Job Description :

We are looking for candidates to join the fusion-energy effort in the newly formed Future Energy Acceleration & Translation (FEAT) Programme, A*STAR. FEAT's plasma physics team focuses primarily on plasma diagnostics, microwave and radiofrequency (RF) heating and current drive (H&CD), and exhaust, with an emphasis on solving the challenges faced by future fusion energy systems. The new hires will be expected to contribute to, and potentially lead, research in magnetic confinement fusion. This includes analytical, computational, and experimental approaches, with the particular emphasis dependent on one's interests and skill set. While the new hires will begin by working on existing projects, participation in grant calls as a principal investigator will be highly encouraged.

We are looking to fill several positions in:

• Plasma diagnostics, including experimental, computational, and AI approaches.
• Theory and simulation of microwave and RF H&CD.
• Theory and simulation of plasma-material interactions, including edge turbulence and transport, sheaths, and sheath-edge coupling.

The key scope of work includes:

• Understanding the physics of fusion plasmas, exhaust, plasma diagnostics, and/or RF H&CD.
• Publishing peer-reviewed papers.
• Writing grants and developing the direction of fusion research in FEAT.
• Supporting local and international collaborators in fusion research.
• Supervising students and interns (optional).

Job Requirements:

• PhD in Physics, Plasma Physics, or equivalent, with a background in magnetic confinement fusion, such as in plasma physics and/or engineering with at least 5 years of relevant experience.
• Deep knowledge in at least one of the followings:
  1. Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will have the opportunity to travel to international collaborators' experiments for extended periods.
  2. Theoretical plasma physics (such as plasma waves, turbulent transport).
  3. Computational plasma physics (such as full-wave, beam tracing, fluid dynamics, gyrokinetics).
• Proficiency in programming languagues such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills both oral and written, ability to adapt and work effectively as a member of a team.
• Resourcefulness and self-motivation with a high degree of professional integrity

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.

Job Specifications

• Process accounts and incoming payments in compliance with financial policies and procedures
• Verifying, classifying, posting and recording accounts receivables’ data
• Generate reports detailing accounts receivable status
• Perform cash collection & cash count
• Update/offset receipts from customers
• Prepare bank deposits
• Ensure timely submission of Statement of Account (weekly / monthly)
• Facilitate payment of invoices due by sending bill reminders, follow up with customers on payments and contacting clients
• Liaise with sales team/customer service on clients’ billing issues, CN and payment discrepancies
• Assist in AP when required

Job Requirements

• At least LCCI or any other Professional Certificate/NiTEC in Accountancy or equivalent.
• Minimum 2 Year(s) of working experience in the related field.
• Knowledge in Navision system will be an advantage
• Proficient in Excel
• Positive and Hardworking

Job Description:

- Main contact point for customers.

- need to liaise with warehouse and suppliers related to their account they handled

- handling of inbound and outbound of the customer shipment, includes discrepancies

- handles emails, and phone calling.

- arrange local transportation, Courier booking or export booking if any

- Generating of report

- inventory management and Stock take

- Month end Billing

- any other ad hoc request from superior

- backup buddy system

- working hours - Mon to Friday 8.15am to 5.30pm

- OT Required (if requested)

- Purchase Invoice accounting, payment to supplier

- Custodian of Cash and Bank Payments and Bank Reconciliation

- Customer Accounts review and receipt of Payment and Reconciliation

- Prepare GST information for quarterly GST report / filing

- Prepare supporting schedules, including month-end and year-end closing

- Prepare the regular annalysis report for COO

- Assist Audit process and preparation of Reports etc.

Singapore Advanced Research and Education Network (SingAREN)is Singapore's National Research and Education (R&E) Network and the sole provider of local and international networks dedicated to serving the R&E community in Singapore. SingAREN facilitates high-speed transfers of large datasets, both domestically and across international boundaries, for scientific research and enables advanced network technology demonstrations through its resilient links and high-speed fibre network.

