Management:

- Assist with screening, recruitment, and obtaining informed consent from study participants.

- Ensure proper collection, processing, and retrieval of biological specimens.

- Maintain accurate site files and oversee participant follow-up to ensure continuity and compliance.

Ethics and Compliance:

- Prepare and submit ethics applications and ensure compliance with Good Clinical Practice (GCP) guidelines and other regulatory standards.

- Maintain up-to-date knowledge of relevant regulatory requirements and adapt study procedures accordingly.

Administrative and Operational Support:

- Manage day-to-day operational tasks related to multi-institutional population health studies.

- Collaborate with clinicians, nurses, and allied health professionals to identify and solve system and process issues.

- Support the project team with general administrative duties as needed.

Requirements:

- Bachelor or Master degree in a relevant field (e.g., public health, biology, life sciences, healthcare administration).

- Minimum of 5 years’ relevant experience in clinical research or project coordination is required for this role, as well as experience in staff supervision.

- Well versed Good Clinical Practice (GCP) guidelines and regulations applicable to Health Biomedical Research.

- Proficient in Microsoft Office applications.

- Proficient in English and a second language for ease of communication during patient recruitment.

- Good interpersonal and communication skills; and comfortable interacting with patient, doctors, nurses, and other healthcare professionals.

- Meticulous, a good team player, independent and self-motivated with good time management abilities.

We are seeking experienced and innovative individuals to conduct research on mass rearing and field deployment of male mosquitoes under Project Wolbachia – Singapore. The project focuses on implementing the use of Wolbachia technology as an integrated novel approach to suppress urban Aedes mosquito populations in Singapore. The candidate will be actively involved in multi-disciplinary R&D projects to augment our public health research and surveillance programmes in Singapore.

If you enjoy working in a multi-disciplinary environment where research is translated into evidence-based public health programmes and policies, we invite you to join us. You will be part of a dynamic team that works closely with a network of local and international collaborators to shape our public health landscape.

Responsibilities:

• Lead/co-lead in designing and executing experiments related to mosquito mass rearing, deployment and prototyping of novel equipment
• Identify opportunities for innovation and process improvements
• Translate research to operations and policy
• Develop and review Work Instructions and risk assessments of the production and quality control processes
• Contribute to peer-reviewed publications and present at major scientific meetings

Requirements:

• Excellent team management and leadership abilities
• Strong problem-solving and critical thinking skills
• Ability to manage multiple projects simultaneously
• Proven skills in experimental design, data analysis and scientific writing
• Good physics knowledge, experience with robotics, 3D modelling or/and rapid prototyping will be an advantage
• Willing to work staggered hours or after office-hours, weekends and public holiday

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-TECHPLACE-II-BLK5008-AMK-AVE-5/Snr-Principal-Principal-Research-Officer--Mosquito-Production-Branch---Contract_JR-10000029514

Introduction

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

The centre currently runs several research programmes with the Future Cities Laboratory (FCL) as one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems. In the course of their work, researchers actively collaborate with universities, research institutes, industry, and government agencies with the aim of offering practical solutions.

Project background

The project “Comparative Ecology of Cities” is centred on the proposition that urban pattern-process-function relationships provide valuable knowledge to advance the science of urban planning. The project builds upon emerging theoretical and empirical evidence that patterns of human settlement systems (urban patterns) shape social and ecological processes (urban processes), and such processes in turn, dictate the key demands of urban living such as social relations, mobility, economic exchanges, biophysical environment, ecological conditions, etc. (urban functions). The project will investigate such pattern-process-function relationships across a number of cities to develop generalizations that can be used as urban planning and design principles to guide sustainable urban development, which will be tested in design studios. The main methods employed are remote sensing, spatial pattern analyses, data mining from global datasets, applications of mechanistic and empirical models, and statistical modelling for 5 key domains: urban climate, hydrology, biodiversity, public health and social-economic exchanges.

Job Description

• To coordinate the synthesis phase of the project by integrating information from the different domains of the study, which are in progress to identify trade-offs and synergies, and develop the guidelines and decision making tools for application of the results in land use planning and management.
• To work with team members to publish scientific papers related to the synthesis work.
• To assist in the completion of project report and presentation.
• To assist in project administration.

Requirements

• PhD in relevant disciplines, such as, urban climatology, urban system science, urban hydrology, and urban planning.
• Minimum 2 years of relevant working experience.
• Experience in interdisciplinary project work post PhD and a track record of interdisciplinary research will be evaluated positively.
• A track record in publications commensurate with distance from PhD.

