Job Description

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• PhD in science
• Programming skills
• Animal handling (mouse)

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• PhD in science

• Programming skills

• Animal handling (mouse).

Job Description

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• PhD in science
• Programming skills
• Animal handling (mouse)

The laboratory of Antimicrobial Resistance and Drug Development at LKC is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimalarial and antimicrobials.

The job responsibilities include:

• Experience working with parasites (malaria) and bacteria (various human pathogens)
• Malaria and bacterial assay development and assay optimization for drug screening
• Target deconvolution in malaria and bacteria (understanding mechanisms of action and resistance)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures
• Candidate must be willing to learn and feel comfortable working with various bacteria
• The candidate must be highly adaptable at working with different organisms.
• Candidate must be highly adaptable at working with different techniques.
• Assume laboratory management responsibilities including helping with grant management, budgets, safety, procurement and others.

The qualifications and competencies include:

• Bachelor Degree in Life Sciences/ Biomedical Sciences, Microbiology, Molecular Biology or related field
• At least two years working experience in research
• Experience working with the malaria parasite
• Experience working with bacteria
• Strong molecular biology background and expertise
• Excellent at team work
• Strong integrity

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

The Research Associate will work on a project to 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 with designing the experimental visualization system to monitor the fluid dynamics and thermal performance.

Key Responsibilities:

• Develop 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.
• Design the experimental visualization system to monitor the fluid dynamics and thermal performance.
• Develop the thermofluid test rig from the cryogenic temperature to 200°C and its support system

Job Requirements:

• Master’s degree in Mechanical or Aerospace Engineering or relevant fields.
• At least 4-year research experience in heat transfer, energy or cryogenic fluid related area.
• Expertise in interfacial phenomena and energy system.
• Good knowledge of thermodynamics, heat transfer, and fluid dynamic analysis.
• Experiences in CFD simulation, interfacial phenomena, and energy analysis are highly preferred.

We regret that only shortlisted candidates will be notified.

Embark on a dynamic journey with The Centre of Hardware Assurance (CHA), Temasek Laboratories@NTU, as we seek a passionate Research Assistant to be part of the research team to conduct hardware security analysis and evaluation. This exciting role encompasses sample preparation, imaging, image processing, and the cutting-edge security analysis of electronic devices. Join us at the forefront of innovation and make your mark in shaping the future of hardware assurance!

Key Responsibilities:

• Engage in innovative research in the realm of hardware security analysis, utilizing state-of-the-art facilities and advanced techniques widely employed in the semiconductor industry
• Contribute to the planning, study, and investigation of workflows dedicated to electronic device security analysis
• Elevate the efficiency and accuracy of the developed security analysis workflows, setting new standards for throughput and scientific excellence

Job Requirements:

• Bachelor’s Degree in Materials Science and Engineering, Electrical and Electronic Engineering, Computer Engineering, Physical and Mathematical Sciences or relevant disciplines
• Basic knowledge in microelectronics is required, and knowledge in failure analysis is a plus
• Excellent verbal and written communication skills
• Problem solving, research and analytical skills
• Independent and can work well in a team
• Singaporean only

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

The Nanyang Business School (NBS) is seeking a highly motivated and talented individual to join our research project as a Research Assistant. The Research Assistant will play a crucial role in supporting our research team in various projects and initiatives.

Key Responsibilities:

• Conduct literature reviews on relevant topics, synthesize information, and summarize key findings.
• Assist in the design and implementation of research studies and experiments.
• Collect and analyze data using various quantitative and qualitative research methods.
• Maintain accurate and up-to-date research records and databases.
• Assist in preparing research reports, presentations, and other research-related materials.
• Collaborate with research project team members to contribute to the development of research proposals and grant applications.
• Stay up-to-date with industry trends, advancements, and best practices in research methodologies.
• Assist in organizing and coordinating research events, workshops, and conferences.
• Perform administrative tasks as needed to support the research team.

Job Requirements:

• Bachelor's degree in a relevant field (such as business, entrepreneurship, social sciences, or related disciplines).
• Strong analytical and critical thinking skills.
• Proficient in quantitative and qualitative research methods.
• Experience with statistical analysis software (such as SPSS, R, or SAS) is a plus.
• Experience in using Generative AI tools such as ChatGPT-4 in research is a plus.
• Excellent written and verbal communication skills.
• Detail-oriented with strong organizational skills.
• Ability to work independently and meet deadlines.
• Strong problem-solving and troubleshooting abilities.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).
• Experience in conducting research and data analysis.
• Familiarity with research ethics and protocols.
• Knowledge of research grant application processes.
• Ability to work effectively in a collaborative team environment.
• Good time management skills and ability to prioritize tasks effectively.

