Responsibilities

· Utilizes independent judgment in performing both routine and complex laboratory tests using a variety of techniques, instrumentation, and equipment in order to assist the physician in the diagnosis and treatment of disease.

· Performs complex chemical, biological, hematological, immunologic, microscopic, and bacteriological tests.

· Examines and analyzes body fluids and cells and matches blood for transfusions.

· Analyzes chemical content of fluids and tests for drug levels in the blood

· Prepares specimens, counts cells, and looks for abnormal cells in blood and body fluids.

· Analyzes test results and relays them to physicians.

· Exercises professional judgment in order to prioritize and evaluate varying test requests efficiently.

· Follow procedures for collecting and processing Biological specimens.

· Performs analytical testing procedures with accuracy and precision.

· Demonstrates scientific knowledge of testing principles, analytic procedures, and their results allowing for appropriate interpretation in conjunction with disease and physiology. Integrates multiple data to resolve problems.

· Implements and monitors quality control, new equipment, and/or methods.

· Performs tasks efficiently and maintains work area.

Requirements

· Min Diploma in Biomedical Sciences/Other relevant fields

· No experience required as training will be provided

Interested candidate, kindly send a copy of your resume to [email protected]



Adeline Lim Xin Ying [R23112000]

Email Address: [email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

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.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Chiba group. The Chiba group in CCEB is pursing development of new synthetic routes that allows for efficient synthesis of biologically active complex organic molecules of pharmaceutical interests.

The Research Fellow will take on a significant role in the development of new molecular transformations driven by electricity and light for the synthesis of complex molecules.

Key Responsibilities:

• Conduct daily experiments and analyze data obtained from experiments
• Oversee the project team to ensure timely progress and achievement of research goals.
• Submit weekly reports summarizing experimental results and progress.
• Present research updates in group meetings through oral presentations.
• Assist in planning and preparing future funding proposals.
• Summarize research findings for paper publications.

Job Requirements:

• PhD in synthetic organic chemistry with more than 5 years’ experience in the relevant areas as graduate and/or postdoctoral fellow level in advanced institutions
• Proficiency in using various analytical equipment such as NMR, Mass Spec, IR, UV-vis and Potentiostat
• Ability to handle air-sensitive materials and work with transient species in synthetic chemistry

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

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

A research position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• Bachelor’s / Master's degree in computer science or related degree
• Strong publication record in top-tier IEEE conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

You will be part of the team responsible for the operational support of Authority's Service Desk and expected to work independently. Your primary responsibility is to ensure system functionality, availability, data security, and compliance with industry standard.

Responsibilities:

a. Providing level 1 technical support and respond to user inquiries via phone, email and ticketing system.

b. Hardware – installation, maintenance and trouble-shooting.

c. Diagnose and resolve hardware and software issues for end-users.

d. Escalate complex issues to higher-level support teams as necessary.

e. Maintain and update service desk documentation and knowledge base articles.

f. Proactively identify and manage potential problems

g. Conducting regular checks to ensure all endpoints are patched to the latest version.

h. Conducting regular checks to ensure all endpoints and communication devices in meeting rooms are working properly.

i. Collaborate with other IT team members on projects and initiatives.

j. Provide training and guidance to end-users on IT systems and software.

You will be working closely with the Service Delivery Manager and other Workplace Technology support team to ensure that all endpoints and communication devices are provision for properly and all incidents and service requests are resolved in a timely manner.

We are seeking a dedicated and enthusiastic Teaching and Curriculum Associate for Science to join our educational team. This position offers a unique opportunity for fresh graduates to embark on their teaching career. The Teaching Associate will be responsible for delivering engaging and effective science education at the primary school level. This role requires a passion for science, the ability to connect with students, facilitate engaging lessons, and contribute to the academic and personal development of young learners.

Academia's mission is to make learning intuitive in order to maximize educational outcomes for every student. We blend the best of the local education system with strong instructional scaffolding, research-based pedagogy, and elements from liberal-arts colleges and the humanities, to empower our students to be smart, confident, and in control of their educational futures.

