The eVTOL Research and Innovation Centre at School of Mechanical & Aerospace Engineering (MAE), Nanyang Technological University, Singapore, is looking for a Research Fellow in the area of Aero Performance.

Key Responsibilities:

• Conduct cutting-edge research in aerodynamics and aeroelasticity using computational tools to push the boundaries of overall aircraft performances.

• Lead research initiatives to optimize overall aero performance and aerodynamic and structural efficiency.

• Contribute to the development of innovative strategies to enhance aircraft performance envelopes.

• Conduct advanced research on the aeroelastic behaviour of aircraft structures, ensuring stability and control under various aerodynamic loads.

• Analyse and interpret experimental and flight test data to contribute to the development of high-performance aircraft.

• Collaborate with a diverse team of researchers, engineers, and scientists to foster an interdisciplinary approach to aerospace research.

• Participate in collaborative research projects and contribute insights to improve overall aircraft performance.

• Document research methodologies, results, and insights in comprehensive reports.

Job Requirements:

• Ph.D. in Aerospace Engineering, Mechanical Engineering, or any related field.

• Proven research experience in aerodynamics, aero performance optimization, and aeroelasticity.

• Expertise in CFD tools, finite element analysis, and advanced engineering research methodologies. E.g. ANSYS, NASTRAN, etc.

• Strong publication record in relevant research journals.

• In-depth understanding of aircraft design principles and performance factors.

• Excellent analytical and problem-solving skills.

• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.

The Wee Kim Wee School of Communication and Information is looking for a Research Assistant/Research Associate/Research Fellow who is interested in examining the use of digital health technologies (health apps, wearables, exergames, VR/AR) to improve older adults’ physical health and mental well-being.

The successful candidate will have the opportunity to work with highly acclaimed scholars from NTU, Singapore ETH Centre, and ETH Zurich and contribute to the development of a digital health tech ecosystem for older adults in Singapore.

Key Responsibilities:

• Conduct literature search

• Assist in development and conceptualization of surveys, experiments, and focus group/in-depth interviews

• Assist in data analysis of surveys, experiments, focus group/in-depth interviews, and “big data” from social media and health apps/wearables

• Contribute to research publications and presentations

• Assist in writing progress report and final research report

• Engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator

• Carry out administrative work associated with the program of research as necessary

Job Requirements:

• PhD and Master in fields including communication, psychology, sociology, or a social science related discipline. Bachelor’s degree with experiences in similar field are welcome.

• Prior experience in social science research (e.g., quantitative/qualitative projects) and/or research in the use of digital health technologies (eg., health apps, wearables, exergames, VR/AR) in older adults

• Good quantitative/qualitative data management and analytical skills (e.g., being able to analyze data using SPSS, MPLUS, R, and/or Python)

• Good communication and organizational skills (ability to work in a highly collaborative and multi-cultural team environment)

• Driven self-starter with good interpersonal communication skills

• Team player in a project setting, also with ability to work independently in a multi-cultural team environment

• Internationally recognized research track record as evidenced by journal publications and conference presentations

Salary will commensurate with experience and qualifications.

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

The Institute for Digital Molecular Analytics and Science (IDMxS) invites applications for the position of Research Fellow.

Key Responsibilities: 

• To prepare and process halide perovskite nanomaterials

• To operate, optimize, troubleshoot and maintain femtosecond, ns and CW laser systems

• To setup and align optical beamlines/setups for optical spectroscopy experiments

• To perform photonics and electromagnetic field distribution simulations

• To perform micro/nano fabrication using a range of techniques (electron beam lithography, laser direct-write, inject printing, vacuum deposition, and molecular self-assembly etc.)

• To fabricate perovskite devices

• To perform data analysis and data interpretation of optical spectroscopy experiments independently

• To assist the principal investigator with the writing of progress reports, research papers and research grants

• To assist the principal investigator in the supervision and mentoring of a small research team comprising of post-graduate students and undergraduate students

Job Requirements: 

• PhD Degree in Physics or Chemistry or Chemical Sciences or Engineering

• PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also welcomed to apply

• Excellent knowledge and experience in synthesis of halide perovskite nanomaterials

• Excellent knowledge and experience in optics, photophysics of semiconductors, lasers, and optical spectroscopy is essential

• Excellent knowledge and experience in photonic and electromagnetic distribution simulations (e.g. COMSOL, FDTD, Lumerical etc)

• Excellent knowledge and experience in micro/nanofabrication techniques (such as electron beam lithography, laser direct-write, inject printing, vacuum deposition, and molecular self-assembly etc.) 

