We are looking for a full-time (5 days a week, 8 hours) Research Fellow and a Research Assistant for 36 months appointment to commence in Jan/Feb 2019 or as soon as possible.
Project: The proposed study aims to develop sound quality assessment and provide an improvement scheme related to the sustainable city design. The study requires close collaborative efforts of a multi-disciplinary team whose expertise covers a broad range of fields such as acoustics, architecture, urban planning, social sciences, statistics and signal processing. It is expected to advance knowledge on human perception of sonic environments and urban city designs across a broadband range of realistic sound sources. This project focus on the prediction of acoustic comfort and the establishment of an effective experimental approach for investigation. The specific aims of the proposed project are the following:
- Developing a novel scheme to better predict sound quality and human acoustic comfort for a given environment and the effects of environmental interventions;
- Developing a comprehensive environmental noise categorisation scheme;
- Acquiring a fundamental understanding of the intricate effects that visual scenery, mixed sounds and personal characteristics may have on acoustic comfort; and
- Developing improved sound quality assessment metrics.
The new scheme is expected to predict sound quality better and improve human acoustic comfort in a given environment, whereby public health in the city affected by noise pollution could also be improved. This innovative approach is expected to arrive at a new methodology and provide tools that will help formulate strategies for maximizing the – likelihood of citizen’s acceptance of the built environment acoustics in the city as well as those related to the design of necessary interventions if required.
This proposed project involves diverse theoretical acoustics as well as experimental acoustics and human perception. This research fellow position will be responsible for the theoretical tasks, data analysis, laboratory-testing and field-testing. S/he will take care of the measurement/recording development and field-testing as well as the development of the sound quality assessment metrics. This research fellow would need extensive prior hands-on experience with the theoretical background as well as acoustic instrumentation and measurements.
This research assistant position will be responsible for the statistical analysis, and theoretical tasks as well as computer-testing, laboratory-testing and field-testing. This position will participate in the formulation of sound perception models for audio-visual settings. S/he will also assist in other aspects of the research and dissemination of the results. The candidates are preferred to register for research degree programme (e.g. PhD or Master by research).
Domain: Architecture, Acoustics, Social Science, Perception, Building Systems
The appointed RA will be involved in the following tasks:
- Assist and take care of all the tasks related to publications in the domain.
- Lead in research and writing of articles
- Development, design, and setup of the experiments/surveys
- Statistical analysis (MANOVA, Cluster Analysis)
- Analysis and collection of data, and graphical representation of information using suitable tools (such as SPSS, Amos, R programme, MATLAB, etc.)
Job Requirements:
- For research fellow, Ph.D. Degree (Res) in Architecture, Acoustics, Social Science, Statistics or another relevant engineering
- For research assistant, Bachelor’s (preferably Master’s) Degree in Architecture, Acoustics, Social Science, Statistics or another relevant engineering
- Knowledge of the scientific research and survey
- Strong record and experience in research work and writing
- Skilled in statistical analysis and/or acoustics measurement
- Capacity to work independently
- Management skills
Compulsory Information to be included.
Please visit the link below:
Research Fellow:
Research Assistant:
Alternatively, interested candidates should contact Siu-Kit (Eddie) LAU at slau@nus.edu.sg with the following:
- Cover letter specifying your research interests and experience
- CV (including GPA/CAP ranking), which should include names and contact of 3 referees
- Most significant publications, if available (no more than two)
- A copy of official transcripts (Bachelor degree and Master degree)
Only shortlisted candidates will be notified and will be asked to complete and submit the NUS Personal Data Consent for Job Applicants to the contact person indicated in the advertisement. (P/S: please double-click on “NUS Personal Data Consent for Job Applicants) and paste the URL (http://www.nus.edu.sg/careers/potentialhires/applicationprocess/NUS-Personal-Data-Consent-for-Job-Applicants.pdf ) onto another new webpage to retrieve the document.
Shortlisted candidates may also be asked to submit additional documents for review, if necessary.