Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

The Gaunt group are looking for passionate and creative scientist to join our team as postdoctoral researchers in synthetic chemistry based in Cambridge Centre for Advanced Research and Education in Singapore, and closely integrated with the Gaunt group @ the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor Matthew Gaunt, working at the forefront of cutting-edge synthetic methodologies and their applications (https://www.thegauntgroup.com/).

The synthetic chemist at CARES will be supervised by Prof. Gaunt and will join a “Synthesis Team” of the larger SM3 project, which will involve close collaboration with Profs. Ming Joo KOH (NUS) and Shunsuke CHIBA (NTU). The “Synthesis Team” will be supported by the “AI team”, co-led by Profs. Philippe Schwaller (EPFL), Alexei Lapkin and Markus Kraft (Cambridge/CARES).

Position Overview: As a postdoctoral researcher, you will be involved in designing and developing catalytic activation modes that lead to new synthetic transformations. Synthetic chemists are uniquely placed to leverage catalytic systems to design reactions that control structure and function at a molecular level in all types of bioactive complex molecules. We are looking for experts in synthetic chemistry who are interested in taking on new challenges and exploiting their experience to explore new areas of catalyst-controlled reactivity that lead to an expansion of accessible chemical space.

What skills do you have?

We are looking for passionate and creative scientists to work as part of a collaborative team. Excellent organisational and interpersonal skills are required to ensure success in liaising with a large and diverse research team. Essential requirements include: Ph.D. in Organic Chemistry, Strong background in synthetic organic chemistry, and Demonstrated track record of high-quality research.

When is the position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemist-synthetic-chemistry-for-sm3-mg. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Matthew Gaunt ([email protected]).

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow with a PhD in a relevant field of Computer Science / Chemical Engineering / Chemistry, who combines strong ML/AI expertise with chemical knowledge.

What skills do you have?

The ideal candidate should be skilled in Python programming, experienced with LLMs and chemical reaction databases, and capable of handling reaction data analysis. They should be able to work across disciplines and have a track record of published research.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Close interaction with the home group of lead academic at EPFL

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-data-scientist-chemical-engineering-for-sm3-ps. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Professor Philippe Schwaller ([email protected]).

Job Description: We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

• Required:
  • A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field.
  • Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
  • Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
  • Ability to develop and modify simulation codes to model complex, multi-physics systems.
  • Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
  • Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Eligibility:

• Ph.D. holders with a relevant background in theoretical/computational physics, engineering, or applied mathematics are encouraged to apply.

The Centre for Population Health Research and Implementation (CPHRI) is a centralised platform for population health research, innovation, implementation and evaluation activities in SingHealth. CPHRI aims to seamlessly leverage data and technology to guide and support population health initiatives and accelerate the implementation of research findings in care delivery and improvement.

You will support the work of the Population-based, Unified, Learning System for Enhanced and Sustainable Health (PULSES) Centre Grant as well as other signature research programmes in the centre. You will assist the Principal Investigators in developing grant proposals and study plans. You will conduct literature reviews and systematic reviews as well as assist with study design and planning. You are required to perform data analysis and ensure the accuracy in the data interpreted.

You will be involved in the preparation of abstracts/posters/manuscripts/reports. You will oversee the process and quality of the study execution and keep track of timelines and budget. You will also lead a team of junior research staff and provide technical supervision.

Requirements

• PhD degree in Social Science, Biostatistics, Public Health, Epidemiology, Health Economics or related academic area with at least 3 years’ experience in population health research
• Experience in health economics or implementation science will be an advantage
• Track record of publications in peer-reviewed journals
• Strong quantitative or qualitative research skills
• Proficient with advanced data analytics software (eg. SPSS, STATA, SAS) or qualitative analysis software (eg. Nvivo)
• Excellent written and verbal communication skills
• Highly motivated, independent and able to work in a dynamic environment
• Ability to work independently and in a team

Work arrangements

• This role offers hybrid work arrangements, providing the flexibility of working remotely and in the office

We are seeking a motivated and innovative Post-Doctoral Research Fellow to conduct cutting-edge research in AI safety. The candidate will focus on curating data, aligning AI models, identifying gaps between academic research and industry practices, and developing tools to govern AI behavior. The position also requires regular publication in top-tier AI conferences and journals. This role offers the opportunity to contribute to the development of responsible and safe AI systems while working at the forefront of AI research.

Key Responsibilities:

1) Data Curation and Management: Collect, clean, and organize datasets relevant to AI safety research. Ensure data quality and accessibility for model training and evaluation.

2) Model Alignment and Development: Align AI models with safety objectives, ethical guidelines, and societal norms. Design and evaluate methods to prevent unsafe or unintended AI behavior.

3) Gap Analysis: Identify gaps between current AI safety research and industry practices. Propose actionable solutions and frameworks to address these gaps.

