Total 51 Science / R&D / Research job vacancies in client site sgp singapore 14 tuas ave 1

The Foundations of Thermodynamics Group is a newly formed group in the School of Humanities at the Nanyang Technological University Singapore led by Nanyang Assistant Professor of Philosophy Eugene Y. S. Chua. Its goal is to provide a space for research on all aspects of the conceptual foundations of thermodynamics, with particular focus on understanding the conceptual foundations of thermodynamics beyond the classical domain, e.g., in the quantum and relativistic domains, how thermodynamics relates to other non-fundamental domains such as fluid dynamics and neuroscience, and how it bears on questions in philosophy such as (but not limited to) questions about emergence, reduction, inter-theory relations, the nature of non-fundamental reality, the laws of nature, and the relation between symmetries and reality.

The group is seeking applications for a Research Fellow position on a 2 year contract. Successful candidates will carry out research which contributes to the group’s goals, primarily collaborating with Asst. Prof. Chua on ongoing projects while developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to the Group’s interests, and excellent communication skills.

Key Responsibilities:

• Collaborating on Asst Prof. Chua’s projects
• Carrying out their own research projects
• Planning and organizing events (workshops, conferences, summer schools) for the Group
• Hosting visiting academics
• Presenting work related to the group’s goals at relevant conferences and workshops

Job Requirements:

• PhD in philosophy or physics
• Demonstrable research track record on topics related to the project, such as but not limited to:
  General philosophy of science
  Philosophy of physics (especially philosophy of thermodynamics and statistical mechanics)
  Demonstrable interest or experience in quantum or relativistic thermodynamics is a plus.
  Cognate topics in philosophy
  Emergence and reduction
  Inter-theory relations
  Effective realism
  Metaphysics of non-fundamental reality
  Natural kinds
  Conceptual change and conceptual engineering
  Symmetries and reality

Application procedure
Please apply by submitting the following documents in Workday:

1) Curriculum Vitae

2) Cover letter

3) Research statement

3) A research proposal outlining in detail at least one research project to be pursued during their time as a research fellow

4) At least 3 letters of recommendation

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.

Position Available: Research Fellow in Structural Biology

We are currently seeking a Research Fellow specializing in structural biology at SBS. The ideal candidate should possess technical expertise and knowledge in mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination. Additionally, the candidate will provide leadership, effective communication skills, and mentorship to students within the team.

Key Responsibilities:

• Conduct research in structural biology, with emphasis on mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination.
• Provide leadership, communication skills, and mentorship to students working in the team.

Job Requirements:

• PhD in a relevant field.
• Extensive technical experience and knowledge in mycobacterial proteins, cultivation of mycobacteria, and structural biology.

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.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

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.

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS), working on topological exciton polariton experiments.

Key Responsibilities:

• Fabrication of topological exciton polariton lattices based on novel seminconductors
• Use electron beam lithographic techniques to etch novel lattice patterns
• Perform optical characterizations of structures using various optical spectroscopy
• Collaborate with theoretical researchers in the design and optimization for new fundamental effects and the creation of polaritonic topological lattices
• Perform nonlinear optical measurements, using interferometric, angle-resolved, and correlation type techniques
• Record, manage, and store collected data in line with NTUs data management policies
• Disseminate results in the form of peer-reviewed publications and presentations at international conferences

Job Requirements:

• PhD in Physics, Optics, Material sciences, Engineering from a reputable University
• Track record of peer-reviewed papers in international journals
• The ideal candidate would have experience in the heterostructure and device fabrications

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.

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 a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

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 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.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects. Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee)

We are looking for a Post-Doctoral/Research Fellow to join our research projects on novel semiconductor devices (memory/transistor).

Key Responsibilities:

• Develop baseline processes for novel memory/transistor test devices.
• Fabricate high quality memory/transistor test devices.
• Characterize test devices physically, analytically and electrically.
• Analyze, organize and present experimental data.
• Draft progress report/research proposal.

Job Requirements:

• PhD degree in electronics engineering or material science/engineering or applied physics or related field
• At least 4 years of relevant experience in semiconductor device fabrication and characterization.
• Familiarity with cleanroom fabrication tools and semiconductor device measurement instruments
• Good written and oral communication skills (mandatory).
• Proficient in cleanroom fabrication and test device characterization (physical/analytical/electrical), data analysis, organization and presentation.
• Self-motivated, responsible, able and willing to self-learn and adapt to changing priorities, possess sharp observational skills, able to work independently as well as in a team.
• Entry level candidates are welcome to apply.

