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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

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).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.

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 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 seeking a highly motivated and enthusiastic Research Officer (wet or dry) to join our team and work on Spatial and Single-Cell Genomics projects. The successful candidate will have a strong background in molecular biology, genomics, or a related field, and will be working closely with the research team for designing, executing and analyzing experiments related to drug response and drug delivery based on spatial transcriptomics and single-cell genomics.

Key Responsibilities:

Wet-capabilities

• Design, troubleshoot and execute experiments to investigate gene expression in single-cell and/or spatially resolved tissue samples
• Co-develop and optimize experimental protocols for single-cell genomics and spatial transcriptomics

Dry-capabilities

• Process and analyze large genomic data from transcriptomic and genomic assays including single-cell RNAseq, spatial transcriptomics, and other sequencing technologies (e.g. long reads)
• Co-develop algorithms and pipelines for single-cell genomics and spatial transcriptomics

General capabilities

• Maintain detailed experimental records and contribute to scientific discussions and reports (internally)
• Work collaboratively with other members of the team to develop and implement research strategies

Qualifications:

• A Bachelor's or Master's degree in molecular biology, biochemistry, computer sciences, bioinformatics, or a related field
• For wet candidates: strong experience with molecular biology techniques, including (clinical) sample handling, PCR optimization, tissue culture, RNA isolation, and sequencing library preparation. Experience with microscopy, image analysis, and statistical analysis would be advantageous
• For dry candidates: Deep experience in single-cell genomics and/or spatial transcriptomics. Proficient in data analysis tools such as R, Python, familiar with analytical tools and algorithms. Comfortable with large data handling and processing.
• Ability to work independently and collaboratively with other team members
• Excellent organizational and communication skills

This is an exciting opportunity to join a dynamic and growing research team, with excellent prospects for career development. If you are a highly motivated and enthusiastic individual with a passion for molecular biology and genomics, we encourage you to apply.

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.

An exciting opportunity has risen for a highly motivated Senior Research Fellow to join the Singapore Institute for Clinical Sciences (SICS) to work with a collaborative and multidisciplinary team for the project “Completing the Picture: Strengthening Fathers" Roles in Early Child Health and Neurodevelopment Through Targeted Interventions”. The SRF will be responsible for leading data-intensive quantitative research on the interactions between familial environmental, focusing strongly on comparing paternal factors with maternal and other household member factors, and the broader environment (e.g. built and natural environment) on child health, well-being, and development. The SRF will utilize skills in big data management, especially harmonizing and linking geospatiotemporal data with longitudinal cohort data, as well as quantitative causal inference and quasi-experimental techniques, to produce new scientific knowledge, write manuscripts, create presentations and reports, and brief collaborators and other stakeholders (academic, government, community, industry, etc.) as needed.

Job Responsibilities:

The successful candidate will be expected to engage in the following:

• Big data (geospatialtemoporal, multi-modal longitudinal cohort) management, processing, and analysis from a variety of sources (academic, government)
• Conduct quantitative causal inference analyses, e.g. quasi-experimental, instrumental variable, fixed-effects, difference-in-difference, etc.
• Where appropriate, conduct or advise on economic considerations in research, practice, or policy (e.g. program evaluation, cost-benefit analyses)
• Proactively seek out obtain, or develop new data sources that will support or expand the research
• Prepare reports and presentations for internal and external stakeholders
• Leading communications with internal and external project stakeholders, including coordinating and conducting briefings
• Write manuscripts for publication in high-impact journals
• Work closely with the PI and research team while showing a high degree of autonomy and proactiveness

Job Requirements

• Qualification & Field of Study: PhD in relevant quantitatively-focused discipline (e.g., Biostatistics, Economics with focus on Econometrics and causal inference methods).
• Min. Years of Experience: 3 years
• Other Requirements (e.g. Skills, Competencies):
  • Experience and expertise in joining geospatialtemoporal data to longitudinal cohort data and harmonizing data across cohorts for the purposes of data analysis
  • Experience and expertise obtaining, constructing, or developing measures and indicators of built and natural environment, human behavior (movement/migration), and other areal characteristics
  • Strong quantitative skills, particularly in causal inference
  • Strong knowledge of statistical programming in Python and/or R
  • Strong skills in data management and workflow documentation and commitment to open and reproduceable research
  • Evidence of peer-reviewed publications and conference papers in line with career stage
  • Well-organized with strong attention to detail
  • A team player with an ability to work independently
  • Self-motivated in striving for the most rigorous science

Contact

For more information about the position, potential applicants are encouraged to contact Dr. Keri McCrickerd ([email protected]) directly with any questions.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow (Postdoctoral) position is available immediately in the laboratory of Assistant Prof. TANG Wei at the National University of Singapore (NUS) (https://pharmacy.nus.edu.sg/team/asst-prof-tang-wei/).

We are looking for highly motivated and competent research fellows to work on research focusing on building new generation drug delivery technologies for disease visualization, precision nanomedicine, vaccine delivery and immunotherapy. The successful candidate will independently undertake advanced research, lead and promote activities designed to develop collaborative research, collect and analyze research data, prepare reports/presentations/manuscripts, and supervise graduate/undergraduate students.