4) User Interviews and Research: Conduct interviews and surveys with stakeholders (users, developers, policymakers) to understand real-world challenges in AI safety. Integrate findings into research and tool development.

5) Tool Development: Develop practical tools, frameworks, or methodologies to govern and evaluate AI behavior. Prototype solutions that enhance AI interpretability, robustness, and compliance with ethical guidelines.

6) Research and Publication: Conduct high-quality, novel research in AI safety. Publish findings regularly in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI safety, ethical AI, alignment, or related areas.
• Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Proven experience with data curation, analysis, and cleaning.
• Track record of publications in top AI/ML conferences and journals.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving abilities.
• Experience in user research, including conducting interviews and surveys.
• Familiarity with fairness, robustness, and interpretability in AI.
• Knowledge of industry trends and challenges in deploying safe AI systems.
• Ability to collaborate across interdisciplinary teams and with external stakeholders.

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.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.
• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.
• Write, publish and disseminate results, including give research presentations at meetings.
• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers
• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.
• Represent the research group at external meetings / seminars, either with other members of the group or alone.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory
• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

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

Title: Secondary Science Teacher (August 2025)

Department/Division: Secondary

Employee Group: Teacher

Reports to: Principal, Vice-principal

Works collaboratively with: All teaching and operational staff

Supervises: None

KEY ACCOUNTABILITY

To improve the quality of learning outcomes for students by providing teaching and learning ‘best practices’ within the framework of the school’s Mission, Vision, Core Values, Learning Principles, Culture, and the International Baccalaureate (IB) Programmes.

TEACHER STANDARDS

1. Teaching is focused on conceptual understanding

Teaching ensures students have frequent opportunities to engage with the statement of inquiry / central idea, key and additional concepts and develop their own conceptual understandings. They can explain or demonstrate their learning, reflect on their learning and make connections to unfamiliar situations or real-world contexts

2. Teaching is based on inquiry

Teaching develops a student's natural curiosity and wonder to provide opportunities for students to investigate, inquire into and answer questions that they have formulated.

3. Teaching is differentiated to meet the needs of all learners

Learning engagements are differentiated and take into account language proficiency and the depth, complexity and pace of learning needed by students. Students are grouped flexibly according to what they are ready to learn and to provide challenge and enrichment.

4. Teaching is informed by assessment

Students receive multiple forms of feedback (self, peer, teacher) and take ownership of their learning, viewing assessment as an ongoing process toward their goals. They understand their progress and can identify actions to improve. Assessment data and observations inform instructional decisions and feedback.

5. Teaching is developed in local and global contexts

Learning engagements provide opportunities for students to learn about others and the world by engaging and taking action with their community and environment.

6. Teaching reflects how students learn

Teaching plans for implicit and explicit opportunities to develop ATL skills. With guidance, students take responsibility for their own ATL skill development, including setting goals, reflecting on their progress and making adjustments in order to meet their goals.

7. Teaching is culturally responsive

Pedagogical approaches incorporate experiences, contributions and histories from across cultures, nationalities, backgrounds, identities and perspectives so students feel represented and seen in the curriculum.

8. Teaching ensures that visible routines and expectations are in place

Lesson expectations are clearly communicated with resources to support students. Behaviour expectations in the class are co-constructed and modelled by the teacher. Low level behaviour is immediately and consistently addressed and positive behaviour management approaches are used to nurture a positive environment. The teacher pays careful attention to monitor the wellbeing of students and regularly communicates concerns with parents.

9. Teaching considers the environment for learning

The learning environment promotes relationships built on trust. There is a positive student climate with opportunities for student collaboration with a balance of student/teacher led work. The teacher seeks contributions from everyone. Students take risks, utilising technology and the environment to develop the skills taught. Students can regulate their learning and attribute their success to things they can change.

10. Teaching uses a variety of strategies to progress learning

Lessons are well-planned with clear learning intentions shared with students. Teaching engages and excites the students, with common misconceptions addressed. Content is sequenced, considering previous teaching and strategies like retrieval practice are used to reinforce learning. Knowledge and skills are applied across subjects.

Additional Responsibilities

• Ensure the safety and well-being of all students in accordance with CIS administrative policies and divisional procedures.
• Complete all required Child Protection training.
• Participate in the Individual Work Plan (IWP) process:
• Meet the expectations as outlined in the CIS Teacher Job Description, the CIS Teacher Standards, and the CIS IB Programme Expectations for Teachers.
• Solicit feedback from parents or students via surveys
• Develop and implement an Individual Work Plan (IWP) that supports the school’s Strategic Plan
• Reflect individually and collaboratively (IWP Meetings with Principal) on the aforementioned components.
• Be actively involved in special events (e.g. Talent Shows, Steam Fair, Exhibitions, etc.), and provide co-curricular and / or coaching as required based on skill set
• Contribute to community building activities
• Be dependable (be where you are expected to be, complete tasks on time; punctual (arrive at school, meetings, etc. on time); and prepared for class (all materials set up and ready for student arrival; plans readily accessible).

