With close to 50 economists and 200 economics and government reporters worldwide, Bloomberg has an outstanding capacity to explain where the global economy and geo-politics are now, where they might be heading, and the ways in which the forces interact. Bloomberg Economics offers a macroeconomic research service for Terminal subscribers. That includes detailed forecasts, supported by meticulous and original thematic research. The economists also produce previews of data releases and economic events, analysis of the numbers as they break. The goal is to offer Bloomberg clients a deeper insight into the themes that drive policy, financial markets and capital flows.

We are hiring for an Editor to join our team in Singapore. The Asian economy is critical for Bloomberg clients. Delivering timely, high-value research on monetary and fiscal policies and the future path of growth, inflation and other variables, and how geo-politics is increasingly shaping outcomes in a diverse, dynamic region spanning China to India and New Zealand will be essential to the ongoing success of Bloomberg Economics. In a crowded field, it will also be an opportunity to distinguish ourselves from the competition.

The successful candidate will be responsible for editing economic research that is aimed at helping our clients understand what’s driving growth, inflation, policy, financial markets, trade, and capital flows. You will be responsible for editing research from around the Asian region - everything from fast turnaround Reacts to more considered Insights featuring original analysis and research by our Asia economists. You will also coordinate with other editors to ensure seamless support for the global team. We’ll measure success by the quality and speed of editing and impact in terms of delivery across all Bloomberg channels.

We’ll trust you to:

• Ensure our economic analysis is tightly written, well-structured, compelling, and delivered quickly and accurately - routinely under tight deadline
• Complement the technical expertise of our economists by exercising news judgement on when to write, and how to write and frame research
• Collaborate with teams across news and research to ensure our research reaches the widest possible audience. This includes editing material for different platforms and coordinating with regional news desks and editors

You’ll need to have:

• Bachelor's degree or degree-equivalent qualifications
• 10+ years of professional experience with at least 5 years in financial news outlets or in the financial services industry
• Experience working in a real-time publishing environment
• Experience editing news or research on economics
• Demonstrated skill at crafting narratives for a professional financial audience and delivering tightly structured, quick turnaround pieces with a focus on accuracy, readability and added value
• Proficiency at editing technical material, sound understanding of basic economic and financial concepts and the ability to write about data in a clear, accessible way
• Strong communication and teamwork skills
• Excellent written and verbal communication skill in English
• Energy and initiative to support our economists and help drive delivery of research in a fast-paced, dynamic environment
• Demonstrated continuous career growth within an organization

Life at Bloomberg is many things, but it’s never dull. We’re a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires our employees to be their best. We offer competitive compensation, comprehensive healthcare coverage, and programs to support you and your family through different life stages, from parental leave to generous retirement savings plans.

If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: www.bloomberg.com/professional

Learn more about our office and benefits:

Singapore | www.bloomberg.com/singapore

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 seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• 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 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.

School of Art, Design and Media is looking for a candidate to join them as a Research Associate.

This is a unique opportunity to engage in cutting-edge research that blends art, technology, and cultural exploration, shaping the future of immersive storytelling. We are offering an exceptional opportunity for an individual who is passionate about urban research, local communities and discovering new sites in Singapore.

Key Responsibilities:

• Project coordination and organization
• Conduct thorough data collection through various research methods.
• Coordinate and organize field research activities.
• Ensure efficient communication and collaboration among team members.
• Field Research and Location Scouting in Singapore
• Collaborate with team members to prepare and organize workshops.
• Overseeing the Recording of Interviews

Job Requirements:

• Master's degree in a relevant field.
• Previous experience in research, data collection, and analysis.
• Strong organizational and coordination skills.
• Excellent communication and teamwork abilities.
• Familiarity with workshop preparation and facilitation.
• Proficient in recording and documenting research interviews.
• Familiar with local communities and sites in Singapore

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

The Laboratory for RNA Delivery Therapeutics @ NTU

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof Mary Chan-Park team. Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles.

Prof Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU. She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

The Research Fellow will take on a significant role to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

Key Responsibilities:

• Design and synthesize novel stimuli-responsive lipids or polymers for RNA delivery formulations to achieve efficient transfection and endosomal escape.
• Develop cationic or ionizable lipids or polymers for RNA delivery applications.
• Collaborate with team members to formulate lipids/polymers with RNA for transfection experiments.
• Measure and evaluate transfection efficiency, endosomal escape efficiency, and other particle properties.