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

Embark on a dynamic journey with The Centre of Hardware Assurance (CHA), Temasek Laboratories@NTU, as we seek a passionate Research Assistant to be part of the research team to conduct hardware security analysis and evaluation. This exciting role encompasses sample preparation, imaging, image processing, and the cutting-edge security analysis of electronic devices. Join us at the forefront of innovation and make your mark in shaping the future of hardware assurance!

Key Responsibilities:

• Engage in innovative research in the realm of hardware security analysis, utilizing state-of-the-art facilities and advanced techniques widely employed in the semiconductor industry

• Contribute to the planning, study, and investigation of workflows dedicated to electronic device security analysis

• Elevate the efficiency and accuracy of the developed security analysis workflows, setting new standards for throughput and scientific excellence

Job Requirements:

• Bachelor’s Degree in Materials Science and Engineering, Electrical and Electronic Engineering, Computer Engineering, Physical and Mathematical Sciences or relevant disciplines

• Basic knowledge in microelectronics is required, and knowledge in failure analysis is a plus

• Excellent verbal and written communication skills

• Problem solving, research and analytical skills

• Independent and can work well in a team

• Singaporean only

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

The Nanyang Business School (NBS) is seeking a highly motivated and talented individual to join our research project as a Research Assistant. The Research Assistant will play a crucial role in supporting our research team in various projects and initiatives.

Key Responsibilities:

• Conduct literature reviews on relevant topics, synthesize information, and summarize key findings.

• Assist in the design and implementation of research studies and experiments.

• Collect and analyze data using various quantitative and qualitative research methods.

• Maintain accurate and up-to-date research records and databases.

• Assist in preparing research reports, presentations, and other research-related materials.

• Collaborate with research project team members to contribute to the development of research proposals and grant applications.

• Stay up-to-date with industry trends, advancements, and best practices in research methodologies.

• Assist in organizing and coordinating research events, workshops, and conferences.

• Perform administrative tasks as needed to support the research team.

Job Requirements:

• Bachelor's degree in a relevant field (such as business, entrepreneurship, social sciences, or related disciplines).

• Strong analytical and critical thinking skills.

• Proficient in quantitative and qualitative research methods.

• Experience with statistical analysis software (such as SPSS, R, or SAS) is a plus.

• Experience in using Generative AI tools such as ChatGPT-4 in research is a plus.

• Excellent written and verbal communication skills.

• Detail-oriented with strong organizational skills.

• Ability to work independently and meet deadlines.

• Strong problem-solving and troubleshooting abilities.

• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).

• Experience in conducting research and data analysis.

• Familiarity with research ethics and protocols.

• Knowledge of research grant application processes.

• Ability to work effectively in a collaborative team environment.

• Good time management skills and ability to prioritize tasks effectively.

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

We are excited to announce a Research Fellow opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) is looking for passionate individuals to join our research team. We welcome applicants with a doctoral degree (PhD) for the Research Fellow position in various backgrounds such as AI in education, deep learning, educational psychology, computer science and related fields.

Join our team on an exciting opportunity to develop a state-of-the-art Adaptive Learning Platform for higher education. This project focuses on leveraging AI to transform the educational experience in key academic areas. Our aim is to create a versatile, AI-driven platform that personalizes learning and adapts to diverse curricular needs. It not only generates unique mathematical problems but auto-grades responses. This initiative holds great potential for scalability and significant impact on student learning outcomes. The successful candidate will be responsible for overseeing the day-to-day operations of this research project.