REQUIRED QUALIFICATIONS

• A relevant Bachelor’s degree or equivalent
• A teaching certificate/credential
• Successful teaching experience
• Excellent organizational skills
• Positive communication skills
• Capacity to work collaboratively as the member of a team

EXPERIENCE

Training and experience in the International Baccalaureate MYP, or DP preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting.
• Effective selection and use of instructional strategies that leverage the linguistic and cultural assets of ELL students.
• An effective communicator with the capacity to listen, empathise, and connect, as well as teach, present, and motivate.
• A lifelong learner who keeps up-to-date with current research and best practices in teaching and learning.
• A facilitator able to build strong and productive relationships with students, parents, academic and non-academic staff, and the community.
• A change agent, who can motivate and manage positive change in complex environments.
• A strategic thinker who is able to see connections between the school’s vision and mission and IB programme philosophy and create action steps to move the school forward.
• An activator with motivation, energy, and enthusiasm to spare.
• A producer who is results oriented and has a strong sense of accountability for student success.
• A character builder and role model, whose values, words, and deeds are marked by trustworthiness, respect, and integrity.
• An active contributor whose priority is making contributions to the development and success of others.

We are looking for a Senior Research Fellow to conduct to achieve our KPIs, such as publishing papers and presenting findings in conferences, proposed for the research projects in the Saheki lab at LKCMedicine. The role will focus on the overall successes of the ongoing projects, in particular the ones require iPSCs or C. elegans, in the Saheki lab. Our lab is built on diversity, mutual respect, teamwork, and collaboration, with a special emphasis on providing mentorship for young talent, including students and postdocs. We will provide exciting opportunities and vibrant atmospheres as well as state-of-arts core facilities. We also offer a highly attractive remuneration package including competitive salary and fringe benefits. Excited and motivated individuals are all encouraged to apply.

Responsibilities:

• Carry out an independent research project and collaborate with other researchers.
• Supervise junior members of the lab, including graduate students and undergraduate interns.
• Keep a log of lab materials as necessary (e.g., cell lines, plasmid DNAs, proteins, C. elegans strains, and other essential reagents).
• Present research at lab meetings and national/ international conferences.

Skills and qualifications:

• Candidates should have a PhD or equivalent in any relevant field of life sciences with a demonstrated record of excellent problem-solving skills.
• Self-motivated and well-organized with good communication and technical skills.
• Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro reconstitution) is essential.
• Be able to work independently and collaborate effectively in a highly diverse and interdisciplinary team.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research assistant is expected to have solid HCI skills including user study, interviews, usability testing, prototyping, workshop. It is a plus if the RA has hands-on research experience with virtual reality & augmented reality and machine learning system, and/or a strong publication record in top venues.

Qualifications

• A BSc or MSc degree in Computer Science or related field
• Experience in research and strong publication record
• Strong systems development skills
• Prior experience with virtual reality (VR), augmented reality (AR) and machine learning (ML) systems

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Associate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Programming Languages & Software Engineering

Qualifications

• A Master’s degree in a relevant area;
• Experience in research.

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 NUS Centre for International Law (CIL) is inviting applications for a one-year Research Fellow position to contribute to the development and research of the International Dispute Resolution (IDR) programme. Candidates with experience in public international law, including in international tribunals such as the International Court of Justice, are encouraged to apply. The focus topic of the IDR programme is disputes involving States and includes issues related to alternative dispute resolution, international courts and tribunals and peace and security.

The duties of the incumbent will include:

• Conducting research and writing on current issues related to the resolution of disputes involving States;
• Contributing to the development of the IDR programme's research agenda;
• Publications in top tier peer-reviewed journals;
• Development and implementation of conferences, seminars, workshops, and trainings related to international dispute resolution.

The IDR Research Fellow can look forward to working in a small team with a short reporting line and interactions with practitioners in the field. The successful candidate will also have the opportunity to collaborate with other CIL research teams and experts, and to attend conferences and workshops.

Qualifications

• A PhD in relevant area of international law or equivalent experience;
• At least 2 years working experience;
• Proven records in conducting independent research;
• Strong analytical and writing skills - experience with publication of journal articles is desirable;
• Ability to produce academic writing as well as background papers/reports;
• Demonstrable interest in public international law and dispute resolution;
• Strong organisational and communications skills;
• Fluent language skills in English are required;
• Pro-active personality, with the ability to make suggestions and be a hands-on contributor; and
• Tech-savvy.