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

Roles and Responsibilities:

Conduct lessons with enthusiasm
Open to new ideas and feedback
Apply Smartpath Education strategies in the classroom
Plan, review, and evaluate lessons
Mark pupils’ work
Plan the curriculum and create new strategies and materials
Give regular feedback to parents on pupils’ learning progress

Requirements:

DIP (NIE), BA (NIE), PGDE (NIE) or overseas equivalent, distinction or merit preferred
Experience in teaching children in primary school
The successful applicant will be driven and results-focused with a “can do” attitude.

Shortlisted applicants will be contacted within 2 weeks from date of application for an interview. Please prepare and bring along the following for the interview:

‘O’ Level Certificate
‘A’ Level Certificate / Diploma Certificate and Transcript
University Degree/ Teaching Diploma Certificate and Transcript
Masters Degree Certificate and Transcript (If applicable)

The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

The successful candidate will join a multi-disciplinary team developing methods for the experimental synthesis of reticular materials. The vision of the team is to automate the discovery and synthesis of materials with properties that are tuned for specific applications. This position requires close collaboration with other teams, necessitating a multi-skilled individual capable of working effectively in a multidisciplinary team environment.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Good command of English and formal writing - for research work purpose
• Adaptable and able to multi-task
• Proficient in MS office applications.

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

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret 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.

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

We are looking for a a research associate position to advance the understanding of chirality in hybrid organic-inorganic materials using cutting-edge Transmission Electron Microscopy (TEM) techniques. The role will focus on investigate the mechanisms of chirality transfer, characterize chiral structures, and explore their functional properties to develop next-generation materials for optoelectronics and spintronics.

Key Responsibilities:

• Chirality Transfer Mechanisms
  Study how chiral organic ligands influence the structural and electronic properties of hybrid frameworks.
• Material Synthesis and Preparation
  Develop solution-based methods for synthesizing chiral hybrid structures.
  Investigate material-based chirality transfer mechanisms, such as mesoporous silica templating.
• TEM Characterization
  Perform high-resolution TEM and selected area electron diffraction (SAED) to elucidate atomic structures and symmetry.
  Conduct energy dispersive X-ray spectroscopy (EDX) for compositional analysis.
• Collaboration and Dissemination
  Collaborate with interdisciplinary teams and publish findings in peer-reviewed journals.

Job Requirements:

• Masters in Material Science Engineering
• At least 3 years of relevant experiences in TEM / technical hands-on experience in operating electron microscopes
• Familiarity with wet lab skills, electron microscopy and sample prep
• Good written and oral communication skills
• Competent in soft skills / information visualization, interaction design
• Interpersonal skills

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

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Experience in formal writing in English - for research work purposes
• Adaptable and able to multi-task
• Proficient in MS office applications

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

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

Responsibilities:

• Assist the Business Development Manager and/or Management to support business unit growth and profit objectives, driving demand for select area of business
• Ensure to meet business unit objectives, sales goals and client retention goals; increase brand recognition; and enhances market position
• Manage PSC marketing efforts including marketing materials, website, social media, tradeshows and events
• Develop a thorough knowledge of products and services, business models, operations, competition, and the industry
• Develop and maintain technical sales expertise, stay updated on all trend and development related to product portfolio
• Track sales progress and support forecast efforts
• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options
• Support Sales staff in key account management through sales cycle in the preparation of quotations, proposals, service contracts, purchase orders, deliveries and manage customer payments
• Establish pricing strategy to improve on product sales and for new business opportunities
• Support local sales process in tender specification, configuration, product presentation and demonstration, trial, user training and support for onsite service coordination
• Manage customer satisfaction
• Follow up on submitted information by telephone or email
• Be committed to independence, neutrality and impartiality in dealing with colleagues, customers and supplier; safeguarding the confidentiality of customers and suppliers, will not disclose confidential information to third parties unless prior agreement has been provided

Requirements:

• Diploma or Degree in Chemical Engineering, Chemistry, Business Management or Marketing or equivalent. Preferably with experience in Services / Product Marketing
• Excellent Microsoft Office skills specifically Word and Excel
• Excellent administration skills
• Business-to-business marketing experience
• Excellent written and spoken English communication skills
• Good eye for detail
• Team player

School of Art, Design and Media is looking for a candidate to join them as a Research Associate.

