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

For more details, please view https://www.ntu.edu.sg/mse/research.

MSE at Nanyang Technological University (NTU) is seeking a highly skilled and innovative Research Fellow to advance research in ammonia e-cracking for sustainable hydrogen production. This position requires expertise in computational modeling, machine learning, materials synthesis, and advanced characterization techniques to design and develop efficient catalysts and processes for ammonia decomposition. Aligned with NTU MSE’s mission to conduct world-class research addressing critical global challenges in energy storage and environmental sustainability, the successful candidate will play a key role in driving high-impact research outcomes. This role offers opportunities to contribute to pioneering projects and produce influential publications, reinforcing NTU’s leadership in transformative research and cutting-edge energy solutions.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for ammonia cracking, with a focus on efficient hydrogen production.
• Utilize computational tools and machine learning techniques (Python, MATLAB) to simulate and optimize material properties, reaction pathways, and ammonia decomposition mechanisms.
• Synthesize and characterize catalytic materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability, activity, and long-term performance under ammonia cracking conditions.
• Perform electrochemical testing to assess catalytic efficiency, hydrogen yield, and energy conversion performance, while developing optimized testing protocols.
• Integrate experimental results with machine/deep learning models and theoretical insights to uncover and understand new reaction mechanisms for enhanced ammonia decomposition.
• Publish research findings in high-impact peer-reviewed journals and present at leading international conferences

Job Requirements:

• PhD in Computational Chemistry, Catalysis, Energy Chemistry, or a related field.
• Extensive expertise in Density Functional Theory (DFT) for material design and optimization.
• Proficiency in computational tools and software, including VASP, Gaussian, CP2K, and DFTB+.
• Experience with machine learning force fields and multi-scale simulations to model material behavior and reaction mechanisms.
• Strong background in material synthesis, advanced characterization techniques (XRD, Raman spectroscopy, TEM, XAFS), and electrochemical testing methodologies.
• Proven track record of high-impact publications in leading peer-reviewed journals, demonstrating significant contributions to materials science and electrocatalysis.
• Exceptional problem-solving skills with the ability to integrate experimental findings and theoretical approaches to address complex research challenges.
• Demonstrated organizational and project management capabilities, ensuring the timely delivery of impactful research outcomes.

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

RESEARCH AND DEVELOPMENT CHEF Job description

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

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

The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges. The ASE integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to address key issues of the environment and sustainability.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

As part of this programme, the ASE Tropical Ecology & Entomology Lab is looking to hire a Research Associate for 2 years, to conduct research into the impacts of environmental change, climate change, and restoration initiatives on biodiversity in South East Asia. The successful candidate will work with the Biodiversity Cluster team of Professors, Research Fellows and PhD students.

Key Responsibilities:

• Design and implement studies on biodiversity and ecosystem functioning in response to climate change in Singapore and SE Asia.
• Curate existing datasets and develop models to predict species responses to environmental change.
• Analyse data and interpret research findings.
• Write and publish research result in peer-reviewed journals.
• Collaborate effectively with colleagues both locally and internationally.
• Mentor junior colleagues and students, as needed.
• Organised and participate in outreach and educational activities.
• Present research findings at conferences, workshops and grant meetings.
• Ensure research projects are completed on time and within budget by managing routine administrative tasks.

Job Requirements:

• Master in ecology or a closely related field, with a focus on biodiversity and ecosystem ecology.
• Fieldwork experience in forested and/or urban ecosystems, preferably in the tropical environments.
• Proficient in statistical modelling and programming, including predictive modeling, SEMS, and conservation prioritization techniques.
• Strong team player with experience in team collaboration and coordination.
• Proficient in managing biodiversity and environmental datasets.
• Proven strong publication record is an advantage.
• Proven ability to interpret and critically evaluate results, and to analyse and write up data.
• Excellent oral and written communication skills, with the ability to meet project, manuscript, and publication deadlines.
• Strong oral presentation skills.
• Ability to initiate experiments and to work both collaboratively and independently.
• Adaptable and flexible with a collaborative approach and able to work effectively with colleagues and students from diverse cultural and backgrounds.
• Willingness to learn new techniques and skills.

