Research Assistant/Associate

Deadline
20 July

Engagement

Contract

Hours

Full-time

Website

www.tigs.res.in →

Profile

Sonia Sen from TIGS is looking for an interested an enthusiastic individual to join us to study the swim kinematics of different species of mosquito larvae to develop automated tools for their surveillance. You will be based in TIGS, Bangalore, and working collaboration with Subhasis Ray. So, if you like tinkering, are passionate about making a difference in public health, and want to be part of a cutting-edge project that combines technology and citizen science, we want to hear from you!

Project Overview: Mosquito Larval Swim Kinematics

Mosquitoes are vectors for many diseases. Active surveillance of disease carrying mosquito species can help public health officials prepare for disease outbreaks and target particular locations for control measures. Through this project, we aim to create an automated system that leverages citizen science to facilitate monitoring disease carrying mosquito species.

You 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.

Key skills: Python, Machine Learning, Convolutional Neural Networks, Computer Vision, Data Analysis

Duration

Initially for one year

Qualifications

Bachelor’s Degree or higher. People with engineering degrees are encouraged to apply

To Apply

If you are interested in applying for the above research position, please send the following documents, with a clear reference to the job number listed above & to the following email address: [email protected]

• A cover letter explaining your interest in the project (one-page max).

• CV with email, phone number and contact details of three referees.

Applicants must list Job no JC – 28 in their application to be considered.

For more details click here

For any questions, write to [email protected]

Contact

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