You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 3 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 job aims to address some critical issues in the development of a multi-dimensional photodetector capable of simultaneously capturing optical information such as polarization, wavelength, and optical angular momentum. The main targets are threefold:

1. Understand in depth about the fundamental properties of light including helicity, chirality, polarization, and optical angular momentum. Investigate how these light properties interact with materials and/or structures with different symmetry properties. Research directions include chiral / nonreciprocal / nonlinear optical processes, integrated photonic devices, etc.

2. Study the symmetry properties of 2D materials as well as metasurfaces and nanostructures. The targeted design of a multi-dimensional photodetector should utilize these symmetry properties to enhance the effectiveness, robustness, and responsivity of photodetection of the various optical information, including but not limited to polarization and optical angular momentum.

3. Find the practical schemes to implement a multidimensional photodetector by integrating 2D materials / Tellurides with nanostructures that can allow effective, robust, and simultaneous photodetection of polarization, optical angular momentum, etc. The practical devices should also possess ultrathin nature, the ability to convert multidimensional light information to electrical signals, and the ability to operate at room temperature. At last, one or two prototypical designs should be experimentally demonstrated.

Considering the above research targets, the candidate should possess in-depth physical insights and interdisciplinary knowledge of 2D materials, symmetry analysis, metasurfaces etc. Practical experience in the design, fabrication, optical characterization and measurement of optical devices is preferred.

Qualifications

1. PhD degree in Electrical Engineering, Photonics, Physics or relevant area with a strong background in the design, fabrication and optical measurement of 2D materials and/or nanostructure.

2. Working experience in the design and fabrication of 2D material-based optical devices, optical characterization and measurement of optical devices.

3. Mathematics and physics knowledge in band theory, symmetry analysis, optics, and electromagnetics.

4. Technical proficiency:
• Experience in preparation/exfoliation of layered materials for making optical devices;
• Optical path setup and optical measurement under room and low temperature involving the photoluminescence and photodetection of optical information such as polarization and wavelength.

Candidate should have strong publication records in reputed international journals in the field of photonics or optics, specifically focusing on the investigation and manipulation of optical properties of 2D materials and/or nanostructures.

A Research Officer is needed for Nick Barker's Epithelial Stem Cell & Cancer Group.

Key Responsibilities:

The successful candidate will be expected to help manage our mouse colony (implementing and managing complex breeding regimes, weaning, time-pregnancies, surgeries, tail clipping etc). The candidate will be expected to perform these tasks independently after the requisite training has been given.

In addition, he/she will assist research fellows with performing standard lab work and experimental mouse procedures, including tissue processing, histology, and cell culture, as well as contributing to general lab tasks.

Key Requirements:

Bachelor's Degree in biology or related field.

Prior experience in working with mice is highly advantageous, but not essential.

Successful candidates must have a passionate enthusiasm for research, be self-motivated, highly organized, enjoy working as a team and have good communication skills.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 Mechanobiology Institute, Singapore is a multidisciplinary institute committed to develop new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration, and function.

We are seeking to recruit a Research Associate at the Mechanobiology Institute, NUS, to join Associate Professor Yusuke Toyama's research group. Candidates are expected to have a good understanding and skills in cell and molecular biology. The successful candidate will have the opportunity to work with cutting-edge methodologies and instrumentation that complement and augment the capabilities of individual research laboratories.

Qualifications

1. Master's degree in life sciences or biomedical disciplines.
2. At least 2 years of experience working in a research lab
3. Experience in cell/ tissue culture and molecular biology.
4. Excellent communication and organizational skills.

As a Database Engineer, you will play a crucial role in the design, development, and maintenance of our databases including HPC job, system monitoring, benchmarking, and scientific databases. You will collaborate with cross-functional teams of HPC domain experts, software engineers, and scientists to ensure the efficient storage, retrieval, and analysis of data. This position offers a unique opportunity to contribute to ground-breaking research for our stakeholders.