The SingAREN Open Exchange (SOE) interconnects Singapore’s R&E community to the R&E networks in other countries, including Asia, Australia, Europe and the US. For more information, please visit singaren.net.sg

We invite you to join SingAREN’s dynamic team as:

Administration Executive

You shall play an integral role in supporting the Finance and Administrative functions of SingAREN. You will be involved in Finance, Membership & Contracts, HR, and other administrative activities of SingAREN.

Key Responsibilities

Finance

· Manage Accounts Receivable and Accounts Payable (billing to customers, follow up on customers’ payments, process payments to vendors)

· Perform bank reconciliation

· Maintain accurate records for billing and payments

· Process staff’s reimbursement claims

· Support preparation of management accounts, audits and regulatory reporting

· Monitor and renew status of financial assets

Administration

· Key liaison person for the full spectrum of activities relating to Membership and Service subscriptions, including new sign-ups and contract management.

· Minutes taking, scheduling and logistical support for meetings, including company meetings and visits by external parties.

· Plan, facilitate and coordinate company events and employee welfare

· Provide administrative support for SingAREN’s procurement activities

· Support Human Resource activities as assigned

· Oversee office operations such as replenishment of office supplies and pantry items

· Support ad-hoc projects and other duties as assigned by the Reporting Officer

Requirements

· Diploma in Business Administration, with at least 3 years of relevant work experience.

· Proficient in Microsoft Office, in particular Microsoft Excel

· Competent in working with financial data

· Attention to detail and high level of accuracy

· Excellent writing skills

· Excellent analytical and problem solving skills

· Self-motivated, mature, resourceful and adaptable

· Ability to work independently and as a team player

· Possess effective communication and interpersonal skills

This is a contract position on a renewable basis.

A Scientist position is available at the Hair & Pigmentation Development Laboratory within A*STAR Skin Research Labs, a partner in the Skin Research Institute of Singapore. This candidate will become part of our research group to elucidate mechanisms regulating hair morphogenesis, growth and regeneration. This project will take up 100% of his/her time. The research fellow will lead the project and oversee a team composed of a research officer and a student.

Job Responsibilities:

• Cell culture of primary skin cells
• 2D and 3D co-culture models of hair follicle cell
• Prospective isolation of human and mouse hair follicle cells
• Whole and spatial transcriptome analysis
• Hair induction mouse models

Job Requirements:

• Degree in Biology, Bioengineering, Life Sciences or equivalent
• Advanced cell culture and molecular techniques
• Experienced with 2D and 3D skin organotypic assays
• Experienced with mouse in-vivo models
• Experienced with RNA, single-cell and spatial transcriptomics analyses
• Excellent communication (verbal and written) and presentation skills
• Highly motivated, passionate about science, committed to laboratory work and able to work flexible hours, as required by experimental planning

Key Responsibilities:

• Payroll Processing:

Responsible for the timely and accurate processing of Payroll

Handle staff resignation and income tax related matters

Support in administration of staff benefits includes reimbursement, update of Annual Leaves, Medical Leaves & etc.

Cross checking new hire staff personal data keyed in by TA team.

• System Maintenance and Support:

Maintain and update the payroll system, ensuring it is functioning correctly and efficiently.

Implement system upgrades and patches as necessary, working with IT and software vendors.

• Compliance and Reporting:

Ensure compliance with local laws and regulations related to payroll, tax, and statutory requirements.

Assist in audits and inspections by providing necessary payroll information and documentation.

• Process Improvement:

Identify opportunities for process improvements and automation within the payroll system.

Develop and implement best practices for payroll operations to enhance efficiency and accuracy.

Collaborate with HR, finance, and IT teams to streamline payroll processes and integrate systems.

• Documentation and Record Keeping:

Maintain accurate payroll records, ensuring all employee information is up-to-date and securely stored.

Document payroll processes and procedures, creating and maintaining a payroll manual for reference.

Ensure timely and accurate filing of payroll-related documents and records.

Any other ad-hoc duties as assigned

Qualifications:

Diploma in Human Resources, Accounting, Finance, or related field.

Minimum 3 years of experience in payroll administration, preferably in a similar role.

Proficiency in payroll software and systems; experience with InfoTech is an asset

Strong understanding of Singapore payroll laws and regulations.

