
Search by job, company or skills

About the Research Group
The Acoustics Research Group at the Transportation Research and Injury Prevention Centre (TRIP-C), IIT Delhi conducts interdisciplinary research in engineering acoustics, transportation noise, and sound perception in complex urban environments. The group focuses on developing advanced methods for acoustic measurement, signal processing, modelling, and health impact assessment of environmental noise.
The laboratory works across several research themes including traffic noise exposure modelling in heterogeneous traffic conditions, wind turbine acoustic monitoring and condition monitoring systems, electric vehicle acoustic warning signals, automotive acoustics, and human perception of sound environments. The research integrates field measurements, numerical modelling, psychoacoustic analysis, and data-driven approaches to address engineering and environmental noise challenges.
Role Description
The Environmental Acoustics Research Group invites applications for Postdoctoral Fellow positions to work on research projects related to transportation acoustics, environmental noise, and acoustic systems. The positions offer flexibility in research focus, and candidates will be assigned specific research tasks based on their technical expertise and research interests.
The selected researchers will contribute to one or more ongoing research areas including traffic noise monitoring and exposure modelling, wind turbine acoustics and condition monitoring, electric vehicle acoustic warning systems, automotive acoustics, psychoacoustic evaluation of sound, and acoustic simulation of complex systems.
Depending on their background, candidates may work on field measurements and environmental noise monitoring, acoustic signal processing and feature extraction, numerical modelling and simulation of acoustic systems, or experimental studies of human perception and response to sound environments.
The role includes conducting independent research, collaborating with interdisciplinary teams, publishing research findings in peer-reviewed journals, presenting work at conferences, contributing to proposal development, and mentoring students involved in laboratory research.
Research Areas
Key Responsibilities
Required Skills
Candidates are not expected to possess all of the following skills. Expertise in one or more of these areas is sufficient.
Environmental noise monitoring and acoustic measurements
Acoustic signal processing and spectral analysis
Psychoacoustic analysis and sound perception studies
Vibro-acoustic modelling and finite element analysis
Environmental noise modelling and spatial noise mapping
Automotive acoustics and sound quality analysis
Machine learning and statistical modelling for acoustic data
Software and Technical Tools
Experience in one or more of the following tools is desirable:
Acoustic modelling software such as SoundPLAN, CadnaA, and Odeon
Finite element and simulation tools such as ANSYS, COMSOL, or other FEM-based modelling platforms
Programming and data analysis environments including MATLAB, Python, and R
GIS tools such as ArcGIS or QGIS for spatial noise mapping and exposure modelling
Audio analysis and signal processing frameworks
Qualifications
Ph.D. in Acoustics, Mechanical Engineering, Electrical Engineering, Environmental Engineering, Physics, Transportation Engineering, or related disciplines
Demonstrated research experience in engineering acoustics, environmental noise, signal processing, or vibro-acoustic systems
Strong publication record in peer-reviewed journals or international conferences is desirable
Ability to conduct independent research and collaborate in interdisciplinary teams
Location
Transportation Research and Injury Prevention Centre (TRIP-C) (On-site)
Indian Institute of Technology Delhi
New Delhi, India
How to Apply
Interested candidates may send their CV, a brief statement of research interests, and relevant publications by email to:
Prof Manish Manohare
TRIP-C, IIT Delhi
Email: mpmanohare(at)iitd.ac.in
Suitable candidates will be contacted for further discussion regarding research opportunities in the group.
Job ID: 144369843