We look forward to receiving your online application with the following documents:

A dossier containing the following pdf documents:

• Your CV, including the publication list
• A motivation letter
• Minimum of 2 referee letters
• 2 samples of publications

Applications via email or postal services will not be considered.

Further information about Future City Lab Global can be found on our website: https://fclg-ep.ethz.ch/

For further information, please contact

Prof Dr Tan Puay Yok ([email protected])

“The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.”

Rehabilitation Research Institute of Singapore invites applications for the position of Research Associate.

Key Responsibilities:

• Assist in the development and application of data analysis algorithms for medical data.
• Participate in research projects, contributing to data collection, analysis, and the preparation of reports and publications.
• Collaborate with team members to identify research opportunities and innovative data analysis strategies.
• Support the maintenance and organization of research data in compliance with ethical standards.
• Engage in continuous learning to improve skills in AI, data science, and medical data analysis.

Job Requirements:

• Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related discipline, with a strong emphasis on AI and data science.
• Experience with machine learning techniques and statistical analysis.
• Familiarity with medical data types, such as neurophysiological data, sensor data, and medical records.
• Proficiency in programming languages used in data science, like Python or R.
• Good communication skills and the ability to work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.Explore the link provided to learn additional details about the available job opportunity:

https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=24432&company=nationalunP2

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

The School of Materials Science and Engineering has significantly changed over time. It remains dedicated to providing students with cutting-edge scientific and technological skills required by the industry. Additionally, the School has developed into a center of excellence in its specialized research areas. As a component of NTU’s College of Engineering, MSE is now globally acknowledged as a leading research establishment, collaborating with esteemed universities, multinational corporations, and R&D institutions, and attracting funding from various sources.

An ideal candidate for this position should possess a solid foundation in electrochemistry, materials science, chemistry, and materials physics.

Key Responsibilities:

• Contributing to cutting-edge research in small molecule electrocatalysis for electrolysis and fuel cells.
• Investigating the relationship between catalysts' solid-state properties and their performance, as well as developing new electrode materials for small molecule catalysis.
• Providing day-to-day support for the research team.
• May undertake open-ended research projects under team supervision.
• Mentoring and guiding graduate students.
• Any other duties as assigned.

Job Requirements:

• A PhD in Chemistry, Physics, Solid-state Physics, Electrochemistry, Materials Science, or a related field
• Strong analytical and conceptual skills
• Capacity to work autonomously or as part of a team in R&D projects
• Track record of publishing papers in conferences and journals
• Willingness and ability to train and advise graduate students on relevant procedures
• Consistent reporting and meticulous documentation of work
• Excellent English language skills, both written and oral
• Extensive research background in electrocatalysis, catalyst development for fuel cells, and materials chemistry
• Ability to contribute effectively as a team member in experimental research
• Demonstrated capability for independent research

We regret that only shortlisted candidates will be notified.

We are seeking a research fellow to join RRIS. The research fellow will play a crucial role in managing the daily operations of the institute, driving our research initiatives forward, and ensuring that our projects are executed effectively and efficiently. This position reports directly to the Co-Directors of the Institute and works closely with various teams to foster innovation, collaboration, and excellence in rehabilitation research.

Key Responsibilities:

• Research Leadership and Management: Oversee ongoing research projects, ensuring they align with the institute’s objectives. Spearhead the development of new research proposals, securing funding and resources necessary for execution.
• Operations Management: Assist in the daily administrative operations of the institute, including budget management, staff coordination, and the implementation of policies and procedures to enhance operational efficiency.
• Team Development and Mentoring: Play an active role in the recruitment, training, and development of research staff. Mentor junior researchers and support staff, fostering a culture of learning and professional growth.
• Collaboration and Partnership Building: Cultivate relationships with academic, clinical, and industry partners to advance the institute’s research goals. Represent the institute in professional forums, conferences, and collaborations.
• Dissemination of Findings: Ensure the findings from research activities are disseminated through appropriate channels, including peer-reviewed publications, conferences, corporate channels and public engagement initiatives.

Job Requirements:

• PhD in Science, Engineering, Neuroscience, Psychology, or a closely related field.
• At least 3 years of postdoctoral research experience, preferably within a research institute or academic setting, with demonstrated expertise in the related area.
• Strong leadership and management skills, with the ability to motivate, guide, and develop a diverse team of professionals.
• Proven track record of managing a center, institute, or a team.
• Exceptional verbal and written communication skills, with the ability to effectively convey complex information to a variety of audiences.

We regret that only shortlisted candidates will be notified.