Excellent attention to detail and accuracy in handling payroll data.

Strong analytical and problem-solving skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

The NeuroPhenomics Lab is dedicated to the profound exploration of brain tumor biology, focusing particularly on key driver mutations like IDH1 and IDH2. These mutations significantly contribute to the development of aggressive malignant gliomas by altering chromatin structure and genome methylation, thus influencing tumor evolution. Beyond this, our lab is committed to identifying other genetic alterations with potential clinical relevance.

We are currently seeking a Research Officer who is passionately interested in translational cancer research. The ideal candidate should have a robust background in biochemistry, with a preference for experience in protein engineering and antibody work.

Job Requirements:

• A Bachelor"s or Master"s degree in Biology, Biochemistry, or Biochemical Engineering.
• In-depth knowledge of PCR and molecular cloning.
• Experience with proteins and antibody engineering is preferred.
• Proficiency in wet lab techniques.
• Strong teamwork abilities; leadership experience is highly desirable.
• Ability to work independently with a proactive approach.
• A positive and eager attitude toward learning, coupled with responsibility and excellent organizational skills.
• Advanced skills in critical thinking, communication, and building interpersonal relationships.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on designing, adapting, and implementing cutting-edge mechanical and electronic systems for a decentralized food manufacturing model. As part of the Proteins4Singapore project, this role involves on utilizing simulations and advanced control systems to optimize and ensure quality in novel food textures and forms. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from mechanical engineering, mechatronics, and food engineering. This is a 1-year contract with the possibility of extension after the first year.

Key Responsibilities

• Develop a closed-loop control system to synchronize high-moisture extrusion and shape manipulator systems with a seamless integration and quality assurance.
• Integrate a variety of non-invasive sensors for a continuous and active monitoring on a food shape manipulator system.
• Develop and adapt custom firmware to integrate extrusion, in-line monitoring and control system with software protocols.
• Work closely with interdisciplinary teams to combine multiscale structural analysis with food processing methods, such as 3D printing and extrusion, supporting the project’s overarching goals of promoting sustainable food technologies and creating novel approaches for analyzing food texture.
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Proficient in firmware and software development, with experience in real-time systems, control algorithms, and open-source platforms.
• Strong background of at least 3 years in mechatronics, electronic systems, and automation; ideally experience with CFD, FEM simulations, and rheology for material flow analysis.
• Experience with food processing technologies, particularly food-grade and semi-solid materials, and a focus on safety and user-centric design.
• Publication as key author in related journals.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Mechanical Engineering, Mechatronics, Food Processing, Industrial Engineering, or cognate discipline from a reputable university.
• Demonstrated ability in firmware programming and real-time process control integration.
• Strong communication skills, both verbal and written, with the ability to document processes and present findings effectively.

What we offer

• A collaborative and inclusive research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application including a cover letter and detailed CV to [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note 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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

1. The RTO Shall supervise all civil, structural and geotechnical building works, including structural elements for architectural work, building services, electrical and mechanical (M&E), and specialist engineering works for compliance with the PUB/LTA’s requirements and other authorities’ and agencies’ requirements for permanent works and temporary works.

2. The RTO shall be independent and energetic to perform permanent shift work or late night supervision and project management work.

3. The RTO shall be competent with all necessary Ministry of Manpower WS requirements e.g. Work-At- Height (WAH), Lifting work, Permit-To-Work (PTW) etc.

4. The RTO shall possess high proficiency in MS Excel, Power-point and maintaining of proper daily work progress record.

Responsibilities

• Assist in overtime and payroll calculation
• Answer employee queries regarding leave, salary and overtime
• Update and maintain leave records in Info-Tech system
• Update and maintain employee records in Info-Tech system
• Coordinate document submission with site staff
• Assist in recruitment
• Assist in all foreign worker matters
• Assist in recommending, sourcing and booking of training courses for staff development
• Provide advice to The Management regarding employment legislation and HR practices
• Any other ad-hoc work

Requirements

• Knowledge and understanding of MOM employment law
• Higher Nitec with 2 years work experience, ideally in a construction related field
• Knowledge of Info-Tech software
• Able to communicate effectively with local and foreign employees of all levels
• Willing to learn and grow
• Able to work in a team
• Good work ethics
• Positive character and attitude

Other information

• Working hours: Mon - Fri, 8.30am to 6pm
• Working location: Tampines West

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of the next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Who are we looking for?

