Company Description The selected candidate will support the SMART VAYU project under the Centre of Excellence – ATMAN (Advanced Technologies for Monitoring Air-quality iNdicators)

at the Kotak School of Sustainability, IIT Kanpur . SMART VAYU aims to strengthen air quality management through the deployment of indigenous low-cost air quality sensors, real-time environmental monitoring, data-driven decision support systems, and scientific stakeholder engagement.

The project focuses on generating reliable air quality information to support evidence-based policy making, environmental planning, and sustainable urban development. By integrating field monitoring, technology, and research, the project contributes to improving air quality and public health outcomes while strengthening environmental governance.

Role Description The project focuses on developing and deploying a Machine Learning–based framework for district-wise, real-time PM2.5 prediction and hotspot analysis. The work involves processing and conducting time-series analysis of air quality sensor data with detailed spatial and temporal information, applying advanced ML and Deep Learning models to handle missing data and generate hourly predictions.

It includes validation of model performance and outputs under the guidance of experts in Machine Learning and Aerosol Science, along with visualising PM2.5 concentration patterns through heat maps and satellite-based spatial overlays. Additionally, the role requires identifying pollution hotspots, analysing temporal trends across districts,



and coordinating with external partners to ensure smooth execution of the project objectives.In the later stages, the work will involve outreach and training to disseminate the tools for use by policy-makers.

Qualifications

- Post Doctoral Fellow - AI/ML
- Ph.D. in Computer Science / Electrical Engineering or closely related fields with specialization in Machine Learning/ Artificial Intelligence.

- Post Doctoral Fellow - Environmental Science

- Ph.D. in Civil Engineering/Environmental Sciences/Atmospheric Sciences/Climate sciences/mathematics/physics/Climate Policy or relevant field.

Skills required:

- Post Doctoral Fellow - AI/ML
- Background and experience in machine learning, deep learning, and statistical/predictive modeling of data. Fluency in basic ML/AI models for problems such as regression, classification, and clustering. Strong background in mathematics, especially probability theory and time series analysis. Fluency in Python coding and use of ML/AI libraries such as numpy, scipy, and sklearn. Prior experience with deep learning libraries such as PyTorch or tensor flow will be a plus. Significant background in handling and processing large data sets. Impressive publication record in high-impact ML/AI conferences and/or journals.



Familiarity with topics such as time series models (VAR, VARIMA and deep learning variants such as LSTM, GRU, Transformers) and Gaussian Processes will be a plus but is not essential. Past background in interdisciplinary research and working with raw data e.g., from instruments or sensors will be a plus but is not essential.

- Post Doctoral Fellow - Environmental Science - Strong background in atmospheric modeling and air quality research. Significant background in handling and processing large data sets. Impressive publications record in high impact air quality research Knowledge of any scientific programming language. High proficiency in programming languages like FORTRAN, Python, MATLAB, Igor, R etc.

Duration of Appointment:

- The post is purely temporary and is on contractual basis. The appointment for the posts is till the completion of the project.

No. of positions:

- Post Doctoral Fellow - AI/ML - 1
- Post Doctoral Fellow - Environmental Science - 2

Compensation: 60,000-5000-85,000 per month (as per the experience) Benefits: He/she will get the opportunity to work in a conducive setting and can avail the hostel/family accommodation facility (according to availability) at IIT Kanpur.

As regards the medical facilities, only the OPD facility for self shall be available at the Health Centre of IIT Kanpur without any reimbursement of cost of medicines. Any outside referral shall not be reimbursed. For the purpose, a medical booklet shall be provided to you on request.

📌 Post Doctoral Fellow - AI/ML & Env. Sc. (Kanpur)
🏢 The Dainty Consultants
📍 Kanpur