Post-Doctoral Fellow

Indian Institute of Technology - Kanpur; Mumbai; On-site; INR 670,000 - 949,000; Full time

Job summary

INDIAN INSTITUTE OF TECHNOLOGY KANPUR is seeking a Project Post-Doctoral Fellow for air quality research. The role focuses on air quality monitoring, spatio-temporal analysis, and geospatial modeling using extensive sensor data and AI techniques.

The position requires a Ph.D. in Environmental/Atmospheric/Climate Sciences or related fields, with desirable ML, GIS, and programming skills. Location: Mumbai with on-site work at IIT Kanpur for up to 1 year, renewable based on performance.

Qualifications

• Ph.D. in Environmental Sciences/Atmospheric Sciences/Climate Sciences or closely related field.
• 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.

Responsibilities

• 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 understand how air quality varies across land-use areas and time, aiding land-use planning and policy.
• Assess health effects of air pollution exposure by combining location/time data with AI models.

Skills

Air quality research

Machine learning

Data handling

GIS analysis

Python

FORTRAN

MATLAB

R

Igor

QGIS/ArcGIS

Education

Ph.D. in Environmental Sciences/Atmospheric Sciences/Climate Sciences or related field

Tools

FORTRAN

Python

MATLAB

Igor

R

QGIS/ArcGIS

Job description

Advertisement Number: P.Rect./R&D/2025/037

Vacancy for One Project Post-Doctoral Fellow

Essential Qualifications: Ph.D. in Environmental Sciences/Atmospheric Sciences/Climate Sciences or closely related field.

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.

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