We are seeking a highly skilled and motivated Air Quality Modeller to join HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers the post holder will lead on building various emission inventories and air quality models for Singapore which incorporate the various air pollution sources in the country and allow for linkage with the geolocations of participants of the Singapore 100K cohort (SG100K), including some geo-located behavioural data. The models will also be set-up and used subsequent scenario modelling to estimate the impact of interventions on air quality and health and disentangle the various sources through source apportionment. This role requires a multi-skilled individual that can work independently and collaboratively in a multidisciplinary team environment.

Key Responsibilities:

• Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking emission inventories to air quality models and spatially and temporally assigning exposures for human participants in subsequent epidemiological analyses and health impact assessments.
• Data, identification, production, and assembly: Collaborate with team and external scientists, national and local organizations, and conduct independent literature reviews to produce and synthesise the required data sources with high temporal and spatial resolution and to link data across various sources.
• Data verification validation: Identify and use various primary collected data and published secondary data from peer-reviewed and grey literature to verify and validate produced emission and air quality model outputs. Ensure model robustness through cross-checking, calibration, and validation through multiple iterations.
• Model building: Build operational and validated air quality models and link their outputs to human participants in static (e.g. at home address) and dynamic exposure (assigning exposures to other locations outside the residential address only e.g. while travelling) assignment for diverse population groups.
• Support: Provide technical support and training to researchers.
• Documentation: Create and maintain comprehensive documentation for model development, verification, and validation. Support project reporting and paper writing and submission to peer-reviewed journals.
• Innovation: Stay updated with the latest advancements in emissions and air quality modelling, and exposure assignment, to incorporate new technologies and methodologies.
• What skills will you need?
• Education: PhD degree in a relevant field.
• Experience: Proven experience in emissions and air quality modelling and validation.
• Technical Skills:

1. Expertise in emissions modelling
2. Expertise in air quality modelling and air pollution dispersion models such as ADMS-Urban and assigning exposures to other locations outside the residential address only
3. Expertise in geographical exposure assignment including for data with high temporal and spatial resolution
4. Practical experience of model building, verification, calibration, and validation
5. Understanding of health effects and health impact assessment methods
6. Proficiency with spatial analysis tools, databases, and libraries (e.g., ArcGIS, QGIS, PostGIS) and programming languages (e.g., Python, R) for GIS applications
7. Proficiency in programming languages such as R, more advanced coding e.g. C++ or Java would be an advantage
8. Knowledge of and interest in the study of air pollution’s health effects and its methodological challenges

• Communication: Excellent verbal and written communication skills in English, with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• Research Methodology & Critical Thinking: Strong foundation in research methodology, critical thinking, and problem-solving abilities
• Proficiency in Office & Collaboration Tools: Strong skills in Microsoft Office applications (e.g., Excel, Word, PowerPoint) and familiarity with collaboration tools (e.g., Teams, Slack, SharePoint, GitHub).
• Independent & Collaborative Work: Ability to work independently on complex research tasks while effectively collaborating with multidisciplinary teams across multiple institutions and projects.
• Ethical Research Practices: Commitment to maintaining high ethical standards in research, including data integrity and responsible conduct.

Preferred Qualifications:

• Publication & Presentation Experience: Experience in publishing research in peer-reviewed journals and presenting findings at conferences or academic settings.
• Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets.
• Knowledge of software development methodologies and best practices.
• Familiarity with remote sensing and GPS technologies.
• Experience working with sensitive (e.g., personally identifiable) data.
• Experience or exposure to environmental epidemiological studies.

What can we offer you?