Job Requirements:

• PhD in Chemistry, Chemical Engineering, Materials Science, or related field
• At least 5 years of relevant experience in lipid/polymer synthesis and design for stimuli-responsive nanoparticle delivery, particularly RNA delivery formulations.
• Familiarity with advanced lipid/polymer design for RNA delivery and nanoparticle formulations (e.g., classical LNPs and top research groups).
• Strong written and oral communication skills.
• Proficiency in lipid/polymer synthesis is essential.
• Competence in technical communication and leadership, including supervising junior researchers (e.g., PhD students).
• Strong interpersonal skills, with the ability to work independently, meet deadlines, and manage time effectively.
• Entry-level PhD graduates are welcome to apply. Recent PhD graduates in chemistry, chemical engineering, materials science, and engineering or related fields with knowledge in organic or polymer synthesis are strongly encouraged to apply or inquire.

We regret that only shortlisted candidates will be notified.

Research Fellow (Postdoctoral) positions are 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

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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 Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

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 seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• 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 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

The successful candidate will work with PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

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

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 4 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies.
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc.
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable
• Good team-player, good communication skill, problem solver, thinker and doer, able to exhibit leadership when needed
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Entry level candidates are welcome to apply

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

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of understanding RNA modifications' roles in human disease and leveraging RNA-modifying enzymes as potential drug discovery targets. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.

Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

Key role in formulating market insights and forecasts for the Group

An opportunity to influence decisions globally

Based in Singapore

As part of the team, you will play a crucial role in forecasting and analyzing key supply and demand developments to forecast drybulk markets. You will generate market insights and outlooks by closely analyzing data related to drybulk freight supply and demand. You will collaborate with our global trading team to drive strategic decisions.

The role demands a keen ability to navigate and interpret complex market dynamics.

The primary challenge lies in accurately forecasting supply and demand amidst fluctuating market conditions, policy changes, and global economic shifts. This requires not only strong analytical skills and attention to detail but also the ability to synthesize vast amounts of data into actionable insights. Effective communication and collaboration with local and global teams are essential to ensure timely and strategic decision-making in a highly competitive market.

This role will mainly interact with traders, including operations team on key projects.

You will be working in a fast-paced environment with tight deadlines.

Main Responsibilities:

Data Management & Forecasting:

Maintain up-to-date and accurate supply and demand (SnD) data for drybulk freight, reflecting current market conditions. Compile and update all relevant data and forecast components to anticipate market trends.

Market Analysis:

Stay informed on market trends, policies, and currency fluctuations affecting drybulk freight supply and demand. Transform this information into actionable market insights and adjust SnD outlooks accordingly.

Global Coordination:

Monitor global drybulk freight and demand.

Coordinate with team members to ensure accurate adjustments for specific products.

Communication & Reporting:

Effectively communicate key changes in drybulk freight supply and demand to commercial teams.

Synthesize and present insights to help stakeholders understand market dynamics and swing factors.

Quantitative Modeling:

Collaborate to enhance drybulk freight data analytics and processes.

Contribute to the development of new models and approaches to improve internal knowledge.

Minimum Requirements:

Bachelor's Degree in Marine, Trade or related field of study

Minimum 6 years of relevant experience within a commodity/ marine-focused MNC.

Managing, maintaining, and redesigning complex Excel models.

A strong industry network, as well as maintaining and expanding such, is essential for the success of this position.

Automated data visualization reports in Power BI.

Exposure to the trading environment.

Excellent verbal and written communication skills (English) are essential.

Genuine interest in global economics and commodities markets

Ability to manage data and summarize large quantities of data into key/actionable insights

Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports

Know how to communicate/explain complex ideas in a simple way

Experience working with commercial teams to design trading strategies is a plus

Ability to work with teams in different geographical locations

Highly organized and detail-oriented, with an attentive approach to analysis to ensure accurate assumptions and conclusions

Ability to understand business needs & potential issues and propose innovative ideas/solutions

Good time management skills and ability to manage multiple tasks and meet deadlines

Interpersonal skills, ability to forge relationships with colleagues and external contacts

Self-motivated & problem-solver individual

Technical Skills:

Proficiency in Excel

Experience with BI tools for analytics

Strong statistical and analytical skills, with a solid understanding of data management best practices

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that only shortlisted candidates will be contacted.

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

ASE 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. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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

You will work closely with the Principal Investigator (PI) and research study team members in the development and validation of a new psychometric instrument aimed at measuring multimorbidity within a primary healthcare setting. This instrument will be integral to facilitating better patient care and informing primary healthcare interventions and policies.

