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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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 and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research for the project titled: Collection of carbon dioxide on CO2-philic and phobic surfaces via cryogenic energy.

The scopes cover exploring the selected materials for designing the substrate surface for CO2 condensation, and surface treatment for the liquid wetting for the phase change process and heat exchanging process for the thermal management and decarbonization applications. The project covers material development, interfacial phenomena between gas and liquid, phase change of CO2, heat transfer effect, etc.

Key Responsibilities:

The Research Fellow will conduct the research on development of materials and heat exchanging processes for energy harvesting systems and CO2 collection on the substrate with the different wettability degrees. The roles of this position include:

• Develop and maintain the system for CO2 condensation under the large pressure range.
• Prepare the substrates for CO2 condensation and treating the surfaces with the different degrees with liquid CO2.
• Upgrade the experimental visualization system to monitor the fluid dynamics and thermal performance.
• Develop the thermofluid test rig from the cryogenic temperature to 200°C.
• Develop the model and simulation for CO2 collection.

Job Requirements:

• PhD degree in Mechanical or Aerospace Engineering or the related fields.
• 3-year research experience in heat transfer, energy, or cryogenic fluid related area.
• Expertise in engineering design and experimental skill.
• Knowledge in interfacial phenomena and gas-liquid phase chance.
• Publication track record including journal paper publication is as one reference.
• Proficiency in basics of engineering design, mechanical analysis and thermofluid software.
• Proficiency in English and good communication capabilities for Research Project Purpose.

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

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 and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the works in the Seatrium New Energy Laboratory. The work scope of the manpower is to maintain the safe operation with different engine fuels; design and conduct the fuel and engine tests; manage the ongoing projects in the lab; make the energy and emission analysis with numerical simulation; collaborate the details among NTU, Seatrium Ltd, and other partners; etc.

Key Responsibilities:

The Research Fellow will be in charge of operation and analysis for the project in Seatrium New Energy Laboratory under the School of Mechanical and Aerospace Engineering. The roles of this position include:

• Facilitate the fuel supply system update in the lab
• Monitor and operate the engine fuels including diesel, biodiesel, LNG, hydrogen, ammonia, etc.
• Design the fuel test in the marine engine and perform engine testing
• Measure engine emission and conducted the species analysis
• Model the engine performance and emission
• Support the operation of the ongoing projects
• Collaborate the work between NTU and industrial partners

Job Requirements:

• PhD degree in Mechanical or Aerospace Engineering or related field
• 3-year research experience in mechanical system and fuel system
• Expertise in engineering design and experimental scale
• Experience in numerical simulation for engine performance and emission
• Publication track record is as one reference.
• Proficiency in basics of engineering design, mechanical analysis and thermofluid software
• Proficiency in English and good communication capabilities for Research Project Purpose

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

The Climate Transformation Programme – Cross Cutting Theme 1: Sustainable Societies is seeking to hire a Research Fellow at the School of Art, Design and Media for a one-year duration. The Research Fellow will work in an interdisciplinary and collaborative research environment, aiming to cultivate a critical multiplicity of voices, perspectives, knowledges, and skills from both within and outside academic realms in the formation of ‘Sustainable Societies’ that engage with questions of climate change.

Under the supervision of Professor Ute Meta Bauer, the successful candidate will be embedded within the research framework of Climates.Habitats.Environments., developed by Bauer, which bridges arts and cultural production, local and indigenous knowledge, and science to develop transdisciplinary solutions addressing and mitigating the climate crisis. The Research Fellow will be based at the NTU Centre for Contemporary Art Singapore.

Key Responsibilities

• Responsible for the managerial oversight of the project’s publishing and editorial aspects.
• Author research publications and contribute to the development of public or scholarly presentations related to the research project.
• Identify and author grants to further research projects and related programming, publications, workshops and conferences.
• Support the development of a transdisciplinary MA programme in cultural and environmental conservation and preservation.

Job Requirements

• PhD in humanities, cultural anthropology, art, architecture or design.
• Academic track record in transdisciplinary climate research, as well as in local and indigenous cultural practices, or in cultural and environmental conservation and preservation.
• Strong academic writing skills, preferably in English, with high literacy of cultural and environmental vocabularies for text submissions to peer-reviewed academic journals.
• Strong project management skills and experience with transdisciplinary academic publishing and presentation.