We offer competitive compensation and benefits, career development opportunities, and a supportive work environment where your creativity and passion for teaching will be valued and appreciated.

Responsibilities

• Deliver physical and online lessons in a professional manner and manage students in a classroom setting
• Review student work and provide in-depth feedback and mark-ups
• Engage with both students and parents to provide advice and guidance, while building trust and rapport
• Provide curriculum feedback and develop engaging educational content as part of the curriculum team

Profile and background

• A high level of proficiency in English is required for clear communication and effective instruction.
• Fresh graduates with a Bachelor’s degree in Science, Engineering, or a related field are encouraged to apply.
• A strong interest in teaching as a long-term career is essential.
• Effective communication skills, to work as part of a team, and interact with parents and students.
• Patience, empathy, and the ability to connect with young learners.
• An interest in current trends in science education and a willingness to learn and apply new teaching strategies
• Applicants must be able to work on at least one weekend, due to the nature of the tutoring industry. Applicants who are willing to work on both weekends will be considered favourably.

Employee Value Proposition

• Be part of an educational organisation with a progressive vision for student learning
• Work collaboratively with other like-minded educators with a passion for student development
• Freedom and opportunity to apply academic ideas in the form of educational content

If you are a fresh graduate who is passionate about teaching and making a difference in the lives of students, we would love to hear from you. Applicants who are making a career-switch, or who have minimal experience, are also welcome to apply through this job listing.

Working hours:

Wed & Thurs, 3:30pm to 10pm

Fri, 2pm - 10pm

Sat, 8am to 8:30pm

Sun, 9am to 6:30pm

Job Responsibilities:

• Prepare lessons and worksheets

• Assessment of students' work

• Contribution to curriculum development

• Manage class size of about 10 students

Job Requirements:

• To teach Sec Math and Science

• Preferably with at least 1-2 years of teaching experience

• Passionate about teaching and are constantly able to see the best in a child

• Familiar with Singapore curriculum

• Able to work on weekends

Successful candidates will be assigned to different job role depending on education level and experience.

1. Responsible for performing all monitoring aspects of clinical trials and assist to set up, review and maintain project files to ensure compliance as stated in ICH E6 GCP to assure all trials are conducted in strict adherence to good clinical practices, regulatory obligations, investigator integrity and compliance with project specific requirements

2. Responsible for preparing, organizing, managing feasibility, site selection and investigator identification, initiation, monitoring and close-out visits in accordance with sponsor's and/or company's standard operating procedures (SOPs) and study requirements with the highest standards

3. Planning, develop, compile and/or review all study-related regulatory and administrative documents from investigational sites, monitoring visit reports, work progression reports and other study-required documents

4. Develop, compile and/or submit dossiers include initial/amendment/interim report/safety reporting to regulatory and/or ethics committee for review and follow up until approval, as required

5. Management in planning, coordinating, organizing and attending all study-related meetings and activities for sites as required

6. Manage/support project(s) in the capacity of lead CRA role and/or other designated project roles to undertake all or partial responsibilities and tasks as required, whenever designated by the Company

7. Support/Assist in Site and CRO audit or inspection as required

8. Support business development activities (e.g. search new project related information) as required

9. Proactively identify and facilitate resolution of complex study problems and issues.

10 Actively work towards achieving good personal relationships with the project Team members

We are looking for CRAs to work for either our Singapore or Malaysia Team.

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

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

Be independent in research of advanced speech and audio algorithms and the development or implementation of such algorithms for embedded systems.

• Experience or knowledge of acoustic tests measurements for data acquisition and be familiar with state-of-the-art testing equipment.
• Experience of conducting objective/subjective evaluation of various audio algorithms on speech enhancement, active noise control, binaural rendering.
• Extensive experience in signal processing, acoustic modelling, adaptive filtering, noise suppression, active noise cancellation, hearing through etc.
• Ability handling C, Python, and script codes for system modelling, simulation and system implementation.