The successful candidate will join the growing Tropical Ecology and Entomology Lab group at ASE working under Assoc. Prof. Eleanor Slade, and become part of a vibrant, international scientific community.

ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees in one document. Enquiries about this position can be made to Asst. Prof. Eleanor Slade ([email protected]).

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

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

The School of MSE is globally recognized as a leader in materials science and engineering. The school consistently achieves top rankings, being ranked 2nd in the 2024 U.S. News Best Global Universities for Materials Science. Additionally, MSE is ranked 5th globally by subject in materials science in the 2024 Quacquarelli Symonds (QS) World University Rankings, reaffirming its excellence in research, innovation, and education in materials science. MSE provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research. For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow (RF) to join a newly funded project led by A/P Yang Zhao(RG2/24, Ministry of Education). This position aims to fulfill the project’s objectives of advancing three-dimensional (3D) six-wave-mixing (6WM) spectroscopy for real-time molecular materials characterization. The appointed RF will play a pivotal role in developing computational simulations, theoretical methods, and practical protocols to extract photophysical and photochemical information from 6WM spectroscopy signals. This work will significantly contribute to MSE’s and NTU’s advancement in the field of energy materials and advanced sensor development.

Key Responsibilities:

• Conduct thorough literature review and generate periodic updates;
• Lead the design and implementation of computational models for 6WM spectroscopy signals;
• Set up standardized high-throughput data collection and analysis workflows;
• Develop and optimize algorithms for complex quantum systems dynamics;
• Supervise undergraduate and graduate student projects;
• Coordinate collaborative work within external collaborators;
• Generate periodic progress reports as required by funding agency.

Job Requirements:

• PhD in Materials Science/Physics/Computational science or related fields;
• A strong track record of research ability and demonstrated contribution to research (e.g., more than 20 peer-reviewed publications, state-level grant applications, patents) required;
• At least 8 years relevant postdoctoral training or research work experience required;
• Proficiency in scientific programming (C++, Fortran, Matlab, Python);
• Familiarity with the field of open quantum system systems and non-equilibrium dynamics preferred;
• Good written and oral communication skills.

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

Job Responsibilities* You will be responsible for the following:

1. Organize existing relevant speech datasets as well as newly collected speech datasets 2. Write python scripts for data loading, training speech recognition models and inference

3. Develop a web interface for real-time access of the trained model

4. Participate in testing and validation of developed technologies in clinical settings to ensure efficacy and safety

5. Contribute to writing scientific papers, report and grant proposals.

6. Support project team in daily administrative tasks and project management and project management activities.

Requirements

1. Open to Fresh graduate Contract till 30 Sep 2025, extension pending MOH's approval. Bachelor or Master’s degree in Computer Science or related field Proficient in neural networks frameworks such as pytorch
2. Preferably experienced in automatic speech recognition topics Speech or Audio research experience, with publication submissions for relevant conferences such as ICASSP or Interspeech.
3. Good verbal and written communication skills
4. Ability to work collaboratively in a multidisciplinary team environment
5. Prior exposure to or interest in healthcare and clinical applications is highly desirables.

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON,

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Linda LIM
Registration Number: R1221302
EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

Ageing is the key risk factor for heart disease in our older population. The study of ageing in heart disease encompasses the whole spectrum across research to clinical domains. The team at National Heart Centre Singapore and National Heart Research Institute Singapore strives to align research activities according to goals of Singapore’s biomedical and healthcare initiatives. This will include preventive and clinical translational strategies with direct impact on population and clinical patients.

We are seeking motivated individual to support our team’s work in heart ageing. The candidate’s involvement will include organising and conducting research studies under the supervision of the Principal Investigator or designate. Scholarly work such as writing and reviewing research papers and presentation of research outcomes are expected. Opportunities to conceptualise independent research projects for career growth will be encouraged. Team-players are preferred as there will be opportunities to guide and mentor students and research assistants.