Key Responsibilities:

• Conduct independent research
• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)
• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders
• Supervise and lead a team of full-time and part-time research staff
• Play a central role in coordinating and running of an educational research project
• Develop and/or manage data analysis pipelines
• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines
• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in AI in education, deep learning, educational psychology, computer science and related fields
• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports
• Knowledge and experience in social science research methodologies
• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)
• Familiar with coding (e.g., in R, MATLAB, Python)
• Experience with research project management and supervision of research staff and students
• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines
• Good leadership skills
• Self-directed learner who can effectively picks up relevant skills as needed
• Self-motivated, able to work independently to collect data, analyse data, and communicate findings
• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred
• Solid understanding and practical experience in machine learning and deep learning techniques, with a focus on implementing and optimizing these technologies
• Proficient in BERT (Bidirectional Encoder Representations from Transformers), demonstrating a strong grasp of its applications and functionalities

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 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:

• Geometric modelling and structure preserving methods for partial differential equations arising in plasma physics
• Implementation of relevant numerical experiments

Job Requirements:

• PhD degree in applied mathematics
• Relevant research experience in modeling in fluid dynamics, structure preserving methods, implementation of fluid type numerical scheme, very high interest in geometric structures
• Enthusiasm, good communication skills, and being able to conduct independent research

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

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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

The National Centre for Research in Digital Trust invites applications for the position of Research Engineer II.

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for its people and businesses by providing businesses and consumers with greater assurance and confidence as they digitalize.

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields required.
• Candidates with minimum of 5 years continuous working experience in a similar role will be considered when appropriate.
• Bachelor degree with minimum 8 years relevant experience may be considered
• Proficiency in programming languages Java, C/C++ is a must.
• Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.
• Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.

Competencies:

• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

We regret that only shortlisted candidates will be notified.

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research
• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)
• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders
• Supervise and lead a team of full-time and part-time research staff
• Play a central role in coordinating and running of neuroimaging study
• Develop and/or manage data analysis pipelines
• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines
• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields
• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports
• Knowledge and experience in social science research methodologies
• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)
• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)
• Familiar with coding (e.g., in R, MATLAB, Python)
• Experience with research project management and supervision of research staff and students
• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines
• Good leadership skills
• Self-directed learner who can effectively picks up relevant skills as needed
• Self-motivated, able to work independently to collect data, analyse data, and communicate findings
• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred
• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred
• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred
• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred
• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques
• Good or working knowledge of machine learning techniques

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

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research
• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)
• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders
• Supervise and lead a team of full-time and part-time research staff
• Play a central role in coordinating and running of neuroimaging study
• Develop and/or manage data analysis pipelines
• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines
• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields
• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports
• Knowledge and experience in social science research methodologies
• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)
• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)
• Familiar with coding (e.g., in R, MATLAB, Python)
• Experience with research project management and supervision of research staff and students
• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines
• Good leadership skills
• Self-directed learner who can effectively picks up relevant skills as needed
• Self-motivated, able to work independently to collect data, analyse data, and communicate findings
• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred
• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred
• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred
• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred
• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques
• Good or working knowledge of machine learning techniques

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

The Centre for Sustainable Materials (SusMat) at the School of Materials Science and Engineering (MSE), Nanyang Technological University (NTU), Singapore, is inviting applications for a Research Fellow position in Prof. Ali Miserez’s research team. The role involves engaging in two key projects: 1) the application of peptide coacervates for nucleic acid delivery into cells, and 2) the use of peptide coacervates to enhance food safety through advanced detection methodologies. This position offers the opportunity to be part of a dynamic and collaborative research environment.

Key Responsibilities: 

• Experiment Design and Execution: Independently design and execute a range of lab-bench experiments, including the synthesis of novel peptide sequences and the in vitro delivery of nucleic acids. This role requires autonomy, proficiency in advanced cell culture techniques, and a commitment to producing accurate results.

• Biophysical Characterization: Employ techniques such as UV-vis and fluorescence spectroscopy, and dynamic light scattering for the characterization of peptide coacervates.

• Scientific Writing and Regular Presentations: Actively contribute to the drafting and publication of scientific papers, effectively communicating research findings. In addition, the candidate is expected to regularly present data and results at lab meetings, demonstrating strong oral communication skills.

• Mentorship and Supervision: Guide and support junior researchers, including students, in their projects and in mastering laboratory techniques and scientific practices, thereby fostering their growth and development.

• General Laboratory Duties and Professionalism: Maintain exemplary laboratory practices and professional conduct, including meticulous lab notebook upkeep, strict adherence to safety protocols, and the maintenance of lab housekeeping standards. Embrace teamwork, assist peers, and adhere to university policies, promoting a positive and collaborative research environment.