Qualifications Requirement:

• PhD with relevant experience (fresh PhD graduates are welcome).
• Extensive knowledge in at least one of the areas including: signal processing applied to audio, active noise control, speech enhancement, adaptive filtering and microphone array signal processing.
• Solid mathematical background.
• Working knowledge of C/C++ and/or Matlab/Python scripting as well as DSP algorithm optimizations
• Highly Desired:
  • Expertise in AI applied to audio, with hands-on experience in at least one deep learning framework in Python
  • Hands on experience in DSP code optimization and deployment for embedded audio systems
  • Knowledge and expertise of earphone active noise cancellation/hear through algorithm design and tuning, measurements and etc.
  • Top-ranking and/or award receivers in world competition in speech/audio signal processing field

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

• Project Administrator
• Work location: Science Park
• Mode: Contract 1 yr renewable

Job requirements:

• Screen candidates by reviewing resumes
• Coordinate & follow-up the overall interview, selection, and closing process
• Ensure all screening, hiring, and selection is done in accordance with employment laws and regulations
• support the operation of the Technical Training department by assisting with administrative tasks, coordinating training schedules, maintaining records, and liaising with internal and external stakeholders.
• other admin PMO related tasks or adhoc task
• Diploma / Bachelor's Degree in Human Resources, Business Administration, or related field
• 2 to 3 years of recruiting experience in IT Field
• Ability to communicate effectively, both orally and in writing
• Demonstrated ability to establish effective and cooperative working relationships built on trust
• Excellent organizational and time management skills
• Ability to manage a wide range of relationships with a variety of stakeholders
• Proficient in Microsoft Office
• Working knowledge of interview techniques and applicant screening methods
• Deep understanding of employment laws and regulations

Interested applicants please send resume to [email protected] for a faster respond.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital ward

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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.

We are an education centre located in Ang Mo Kio and Hougang, looking for passionate part-time Primary and Secondary level Teachers to join us in 2025!

All Materials and Training will be provided. Back to back classes arranged. Maximum of 8 students a class.

Attractive Hourly Rate:

• Primary Level: Up to $60/hr
• Secondary Level: Up to $70-$80/hr

Classes Available:

• Primary Level: Math, Science
• Secondary Level: Math, Science, Chemistry, Physics

1. Weekdays between 4pm to 9pm, depending on allocated classes
2. Weekend between 10am to 6pm, depending on allocated classes

Indicate the subjects and levels you have taught in your resume.

Job Highlights

• Fun and friendly working environment
• Flexible working hours with training provided

Job Description

• Delivering lessons in accordance with StarChamps's curriculum for students between pre-Primary to Secondary level, using various teaching methods to ensure a high quality of learning.
• Marking students' work and going the extra mile for weaker students.
• Classroom administration.
• Completing student progress reports for students each month.
• Establishing and maintaining good relationships with students and parents.
• Providing term updates to parents on students’ performance and progress.
• Create and maintain a safe and conducive learning environment for students, safeguarding their safety and health at all times.

Job Requirements:

• A Degree in any discipline
• Minimum 2-3 yrs of teaching experience
• Must have the passion to teach
• Has to be comfortable with use of technology in class
• Classes available on weekdays 4pm~ & weekends 10am~
• Can commit for at least one full academic year [new academic year starts in January 2025]
• Training will be provided
• Able to commence on short notice

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital ward

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

NGAP PROJECT

N-GAP: Nanophotonic GAtes with exciton-Polaritons

Many technologies and platforms have been suggested to build a quantum computer, including ions, atoms, electrons, and superconducting materials. Among these options, all-integrated photonic platforms that allow creating complex circuitry with a small footprint are very promising.

In N-GAP we will explore and exploit a hybrid state of light and matter, the excitonic polariton, to create a platform for quantum computing. Exciton polaritons, which emerge from the strong-coupling of an exciton and a photon, exhibit Kerr nonlinearities typically three orders of magnitude stronger than that found in standard photonic nonlinear crystals. The main objective of N-GAP is to further enhance the nonlinearity of the polariton systems to achieve the first experimental realisation of a deterministic CNOT gate based on polariton systems, which is the essential building block of a quantum computer.

Read more about the N-GAP project here.

