Desirable: Strong background in atmospheric science and air quality research. Knowledge of air quality monitoring sensors/regulatory grade instruments. Experience in machine learning and artificial intelligence models. Significant background in handling and processing large data sets. Experience in GIS analysis. Knowledge of programming languages like FORTRAN, Python, MATLAB, Igore, R, QGIS/ArcGIS.

Salary: INR 60000-5000-85000 per month consolidated (Salary shall be commensurate with experience & skills)

Nature of position: Temporary/Contractual

Location: Mumbai and partly in IIT Kanpur

Duration of appointment: 1 Year or till the end of the project (whichever is earlier), renewed annually based on performance

Nature of Work: Air quality monitoring/Air quality analysis/Spatio-temporal Analysis/geospatial analysis/ Machine learning. This research uses extensive sensor data, mapping tools, and advanced analytical techniques (statistics and machine learning) to: 1) understand how air quality varies across different land-use areas and over time, aiming to improve land-use based planning and policy; and 2) assess the health effects of air pollution exposure by combining location and time-based data with AI models.

How to apply: Interested candidates may apply via email (to dstccp@gmail.com) ONLY giving full details of qualifications and experience in Resume with copies of relevant certificates by March 31, 2025.

Please mention the post applied for and the advertisement number in the subject line of the email.

About the group: Please visit https://iitk.ac.in/atman/ for details.

Selection:

The department reserves the right to fix suitable criteria for short listing of eligible candidates satisfying qualifications and experience. The selection will be based on offline and/or online interview. Only short listed candidates will be informed via email about the date of interview.

Prof. S. N. Tripathi
Coordinator,
National Aerosol Facility,
IIT Kanpur.

INDIAN INSTITUTE OF TECHNOLOGY KANPUR