Qualifications

Qualifications:
o PhD degree in chemistry, life sciences, materials science, bioengineering, or related field.
o Good publication records in peer-reviewed journals.

Experience/Skills:
o Proficient in nanomaterial design and synthesis or molecular biology and immunology.
o Experience with animal handling and cell culture techniques.
o Be able to independently lead projects and effectively work in a team.
o Strong critical thinking and problem-solving skills.
o Excellent project management skills, communication skills, and great ability in written and spoken English.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is the world’s first institute dedicated to the design, synthesis, and application of Functional Intelligent Materials (FIMs). Its global vision is to create a platform to develop FIMs with predetermined properties and autonomous, dynamic functionalities which can respond to changing environmental conditions. I-FIM will then investigate the use of such materials for smart applications in various sectors of technology.

Our outstanding researchers and excellent facilities create an energetic environment for ground-breaking science and world-class training. We are hosted by the National University of Singapore, a globally leading research university, empowering multidisciplinary research that spans cutting-edge approaches from the biological, computational, physiochemical and engineering sciences.

I-FIM has an opening for Visiting Research Assistant Professor for outstanding candidates to expand our current faculty to complement existing strengths and seed new strategic directions.

Job Requirements

The Institute for Functional Intelligent Materials (I-FIM) is seeking candidate with the following experiences and qualifications:

• PhD in Physics
• At least 5 years academic experience in quantum 2D materials and technology, ability to analyse electronic transport properties, measuring low temperature quantum Hall and develop advanced nanofabrication with 2D materials
• Ability to forge partnership with I-FIM to support international collaboration research in quantum technology and joint application of international collaborative research grants
• Distinguished publication records

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.

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.

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.

Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields.
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good communication skills

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Family Medicine (DFM) at NUHS was established in 2017 with the aim of supporting the Division of Family Medicine within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS). DFM is composed of a multidisciplinary team of clinicians, researcher, medical educators, and administrators. DFM provides an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goals of achieving achieve excellence in Family Medicine education, research and practice.

As part of our efforts to significantly increase our research capacity, we are looking to appoint a highly motivated and skilled Research Assistant to support DFM’s research workplans and activities. He/she will play a key role in strategizing and supporting in developing and expanding DFM’s research

capabilities to achieve its research mission of improving the lives of people receiving primary care.

Our research spans across a wide range of areas: chronic diseases, including mental health, cancer care and multimorbidity; healthy longevity; family orientation; and quality of care, including continuity and coordination.

Qualifications

• Bachelors or Masters in Life Sciences, Health & Social Sciences
• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting.
• Advise department researchers in matters pertaining to local and institutional research compliance and ethics regulations.
• Excellent organisation, coordination, and problem-solving skills
• Excellent interpersonal, written, and verbal communication skills

Main Duties and Responsibilities

1. Support department with grant and ethics applications. Liaise with relevant stakeholders in preparing research agreements

• Monitor and advisor for grant submissions and fund utilisation.
• Support in preparing grant applications, propose budget and plan project timelines for submissions
• Support in ethics applications, track progress, answer enquiries when required.
• Liaise with stakeholders in drafting research agreements to ensure compliance.

Main Duties and Responsibilities

2. Grants Management & Administrative Duties

• Track grants’ utilisation on a monthly basis. Generate and prepare financial reports to update department.
• Support academic staff in preparing, submitting and following up on grant variations.
• Support in the recruitment of research expertise to expand the department’s capabilities. Draft job descriptions, arrange interviews etc.
• Support procurement and finance matters related to research projects.

Main Duties and Responsibilities

• Manage the online repository of documents related to research matters to ease use by department members.
• Manage projects’ timelines to ensure it is on track to achieve its desired outcomes.
• Prepare periodic progress reports and presentations to update senior management and stakeholders.
• Secretariat duties such as organising regular meetings. Plan and collate agendas, prepare discussion materials, record minutes and track progress of follow up items.

Main Duties and Responsibilities

3. Research Events and Outreach

• Support research unit in identifying speakers and topics for the regular research forums and workshops.
• Design and circulate fliers, book venues, set up virtual meeting, apply for CME points and submit attendances to Singapore Medical Council (SMC).
• Provide onsite support for events held in person.
• Collate feedback and prepare evaluation reports for research unit.
• Organise overseas experts’ visits by planning programme, booking flights, accommodation etc.

Application

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the Dept of Family Medicine.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

Key Responsibilities:

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
• Design and evaluate privacy preserved Generative AI-based algorithm for generating synthetic data.
• Validate integrated system functionality and performance.
• Help produce progress reports and technical papers on research work.
• Ensure compliance with Work, Safety and Health Regulations.
• Assist in project resource requirements and managing student projects.

Job Requirements:

• Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
• Have relevant research/industry experience in Machine Learning, AI and Privacy.
• An excellent team player who can cope with an agile and fast-paced environment.
• Good communication and interpersonal skills.
• Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.