• Collaborate and assist in the design and development of a new robust psychometric instrument, or the validation of an existing one, for measuring multimorbidity.
• Collaborate with study investigators to define key constructs and dimensions of multimorbidity.
• Develop survey items and scales that accurately capture the localised complexities of multimorbidity in a primary healthcare setting, adapting from existing measures and methodologies.
• Perform pilot testing and statistical analyses to evaluate validity and reliability of the instrument(s).
• Present findings and recommendations to study team
• Provide training and support to study team members on the use of the psychometric instrument(s).

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

Requirements

• Master’s/PhD in social sciences, statistics, or a related field
• Proficient in statistical software (SPSS/R/STATA/NVivo)
• Knowledge of psychometric measurement theories (e.g. ITT/CTT) and research methodologies
• Expertise in quantitative and qualitative data analysis, including the use of advanced statistical techniques.
• Ability to present complex data and findings clearly.
• Experience in healthcare-related research projects is highly desirable.

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.

Position Summary

The Infectious Diseases Translational Research Program (IDTRP) at the Yong Loo Lin School of Medicine, National University of Singapore (NUS) invites applications for the position of tenure track Assistant Professor. We seek an exceptional and motivated individual to develop and lead a research program in infectious diseases, with a focus on translational research that bridges fundamental discoveries and clinical applications.

The ideal candidate should have strong expertise and interests in microbial interactions inside the gut, and their impact on health and disease. The successful applicant will join a vibrant and collaborative team dedicated to advancing the understanding, prevention, and treatment of infectious diseases (https://medicine.nus.edu.sg/trp/infectious-diseases ).

Key Responsibilities

• Establish an independent, externally funded research program in infectious diseases with an emphasis on translational approaches.
• Conduct cutting-edge research that contributes to IDTRP’s goals, including vaccine development, antimicrobial resistance, pathogen-host interactions, and public health interventions.
• Collaborate with interdisciplinary teams including clinicians, scientists, and other stakeholders to drive impactful research.
• Mentor and supervise undergraduate, graduate, and postdoctoral researchers.
• Teach undergraduate and graduate-level courses in areas related to microbiology or immunology, anchored under the Department of Microbiology & Immunology.
• Publish high-quality, peer-reviewed research in leading journals and present findings at national and international conferences.
• Actively participate in IDTRP’s events, workshops, and outreach activities.

Qualifications

Essential:

• PhD, MD, or equivalent degree in microbiology, immunology, epidemiology, or a related field.
• Proven track record of research excellence as evidenced by first author original high impact publications.
• Strong potential to secure competitive external funding.
• Expertise in translational research methodologies.
• Demonstrated ability to work collaboratively in interdisciplinary teams.
• Excellent communication and leadership skills.

Desirable:

• Experience in teaching and curriculum development at the graduate level.
• Experience in mentoring and supervising research trainees.
• Research experience in tropical infectious diseases or diseases of global health significance.
• Familiarity with regulatory and ethical requirements for translational research.

Application Process

Applicants should submit the following:

1. A cover letter outlining their research and teaching interests.
2. A detailed curriculum vitae (CV).
3. A statement of research accomplishments and future plans.
4. A statement of teaching philosophy.
5. At least three professional references.

Applications will be reviewed on a rolling basis until the position is filled.

About Infectious Diseases Translational Research Program

The Infectious Diseases Translational Research Program (IDTRP) at the National University of Singapore (NUS) is dedicated to advancing research that transforms fundamental discoveries into real-world solutions. With a vision of creating a world where affordable and effective prevention, diagnosis, and treatment of infectious diseases improve health outcomes across Asia, IDTRP integrates expertise in microbiology, immunology, clinical research, and public health to address global challenges. Its mission is to foster a vibrant community of scientists and clinicians committed to impactful research and training in healthcare. By promoting a holistic, patient-centric approach to infectious diseases relevant to Singapore and the region and nurturing the next generation of basic and clinician-scientists, IDTRP aims to drive transformative progress in infectious disease research and healthcare innovation.

About Department of Microbiology and Immunology

The Department of Microbiology and Immunology has distinguished itself in biomedical research and has a broad spectrum of expertise. Research in the Department encompasses very diverse questions and uses a wide variety of approaches, experimental systems, and techniques. Principal Investigators of the Department are internationally recognized for research on immunology, medical virology, bacteriology, parasitology, molecular biology and biotechnology.