Requirements:

• PhD or MSc comparable qualifications with relevant research experience
• Good organisational skills
• A strong team player

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and innovative Postdoctoral Research Fellow to join our team. The successful candidate will contribute to the development of advanced exhaust treatment catalyst materials and devices for ammonia (NH₃) combustion engines. This role involves cutting-edge research at the intersection of catalysis, materials science, and environmental engineering, aimed at enhancing the efficiency and sustainability of NH₃-based combustion technologies.
Key Responsibilities:

1. Design and synthesize novel catalyst materials for exhaust treatment in NH₃ combustion engines.
2. Evaluate the catalytic performance under realistic exhaust conditions, focusing on activity, selectivity, and durability.
3. Develop integrated catalyst-device systems for optimal emission control and reduction of harmful byproducts.
4. Collaborate with interdisciplinary teams, including materials scientists, chemical engineers, and environmental researchers.
5. Utilize advanced characterization techniques (e.g., electron microscopy, spectroscopy) to analyze catalyst structures and performance.
6. Optimize catalyst formulations and device configurations to meet regulatory and performance standards.
7. Prepare high-impact research publications, patents, and technical reports.
8. Present findings at scientific conferences and contribute to grant proposals for continued research.

Qualifications

Educational Qualification:

• A Ph.D. in Heterogeneous Catalysis, Materials Science, Chemical Engineering, or a closely related field.

Technical Expertise:

• Highly skilled in catalyst design, synthesis, and characterization.
• Extensive experience with high-end electron microscopy techniques, including but not limited to aberration-corrected TEM/STEM, EELS, and in situ/operando methods.

Professional Experience:

• Proven track record of extensive hands-on experience in heterogeneous catalysis research.
• Demonstrated ability to tackle complex scientific challenges and deliver innovative solutions.

Personal Attributes:

• Strong team spirit, with the ability to collaborate effectively across interdisciplinary teams.
• Optimistic and forward-thinking, with a solution-driven approach to problem-solving.
• Self-motivated and able to work independently while managing multiple tasks and deadlines.

Communication and Collaboration:

• Excellent verbal and written communication skills.
• Strong ability to present research findings in academic and industry settings.

Research Excellence:

• A record of publishing high-quality research articles in peer-reviewed journals.
• Experience with preparing technical reports, patents, or grant proposals is an advantage.

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. Computational resources are available through a dedicated cluster and collaboration with the High-Performance Computing Centre of NTU. In addition, EOS hosts state-of-the-art analytical facilities for petrological and geochemical analysis, and a Community Engagement office that co-creates learning opportunities for a range of audiences to promote a safer and more sustainable future.

EOS is looking for ambitious, highly motivated Research Fellow (post-doctoral scholar). The successful candidate will work under the supervision of Prof Adam Switzer to investigate various approaches to future tropical cyclone prediction in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with the rising sea-level and changing climate. We're looking for a collaborative individual with a passion for learning, who would enjoy working with people from a wide range of disciplines, with a goal to connecting the dots between the components.

Key Responsibilities:

• Conduct computer simulations by modelling components of sea-level rise, cyclogenesis and their inter-dependencies.
• Interface with climate modeling experts and insurance industry partners on the relevant data for modeling and analysis of future cyclone risk.
• Manage, analyse, and interpret complex datasets, employing the latest methodologies and tools for accurate and efficient data processing.
• Engage in close collaboration with experts across diverse disciplines, integrating various datasets to enhance the understanding on scientific prediction of sea-level rise.
• Develop key case studies that can inform and support policy decisions, emphasizing practical applications of research findings in risk management and mitigation strategies.
• Prepare research outputs in formats accessible to policymakers, risk stakeholders, and the broader community, ensuring clear and effective communication of complex scientific information.
• Present, publish, and communicate research results in scientific meetings, scholarly journals, and other relevant platforms, contributing to the broader scientific discourse.
• Provide guidance and support to junior team members, students, and research assistants, fostering an environment of learning and professional growth.

