Job Description

Number of Vacancy: 1


Project Title: Monitoring reproductive strategies of marsh crocodile populations within Gujarat, an interdisciplinary approach using deep learning tools, behavioral observations, and non-invasive endocrine assay


Department: Biological and Life Sciences and School of Engineering and Applied Science , Ahmedabad University


Project Tenure: 3 years (based on a performance review)


: We are seeking a motivated and skilled Junior Research Fellow to join our team for an exciting project focused on developing an animal identification algorithm. The project involves processing drone footage of mugger crocodiles using deep learning techniques and deploying the algorithm on Android OS mobile devices. The candidate will also work on model compression and initial deployment on Jetson devices for experimentation.


Key responsibilities



• Process and analyse video footage of mugger crocodiles captured by drones.
• Develop and implement deep learning algorithms for animal identification.
• Work on model compression techniques to optimise algorithm performance.
• Deploy the developed algorithm on Jetson devices for initial testing and experimentation.
• Develop the back-end of a mobile application for Android/iOS to deploy the animal identification AI/ML model
• Develop a responsive front-end UI of the app
• Deploy the app to the Google Play Store
• Manage and optimise GPU resources for efficient deep learning model training and inference.



If you are passionate about wildlife research and have the required skills, we encourage you to apply and contribute to this innovative project.


Refer to this link for more details


Essential Qualifications



• As per CSIR Guidelines for Research Scheme/Sponsored Schemes/ Emeritus Scientist
• BS 4 years programme/BPharm/MBBS/Integrated BS-MS/MSc/BE/BTech or equivalent degree, with 55% marks and passing of NET/GATE test



Desired Skills



• Proficiency in Python programming.
• Experience with open-source deep learning libraries (e.g., TensorFlow, PyTorch).
• Knowledge of model compression techniques.
• Familiarity with deploying algorithms on embedded devices, particularly Jetson devices.
• Experience in developing mobile applications for Android/iOS.
• Familiarity with GPU handling and optimization for deep learning tasks.



Age Limit: 28 years


Age relaxation: The upper age limit is relaxable up to 5 years in the case of candidates belonging to scheduled castes/tribes/OBC, women, and physically handicapped candidates.


Application process



• Please send in your updated CV with a cover letter to the following email by August 20, 2024.
• Professor Ratna Ghosal : ratna.ghosal@ahduni.edu.in
• Please include the following text in the subject line of your email: "JRF Application for CSIR project". The CV should include details of academic record starting from 10th standard onwards with details of year of passing, university/college, etc., as well as work experience and nature of work, if applicable. Shortlisted candidates will be informed by email about the date of the interview.