Job Requirements: 

• PhD in Biochemistry, Molecular Biology, Cell Biology, Materials Science, or a related field

• Proven laboratory research experience, particularly in peptide synthesis and advanced cell culture techniques

• A strong publication record in peer-reviewed scientific journals, demonstrating significant contributions to scientific research

• Demonstrable experience and a solid understanding of solid-phase peptide synthesis using a peptide synthesizer, UV-vis and fluorescence spectroscopy, dynamic light scattering (DLS), and other biophysical characterization techniques for peptide coacervates

• Proficiency in advanced cell culture techniques, focusing on the delivery of various types of cargo into cells

• Skilled in experimental design, data analysis, and interpretation

• Strong independent research skills and excellent collaborative abilities, showcasing effectiveness in working as part of a research team

• Excellent written and oral communication skills

We regret that only shortlisted candidates will be notified.

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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

The Centre for Sustainable Materials (SusMat) at the School of Materials Science and Engineering (MSE), Nanyang Technological University (NTU), Singapore, is inviting applications for a Research Fellow position in Prof. Ali Miserez’s research team. The role involves engaging in two key projects: 1) the application of peptide coacervates for nucleic acid delivery into cells, and 2) the use of peptide coacervates to enhance food safety through advanced detection methodologies. This position offers the opportunity to be part of a dynamic and collaborative research environment.

Key Responsibilities:

• Experiment Design and Execution: Independently design and execute a range of lab-bench experiments, including the synthesis of novel peptide sequences and the in vitro delivery of nucleic acids. This role requires autonomy, proficiency in advanced cell culture techniques, and a commitment to producing accurate results.
• Biophysical Characterization: Employ techniques such as UV-vis and fluorescence spectroscopy, and dynamic light scattering for the characterization of peptide coacervates.
• Scientific Writing and Regular Presentations: Actively contribute to the drafting and publication of scientific papers, effectively communicating research findings. In addition, the candidate is expected to regularly present data and results at lab meetings, demonstrating strong oral communication skills.
• Mentorship and Supervision: Guide and support junior researchers, including students, in their projects and in mastering laboratory techniques and scientific practices, thereby fostering their growth and development.
• General Laboratory Duties and Professionalism: Maintain exemplary laboratory practices and professional conduct, including meticulous lab notebook upkeep, strict adherence to safety protocols, and the maintenance of lab housekeeping standards. Embrace teamwork, assist peers, and adhere to university policies, promoting a positive and collaborative research environment.

Job Requirements:

• PhD in Biochemistry, Molecular Biology, Cell Biology, Materials Science, or a related field
• Proven laboratory research experience, particularly in peptide synthesis and advanced cell culture techniques
• A strong publication record in peer-reviewed scientific journals, demonstrating significant contributions to scientific research
• Demonstrable experience and a solid understanding of solid-phase peptide synthesis using a peptide synthesizer, UV-vis and fluorescence spectroscopy, dynamic light scattering (DLS), and other biophysical characterization techniques for peptide coacervates
• Proficiency in advanced cell culture techniques, focusing on the delivery of various types of cargo into cells
• Skilled in experimental design, data analysis, and interpretation
• Strong independent research skills and excellent collaborative abilities, showcasing effectiveness in working as part of a research team
• Excellent written and oral communication skills

We regret that only shortlisted candidates will be notified.

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Associate.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research
• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)
• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders
• Supervise and lead a team of full-time and part-time research staff
• Play a central role in coordinating and running of neuroimaging study
• Develop and/or manage data analysis pipelines
• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines
• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• Master's degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields
• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports
• Knowledge and experience in social science research methodologies
• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)
• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)
• Familiar with coding (e.g., in R, MATLAB, Python)
• Experience with research project management and supervision of research staff and students
• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines
• Good leadership skills
• Self-directed learner who can effectively picks up relevant skills as needed
• Self-motivated, able to work independently to collect data, analyse data, and communicate findings
• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred
• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred
• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred
• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred
• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques
• Good or working knowledge of machine learning techniques

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

Centre for Lifelong Learning and Individualised Cognition (CLIC) invites applications for the position of Research Fellow.