Job Requirements:

• Ph.D. in Coastal Engineering, Climate Science, or another related field.
• Post-doctoral experience is an advantage.
• Strong fundamentals of climate variability and change, geoscience and atmospheric science, physical oceanography, and meteorological observations.
• Expertise and interests in climate modelling, data analysis, and statistical methods.
• Track record of publishing research relevant to the position in international recognised journals.
• Evidence of excellent communication skills.
• Evidence of independence in research direction and team spirit.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

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

Responsibilities:

• Provides assistance to the research team

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

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

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

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

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on VMCare-As-A-Service: To Enable Cross-VM Introspection and Operation in the Cloud. Successful candidate will be part of an active research team led by Prof DING Xuhua from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• participate in implementing the VaaS framework
• study and migrate existing vulnerability patching techniques to the VaaS setting designed in this project
• design and implement software runtime repairing techniques under the VaaS setting

• Minimum Bachelor's/Master's in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Proficiency in C/C++ is required
• Familiar with computer architecture. Understanding of Intel hardware virtualization is a plus
• Demonstrated experience and know-how on Linux kernel and symbolic execution
• Excellent working knowledge of binary execution• Good analytical, technical and problem solving skills
• Applicants with research publications in system and software security areas will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

ANGEL is looking for a motivated Research Scientist to review the literature, define problem statements, formulate optimization problems, develop advanced AI algorithms, and implement solutions and tests for LAE optimal flight routing, improve battery usage, manage global and local air traffic, and conduct simulations of the proposed algorithms.

Key Responsibilities:

• To survey the literature related to Low Altitude Economy (LAE) and energy consumption models
• To define problem statements to reduce energy consumption in LAE with multiple UAVs
• To formulate optimization problems and develop AI algorithms to reduce energy consumption, increase safety and reliability, and meet all LAE user demands
• To test and fine-tune the algorithms to achieve the best performance

Job Requirements:

• Ph.D. in Computer Science, Electrical Engineering, or related disciplines
• Strong research experience
• Good track record of publications
• Good teamwork and collaboration skills
• Research background in data analytics and machine learning

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

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles
• cyber risk management, advanced threat intelligence
• secure-by-design for IoT and policy
• governance of cybersecurity

For more details, please view https://www.ntu.edu.sg/cysren.

We are looking for a Research Engineer to contribute to advancing research in software security and source code auditing. The role will focus on developing and applying Large Language Models (LLMs) to detect logic bugs and vulnerabilities in software systems, ensuring the reliability and security of critical software systems.

Key Responsibilities:

• Conducting research on the development of an LLM-based code auditing agent to identify vulnerabilities and improve code quality in software systems.
• Developing tools to identify and analyze the business logic of software applications, ensuring alignment with functional requirements.
• Building and maintaining a comprehensive vulnerability database for software systems, cataloging known issues and patterns for further analysis.
• Writing high quality paper based on results.

Job Requirements:

• Bachelor's degree in computer science, cyber security or related field.
• Familiarity with common software vulnerabilities, static program analysis and large language models.
• Good written and oral communication skills.
• Proficiency in at least one programming languages for static analysis; building LLM-based agent systems.
• Good publication on static program analysis and LLM for security.

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

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

For more details, please view https://www.ntu.edu.sg/sbs.

We are looking for a Research Fellow to investigate ribosome-associated protein degradation. The role will focus on exploring how cells identify and degrade faulty proteins produced from stalled ribosomes, with an emphasis on understanding the molecular players and pathways involved in maintaining protein homeostasis.

Key Responsibilities:

• Develop and execute experimental strategies to study ribosome-associated protein degradation pathways.
• Analyze large datasets from proteomics, transcriptomics, or other high-throughput methods to identify novel components or interactions.
• Prepare high-quality research manuscripts, present findings at conferences, and contribute to grant proposals.
• Mentor junior lab members, including graduate and undergraduate students, and foster a collaborative research environment.
• Maintain detailed experimental records, ensure adherence to safety regulations, and contribute to the overall organization of the lab.

Job Requirements:

• PhD degree in biology or related field
• At least 4 years of relevant experience in biology research (including graduate study) / technical hands-on experience in yeast genetics.
• Familiarity with advanced techniques and methodologies in molecular biology, biochemistry, and cell biology, as well as adherence to ethical research standards and best practices in the field.
• Good written and oral communication skills.
• Proficiency in data analysis, and statistical tools, including the ability to organize, process, and interpret experimental data effectively.
• Competent in soft skills such as clear and effective communication, teamwork, problem-solving, and the ability to present and visualize complex scientific data for diverse audiences.
• Strong interpersonal skills, including the ability to work independently, develop solutions under strict timelines, maintain meticulous attention to detail, and demonstrate excellent organizational and time management abilities.
• Entry level candidates are welcome to apply.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

The Earth Observatory of Singapore (EOS) at Nanyang Technological University seeks a Research Associate to support the Air Pollution and Health team's research, led by Prof. Steve Yim. The research focuses on the interactions between climate and air quality, and the resultant impacts on public health and ecosystem.

