Research Internship on AI-Driven Smart Grid Optimization

Field of Internship

Computer Science Engineering

Research Area of Internship

Artificial intelligence and Machine learning

About Internship

Associate Professor, Department of Computer Science Engineering, from Jawaharlal Nehru Technological University, Kakinada (JNTU Kakinada), is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

We are looking for passionate research interns to work on intelligent control and optimization techniques for renewable energy systems, especially wind and solar integrated smart grids. The work involves developing models using fuzzy logic, ANFIS, and machine learning to improve grid stability, reduce energy losses, and manage load distribution efficiently. Interns will support simulation modeling (MATLAB/Simulink or Python), dataset creation, literature review, and drafting publications or technical reports. The internship will offer exposure to real-world energy challenges and interdisciplinary research, with potential for publication and extended collaboration.

Share Internship

Desired Skills/Techniques

Data Analysis, Maths and Stats, Git/Github, Data Structures,

Who is eligible?

Bachelors/Masters

Mode of the Internship

Virtual

Open Positions

The number of interns being selected is flexible and dependent on the quality of applications for this Internship.

Internship Duration

2 Months

Paid/Unpaid

UnPaid

Application opens on

Available round the
year

Application Deadline

Available round the
year

Starting date of Internship

Available round the
year

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