About NUS Yong Loo Lin School of Medicine

The NUS Yong Loo Lin School of Medicine is Singapore’s oldest and Asia’s top medical school, celebrating its 125th year anniversary in 2025. Today, the school produces cutting edge and impactful research, together with innovative education, seeking to impact change and enhance the practice of medicine in Singapore and beyond. The School is an integral part of a comprehensive university (NUS), with deep collaborative platforms across engineering, computer science, social science, public health, and others, and a long standing joint venture in the National University Health System (NUHS). The NUHS ecosystem is Singapore’s premier Academic Health Centre, encompassing three tertiary hospitals (National University Hospital, Ng Teng Fong Hospital and Alexander Hospital), three national specialist centres (National University Heart Centre, National University Cancer Institute and National University Centre for Oral Health), a primary care system and three health schools (medical school, dental school and school of public health), lending invaluable resource for clinical and translational research, not commonly found elsewhere. Together with other healthcare partners and research institutes in Singapore, the school is an important player in Singapore’s vibrant research and biotech ecosystem.

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

Job Description

a) Conducting literature review

b) Supporting the implementation process of research study

c) Recording, analysing and evaluating data relating to the research study and stakeholder

engagement sessions

d) Providing support for syllabus implementation for schools

Requirements

(a) Proficient in MS Office

(b) Preferably with experience in his/her undergraduate studies in these areas:

• Literature review

• Psychology research

Hours: Mon to Thur (8.30am to 5.45pm) and Fri (8.30am to 5.15pm)

Salary: Up to S$4,800

Location: Nanyang Ave

Duration: 1 year contract (convertible / extendable)

Overview

The Assistant Manager/Senior Executive, Research Administration plays a pivotal role in supporting the administration of research projects and grants. This position involves managing budgets, coordinating with research teams, and providing comprehensive administrative support to the Associate Chair of Research.

Key Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget
  management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to
  ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project
  reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding
  agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements
  and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling
  appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate
  Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research
  administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level
  administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of
  stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

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EA Reg. ID: R22109658 (Teng Yong Yao)

EA License No.: 01C4394

The National Institute of Education invites suitable applications for the position of Research Associate on a 12-month contract, with the possibility of renewal, at the Centre of Research in Pedagogy & Practice, Office of Education Research.

Project Title: Data and Theory Driven Artificial Intelligence to Boost the Science of Learning

Project Introduction: This project will leverage big data generated from online education platform approaches to build Science of Learning for effective education. The project will focus on: (1) current trends and advancements for the role of Artificial Intelligence (AI) in Education, including Generative AI, (2) implementing experimental studies for teaching and learning for mathematics with AI in primary schools, and (3) publishing research findings for different stakeholders including researchers, policymakers and teachers.

Requirements:

• Academic qualification: a Master degree in Data Science, Psychology, Education, Social Sciences or related field. Candidates with a PhD may be considered for a Research Fellow position.
• Work experience: Preferably with experience in social science or education research
• Desirable interests, skills, and attributes:Learning analytics, conversational analysis and/or dialogical learning/pedagogy
  Expertise in educational technology
  Proactive, eager to learn and perform
  Good self-management skills for task structure and management to achieve given goals and objectives
  Experience in Artificial Intelligence and machine learning
  Candidates with knowledge and skills in systematic review are welcome to apply
  

Responsibilities:

• Co-design and develop experimental research that aligns with the project needs and requirements
• Research and devise appropriate learning analytics/conversational analysis tools for data analysis
• Collaborate with internal and external stakeholders to understand analytic needs and devise possible solutions
• Communicate research implications of data to various stakeholders, i.e., researchers, policymakers, educators, etc.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00017839

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Office-of-Education-Research---NIE-_R00017839)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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 Assoc. Prof. Han Vinh Huynh and Assoc. Prof. Utkur Mirsaidov on the exploration of methods for selective etching in the pursuit of improving the fabrication of interconnects in semiconductors. To achieve this a detailed understanding of the (redox) chemistry of various current etching methodologies is crucial. Synthetic skills and knowledge in molecular chemistry are advantageous. In addition, s/he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications / Discipline:

- Ph.D. or equivalent degree in Chemistry or Materials Science

Skills:
- Synthetic skills in organic and inorganic chemistry

Experience:
- Experience in molecular and surface science including hands-on experience in various analytical techniques (NMR, MS, TEM, SEM, XPS, etc.)

