IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-A1502-JC

Students Requirements

General discipline

Computer Science / Informatics
Electrical Engineering
Electronics Engineering

Completed Years of Study

1

Fields of Study

Languages

English Good (B1, B2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

8 - 10 Weeks

Within These Dates

25.01.2025 - 30.09.2025

Holidays

NONE

Work Environment

-

Gross pay

15000 INR / month

Working Hours

35.0 per week / 7.0 per day

Living Lodging

Type of Accommoditation

IAESTE

Cost of lodging

-

Cost of living

10000 INR / month

Work Offered

Additional Info

Work description

Project Title: Machine Learning for Solar Image Processing and Magnetic Field AnalysisAim:This project leverages machine learning to process solar images and predict the impact of magnetic variations on space weather.Responsibilities:1. Collect datasets from solar observatories, focusing on Solar Dynamics Observatory (SDO) images across multiple wavelengths.2. Enhance image quality through noise reduction, enhancement, and alignment.3. Utilize convolutional neural networks (CNNs) to identify features in solar images, such as sunspots and solar flares.4. Train models to recognize patterns in magnetic field strengths and orientations, improving magnetography accuracy.5. Implement recurrent neural networks (RNNs) or LSTMs to analyze sequences of images and detect magnetic field dynamics over time.6. Develop AI models to predict future solar magnetic activity based on historical data.7. Create visualizations of magnetic field maps to support result interpretation in solar research.Outcomes:1. Improved understanding of solar magnetic dynamics and their effects on space weather.2. Enhanced predictive accuracy for solar flares and coronal mass ejections.3. Robust methodologies for solar image processing that advance solar physics research.4. Generative visual outputs to aid analysis and decision-making.5. Deeper insights into solar dynamics, enhancing space weather forecasting.

Deadline

30.04.2025