This is a unique opportunity to engage in cutting-edge research that blends art, technology, and cultural exploration, shaping the future of immersive storytelling. We are offering an exceptional opportunity for an individual who is passionate about urban research, local communities and discovering new sites in Singapore.

Key Responsibilities:

• Project coordination and organization
• Conduct thorough data collection through various research methods.
• Coordinate and organize field research activities.
• Ensure efficient communication and collaboration among team members.
• Field Research and Location Scouting in Singapore
• Collaborate with team members to prepare and organize workshops.
• Overseeing the Recording of Interviews

Job Requirements:

• Master's degree in a relevant field.
• Previous experience in research, data collection, and analysis.
• Strong organizational and coordination skills.
• Excellent communication and teamwork abilities.
• Familiarity with workshop preparation and facilitation.
• Proficient in recording and documenting research interviews.
• Familiar with local communities and sites in Singapore

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

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

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

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

Position Snapshot

Location: Singapore

Company: Nestle R&D Center, Singapore

Type of contract: Permanent

Position Summary

Joining Nestlé means you are joining the largest Food and Beverage Company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future. A Nestle career empowers you to make an impact locally and globally, as you are provided with the opportunity to make a mark and stand out, as long as you seek it. With Nestle, you are enabled and encouraged to grow not only as professionals, but also as people.

We are seeking a dynamic and innovative Associate Food Scientist to build competences of products & process technologies in partnership with project managers and categories, according to projects' key success criteria. In this position, you will support proactively product innovation and renovation teams from inception through industrialization by applying functional knowledge, skills and mindset for root-cause analysis. You will drive ideation and rapid prototyping work for new concepts or built-up of process fundamentals using bench scale technologies.

A day in the life of…

Innovation / Renovation Pipeline:

• Build and share scientific/technological knowledge about Nestlé and competitor's products and processes.
• Scout for new innovative ideas/methods/technologies in line with business strategies and trends. Design and execute experimental plan to test scientific mhypotheses.
• Resourcefully build understanding and stay up to date on business needs and consumer trends
• Develop selected ideas into business-relevant concepts, prototypes and/ or new projects. Attempt cross teams collaboration for larger impact
• Pitch concepts and prototypes to relevant stakeholders

Project Management:

• Propose and deliver on-time agreed technical and scientific support in projects for PTC/R&D/NR and/or Markets.
• Build project specific knowledge and contribute to business related project activities with initiative.
• Present results/methods in well written (includes report structure) and oral form to interested parties or visitors.
• Lead technical activities and deliver objectives & outputs on time together with Project Manager
• Apply basic project management skils to deconflict between projects and deliver on time
• Demonstrate agility and pivot timely when necessary

Technical:

• Demonstrate strong technical knowledge in emulsion formation, stabilization, characterization techniques and industrial relevant operations (eg. thermal and non-thermal processing)
• Particularly strong in ingredients chemistry. Expertise proteins and emulsifiers are preferred. Expertise hydrocolloids and lipids are an advantage
• Stay up to date in the field of expertise (past, current and emerging technologies) from ingredient, formulation to processing.
• Mandatory application knowledge & experience in beverage processing and adjacent liquid system (dilute to semi dilute), such as emulsification, thermal treatment and particle size reduction. Expertise in other unit operations is an advantage
• Knowledge and experience in low moisture system is a plus (powder system, drying techniques)
• Master analytical and bench scale equipment and manage laboratory operations in field of expertise. Develop & scout new methods/tools in field of expertise.
• Propose and justify new laboratory / bench scale equipment.
• Give operational support to customers, assistance in industrialization start-ups, follow-up product launches, including technical and product improvements (upon request).

People and Know How:

• Good understanding on the role of R&D in Nestlé, R&D Singapore's OMP, the Department's vision/mission and their relation to Nestle's corporate objectives/ strategies
• Good understanding of Scientific, Technology, Quality and Safety and Environment knowledge with ability to train others in relevant fields
• Synthesize new ideas based on emerging trends (scientific and commercial settings)
• Propose student projects/internships and provide training on the job to students and junior team members
• Desire to connect & collaborate with scientific community in other research centers and/or expert networks in the area of scientific expertise to promote cross-fertilization between different sites. Whenever makes sense, forge collaboration with external partners
• Understanding of NHW and CSV strategies in practice.
• Continuous learning through experience, mentoring and training.

What will make you successful

• PhD in food science, food engineering or related fields
• 2-5 years of professional applied experience, of which 1-3 years relate to managing R&D projects in an industrial context
• Basic knowledge of quality, safety and hygiene requirements
• Basic R&D or/and operating/factory experience
• Experience working in different projects and support activities in an organization

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.