The position will be required to develop and apply modeling techniques to simulate the spatial distribution of air pollutants in a city at a high spatial resolution, and work on data collection, data processing, model development and application, and data analyses. The position has to document the model development and results in reports and peer-review international journals.

Key Responsibilities:

• To collect required data for model development.
• To develop models capable of simulating the spatial distribution of air pollutants at high spatial resolution.
• To apply the developed models to simulate the spatial distribution of air pollutants.
• To analyze the model results of various air pollutants considering meteorological processes and chemical reactions; and
• To document the model development and results in reports and peer-review international journals.

Job Requirements:

• Have a master or Ph.D. degree in atmospheric science/geography/meteorology/environment.
• Have experience in development of spatial models especially land-use regression model or machine learning.
• Strong communication skills and independence in research direction and team spirit.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

We regret 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 researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop future-ready display technologies and demo applications for virtual reality, augmented reality and mixed reality.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Conduct research towards glasses-free 3D display with artificial intelligence technologies.
• Coordinate procurement and liaison with vendors/suppliers and carry out other project related activities.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• A PhD degree in computer or related programmes and have relevant competence in artificial intelligence (AI).
• Knowledge and experience in NeRF/Gaussian Splatting will be advantageous.
• Able to build and maintain strong working relationships with people within and external to the university.
• Show strong initiative and take ownership of work.
• Teamwork spirit

Key Competencies

• >=3 years of research experience in AI.
• Teamwork spirit and ownership attitude.

Job Highlights

Salary: Up to $4200 per month

Contract Duration: 12 months

Working Location: Nearest to Caldecott MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• To assist in Research and Evaluation of programmes and other administrative work.
• Conducting literature reviews.
• Data collection (development and administration of assessments, online surveys or interviews or extraction of data)
• Manage database (data cleaning and data wrangling).
• Basic statistical analyses.
• Preparation of presentation slides and presentation of findings to various stakeholders
• Coordinating research related work schedules of various stakeholders.
• Taking notes of minutes for meetings.
  

Job Requirements

• Only Singaporean need to apply.
• Degree in Psychology, Social Science or related field.
• Experience in using SPSS software, R, or any other statistical platforms is advantageous.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- At least 3 years of working experience in research or with relevant working experiences;

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities

• Study correlated twisted materials and other topological quantum materials with strong correlations
• Predict nonlinear responses of quantum materials
• Provide theoretical support for our experimental collaborators
• Work collaboratively and train junior lab members

Job Requirements

• PhD in Physics
• Self-motivated with solid background in group theory
• Related research experience in topological quantum materials
• Able to work as a team and independently in an interdisciplinary team
• Published at least 1-2 publications as a first author in top international peer-reviewed journals

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 to inform that only shortlisted candidates will be notified.

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a Research Fellow with strong expertise and publication record in algebra, combinatorics, finite geometry, or a closely related area of mathematics.

Key Responsibilities:

• Propose methods to tackle open problems concerning optimal configurations in finite geometry
• In cooperation with PI and Co-PI, carry out numerical studies to identify promising directions for constructions and nonexistence results for equiangular tight frames
• Produce mathematical proofs for conjectures that arise from numerical studies

Requirements:

• PhD in mathematics
• Deep knowledge in algebra, combinatorics, finite geometry, or a closely related area of mathematics
• Good track record of publications in algebra, combinatorics, finite geometry, or a closely related area of mathematics

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

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Conduct research on computer vision, deep learning and AI, addressing a wide range of challenges in deep learning, computer vision, AIGC, graphics, large multi-modality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.

- Explore the application of large-scale/super-large-scale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, large-scale training and RLHF.

- Proven track record of high-impact research.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

- Possess coding skills in C/C++ and Python.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry / vet experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Office hours, Mon to Fri

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with at least 5 years experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.