DESCRIPTION

Transition metal dichalcogenides MX2 materials (where M=Mo or W, and X=Se or S) are one atom thick 2D layers containing heavy elements (e.g. Mo). These two properties render the optical properties of this material family unique, with electronic optically-active excitations that are extremely robust and that dominate their optical response even above room-temperature. Interestingly, the exciton-exciton interaction strength as well as the excitonic fermionic saturation have been measured to be larger than those predicted by the hydrogenic model describing excitons in conventional bulk semiconductors. This explains why just one single monolayer of TMD is able to display an interaction strength comparable to “thick” single and multiquantum wells. Furthermore, in TMDs this interaction strength can be further enhanced by using either Rydberg excitons, which have displayed an almost 5-times enhancement, charged excitons (i.e. trions), which have shown a factor 10 enhancement, or dipolaritons, which are built upon indirect excitons in stacks of TMDs and which have shown a ~10-fold enhancement.

In N-GAP we plan to exploit this enhanced exciton-exciton (or, equivalently, polariton-polariton) interaction strength by integrating TMDs into vertical and horizontal optical microcavities combining large quality factors and reduced mode volumes, as schematically shown in the Figure below. The research fellow will contribute to the optical spectroscopy of the microcavities paying special attention to the assessment of the polariton-polariton interaction strength under different configurations and to the analysis of the quantum properties of light interacting with such microcavities.

EXPERIENCE & QUALIFICATIONS

• Candidate must hold a PhD or equivalent University level diploma in Condensed Matter Physics and/or Photonics and/or Optoelectronics.
• Candidate must be experienced in optics and/or optical spectroscopy.
• Further experience in clean-room processing would be welcome.
• A solid knowledge of written and spoken English is mandatory.
• We expect good interpersonal skills, the ability to thrive in a diverse, multidisciplinary environment, and the ability to present work at international conferences.

FURTHER INFORMATION & CONTACT

Salary range: 106 kSGD (adjustable depending on suitability and experience)

Duration: 1 year position, renewable yearly for a maximum of three years (depending on results)

Workplace address:

Majulab (CNRS) – NTU, School of Physical & Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371

Interested applicants please send your resume to:

Email : [email protected]

and

Email : [email protected]

Subject template for application by email:

NGAP – Research Fellow – Spectroscopy of 2D microcavities

Applications consisting of

– A letter of motivation

– CV

– Copies of degrees and certificates

– Two (maximum) recommendation letters

Salary: up to $4000
Duration: 1 year direct contract

Working Days & Hours: Mon-Fri Office Hours

Location: Novena

Job Description:
Pre-Study

1. Coordinate study start-up activities, including assisting with feasibility reviews and furnishing of regulatory documents

2. Plan, organize and coordinate the workflow of the study

3. Development of materials and tools required for study start-up

4. Coordinate all mandatory training requirements and documentation

Study Recruitment and Conduct

1. Assisting with informed consent process by providing information to and educating research subjects, data collection and surveys

2. Coordinate all relevant subject visits, ensuring minimum deviation from schedule of visits

3. Ensure projects can be completed within the time frame and facilitate smooth running of research projects

4. Assist PI to ensure timely amendments to study documents when required

Study Monitoring, Audit and Inspection

1. Monitor the quality of research ensuring compliance with HBRA, GCP, ICH guidelines and standards

2. Conduct monitoring visits including Remote Monitoring and Site Monitoring

3. Assist with all external monitoring, audit and inspection visits

4. Monitor the financial aspects of the assigned study and advise the stakeholders accordingly

5. Work with PI and department to respond to any audit findings and implement approved recommendations

Study Closure

1. Assist with study closure activities including archival and assisting with all audits/ inspections/ monitoring

2. Ensuring proper closure of study with all ethics and regulatory authorities

3. Ensuring proper archiving of all study records including medical records, study documents, investigator files, subject files etc

Job Requirements: Min Degree in Life Sciences or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital ward

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (postdoc) position in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS). The primary objective of this position is to foster a profound design principle towards novel, efficient and robust electrochemical catalysts and reactors for the efficient conversion of CO2/CO into multi-carbon products, i.e., ethylene, ethanol and propanol.

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

Job Requirements

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

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital ward

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599