Key Responsibilities:

• Collaborate actively within and outside the institutions to complete research projects and advance thinking
• To extend, transform and apply knowledge acquired from scholarship to research and appropriate external activities
• To translate research into educational policy and practice
• Write or contribute to publications or disseminate research findings using other appropriate media
• To assess, interpret and evaluate outcomes of research
• Make presentations at conferences, conduct talks and workshops or exhibit work in other appropriate events
• Routinely communicate complex and conceptual ideas to those with limited knowledge and understanding as well as to peers using high level skills and a range of media
• Mentor colleagues with less experience and advise on personal development
• Coach, train and support colleagues in developing their research techniques
• To develop own research interests within the scope of the CLIC programme

Job Requirements:

• Educated to degree level, normally with a PhD in the relevant specialist subject area
• At least three years of postdoctoral research experience at the level of Research Fellow, or equivalent experience
• Possess sufficient breadth/depth of specialist knowledge in the discipline and of research methods and techniques to develop research objectives, projects and proposals
• A developing bibliography of research publications
• Willing to take a leading role in the coordination and co-supervision of research students
• An interdisciplinary and collaborative research approach
• Will continually update knowledge in the specialist area and engage in continuing professional development

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at [email protected].

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 10-month contract at the National Institute of Education/ Psychology and Child & Human Development Academic Group.

Project Title: Youth Mental Health

Project Introduction: The series of projects aim to investigate a variety of factors that influence stress and coping in youth. In the first project, the main goal is to consider the impact of climate change on youth mental health and examine possible intervention strategies that can mitigate the negative impact of climate anxiety and promote climate change action. The second project aims to develop software tools based on psychological science to promote mental health. The third project will then examine the provision of mental health services in the clinical setting and consider access to services in the local context. Overall, these projects are focused on youth mental health in both community and clinical settings. This Research Assistant for this position must be keen to conduct thorough reviews of the literature and contribute extensively to report writing.

Requirements:

• At least a bachelor’s degree in Psychology or related fields. Applicants with Master preferred
• Relevant research experience, especially literature review and proposal writing
• Good writing and communication skills
• Ability to use online survey programs, such as Qualtrics, as well as statistical analysis programs, such as SPSS
• Ability to be proactive and work independently
• Good interpersonal skills and collaborate well in a research team

Responsibilities:

• Adhere to a hybrid work arrangement
• Conduct systematic literature reviews
• Contribute to report writing
• Support implementation of a range of projects, including recruitment of participants, administration of online surveys, psychological assessment (including interviews), and facilitating prevention/intervention programs
• Maintain survey datasets and data management systems
• Behavioral coding of data and data-entry
• Analyze data and report results
• Provide administrative support for projects
• Support student projects
• Any other tasks as assigned by PI

Application

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

Job Req ID: R00016068 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Psychology-and-Child---Human-Development-Academic-Group---NIE-_R00016068)

Closing Date

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

Wee Kim Wee School of Communication and Information (WKWSCI) is one of the top communication schools in the world, ranking 6th on this year Quacquarelli Symonds (QS) World University Rankings. The Research Office is established to support all research works at WKWSCI.

Being part of the Research Office at WKWSCI, this position supports the grant administration function in advising and assisting faculty and research staff members in all aspects of internally funded research projects and other scholarly research activities.

Responsibilities:

Research Grant Administration:

• Provides effective administration of research grant call applications and management of awarded grants

• Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

Communication of Research Information

• Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.

• Develops content for the school’s website for research grants, projects and achievements.

• Develops Research-related publications (Research Brochures /Pamphlets)

• Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

Monitoring Research Budgets and Assets

• Monitor budgets and expenditures relating to research grants

• Monitor deadlines for the submission of expenditure reports as well as progress and final reports

Requirements:

• A degree holder from a recognised university

• Proven administrative skills including the ability to handle data with accuracy.

• Excellent reporting with some finance working knowledge would be essential.

• Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.

• Sound interpersonal, communication and analytical skills

• Strong organisational and problem-solving skills.

• Proficient in Microsoft Office (Excel, PowerPoint, word)

• Ability to do content management and creation of information on research (Website, social media and newsletters)

• Positive attitude with strong desire to learn new skillsets

We are excited to announce a Research Fellow opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) is looking for passionate individuals to join our research team. We welcome applicants with a doctoral degree (PhD) for the Research Fellow position in various backgrounds such as AI in education, deep learning, educational psychology, computer science and related fields.

