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:

- Conduct research on business topics

- Craft social media marketing campaigns

- Manage social media channels

- Content creation

- Other tasks as required

Benefits:

- Flexible working hours (between 2 to 8 hours a day)

- Open to exercise of creativity and taking ownership of deliverables

- Internship stipend provided (commensurate with hours worked)

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 a mobile app for visualising geospatial data.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

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.

We are looking for a Research Fellow to take the role as tech lead. The role will focus on investigating proton exchange membrane eater electrolyze and the related catalysts.

Key Responsibilities:

• Develop innovative research methodologies, frameworks, or prototypes relevant to the project goals and objectives.
• Collaborate with internal and external stakeholders on project design, data collection, analysis, and dissemination of findings to ensure impactful outcomes.
• Mentoring graduate and undergraduate students, providing guidance on research techniques, career development, and publication strategies.
• Assist in grant writing by preparing proposals, compiling data, and drafting budgets to secure research funding.
• Maintenance of lab or equipment or supplies including procurement, inventory management, and effective communication with suppliers to ensure operational efficiency.
• Assist or Produce high-quality reports and documents that consolidate research findings, ensuring clarity, precision, and alignment with publication standards.

Job Requirements:

• PhD in Materials, Chemistry, Physics, Chemical Engineering or any relevant science and engineering disciplines
• At least 4 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Experience in materials synthesis/characterizations, gas-phase catalysis and/or theoretical calculations
• A strong track record of research ability and demonstrated contribution to research
• Excellent verbal and written communication skills
• Self-motivated independent scientist and a team player

We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

ISCE2 is looking for a highly motivated candidate with great interpersonal skills to join Lab and Facilities Division. The successful candidate is expected to contribute to ISCE2 by the following:

1. Upkeep and ensure good lab housekeeping for designated laboratories, sufficient supplies of common chemical and laboratory consumables (including procurement) etc.
2. Lab ambassadors to promote sustainable lab operations and greening of laboratories.
3. Ensure common equipment functionality and its operation within required limits by internal and external preventive maintenance.
4. Initiation and coordinate disposal of unwanted, obsolete chemicals and generated waste in designated laboratory.
5. Ensure all new laboratory personnel receive laboratory induction and specific lab operational procedures before they commence work in the lab.
6. Ensure lab occupants (i.e., staff and students) comply with general laboratory safety rules. Communicates information on identified hazards and precautions to all lab users.
7. Initiate and coordinate all necessary corrective actions to rectify safety discrepancy found in the lab.
8. Maintain up-to-date chemical inventory and ensure Safety Datasheet (SDS) for chemicals are readily available for respective laboratories.
9. Coordinate the compilation and maintain laboratory documentation (equipment manuals, equipment standard operating procedures, maintenance records and inventory record of regulated chemicals).

JOB REQUIREMENT

• Diploma or degree related to chemical engineering or equivalent.
• Prior work experience in a laboratory is not a requirement but an added advantage.
• Team player with initiative, drive and good communication skills.
• Ability to work independently under minimal supervision.
• Team player with good communication skills.
• Willing to work on all ISCE2 sites including main site at Jurong Island (Shuttle buses are available at various locations for commute into and out of Jurong Island site).
• Minimum 3 Years of experience

• 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)

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, mathematics, deep learning and other application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as Nature Communications, PRL, T-PAMI, NeurIPS, ICML, ICLR, and etc.
• Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred.
• Strong theoretical background in quantum learning theory, representation learning, and quantum computing.
• Good programming skills in Python. Familiarity with PyTorch or Tensorflow is a bonus.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking for a Research Associate for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Job Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To conduct independent research in large language model theory and trustworthy machine learning.
• To produce publications in top conferences and journals, such as ICML, NeurIPS, and ICLR.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners in understanding large language models and developing more fair, robust, and explainable models.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• A strong background in trustworthy machine learning, particularly in privacy and fairness.
• Solid publication records in privacy and fairness in machine learning.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Generative AI, with a focus on creating long and smooth videos.

Key Responsibilities:

• To conduct independent research in deep learning.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Science or relevant fields.
• Strong background in deep learning and multi-modal learning.
• Strong publication record in top conferences/journals, such as CVPR, NeurIPS, AAAI, IJCAI, T-PAMI, IJCV, and etc.
• Experience in generative AI is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking for a Research Fellow for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around Large-scale Deep Learning Models (LMs), with a focus on learning theory and security of LMs from a physical perspective.

Key Responsibilities:

• To conduct independent research in large-scale deep learning models.
• To investigate the learnability of LMs from a physical perspective.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To collaborate with interdisciplinary teams, including experts in physics, deep learning, and application domains.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Physics, Computer Science, Machine Learning or relevant fields.
• Strong background in quantum machine learning or physics-based approaches to model learning, enabling the candidate to contribute physical insights into the learning and security of LMs.
• Strong publication record in top conferences/journals, such as PRL, NeurIPS, T-PAMI, TNNLS, and etc.
• Experience in interdisciplinary studies of deep learning and physics is preferred.
• Knowledge of programming skill with deep learning architectures, such as PyTorch, TensorFlow, etc.
• Proficiency of programming skill with quantum machine learning architectures, such as PennyLane, Qiskit, and similar platforms, is preferred.
• Capable of handling multiple tasks across projects and research activities.
• Showing excellent communication skills, and willingness to learn.
• Able to work under limited supervision and excel as an effective team member.

We regret 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.