• Minimum 3 Years of Research Experience in micro/nanofabrication and in the synthesis of halide perovskite nanomaterials

We regret that only shortlisted candidates will be notified.

Research project: Connecting within-host viral dynamics with the epidemiology of COVID-19: a multiscale computational infrastructure

In this project, we aim to develop a multiscale modeling framework and computational infrastructure to connect within-host viral dynamics and between-host transmission dynamics. The multiscale model will help address key epidemiological and public health questions which could not be answered by classic (single scale) approaches. Specifically, we plan to develop and calibrate the multiscale model for SARS-CoV-2 and assess effect of intervention (e.g., antiviral treatment) on epidemiological dynamics.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

The Research Fellow primarily leads the project under supervision of PI in the areas of collecting clean data, reviewing literatures, lead model development, lead data analyses, leading the manuscript writing and other areas of the project support.

Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research experience and/or educational background on public health and medicine is a plus but not essential. Computational experience on R is preferred. Good communication skill and respectful attitude for teamwork. The successful applicant will work as part of a growing and energetic team, focusing on quantitatively understanding biological mechanisms of infection and its impact on both individual and population health.

The Centre for Research and Development in Learning at Nanyang Technological University, Singapore (CRADLE@NTU) seeks applicants with a Masters degree in Psychology, Cognitive Neuroscience or related field from University of good standing for a Research Assistant Position.

Key Responsibilities:

• Liaise and work closely with stakeholders from external institutions (including schools) to identify and project collaborators

• Conduct literature reviews and preparing policy reports for stakeholders

• Preparation and updating of ethics documents to institutional review boards

• Data collection using psychological and neuroimaging techniques, such as cognitive testing, MRI and fNIRS

• Perform research-related administrative work, e.g. purchase of material/equipment for research

• To manage data analysis pipelines under supervision of research fellow and PI

• Systems administration, including maintenance of network servers and data security

• To carry any other duties as required by Principal Investigator

Job Requirements:

• PhD/Masters in Psychology, Cognitive Neuroscience or related field from University of good standing

• Possess excellent communication skills with good command of the English language to perform literature reviews and write progress reports

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

• Proficient in statistical analysis (SPSS or R) and experience with neuroimaging software

• Willing to travel to school sites for data collection

• Excellent organizational skills and able to work within tight deadlines

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

• Prior experience with cognitive neuroscience research

• Prior experience in neuroimaging research

• Prior experience with academic publication processes

• Good knowledge of cognitive neuroscience theories and models of for higher cognitive functions

We regret that only shortlisted candidates will be notified.

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

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

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations

• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics

• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding

• Enthusiasm, good communication skills, and being able to conduct independent research

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

Responsibilities:

• Perform site selection (if applicable), initiation, monitoring and close-out visits in accordance with contracted scope of work and good clinical practice. If applicable, Clinical Research Associates may be accountable for development of project subject recruitment plan on a per site basis. Support work with sites to adapt, drive and track subject recruitment plan in line with project needs to enhance predictability.

• Provide monitoring visits and site management for a variety of protocols, sites and therapeutic areas.

• Administer protocol and related study training to assigned sites and establish regular lines of communication with sites to manage ongoing project expectations and issues. Evaluate the quality and integrity of study site practices related to the proper conduct of the protocol and adherence to applicable regulations. Escalate quality issues as appropriate.

• Manage the progress of assigned studies by tracking regulatory submissions and approvals, recruitment and enrollment, case report form (CRF) completion and submission, and data query generation and resolution. May support start-up phase.

• Create and maintain appropriate documentation regarding site management, monitoring visit findings and action plans by submitting regular visit reports, generating follow-up letters and other required study documentation.

• Build awareness of features and opportunities of study to site.

• Collaborate and liaise with study team members for project execution support as appropriate.

Requirements:

• Bachelor's degree in a health care or other scientific discipline or educational equivalent.

• Minimum of 1+ years of on-site monitoring experience; or equivalent combination of education, training and experience.

• Computer skills including proficiency in use of Microsoft Word, Excel and PowerPoint and use of a laptop computer

• Good written and verbal communication skills

• Good organizational and problem-solving skills

• Effective time management skills

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