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.

Join the laboratory of Dr Alexander Ludwig at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on the functions of cell polarity proteins in epithelial lumen formation.

Key Responsibilities

• Design, conduct, analyse, and critically interpret cell and molecular biology experiments at a high scientific standard.
• Present and discuss data in weekly group meetings and at local and international conferences.
• Provide guidance and supervision to PhD and undergraduate students, fostering their growth and development within the laboratory setting.
• Preparing detailed reports and manuscripts for publication in esteemed scientific journals.

Job Requirements

• A PhD degree in Molecular and Cell Biology or related areas, with a focus on epithelial cell polarity, cell-cell junctions, and imaging.
• Experience in epithelial cell cultures, 3D cell culture models, protein-protein interaction analysis (IPs, pulldowns), and confocal and electron microscopy
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Entry level candidates are welcome to apply.

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

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

We regret that only shortlisted candidates will be notified.

We are seeking a talented and motivated Research Engineer to join our team focused on developing cutting-edge AI models for vision inspection. This role involves leveraging state-of-the-art computer vision and machine learning techniques to solve complex manufacturing inspection challenges.

Responsibilities:

-Design, develop, and optimize AI models for image-based vision inspection tasks.

-Implement and fine-tune state-of-the-art models such as YOLO, Yolact, DeepLabV3, Vision Transformers, and others.

-Develop and maintain Python-based pipelines for data preprocessing, model training, and evaluation.

-Research and implement innovative algorithms to improve model accuracy and efficiency.

-Collaborate with cross-functional teams to understand project requirements and deliver high-quality integrated solutions.

-Document research findings, experimental results, and software implementations.

-Stay updated with the latest advancements in AI and computer vision technologies.

Job Requirements:

-Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

-At least 3 years of experience

-Strong proficiency in Python programming.

-Expertise in deep learning frameworks like PyTorch (mandatory) and TensorFlow (preferred).

-Hands-on experience with computer vision models, including YOLO, Yolact, DeepLabV3, Vision Transformers, etc.

-Familiarity with image processing techniques and libraries such as OpenCV.

-Strong problem-solving and analytical skills.

-Strong communication and excellent writing skills

-Have a strong work ethic, and able to work on own initiative.

-Team player, communicate efficiently, be flexible and details oriented.

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

At Temasek Laboratories@NTU, our mission is to undertake cutting-edge research in defence science and technology, driving new solutions and advancements across various research areas, including Microsystems Technology, Hardware Assurance, Signal Processing, Advanced Materials, Advanced Laser Technology, and Emerging Technologies.

Microsystems Technology Development Centre (MTDC) at TL@NTU is having ISO certified III-V Wafer Fabrication Line up to 100-mm diameter wafers with strong industrial/academic experienced Technical Specialists/ Engineers/ Scientists. We are a fast-paced research facility that designs, develops, and manufactures integrated chips, i.e. heterogeneous system in package modules, for defence and commercial applications.

We are looking for a hands-on Thin Film engineer who demonstrates a positive attitude, collaborates well in a team, and possesses strong technical abilities along with sound problem-solving skills.

Key Responsibilities:

• Work with the module leader and execute the design of experiment (DOE) using advanced techniques such as sputtering, evaporation, and chemical vapor deposition (e.g. SiO2, SiON, TaN, Au, Ti, Al, Ni, Pt and etc.).
• Develop and optimize deposition parameters to achieve precise film thickness, uniformity, and quality.
• Help to identify and troubleshoot process issues, working towards yield enhancement and performance improvement.
• Utilize a range of characterization techniques, including optical microscopes, surface profiler, SEM, Ellipsometer to analyze thin film properties.
• Maintain detailed documentation of processes such as standard operating procedure (SOP), experimental setups, and results for future reference and knowledge transfer and including training.
• Oversee the operation of laboratory equipment and ensure proper functioning. Work with the equipment vendor to conduct routine maintenance, troubleshooting, and calibration of equipment to minimize downtime.
• Work with the University’s procurement team to source and acquire necessary equipment. Evaluate and select vendors, ensuring equipment aligns with research requirements and budget constraints.
• Adhere to laboratory safety protocols and ensure compliance with University and regulatory standards.
• Collaborate with different modules and team members.
• Communicate effectively with team members, providing updates on processes and status of equipment.

