The Sen lab and Ray lab are looking for an RN to develop an automated system for surveillance of mosquito larvae through crowd-sourcing.

The selected candidate will use Computer Vision and Machine Learning techniques to identify and track mosquito larvae from video recordings. You will train artificial neural network models and use them along with other computer vision techniques to identify and track individual larvae and analyse the data to answer scientific questions. You will also collaborate with a software developer to set up a pipeline for automating the process of identifying and tracking larvae from video data.

Qualification required:

Bachelor’s Degree or higher

Application Deadline: February 23, 2025

Know more about the position and application requirements here.

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