Key Responsibilities:

• Database Design and Development: Design and implement robust, scalable, and efficient databases and optimize database performance for data storage, retrieval, and analysis.
• Data Integration: Collaborate with stakeholders and NSCC consultants and technical team members to integrate diverse datasets into the database and Implement and maintain data pipelines for seamless integration of new data sources.
• Quality Assurance: Develop and implement data quality control measures to ensure accuracy and consistency as well as monitor and troubleshoot data integrity issues, implementing corrective actions as needed.
• Collaboration: Work closely with cross-functional teams, HPC domain experts, software engineers, and scientists, to understand data requirements and user needs and provide technical expertise and support to ensure effective collaboration.
• Documentation: Maintain detailed documentation of database architecture, data models, and processes and contribute to the development of best practices for data management and storage.
• Reporting: Communicate findings through presentations, and reports for NSCC as well as stakeholders/collaborators.

Qualifications:

• Bachelor"s or Master"s degree in Computer Science, or a related field.
• Proven experience in database design, development, and optimization. Experience with bioinformatics or life sciences is a plus.
• Proficiency in relevant programming languages (e.g., SQL, C/C++, Python) and experience with database management systems (e.g., MySQL, PostgreSQL).
• Familiarity with NoSQL and distributed databases (MongoDB, ElasticSearch, ETCD).
• Experience with server-based and high-performance computing.
• Familiarity with bioinformatics tools and resources, and an understanding of biological data types and formats.
• Familiarity with Linux command line, system administration, scripting, and software tools.
• Familiarity with software version control process and tools (e.g. git, github, gitlab).
• Strong problem-solving skills and the ability to work collaboratively in a dynamic team environment.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 1 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

Singapore is looking for ways to reduce waste and improve food security. Both are accomplished by recycling food waste with black soldier flies (BSFs). By feeding on food waste, fly larvae convert organic matter into compost fertilizer which can be used for high-tech vegetable farming, and into protein-rich feed for fish, chicken and other livestock.

We are currently seeking a motivated and dedicated lab technologist or research assistant to join our team. You will work with other research assistants to oversee the day-to-day operations of the BSF rearing facility and assist researchers and students with their projects. Applicants should be enthusiastic about environmental causes and food security, be comfortable handling insects and food waste, and be comfortable confronting and solving challenges independently.

This position involves working with fresh food waste/scraps, insect larvae and adult flies daily. On-the-job training is provided. Alongside your colleagues, you will be tasked with the following:

● Collecting and preparing food waste for the larvae
● Maintenance of insect cages and breeding facilities
● Overseeing the fly cultures
● Assisting researchers and students with experiments
● Other tasks assigned.

Key requirements for this role include:
• Able to cope with repetitive work.
• Strong problem-solving skills
• Ability to work independently and in a team.
• Good organizational skills
• Comfortable handling food waste and insects
• Experience with maintaining insect cultures is highly desirable.

Qualifications

Bachelor’s degree holder, preferably in fields relating to environment and life science.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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 Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology with at least 5 years of relevant experience
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work 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

Our client is focusing on R&D activities which are the development of new RO chemical product, water reuse technologies and membrane related products.
They are looking for highly motivated candidates with relevant training and expertise in water treatment process and technology

Roles & Responsibilities
-Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
-Work with team to ensure all lab equipment calibrations and inspections are up to date
-Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
-Analysis & update experimental results
-Assist in optimization of operation treatment as well as identifying the area for improvement.
-Technical report preparation
-Work with the team to help generate relevant SOPs (standard operating procedures)
-Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
-Work with team to source, develop and apply new treatment methods /processes /technologies

Job Requirement

-Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent;
-1 years of relevant work experience preferred, no experience welcome
-Strong communication skills in both oral and written English
-Have enthusiasm for R&D work
-Self-motivated, able to work independently and with a team to completion of a task

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 18959 Research Engineer/Assistant Research Engineer (Water Treatment, West Area) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

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A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work 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.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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:

Dissecting the metabolic control of cancer cell states

Job Requirements:

• PhD in molecular biology, genomics, or a related field
• Conduct wet-lab experimentation, writing up projects and manuscripts, mentoring students, managing logistics, collaborating with clinicians and partners
• Ability to work independently and collaboratively with other team members
• Excellent organizational skills and attention to detail

*candidates may also be considered for positions in other laboratories

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 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 NUS Centre for Trusted Internet & Community as a Research Associate, details are as follows:

We are seeking an enthusiastic and capable full-time Research Associate to work on a project about assessing the impact of digital information resilience, funded by the Ministry of Education AcRF Tier 3 grant. The contract is renewable up to 3 years.

The successful candidate will assist the funded research project entitled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”. The candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and knowledge on digital information resilience. The project aims to identify and measure digital information resilience for digital readiness, inclusion and safety based on an original indicator framework.

The successful candidate will assist to develop new indicators for measuring digital information resilience. They will conduct interviews, facilitate focus groups, develop and implement surveys, and code the data-sets using qualitative and quantitative research methods. They will also be required to support project management, research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

• At least a PhD or Masters degree or equivalent in the Social Sciences/Humanities, and demonstrated research experience in communications and media studies, including digital media policy and regulation.
• An interest and knowledge in digital wellbeing, information resilience, digital inequality/divide, and new media will be a bonus.
• Good project management, communications management, data administration skills, and an aptitude for working in an interdisciplinary team environment;
• Research experience in qualitative research (e.g., interview, focus groups) desirable;
• Strong research skills and experience in using (or willingness to learn) qualitative data analysis software (NVivo);
• Excellent command of spoken and written English, and the ability to write for a variety of audiences;
• Strong ability to perform editing work on manuscripts;
• Organizational skills for workshops and webinars;
• Ability to create and maintain a project website and social media.

The Laboratory of Biodiversity Genomics at GIS is seeking a highly motivated and skilled individual to join our research team as a Research Officer with expertise in Plant Molecular Biology. The successful candidate will play a key role in advancing our understanding of plant genetics and molecular mechanisms through the application of cutting-edge techniques, including plant-pathogen interaction studies, tissue culture and CRISPR editing in plants. This position offers an exciting opportunity to contribute to groundbreaking research in plant genomics and urban agriculture.

Key Responsibilities:

• Optimize and troubleshoot plant tissue culture protocols. Optimize CRISPR editing in plants for genetic manipulation.
• Execute DNA/RNA extraction and analysis for plant transcriptome studies.
• Conduct plant-pathogen interaction studies to unravel molecular mechanisms.
• Assist with plant growing in hydroponics systems to support experimental needs.
• Conduct plant phenotyping to analyze and characterize plant traits.
• Collaborate with team members to ensure the successful execution of research projects.
• Follow protocols precisely and maintain detailed records of experimental procedures.

Requirements:

• Bachelor/Master Degree in a relevant field with previous experience in a research laboratory, particularly in plant-related studies.
• Proficiency in plant molecular biology techniques and plant phenotyping
• Experience in optimizing and troubleshooting tissue culture protocols for various plant species (added advantage).
• Excellent communication skills and the ability to work both independently and collaboratively.
• Highly motivated individual with excellent organizational skills and attention to detail.

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 mission of the Centre is to improve population health and well-being by accelerating the use of behavioural and implementation science in health policy and practice.

We are looking for an individual who is passionate about improving health and well-being for everyone, through approaches that bridge research, community and government.

