The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in transition metal catalysis at the Zhong Group. CCEB is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Research Fellow will take on a significant role in conduct cutting-edge research in transition metal catalysis and organic methodology.

Key Responsibilities:

• Conduct routine lab research and data analysis in organic chemistry and organometallic chemistry.
• Assist in instrument installation and maintenance, and acquisition of lab consumables.
• Mentor junior researchers and teach organic chemistry lab skills, oversee lab safety.
• Present research progress in group meetings and private meetings.
• Organize results for publications.

Job Requirements:

• PhD in organic chemistry
• At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions.
• Solid analytical skills including NMR, mass spec, chiral GC/HPLC, polarimeter, IR, UV/VIS, etc.
• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We regret that only shortlisted candidates will be notified.

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

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

Key Responsibilities

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

Job Requirements

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

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information).

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

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

Key Responsibilities:

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

Requirements:

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

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

Temasek Laboratories@NTU is looking for a candidate to join them as a Senior Research Scientist.

Key Responsibilities:

• The candidate will be expected lead and conduct research in urban sensing, specially the detection, localization and classification of active and passive targets via wireless RF signals in harsh urban environments.
• The candidate will be responsible for both theoretical development of methods and experiment design to validate the developed methods.
• Additional research responsibilities include supervising junior researchers, interns, and students; conducting detailed literature review and assessment of the state-of-the-art technologies; planning and executing detailed R&D activities to meet project objectives and deadlines; generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety management, asset management, and other duties as required.

Job Requirements:

• PhD in Electrical & Electronics Engineering or a related fields
• Strong background and knowledge in modern RF communications/ digital signal processing particularly in wireless communications and RF Array processing, with at least 10 years of research experience.
• Proven track record in research and development of algorithms.
• Proficiency in algorithm development and programming skills using MATLAB or Phyton.
• Knowledge of machine learning or deep learning techniques.
• Familiarity with Ettus USRP devices, GNU Radio/LabVIEW programming is an advantage.
• Strong publication record.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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.

Research Engineer, Algorithm and Operation Researcher for VR/AR system development

• Support the development of advanced VR/AR systems to enhance research. This position focuses on developing Unity-based applications, designing and integrating virtual environments with real-time tracking data for immersive visualization.

Key Responsibilities:

• Join the team to development of advanced VR/AR systems:
• Develop Unity-based applications for dynamic visualization and seamless user interaction.
• Design and implement immersive VR environments.
• Create and enhance high-resolution 3D models of animal and terrains, adding articulated joints for realistic movement and animation of animal model.
• Complete necessary technical documentation writing, summarizing and recording according to project progress.
• Collaborate with the team to achieve project milestones and undertake additional tasks required for successful project completion.

Job Requirements:

• Bachelor’s degree/master’s degree/PhD in computer science, electrical engineering, mechanical engineering or relevant area.
• At least 2 years of experience in Unity or Unreal Engine development.
• Experience with 3D modelling software (e.g., Blender, Maya).
• Proficiency in C# programming.
• Familiarity with VR hardware, especially Meta Quest Pro or equivalent devices.
• Hands-on experience with VICON tracking systems or similar technologies is advantageous.
• Relevant project experience in VR/AR development.

We regret that only shortlisted candidates will be notified

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

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

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations
• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics.
• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding.
• Enthusiasm, good communication skills, and being able to conduct independent research.

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

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

Responsibilities:

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

Skills and qualifications:

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

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.

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

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

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

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

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

Job Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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

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

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

Job Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

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

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

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

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

Key Responsibilities:

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

Job Requirements:

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

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

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

The 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.

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 College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments 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 a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent.
• Background knowledge in signal representation/processing, esp for scent signals.
• Prior research experience and track record in signal detection, machine learning and deep learning.
• Prior programming experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, Matlab…)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.
• Excellent teamwork and verbal, written communication skills

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 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.

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

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

We are seeking for a Research Associate for a term of one year to conduct high quality research. The successful candidate will play a pivotal role in a project centered around AI safety, with focus on watermarks for the Large Language Models.

Key Responsibilities:

• To conduct independent research in AI safety, especially watermarks for LLM.
• To produce publications in top conferences and journals.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• Strong background in research on the Large Language Model.
• Experience in watermarks for the Large Language Model is preferred.
• Knowledge of programming skills with deep learning architectures, such as PyTorch.
• 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.

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 quantum and nonlinear 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.
• Perform the quantum and nonlinear experiments.

Job Requirements:

• PhD in Optical/Device Physics, Electrical Engineering, Materials Science, or a related field with low-dimensional nanophotonics. Excellent publication records will be preferred.
• 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.
• Excellent experience of quantum and nonlinear photonic experiments

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.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

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

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Job Requirements:

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

We regret that only shortlisted candidates will be notified.

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.

Center for Leadership and Cultural Intelligence (CLCI) at Nanyang Business School, is seeking a suitable candidate for the position of Research Associate. The Research Associate will be part of a dynamic team of researchers involved in spearheading high-impact research on leadership and cultural intelligence. In addition, this role offers great opportunities for acquiring research skills and capabilities.

Key Responsibilities:

• Design and manage data-collection, including set-up and administration/coordination of surveys and field interviews
• Collate quantitative and qualitative survey data and managing the database
• Conduct literature review and data analyses
• Present information in both visual and written formats

Job Requirements:

• Master’s Degree, preferably in Psychology
• Proficient in Microsoft Office (e.g. Word, Excel, Powerpoint) and other data visualization software (e.g., Tableau)
• Proficiency in statistical packages (e.g., R, SPSS) will be an advantage
• Detail-oriented, meticulous and able to work independently under time pressure
• Excellent interpersonal skills

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.