Job Requirements:

• Diploma in Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering) with 3 years of relevant working experience or Bachelor’s degree in any Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering).
• Hands-on working experience in semiconductor fab/cleanroom environment in Thin Film area preferred (e.g. SiN, SiO2, TaN, Al, Au, Ti, Ni, Pt and etc.).
• Ability to create and analyze DOE for Thin Film process.
• Experience in wet bench processes, especially the lift-off technique, is essential.
• Basic knowledge in semiconductor fabrication process and device physics.
• Strong understanding of thin film materials and their properties, with expertise in process optimization and troubleshooting.
• Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.
• Commitment to maintaining high standards of safety, quality, and professionalism in all aspects of work.

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

To support the research project titled:

• Technology Development of Thermal Management, Lifetime Assessment and Prognostics for Li-ion Battery Energy Storage System in Next-Generation Grid
• Design and Development of Compact Energy Storage System
• Design and Development of ESS coupled with solid state transformers

This job position is required for recruiting a highly educated and experienced researcher with experience to develop battery management system for lithium-ion battery packs in energy storage system application. It will also fulfil the objective of NTU in developing energy storage system and novel renewable energy technologies.

Key Responsibilities:

• Develop overall battery management scheme according to system performance requirement
• Design and develop software of battery management system
• Design and develop hardware and PCB layout of battery management system
• Design and develop state estimation algorithm of battery management system
• Design and develop balancing control strategy of battery management system
• Conduct simulation test and debug of developed software of battery management system
• Conduct simulation test, layout design, PCB design, manufacturing, and testing
• Conduct simulation test of the designed algorithm, balancing strategy.
• Responsible to prepare design progress document and final project report

Job Requirements:

• Masters degree in electronics, control, electrical, or similar
• Research or working background in lithium-ion battery product development and production is a must.
• Experience in technology development for lithium-ion battery management system is required.
• Candidate must be familiar with design requirements on control, state estimation, balancing of battery packs
• Familiar with software like Matlab/Simulink, Keil, CodeWarrior, Altium Designer.
• Understand development progress of battery management system product
• Self-motivated and takes initiative
• Independent and can work well with a team
• Organized and detail oriented
• Excellent verbal and written communication skills

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 Research Fellow to support the research for the project titled: Resistive Memory Endurance Enhancement Utilizing Smart Mitigation and Recovery Techniques.

Key Responsibilities:

The Research Fellow will work on the assigned project to conduct the research on development of resistive circuits design. The candidate must have good experience in the areas listed below, possesses excellent skills. The roles of this position include:

• Development of robust resistive circuits design
• Test chip design and layout
• Good testing skills

Job Requirements:

• PhD degree in Electrical and Electronic Engineering or related field
• Expertise in resistive memory circuits design
• Excellent publication track record is an advantage
• Test chip design and testing experience are advantages
• Excellent verbal and written communication skills

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 research associate to work on the development of an AI-power capsule endoscope that emulate a human eye for tracking a fast moving object.

The research associate will work on a project to conduct the investigation on development of ingestible robotic system to enable continuous monitoring of disease relevant biomarkers and decision-making for on-demand delivery of therapeutics in the gastro intestinal tract in a non-invasive and automated manner. Novel sensors and actuators as well as their circuit design interface and algorithms for will be investigated.

Key Responsibilities:

• Development of circuit for implementing FPGA and microcontroller for implementing edge computing in ingestible/implantable electronics.
• Development of AI accelerator for encryption of wireless communication in medical electronics.

Job Requirements:

• MSc in Electrical and Electronic Engineering, computer engineering, or related field
• 4-year research experience in related area
• Expertise in embedded system and FPGA
• Knowledge in interfacing circuit design for low power sensing and wireless communication
• Experiences in biosensors and actuators for biomedical applications are highly preferred
• Publication track record is an advantage
• Proficiency in basics of programming languages such as C, C++ and Python

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.

The PI’s research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

We are looking for a Research Fellow to deliver project milestones for the field of iontronics particularly on energy harvesting, actuator and sensing integration. The role will focus on research on iontronics applications for future energy and soft electronics.