Application Procedures

Interested applicants are invited to apply directly via the NUS Career Portal with the following supporting documents:

• A covering letter (no more than 1 page) detailing motivations, relevant experience and why the candidate should be considered for the position;
• A detailed CV (no more than 3 pages);
• 1 sample of written work; and
• Names and contact details of 4 referees, including PhD supervisor

Please note that only shortlisted candidates will be notified and invited for an online Zoom interview.

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.

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.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow.

To develop microfluidic-based vascular platforms for atherosclerosis, immunology and extracellular vesicles research. Responsibilities include but not limited to microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis/reporting, grant writing, supervision of PhD students etc.

Key Responsibilities:

• Work on a project to develop novel microfluidics and organ-on-chip platforms
• Perform research related to diabetes, atherosclerosis and peripheral arterial diseases
• Perform in vitro drug testing using microfluidics and in-vitro assays
• Fabrication and validation of microfluidic devices using cell lines, blood and clinical samples.

Job Requirements:

• Interested candidate should possess a PhD degree qualification in biomedical engineering, vascular biology or a relevant biological discipline. We seek a motivated individual who can work well independently as well as with a team. He/she is preferred to have:
• Experiences in organ-on-chip and/or vascular biology research
• Experiences in basic cell and molecular biology techniques (mammalian cell culture, PCR, RT-PCR and ELISA), microscopy and flow cytometry
• Experiences in immunology or extracellular vesicles is an advantage
• Strong publication track record

We regret to inform 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 Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a post-doctoral research fellow. The successful candidate will work on reliability analysis of a floating tidal-wave energy system. Candidates with expertise in reliability analysis and dynamic analysis of floating structures are preferred.

Job Requirements

• Possess a recognised PhD degree in offshore engineering, or a related discipline.
• Strong writing and communication skills
• Good publication record is advantageous
• Open to fixed term contract

Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security

Job Description

If you know teaching is your calling, we want you!

Over at Wondrous Mind, we believe that every child has the potential to succeed and it is our duty to help them achieve their fullest potential. No child is left behind. All teachers aim to deliver our best during our classes.

Responsibilities:

• Conduct lessons according to the centre's curriculum for Secondary 1 - 2 science, Secondary 3 and 4 chemistry.
• Lesson planning and curriculum writing
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Reviewing lessons and programme
• Perform other relevant duties

Requirements:

• Possess Bachelor degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Can do attitude
• Responsible
• No experience but eager to learn and teach may apply

Working Hours:

Full Timer: 3 weekdays, both weekends (until 5 pm).

Training on methodology will be provided for recruited teachers.

Individuals with no experience are highly encouraged to apply, looking out for individuals who are passionate with teaching. Small team with plenty of room for growth.

Interested candidate, please email your resume to [email protected]. Position only open to Citizens and P.R.

Up to 3500

Location: Sci Park

5 days office hour

Responsibilities:

• Conduct studies full-time.
• Perform daily tasks related to animal housing and treatment.
• Ensure the quality and plausibility of raw data.
• Carry out animal treatment and cross-functional study activities.
• Perform endpoint measurements (e.g., urine collection, blood collection, injections).
• Take on additional tasks in areas like taskforce, validation, and committees.

Requirements:

• Min. Diploma/ Degree in Biological Sciences or ITE qualification with relevant experience.
• Min. 1-2 years of experience in a similar role.
• Good knowledge of GLP and AAALAC principles.
• Skilled in MS Word, Excel, and PowerPoint.

If you meet the requirements of this role, please email a detailed resume to [email protected] or telegram @alexgohhl

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

Research Associate (Flow cyto) #HMS

Science Park

monday to friday office hour

up to 4600

• Develop, implement, and refine experimental methods and techniques based on organizational requirements, ensuring they meet scientific standards. Serve as the primary expert in these methods, keeping them updated by monitoring advancements in the field. Provide supervision and training to staff on experimental techniques and laboratory technology systems.
• Plan and oversee activities within well-defined programs, ensuring alignment with timelines and schedules. Coordinate daily tasks within the Cell Bioassays team and manage additional study measurements. Act as the primary contact for study-related matters, facilitating collaboration within the team and participating in resource planning and scheduling.
• Deliver high-quality results within set timeframes, analyze study-related data and reports using scientific and technical principles, and draw conclusions. Review routine data, monitor for deviations, and escalate issues as needed. Lead investigations into unusual findings and propose Corrective and Preventive Actions (CAPA).
• Provide support to the in vivo department by conducting clinical pathology analyses, including sample testing for chemistry, hematology assessments, and various other assays.

How to Apply: send your resume to: [email protected] or telegram @jocelynchan ASAP!

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience) Company EA Licence number : 99C4599 Personnel EA License: R1331820