About the Role
The Kashmir World Foundation (KwF) is seeking a motivated intern to join our BioAcoustics Big Data and NLP Research teams. This unique role is designed for individuals who combine a strong background in avian biology, ecology, or animal behavior with skills in data science, coding, or AI analysis.
As an intern, you will act as a bridge between field biology and computational analysis, providing critical context to the datasets we collect and helping our AI/NLP teams interpret bioacoustic signals with precision. Your expertise in bird behaviors and vocalizations, combined with technical skills in data processing and machine learning, will support the development of richer models of animal communication and ecosystem monitoring.
Requirements
🔹 Responsibilities
Analyze bird vocalizations with attention to ecological and behavioral context.
Apply coding and data science techniques (Python, R, MATLAB, or similar) to process bioacoustic datasets.
Collaborate with AI/NLP researchers to refine models for classification, translation, and behavioral prediction.
Provide domain expertise in avian biology to guide AI-driven analysis.
Contribute to interdisciplinary publications, presentations, and conservation outreach.
🔹 Required Skills & Qualifications
Background in ornithology, ecology, or animal behavior.
Experience with coding and data analysis (Python, R, MATLAB, or similar).
Interest in bioacoustics, AI, and wildlife conservation.
Strong communication and collaboration skills for interdisciplinary teamwork.
🔹 Who This Internship is For
This position is ideal for students or early-career researchers who are eager to merge biological expertise with data science, contribute to cutting-edge conservation research, and gain hands-on experience in bioacoustics, AI, and ecosystem monitoring.