Key Responsibilities

• Interest in iontronics development
• Skills on ionic conducting polymer preparation
• The position requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Participate in the conduct of research project with research team members to ensure completion of deliverables
• Collaborate with internal and external stakeholder on commercialization potential of the research outcomes
• Mentoring and train junior students in the lab
• Assist in grant writing
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
• Assist in high quality reports and documents that consolidate research findings

Job Requirements:

• PhD degree in materials science or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in energy harvesting, sensing and actuators
• Familiarity with required scope on flexible electronics
• Good written and oral communication skills in English – essential for research purposes
• Proficiency in materials synthesis, characterization, electrical data measurements and analyses
• Competent in process integration
• Excellent skillsets in fabrication of ionic conducting polymers
• Advanced knowledge in 3D printing and inkjet printing
• Expert in energy harvesting, Passion in sensing and actuators integration
• Interpersonal skill (Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Candidate with prior experience of more than 2 years working on energy harvesting or actuators
• Candidate with prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for energy harvesting

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

We are currently recruiting a Research Assistant to work in translational respiratory research investigating infectious and immune consequences in chronic inflammatory lung diseases such as asthma, COPD and bronchiectasis. The individual should have a track record in molecular biology techniques such as DNA/RNA extractions & RT- PCRs. and should be comfortable in handling patient derived specimens. The individual should be able to work independently, multi-task & work collaboratively in a cross-disciplinary research environment.

Successful candidates will have the opportunity to work with an international and multidisciplinary team of investigators including close collaborations with respiratory and infectious disease clinicians nationally and the other schools within the wider NTU community where the lab already has existing collaborative projects.

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

Key Responsibilities:

Laboratory:

• Ensure that lab is adequately stocked with clean glassware, chemicals, etc. required for experiments
• To operate and maintain microbiome & other lab equipment
• To perform biological sample processing, DNA extractions, PCRs, basic microbiological techniques
• To perform daily lab management tasks such as inventory of supplies and samples, preparing sample processing media and solutions, ordering supplies and stocks, general housekeeping
• Ensure that standard operating procedures and safety regulations are followed
• To perform other related duties

Administrative:

• Maintain a systematic record of all purchases & track sources of funding
• Liaise with vendors and administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• To prepare lab for safety audits and maintain and update lab safety folder and inventories
• To assist post docs with conducting research studies by preparing sample packs, study questionnaires etc., coordinate and work closely with research teams from multiple sites across Singapore

Key Requirements:

• Degree in life sciences or equivalent in any relevant field of molecular biology
• Expertise in molecular and microbiological laboratory techniques
• Basic level Microsoft Excel & PowerPoint skills
• Good written and oral communication skills
• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details/ excellent organizational / time management skills

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.

Help us get ahead of disease together with our Vaccines MSAT (Manufacturing Science & Technology) team.

Education required: Diploma in Biotechnology or another relevant field.

Language requirement: Written and spoken fluency in English
Application deadline: We will close this vacancy when we have enough applications, so please apply as soon as you can so your application can be considered.

Looking to gain valuable real world work experience and help positively impact the health of billions of people? Apply for a GSK Traineeship today!

The Career Conversion Programme (CCP) (Train-and-Place with Commitment to Hire) for Advanced Biopharmaceuticals Manufacturing Executives/Professionals is a talent development programme aimed at building the next generation of skilled manpower for Singapore’s Biopharmaceuticals manufacturing industry in anticipation of hiring demand.

The training programme consists of 15 months of local attachment with GSK. Due to the nature of the programme, we can only consider Singapore Citizens and Singapore Permanent Residents. For more information, please visit Career Conversion Programmes (CCP) for Individuals

A certificate will be given to successful trainees upon completion of the programme.

What will you do?

The MSAT process science technician’s role is to support the scientists in various process development and process evaluation studies via various tasks such as inventory management, buffer preparation, trial execution and sample management.

• Management of MSAT Process Science facility
• Support qualification of MSAT Process Science equipment
• Support process development / evaluation trials
• Sample management
• Support Environment. Health, Safety and Wellness initiatives

What will you learn?

• Develop strong scientific understanding for process development of various vaccines portfolio.
• Master important skills for laboratory management such as inventory and sample management
• Run process development trials independently and interpret trial outcomes

What are we looking for?

