Applications are invited for Project Post-Doctoral Fellow at IIT Kanpur for the year 2023. The last date of application is 12 September.
IITK looking for One Project Post-Doctoral Fellow who would be in-charge of data analysis and building machine learning models for sensor calibration and converting SAAQM data to SA insights.
The continuous ambient air quality monitoring stations (CAAQMS) that are used by government agencies to monitor the concentration levels of PM are expensive. Low-cost sensors have emerged as a potentially cost-effective option for dense air pollution monitoring networks. But they require in-field calibration to improve their precision and accuracy in comparison with CAAQMS. We use machine learning (ML) based regression techniques to calibrate the LCS readings.
Our recent publications involve domain adaptation for sensor calibration. (S. K. Jha, et al. (2021): Domain adaptation based deep calibration of low-cost PM2.5 sensors) applies simple fine tuning based domain adaptation technique for calibration. (K. Yadav, et al. “Few-shot calibration of low-cost air pollution (PM2. 5) sensors using meta-learning) applies model-agnostic meta learning technique for few short domain adaptation-based calibration.
The candidate would be responsible for taking data generated by multiple sensors and regulatory grade equipment, and using data analysis and ML/AI techniques for calibration and to generate insights into the data such as outliers, trends, latent correlations. The candidate will be involved in research on developing new machine learning models that can do the calibration efficiently.
Ph.D. in Computer Science /Electrical Engineering or closely related fields with specialization in Machine Learning/ Artificial Intelligence.
Interested candidates may apply via email (to dstccp[at]gmail.com) giving full details of qualifications and experience in CV, along with two recommendation letters and copies of relevant certificates by September 12, 2023.
Rs. 60,000/65,000/70,000 per month (as per experience)