• A stimulating working-environment with friendly, highly motivated colleagues.
• Opportunities to develop and implement new ideas in a creative environment.
• A competitive salary in line with your skills and experience.
• A comprehensive medical insurance cover as part of your employment.
• Opportunity to work as part of a world-leading scientific research programme.

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

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.employmenthero.com/jobs/cambridge-cares-air-quality-modeller-ai-researcher-for-hd4-hk-jw-7h79g.

If you have any questions, please feel free to reach out to the HR team at [email protected].

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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will work on experiments and numerical modelling of 3D breaking waves and wave-current interaction. The candidate should have strong knowledge background in terms of waves, currents, turbulence, etc. Experience with experiments and CFD model will be advantageous. Only shortlisted applicants will be notified.

Job Requirements

• Possess at least a Masters degree in Civil Engineering with related research experience.
• Candidates with background in fluid mechanics, coastal and ocean engineering, experimental methods are encouraged to apply.
• Strong written and spoken communications.
• Good in quantitative analysis.
• Strong written and spoken communications.
• Good knowledge of CFD analysis and programming skill is an advantage.
• Open to fixed-term contract.

Please apply here: https://talent.sage.hr/jobs/9ace774d-e61b-4f47-836f-9fe098d9a2b1

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Cybersecurity Research Fellows with the following backgrounds:

- Cybersecurity Research & Engineering

- Cybersecurity threat modelling

- Network Intrusion Detection

- Cryptography

- Anomaly Detection

- AI Security

As Cybersecurity Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for. Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Role:

As the Program Officer, you will support the APLMA secretariat in driving awareness on the importance of malaria elimination, advocating for key issues to sustain elimination progress and ensuring malaria remains a highly visible locally, regionally and globally. You will also support communications efforts as well as provide broader support to the APLMA Secretariat’s advocacy efforts to elevate visibility of the Asia Pacific region’s drive to malaria elimination.

Responsibilities:

Program Communications

• Under the guidance of the Communications Manager, support and administer APLMA’s social media, digital engagement, website and newsletter.
• Develop and curate content, social media posts to amplify and profile key malaria elimination efforts and achievements in the region.
• Screen, curate and share media/journal/online articles relevant to APLMA's work and goals.
• Assist in the production of media kits, reports, websites, videos, campaigns and external communications.
• Liaise and work closely with agency partners to coordinate media briefings, events and interviews.
• Provide communications related support to the Asia Pacific Malaria Elimination Network (APMEN), a program hosted by APLMA as assigned.

Internal Communications

• Develop and implement metrics to evaluate projects and produce slides/reports as needed for all communications activity.
• Coordinate, inform and engage APLMA staff on communication activities.

Program Support

• Assist internal teams in providing support on programs and campaigns to key issues in a fast-evolving global health landscape as assigned.
• Assist in planning and managing events (virtual and in person), coordinate external partners and service providers.
• Support internal write-ups on program content when required.
• Assist to collate regular program updates from various teams across the organization.
• Support ad-hoc projects within APLMA as directed including research, the development of briefing material, presentations, reports and other policy and advocacy materials.

Requirements:

• Bachelor’s degree in public health, communications, journalism, public relations or related discipline.
• 2 to 4 years of work experience in communications, the development sector, and/or an external relations role.
• Work experience in NGOs, foundations, development sector and/or government institutions will be an added advantage.
• Demonstrated ability to liaise with a range of stakeholders (i.e. government officials, journalists, and academics).
• Excellent persuasive writing and oral communications skills in the English language.
• Proficiency in digital technology, social media platforms and content development tools such as Twitter, LinkedIn, Capcut, Photoshop, Webflow, Canva, MailChimp etc.
• Familiarity with media monitoring tools such as Meltwater.
• Demonstrated passion for public health advocacy work and is a keen learner.
• Strong critical thinking skills and a positive working attitude
• Good time management and organizational skills.
• Proven ability to work in diverse and multi-cultural teams.
• Able to travel overseas when required.

The successful candidate will be offered full-time contract employment in line with the approved grant duration, with the possibility of extension based on performance and availability of funding.

We thank you for your application and regret to inform that only candidates shortlisted for interview will be contacted.

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 NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Ph.D/Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

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.