• Diploma in Biotechnology or another relevant field preferred.
• Relevant experience in the bio/pharmaceutical industry in Production, Process Development, Quality Control, R&D or MSAT is a plus.
• At least 2 years' experience in bio/pharmaceutical industry.
• Good knowledge of safety and environment regulations. Good communication skills.
• Good documentation skills.
• Good command of English (verbal and written).

What do we offer you?

• Understand and experience the GSK Culture
• Work with a diversified team of professionals.
• Implement technical knowledge and skills that you have acquired at school
• Apply and develop soft skills such as interpersonal, communications and negotiation skills
• Transport to and from site to MRT stations in centralised locations all across Singapore (only for manufacturing sites)

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.

We are looking for experienced individuals with a strong background in thermal energy systems, computational modelling, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced thermal energy storage solutions and computational techniques, focusing on discovering novel materials and optimizing energy systems through CFD and machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

• Develop new materials for energy storage and thermal management.

• Lead in experimental work, design and conduct experiments to validate the discovery.

• Assist or conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development

• Assist or conduct artificial intelligence (AI) techniques for material discovery and/or device design

• Conduct other required works by the PI

• Write scientific papers/technology/reports and other work-related documents

Key Responsibilities:

• Develop new energy storage materials.
• Design experimental facilities and conduct experiments for energy storage technologies.

Job Requirements:

• PhD degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

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

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret 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 in Chiba group. The Chiba group in CCEB is pursing development of new synthetic routes that allows for efficient synthesis of biologically active complex organic molecules of pharmaceutical interests.

The Research Fellow will take on a significant role in the development of new molecular transformations driven by electricity and light for the synthesis of complex molecules.

Key Responsibilities:

• Conduct daily experiments and analyze data obtained from experiments
• Oversee the project team to ensure timely progress and achievement of research goals.
• Submit weekly reports summarizing experimental results and progress.
• Present research updates in group meetings through oral presentations.
• Assist in planning and preparing future funding proposals.
• Summarize research findings for paper publications.

Job Requirements:

• PhD in synthetic organic chemistry with more than 5 years’ experience in the relevant areas as graduate and/or postdoctoral fellow level in advanced institutions
• Proficiency in using various analytical equipment such as NMR, Mass Spec, IR, UV-vis and Potentiostat
• Ability to handle air-sensitive materials and work with transient species in synthetic chemistry

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

SingHealth Experimental Medicine Centre runs several core facilities for translational research in SingHealth as well as the National Large Animal Research Facility. Reporting to the Assistant Director, you will be responsible in supporting the implementation of policies and initiatives for animal husbandry and care.

You will be involved in the maintenance of animal inventory, equipment and facilities to ensure full compliance with National Advisory Committee for Laboratory Animal Research (NACLAR) guidelines, Animal and Veterinary Services (AVS) requirements and American Association for Accreditation of Laboratory Animal Care (AAALAC) international standards. You will be responsible for ensuring provision for veterinary husbandry and care as well as help in running the animal housing and breeding facilities.

You will also assist with administering appropriate treatments and medications to animals when necessary. In addition, you will help to prepare and set up training activities.

Requirements

• Animal Science/Husbandry or Veterinary Technology Diploma with minimum 3-5 years of relevant experience or
• Candidates with a Diploma in any discipline with minimum 6 years of relevant experience or GCE A / O / N Level with minimum 8 years of relevant experience are welcome to apply
• Ability to handle small and large animal work and perform shift duties, including weekends and public holidays
• Highly motivated with leadership and strong interpersonal skills
• Basic knowledge in Microsoft Office applications

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 job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

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

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

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

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.

We are seeking a talented and motivated Senior Research Engineer to join our team focused on developing cutting-edge AI models for vision inspection. This role involves leveraging state-of-the-art computer vision and machine learning techniques to solve complex manufacturing inspection challenges.

Responsibilities:

-Design, develop, and optimize AI models for image-based vision inspection tasks.

-Implement and fine-tune state-of-the-art models such as YOLO, Yolact, DeepLabV3, Vision Transformers, and others.

-Develop and maintain Python-based pipelines for data preprocessing, model training, and evaluation.

-Research and implement innovative algorithms to improve model accuracy and efficiency.

-Collaborate with cross-functional teams to understand project requirements and deliver high-quality integrated solutions.

-Document research findings, experimental results, and software implementations.

-Stay updated with the latest advancements in AI and computer vision technologies.