Key job purpose

• Conduct investigations on the bonding and debonding of adhesively bonded composite joints with modified adhesives via induction heating by developing a in-situ heating – peeling testing device.

Key Responsibilities:

• Deep drive into the modification of adhesives with magnetic particles and investigate the hysteresis heating response under the induction heating.
• Able to fabricate the long fiber reinforced composite materials with modified adhesives for their joining and investigate the debonding response Develop necessary test matrix to do comprehensive parametric studies
• Develop in-situ induction heating and debond test set-up for the peel tests.
• Capabilities in advanced finite element or machine learning tools for process optimisation
• Disseminate the research outcomes into Journal publications, conference presentations and patents, where appropriate.

Job Requirements:

• PhD degree in materials engineering or mechanical engineering or chemical engineering with good relevant track record and experience.

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

Research Assistant

The Earth Observatory of Singapore (EOS) invites applications for the position of Research Assistant who will work with Assistant Professor Aron Meltzner’s research group.

Key Responsibilities:

• Assist with surveying, sample collection, sample processing, carrying of equipment, and similar tasks
• Analyze and interpret tide-gauge data and sea-level proxy data from coral microatolls
• Arrange logistics and handle administrative requirements associated with field work, locally and overseas
• Assist with procurement of equipment and supplies, and similar administrative tasks
• Assist with obtaining research permits, and writing and submitting annual reports
• Participate in the preparation of presentations for conferences and of manuscripts for publication

Job Requirements:

• The candidate should possess a Bachelor’s degree in geological or environmental sciences or similar field.
• The candidate should have extensive field experience in geological or environmental sciences, including field surveying and working in coastal environments.
• The candidate should have working knowledge of coral microatolls and how they grow.
• The candidate should have experience in Adobe® Photoshop®, Adobe® Illustrator®, Microsoft® Excel®, QGIS, R, RStudio, and Agisoft Metashape.
• The candidate must be able to swim, as this will be essential when working in the field.
• Experience doing remote field work overseas will be advantageous.
• Willingness to work occasional early mornings, evenings, or weekends (with time off in lieu as appropriate) is essential, as the timing of field work is dictated by tides and seasons.

Application Procedure:

Interested applicants are invited to submit a full CV for consideration for the post.

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

About the role

To run R&D, product development activities and projects related to aerogel such as paints and fire resistant coatings, boards, blankets and other innovation solutions for commercial thermal insulation applications for various industries such as Oil and Gas, Built and Environment, Marine and Offshore and Electric Vehicles. As a core member, it has a pivotal role in shaping the technology, developing the core products together and defining the vision of the company.

Locations: 8 Cleantech Loop, #08-37 Singapore 637145 .CleanTech 3

Working Days: 5 days a week

Time: 9 - 6 pm

Basic Salary ranges from $4500 to $7000 (Depending on qualifications and experience).

Other benefits include transport allowance and basic medical coverage, annual leave, paternity/maternity and compassionate leave.

Roles & Responsibilities

• Establish R&D procedures and work processes.
• Manage laboratory day-to-day operations including lab organization, laboratory facilities, and safety protocols.
• Stay up to date with scientific literature/patent, brainstorm new ideas with founders and contribute to the intellectual property of the company.
• Development of new and/or improved product formulation to meet customers requirements.
• Work closely with business team and customers/industry partner for pilot trials, implement their feedback and improve existing product to achieve customer specification.
• Development of a suitable manufacturing process for the product formulation.
• Production of sample batch in lab scale and pilot scale.
• Responsible for effective technology transfer and upscaling to commercial scale batches
• Work closely with process engineers to validate manufacturing methods for production scale batches.
• Train production personnel on manufacturing processes.
• Source and evaluate new raw materials for formulation improvement to roll out new variants.
• Monitors the progress of stability study for R&D samples.
• Develop technical specifications, datasheets for commercial and R&D products.
• Trouble-shooting in the areas of formulation and process for routine production.
• Provides documentation to support registration of products with regulatory authority.
• To ensure the quality of product is in accordance with the specification.
• To ensure that products are produced, stored according to the appropriate documentation and monitor storage conditions for materials and products in order to obtain or maintain the required quality.
• To implement quality control framework for commercial products such as COA and COC.
• To ensure that company is always updated with the regulatory requirements.
• To establish and maintain Good Manufacturing Practices for all R&D and commercial projects.
• Mentor and manage junior staff.
• Prepare progress update and presentations
• To ensure all GMP quality related record are kept properly

