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

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

We regret that only shortlisted candidates will be notified.

Job Description:

Introduction

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

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

Job Description

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

Job Responsibilities

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

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

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

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

Qualifications

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

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

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

• Demonstrated ability to manage time and data efficiently.

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

Please note that only shortlisted candidates will be notified.

About us:

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

Job description:

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

Requirements:

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Key responsibilities:

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

Qualifications

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

About TUMCREATE

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

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

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

Job Summary

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

Key Responsibilities

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

Key Competencies

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

Qualification Requirements

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

What we offer

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

Applications

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

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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

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

Job Requirements:

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

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

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

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

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

· Cashiering duties;

· Guide residents to make S&CC payment on e-platforms;

· Attend to residents on feedback matters as part of the front line customer service team;

· Assist in cases creation in the system;

· Follow up with residents on the progress of the cases that have been attended by the estate team or other department (case by case) prior closing it in the system;

· Liaise with other team members from other departments pertaining to the feedback or queries cases;

· Assist with Facilities Booking matters;

· House visits;

· Any other duties assigned by the Supervisor.

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

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

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

Key Skills and Responsibilities:

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

Requirements:

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

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

Key Skills and Responsibilities:

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

Requirements:

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Working Hrs : 44.5hrs/week

Responsibilities:-

• Ensure the maintenance of proper filling, correspondences and records.
• Oversee daily operations.
  • Ensure processes adhere to Standard Operating Procedures (SOPs).
  • Handle escalations and monitor performance.
• Lead and represent the contractor’s team.
• Ensure overall service performance, compliance with KPIs, and manage stakeholder relationships.
• Issue invoices, debit and credit notes to clients and intercompany transactions.
• Update bank balance and bank reconciliation.
• Assist in preparation of monthly and yearly closing.
• Ensure proper documentation and internal filling.
• Liaise with auditors for annual statutory audits.
• Any other related duties as assigned.

Requirements:-

• Preferably degree level and at least 2 years of experience in related field
• Experience using SAP HR
• Process effective organizational and follow-up skills, paying attention to detail.
• Excellent organizational skills, ability to work under pressure and meet tight deadlines.
• Ability to manage large volume of transactions and remain composed under pressure
• Able to maintain confidentiality and sensitivity in the management of work
• Tech-savvy with good proficiency in Microsoft Office and technology tools
• Strong problem-solving ability and resourcefulness.

Demonstrate ability to handle work professionally, independently and efficiently

Role:

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

Responsibilities:

Program Communications

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

Internal Communications

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

Program Support

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

Requirements:

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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

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

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

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

- Cybersecurity Research & Engineering

- Cybersecurity threat modelling

- Network Intrusion Detection

- Cryptography

- Anomaly Detection

- AI Security

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

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

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

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

Project Overview

We are seeking a Research Scientist to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

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 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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

Please apply here: https://talent.sage.hr/jobs/55729b46-20ca-4792-9df2-360f30fbb5e3

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

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

We are particularly looking for Research Software Engineers with the following backgrounds and experience:

- Full-stack Software Development

- Distributed Systems

- Hospital Information Systems and Healthcare Applications

- Cybersecurity and Software Security

- High-performance Computing

- Network/System Administration

As a Research Software Engineer, the successful candidate will contribute to these developments by producing software tools, platforms and libraries as vehicles to carry out impactful research, develop engaging and interactive demonstrators and translate early-stage research prototypes into robust and usable applications.

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

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

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

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

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

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

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 Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statistical analysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

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 notified.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

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

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

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

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

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

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

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

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

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

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 is seeking a Research Associate/Research Fellow (Research Manager) in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension .

Purpose of the post

The successful hire is expected to lead and coordinate BISI's research initiatives. You will play a crucial role in shaping and executing our strategic research agenda, ensuring timely delivery of projects, and maintaining strong relationships with key stakeholders.

Main Duties and Responsibilities

• Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission.
• Lead the tracking, timely reporting and development of research budgets and individual projects, including existing grants and future funding bids, such that the research and project work can be delivered efficiently.
• Monitor research progress, and identify and implement project management interventions to keep research activities on track.
• Plan and monitor research design, data collection, data storage, documentation and reporting in line with the highest ethical standards and Institutional Review Board (IRB) requirements.
• Oversee project teams, staff allocation, budgeting and procurement processes to support programme productivity and continuity.
• Prepare and coordinate reports on programme progress for a variety of audiences.
• Regularly communicate with BISI management team and stakeholders, internal and external (e.g., relevant government ministries).

Qualifications

The candidate should possess:

• A Master’s or PhD in Psychology/Behavioural Science/Public Health or any discipline related to health or biomedical sciences.
• Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders within an academic or healthcare setting.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience supporting the full cycle of Institutional Review Board activities, from application, management, documentation and reporting for studies involving human participants.
• Ability to write, edit, and produce reports and other formal documents of communication.
• Ability to produce, manage and understand financial documents, particularly in the context of research grants.

Qualifications

• Successful management and coordination of research staff, including research assistants, students and interns.
• Excellent organisation and problem-solving skills.
• Proficient in Microsoft Office programs (Word, Excel, PowerPoint and Outlook) and project management tools.
• Excellent command of spoken and written English.
• A team player with an ability to work independently.
• Highly motivated, proactive, and goal-oriented.
• Keen interest in the area of behavioural and implementation sciences for research translation and communication will be advantageous.

Application

What Being Successful in the Role Looks Like

The successful hire works closely, collaboratively and competently as part of an interdisciplinary team within BISI. He or she is excellent in writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with others. He or she fits into, supports, and builds up BISI’s open and positive work culture.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Shao Chuen, at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.