Job Requirements:

-Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

-At least 5 years of experience

-Strong proficiency in Python programming.

-Expertise in deep learning frameworks like PyTorch (mandatory) and TensorFlow (preferred).

-Hands-on experience with computer vision models, including YOLO, Yolact, DeepLabV3, Vision Transformers, etc.

-Familiarity with image processing techniques and libraries such as OpenCV.

-Strong problem-solving and analytical skills.

-Strong communication and excellent writing skills

-Have a strong work ethic, and able to work on own initiative.

-Team player, communicate efficiently, be flexible and details oriented.

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

Job Details

Location: City Hall

Working Hours: Mon-Fri, Office Hour

Work Type: 3+9 Month Contract

Salary: Up to $ 4,100 per month

What you will be working on?

• Assist with data collation, analysis, and compilation of Singapore Cultural Statistics
• Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.
• Assist with organisation of research training workshops for the Cultural Policy Research Network.
• Assist with project management of Cultural Connections.
• Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).
• Any other duties as may be agreed and assigned.

What are we looking for?

• Singaporean only
• Minimum Degree in Global Studies/ Political Science/ Public Policy/ Art Management or relevant discipline.
• Good eye for details, interest in research, publications, and data management
• Good command of English with good communication and written skills

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here.

NIE invites suitable applications for the position of Senior Executive / Executive, Grants Management with the Office for Research (OfR).

Responsibilities

• Support the grants management team in the administration of research grants.
• Assist in pre-to-post award research grant administration processes including grant application, budgetary checks, review, completeness checks, grant award, variations, project progress and final reports.
• Manage and ensure research grant administration policies, guidelines and terms and conditions are in accordance with the research grant funding agencies’ and institute’s regulations.
• Support in institutional grant management processes including award creation in grant management systems.
• Provide consultation to project teams on grants processes and guidelines.
• Facilitate grant closure processes.
• Facilitate Research Collaboration Agreements (RCA) and Non-Disclosure Agreements (NDA) between grant stakeholders.
• Support in grants management events organised by the unit.
• Support in ensuring SOPs are updated timely.
• Design/create grants related infographics/posters/collaterals for stakeholder communication and events where required.
• Maintain unit’s research portals, project databases, records and documents.
• Liaison with stakeholders, external parties and auditors.
• Assist in organizing and providing secretarial and logistical support for research grants panel meetings including recording of minutes.
• Support the Associate Dean Grants Management and Strategic Analytics in scheduling, slides preparation and any other duties as and when assigned.

Requirements

• A Polytechnic diploma.
• Preferably with 2 to 3 years of working experience in research grant and/or project management in an educational institution.
• Possess good writing, communication and interpersonal skills.
• Able to work with faculty and staff across various administrative units.
• Strong numerical skills with an eye for detail.
• Strong planning and organizational skills.
• Able to monitor compliance in policies and uphold governance of policies.
• Strong team player.
• Able to learn fast, multi-task and work within tight timelines.
• Demonstrate excellent knowledge of MS Office applications and willingness to learn or use new IT software and applications as and when required.
• Experience in designing infographics will be an added advantage.

Closing Date

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

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 School of EEE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. The interested can find the research topic related to this job in PI (Nanyang Assistant Professor Guangwei Hu): https://dr.ntu.edu.sg/cris/rp/rp02126.

We are looking for a Research Fellow to support research works in CMNE. The role will focus on developing the low-dimensional nanophotonics, focusing on the nonlinear and quantum optical properties of emerging low-dimensional materials.

Key Responsibilities:

The Research Fellow will work on a project to conduct the research on development of low-dimensional nanophotonic structures for quantum and nonlinear optical applications. The roles of this position include:

• Conduct research and develop theoretical models for low-dimensional material nanophotonics.
• Apply numerical models, design photonic nanostructures and measurement of the research above.
• Collaborate with interdisciplinary teams and contribute to joint research projects.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics.
• Experience in matlab, MEEP, RCWA and other softwares and algorithms.
• Excellent publication track records.
• Good understanding of nonlinear and quantum optics.
• Strong knowledge of optical physics, while experimental experience would be preferred.
• Excellent analytical and problem-solving skills.
• Ability to work independently, manage projects, and meet deadlines.
• Effective communication and presentation skills.
• Attention to detail and commitment to scientific rigor.

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