Responsibilities include:

• Work hand-in-hand with Directors, Principal Investigators and Visiting Professors, to develop strategy that meets overall research, translation, implementation and education objectives of the Centre.
• Establish an independent research agenda through collaborations with health institutions, government agencies and private sector through internal or extramural funding
• Represent a core part of the leadership team for programs on public policy and research implementation and for outreach to professional bodies
• Oversee implementation of education activities of the Centre for Behavioural and Implementation Science Interventions (BISI) under NUSMed.
• Oversee research and education staff supervision and mentorship

Qualifications

• An advanced degree in behavioral science, Biomedical science, psychology and other related disciplines
• At least 8 years working experience, with 3 – 5 years of this time previously committed to work in the science or health sector interface with policy, implementation, public administration and government.
• Prior demonstrated leadership and managerial expertise is essential, as this role requires the candidate to build team capacity and expertise in a growing field
• Excellent written and verbal communication skills in English
• Ability to manage multiple, diverse stakeholders, and communicate effectively
• An analytical mind with experience in program design and management (e.g. assessing evidence, proposals) in the public sector, and the ability to package and communicate information effectively

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant (Full time)

Appointment period: 6 months in the first instance, with a possibility of extension.

Duties

The appointee will assist the project leader in the project of “Preventing physical and psychological symptoms among cancer survivors through a mindfulness psychoeducation programme: A randomised controlled trial.” and will be required to:

1. oversee the general management of the project;
2. undertake the day to day running of the project at the study site (such as recruitment, provision of intervention, and data collection);
3. provide administrative and secretarial support to the project;
4. conduct literature review and/or systematic review
5. conduct data entry and data analyses;
6. assist in preparing both progress and final reports of the project; and
7. work on other tasks as assigned.

Qualifications

The applicant should:

1. have education in nursing or health-related disciplines; preferably with some experiences in research;
2. be able to work independently and with a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications (such as SPSS and MS office); and
4. have good communication skills and fluency in English.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and relevant research.

Formal application: Please submit your application online, indicating current/expected salary, supported by a CV and full contacts of 3 referees to:

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 looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:
• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events;

Qualifications

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• Open to Fixed Term Contract

JOB DESCRIPTION:

We are seeking a dedicated Research Officer to join our team in developing an innovative artificial intelligence (AI) solution aimed at predicting responses to cancer immunotherapy (IO). The role involves assisting in the development and implementation of deep learning models, participating in data analysis, and interpreting multiplex immunofluorescence and histological images. The successful candidate will contribute to identifying and validating novel spatial biomarkers, collaborate in the design and execution of experiments, assist in the preparation of scientific reports, presentations, and publications, and actively engage in interdisciplinary team meetings and discussions. This role is a unique opportunity to contribute to a cutting-edge area of cancer research and AI application.

JOB REQUIREMENT:

• Bachelor’s degree in the field of bioinformatics, computer science, computer engineering, Life Sciences, or other data science intensive program.
• Proficiency in deep learning, machine learning, and image analysis, using Python, R, and GPU computing.
• Basic knowledge on cancer biology, bioinformatics, biostatistics.
• Possess minimum 1 year of relevant work experience.
• Ability to work independently to translate research ideas into programs with efficient coding.
• Good team player with both research and data analytics ethics.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Highly motivated, committed, independent, and have passion for research.
• Proficiency in project management and multitasking, strive under pressure.
• Meticulous, good analytical, technical, and problem-solving skills.
• Good interpersonal, communication and organizational skills.

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

Applicant is invited for a Research Fellow position in the Centre for Biomedical Materials Applications & Technology (BIOMAT), to work on an industry research project.

Qualifications

• Applicant should possess a Ph.D Degree in Engineering or Materials Science, preferably with a background experience / knowledge in materials and material characterisation.
• Ability to work independently, good team-working and communication skills are essential.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

Responsibilities:

• Define, gather and analyse, solution and document the business requiremnts and processes for clients
• Determine operational objectives after review design specifications and evaluate output requirements and formats
• Write functional specifications, use cases and requirements to improve on the necessary system changes by studying current practices and designing modifications
• Recommend controls by providing functional solutions to clients and the development team
• Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget
• Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
• Understand strategic direction set by senior management
• Validate resource requirements and develop cost estimation
• Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments and programs of the client
• Understand business requirements, distinguishing users’ requests from underlying true business needs and execute tasks that comply with current development standards

Requirements:

• Bachelor’s degree in computer science, information technology or other related disciplines
• Minimum 2 years of application testing experience, with project management experience
• Ability to execute application testing
• Experience with structured testing mythology (use of automation tools)
• Ability to multitask, prioritize and translate business requirements into test scenarios
• Discipline and meticulous in documentation
• Possess excellent interpersonal and leadership skills
• Familiar with both procedural and object oriented design principles and an excellent understanding of software development practices and concepts

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 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 NUS Centre for Trusted Internet & Community as a Research Fellow, details are as follows:

The candidate will serve as a project manager to assist in the development of digital information resilience indicators. They will review media regulation frameworks around digital resilience, conduct both quantitative and qualitative research, including survey, interviews, and focus groups, and; support research admin and deliverables such as reports/journal articles, workshops and webinars.

We are seeking an enthusiastic and capable full-time Postdoctoral Fellow to work on a project about assessing the impact of digital information resilience, funded by the Ministry of Education AcRF Tier 3 grant. The contract is renewable up to 3 years

The successful candidate will assist the funded research project entitled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”. The candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and knowledge on digital information resilience. The project aims to identify and measure digital information resilience for digital readiness, inclusion and safety based on an original indicator framework.

The successful candidate will assist to develop new indicators for measuring digital information resilience. They will conduct interviews, facilitate focus groups, develop and implement surveys, and code the data-sets using qualitative and quantitative research methods. They will also be required to support project management, research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

• At least a PhD or equivalent in the Social Sciences/Humanities, and demonstrated research experience in communications and media studies, including digital media policy and regulation. An interest and knowledge in digital wellbeing, information resilience, digital inequality/divide, and new media will be a bonus.
• Good project management, communications management, data administration skills, and an aptitude for working in an interdisciplinary team environment;
• Research experience in qualitative research (e.g., interview, focus groups) desirable;
• Strong research skills and experience in using (or willingness to learn) qualitative data analysis software (NVivo);
• Excellent command of spoken and written English, and the ability to write for a variety of audiences;
• Strong ability to perform editing work on manuscripts;
• Organizational skills for workshops and webinars;
• Ability to create and maintain a project website and social media.

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 laboratory of Presidential Young Professor Liu Yuxin in the Biomedical Engineering Department at National University of Singapore seeks a postdoctoral Research Fellow with strong enthusiasm and interest in flexible electronics, ingestible electronics, bioelectronics, neurotechnology, brain-machine-interface research.

Biological systems are typically soft and highly dynamic with cellular growth and functional self-renewal, while conventional implantable electronics are rigid and unable to intelligently accommodate a complex biological microenvironment, leading to the enormous functional and biomechanical gap at the bio-electronics interface. Through electronic material development and nano/microfabrication innovation, we will develop next-generation electronic materials and microelectronics that mimic the properties of biological tissue, while providing chronic and high-bandwidth communication at human body. In this project, we will develop ingestible electronics for medical applications.

More information on is available at https://www.lab-liu.com/ and https://cde.nus.edu.sg/bme/staff/dr-liu-yuxin/

Qualifications

• Possess a PhD in Neural Engineering, Biomedical Engineering, Flexible Electronics, Electrical engineering, Computer science and engineering, Material Science and Engineering or related fields.
• A strong interest in bioelectronics, neural engineering, flexible electronics and brain-machine interface. Scientific curiosity and motivation to perform scientifically rigorous experimental work.
• Have prior experience in ingestible electronics and neural interface.
• Excellence in conducting independent research with great critical thinking and experimental design. Interested in working in a multidisciplinary team and leading a multidisciplinary project .
• Strong technical understanding of bioelectronics, neural engineering and flexible electronics. Good understanding of basic clinical principles and mechanisms of the nervous system.
• Research experience in nano/microfabrication in clean room, especially microfabrication of polymeric electronic devices is advantageous.
• Strong written and spoken communication.
• Open to fixed-term contract.

Interested candidates are invited to apply via the NUS Career site. Please include a detailed CV, a 5-slide presentation that summarizes your previous research accomplishments, together with four referee contacts.