Join our team on an exciting opportunity to develop a state-of-the-art Adaptive Learning Platform for higher education. This project focuses on leveraging AI to transform the educational experience in key academic areas. Our aim is to create a versatile, AI-driven platform that personalizes learning and adapts to diverse curricular needs. It not only generates unique mathematical problems but auto-grades responses. This initiative holds great potential for scalability and significant impact on student learning outcomes. The successful candidate will be responsible for overseeing the day-to-day operations of this research project.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of an educational research project

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in AI in education, deep learning, educational psychology, computer science and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Solid understanding and practical experience in machine learning and deep learning techniques, with a focus on implementing and optimizing these technologies

• Proficient in BERT (Bidirectional Encoder Representations from Transformers), demonstrating a strong grasp of its applications and functionalities

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

School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The Maritime Energy & Sustainable Development Centre of Excellence (MESD CoE) was launched in October 2017 and jointly funded by Singapore Maritime Institute (SMI) and Nanyang Technological University (NTU).  MESD aims to be a leading global translational research centre in maritime energy and sustainable development. The Centre calls for talents with inspiration in maritime decarbonisation to join the team and is searching for Research Associates to work on research projects aimed at exploring alternative fuels and energy sources for the maritime industry.

Joining as a Research Associate, you will have opportunities to participate in the research projects on your own and meanwhile work together with other capable and experienced researchers in the centre.

Key Responsibilities:

• Conduct research in the field of maritime energy and sustainable development for maritime decarbonisation
• Carry out ship data collection, analysis and modelling
• Prepare reports and papers for publication, presentation, periodical reporting/meetings, etc
• Liaise with project stakeholders, including funding agencies, industrial partners and academic staff in universities and institutes (locally and internationally)

Job Requirements:

• Master degree with very good academic results in Marine Engineering/Maritime Studies/any Engineering course from a reputable university
• Holistic knowledge of international shipping
• Good skills in data analysis and modelling
• Highly motivated and research oriented
• Able to work independently with minimum supervision
• Fluent verbal and written communications in English
• Problem solver and multi-tasking
• Self-motivated, mature, independent and resourceful
• Effective team player with good communication & interpersonal skills
• Able to work under pressure and meet tight deadlines
• Strong publication record and experience in industry R&D projects will definitely be an added advantage

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

We are excited to announce an opportunity at School of Physical and Mathematical Sciences (SPMS) in Nanyang Technological University, Singapore. The Complex Systems Science @ NTU (led by A/Prof Cheong Kang Hao) and the STEM Learning Optimisation CoLab (led by Dr. Darren Yeo) are looking for passionate individuals to join our inter-disciplinary Science of Learning research team as a Research Fellow.

The successful candidate will be an integral member of an inter-disciplinary Science of Learning research team developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students.

Key Responsibilities:

• Conduct independent research

• Handle grant-related administrative tasks (e.g., prepare and amend ethics documents)

• Conduct literature reviews, and prepare research progress reports and policy reports for stakeholders

• Supervise and lead a team of full-time and part-time research staff

• Play a central role in coordinating and running of neuroimaging study

• Develop and/or manage data analysis pipelines

• Coordinate between and liaising with faculty, collaborators, and stakeholders from different disciplines

• Carry any other duties as required by PI and co-PI(s)

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, educational neuroscience, NeuroAI, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields

• Excellent oral and written communication skills with good command of the English language to perform literature reviews and write progress and research reports

• Knowledge and experience in social science research methodologies

• Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS and R)

• Familiarity with neuroimaging software (e.g., SPM, AFNI, FSL)

• Familiar with coding (e.g., in R, MATLAB, Python)

• Experience with research project management and supervision of research staff and students

• Excellent organizational skills, project coordination and administration skills (e.g., in data management and storage), and able to work within tight deadlines

• Good leadership skills

• Self-directed learner who can effectively picks up relevant skills as needed

• Self-motivated, able to work independently to collect data, analyse data, and communicate findings

• Experience with conducting cognitive neuroscience and/or neuroimaging research with children and/or adults, especially using fMRI, will be preferred

• Experience with resting-state fMRI and/or naturalistic fMRI analyses will be preferred

• Experience with cognitive/neuropsychological assessment with children and/or adults will be preferred

• Experience with dissemination of research findings (e.g., conference presentations and research reports) and academic publication processes will be preferred

• Good knowledge of cognitive functions and cognitive neuroscience theories and techniques

• Good or working knowledge of machine learning techniques

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