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 (NUS) Yong Loo Lin School of Medicine is recruiting talented scholars at multiple levels: Post-doctoral Fellows, Senior Research Fellows and Research Scientists to work in the Global Centre of Asian Women’s Health (www.glownus.org) and the NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (www.acrle.com). Our interdisciplinary program is designed to provide experiences that foster scholars’ professional development by working closely with national and international experts, and equip them with independent research skills in multi-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology.

Successful candidates are expected to 1) conduct original research for publications based on data from several large cohort studies in the United States and in Singapore, such as the U.S. National Institute of Child and Human Development (NICHD) Fetal Growth Studies, Diabetes & Women’s Health Study (www.dwhstudy.org), Growing Up in Singapore Towards healthy Outcomes (GUSTO), and the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S_PRESTO); 2) present at scientific conferences; 3) contribute to competitive grant applications; and 4) mentor junior researchers within a multi-disciplinary research team. Successful candidates will also have the opportunity to develop their independent research initiatives using the wealth of data from the school and collaborative national and international institutes.

Qualifications

Candidates with a doctoral degree in epidemiology, nutrition, or a closely related field, or those with a medical degree with some experience or advanced graduate training in epidemiology, population health, or biostatistics are invited to apply. Preference will be given to candidates with strong research experience in any of, but not limited to, the following areas.

• Diabetes, obesity, and cardiometabolic health
• Nutrition, lifestyle and mental wellness
• Omics research, especially on metabolomics and microbiome
• Behavior intervention
• Reproductive health, maternal and child health
• Aging and neuro-cognitive function
• Women’s health
• Developmental origins of disease
• Epidemiological methods

Skills

Preference will also be given to candidates with

• Strong analytical or quantitative skills
• Good track record of publications in peer-reviewed journals
• Excellent communication skills in English
• Experience in statistical software (e.g., STATA, SAS, R)
• Experience in grant/proposal writing

The position provides health insurance. The salary is commensurate with training and relevant research experience. Multiple positions are available and will remain open until qualified applicants are found. First round of application review will start on November 1st, 2023.

Application

Applicants should email: 1) a curriculum vitae; 2) a statement of research interests; 3) three letters of reference; and 4) transcripts for undergraduate and graduate degrees. Note: Official transcripts may be requested if selected for an interview. Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the position (in the email subject, please clearly state “Application-research fellow/scientist”)

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

We are seeking a highly motivated candidate with a strong research background in computational catalysis, particularly Density Functional Theory (DFT), Molecular Dynamics (MD), Machine Learning (ML) and be able to lead their own research while collaborating with other team members.

The successful candidate will work with Asst. Prof. Pengfei Ou on Computational Catalysis under a project on "Accelerated Discovery of Catalytic Materials" to contribute to the discovery of new catalytic materials and next-generation catalysts.

Qualifications / Discipline:

- A PhD in Chemistry, Materials Science and Engineering, Chemical Engineering, Physics, or a closely related field.

Skills:
- Preference will be given to candidates with a strong research background in computational catalysis, computational materials science, AI/ML, DFT calculations, and (ab initio) MD simulations.
- Machine learning experience and a strong proficiency in Python programming and data analysis.

Work location: Loyang Way

Working Week: 5.5 days

Working Hours: 9 am to 6 pm, Monday to Friday

Saturday: 9 am to 1 pm Saturday

Monthly Salary: S$15,000 to S$16,500

Key Responsibilities:

1. Drive strategic and technical innovation decisions, ensuring the company stays at the forefront of the metal packaging industry.
2. Drive innovation/invention and design to enable manufacturing lines to run more efficiently with reduced downtime, less material waste, and greater output per unit of time.
3. Drive operational excellence through innovation and provide practical solutions that enhance productivity and minimize operational costs for the company.
4. Lead the product development team to define and influence the direction of future industry innovations.
5. Comply with safety and metal packaging regulations and requirements.

Job Requirements:

1. Bachelor’s degree in engineering - mechanical manufacturing technology and equipment (highly preferred).
2. Strong leadership skills to shape the direction of product development and operational excellence are key to contributing to the company’s growth and success in a competitive market.
3. Minimum of 18-20 years of hands-on experience in the metal packaging machine design sector.
4. Proven track record of working on various complex projects, ranging from machine design to integrating cutting-edge technologies that improve operational efficiency and product quality.
5. Proven 2-3 patent designs being published and recognized by the industry – for example, it has become the industry benchmark, setting new standards for quality and performance.
6. Strong interpersonal and communication skills in written and verbal English and Chinese, as you must communicate frequently with internal stakeholders in China and external stakeholders across China and Asia.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

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

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.