Requirements

• A minimum of bachelors degree in chemical engineering, chemistry, materials science/engineering, manufacturing engineering, or a related field.
• A minimum of 5 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with various types of solvent free, water based and solvent-based coatings /paint chemistry is advantageous.
• Leadership abilities, problem solving skills and a good communicator
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Ambitious, confident, curious and decisive amidst ambiguity and uncertainty

To Apply:

You can apply directly by sending your cover letter and resume directly to [email protected] quoting ‘Lead Materials Engineer (R&D)’ in the subject line. In the CV/resume, outline why you would be the best fit for this job, date of availability, residential status in Singapore, details of your educational background and work experience.

Nanyang Business School is seeking a full-time Research Associate to work with Professor Sharon Ng in the Division of Marketing. The candidate is expected to assist Prof Ng with on-going research projects, and to work on projects of their own interest. In particular, we seek candidates with interest in understanding how people respond to new technology (e.g., robotics, AR, AI). We are also interested in candidates who may want to explore the intersection of culture and technology. One core aspect of this role will be to help the faculty to design and conduct experiments. The candidate will be included as an author/co-author on publications from the projects.

Key Responsibilities:

• Project management
• Literature review
• Ideation
• Conducting of experiment
• Drafting the paper

Job Requirements:

• Master degree in Psychology, Sociology, Marketing, or related social science discipline. Prior work (including but not limited to dissertation) must involve statistical analyses of survey and experimental data.
• Excellent academic record and work ethic required.
• Excellent written skill is required. The candidate should be able to write a research paper well.
• Enthusiasm for research required.
• Working knowledge of SPSS is necessary. Knowledge of other statistical tool is a plus.
• Prior publication in marketing peer review journals is a plus

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Psychology and Child & Human Development Department.

Project Title: Centre for Assessment and Evaluation at NIE

Project Introduction: The Centre for Assessment and Evaluation is one of NIE’s 5 Strategic Growth Areas, and

• Play a key role in consolidating and growing NIE’s expertise and impact in assessment and evaluation​
• Provide a formal structure for faculty from different Departments / Research Centres (RCs) to collaborate on research, teaching and outreach in the fields of assessment and evaluation. ​
• Increase the local and international visibility of the assessment and evaluation expertise in NIE​
• Act as a point of contact for parties interested in international collaborations or courses in these fields. ​

Requirements:

• Bachelor’s degree in education / psychology / sociology or with qualifications in related fields.
• At least 2-3 years of experience in research
• Experience in an educational environment would be an advantage
• Proficient in Microsoft Office applications (Microsoft Excel and Word) as well as different communication platforms such as Microsoft Teams, Zoom, etc.
• Qualitative and/or quantitative data analysis in both or either.
• Strong interpersonal and communication skills, both written and oral
• Strong writing skills
• Able to work independently and effectively in a team

Responsibilities:

This position is to support the evaluation team in its research undertaking to explore and adapt evaluation frameworks for use in Singapore schools. The Research Assistant will assist the team in:

• Conducting fieldwork in schools to collect and analyze information to help schools revise the evaluation of their programs.
• To support and coordinate various research, teaching and outreach activities and work related to the development of the Centre. These include:
• Support the evaluation team with research activities in schools
• Coordinate research activities
• Collection of qualitative and quantitative information and feedback from educators and stakeholders
• Analyze data
• Writing reports and proposals
• Any other duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019360 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Psychology-and-Child---Human-Development-Department--NIE-_R00019360)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

LKCMedicine seeks a Research Associate (RA) to lead innovative research in medical image processing, 3D organ reconstruction, large-scale model applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use. These tools will support clinicians and researchers, enhancing healthcare delivery. The RA will play a vital role in advancing LKCMedicine's mission of leveraging technology to improve patient outcomes and maintain the institution's leadership in medical innovations.

Key Responsibilities:

• Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
• Explore and develop the application of large-scale pre-trained models in medical scenarios, including but not limited to intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
• Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
• Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
• Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
• Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.
• Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.
• Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.
• Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.
• Write research proposals, grant applications, and contribute to the team's strategic research direction.
• Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.

Key Competencies and Education Qualifications:

• Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
• Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
• A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
• Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
• Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
• Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.
• Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.
• Familiarity with using VR/AR devices and medical visualization tools (such as Unity) for 3D software applications.
• A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.
• Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.
• Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.