About IIT Kharagpur
IIT Kharagpur is a 3rd best public technical university in Kharagpur, India which is established in 1951 by the Indian Government.
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Table of contents:
- About IIT Kharagpur
- About Internship Opportunity
- Eligibility Criteria
- What are the benefits of doing these internships?
- What are the projects available for the internship?
- How to apply?
About Internship Opportunity
Everyone knows that the perfect way to enhance your skills is an internship so there is good news for skill enhancers that IIT Kharagpur’s NSM Nodal Centre for Training in HPC and AI is by sponsoring a few internships in association with IIT faculty members.
As per the mutual agreement of the student interns & faculty mentors, internships will be for two months duration between May to July.
The internship’s mode will be decided mutually by the student and the mentor whether it is offline or online. This is a project-based internship.
Eligibility Criteria
- Students who are doing B.E/B.Tech degree or any other type of specialization.
- Students who are available for 2 months.
- Students who have related skills and interests.
What are the benefits of doing these internships?
- There is a stipend of INR 8000 per month from the NSM Nodal Centre if approved by the mentor faculty.
- You will get an internship certificate after the successful completion of the internship.
- A great opportunity as top IIT faculty will teach us in these internship.
What are the projects available for the internship?
Project ID | Topic | Faculty |
P1 | 1. Parallelizing protein-protein docking algorithm in OpenMP. 2. Parallelizing protein-protein docking algorithm in CUDA. (Knowledge of CUDA is required) | Pralay Mitra (IIT Kharagpur), |
P2 | Application of High-Performance Computing on Complex Biomolecular Systems | Sanjoy Bandyopadhyay (IIT Kharagpur) |
P3 | Developing Peak Memory Shaving heuristics for GPGPU systems | Soumyajit Dey (IIT Kharagpur) |
P4 | Kinetic Networks of Ligand Migration in Protein Matrix | Sabyasachi Mishra (IIT Kharagpur) |
P5 | 1. Quantum Machine Learning 2. Deep Learning Algorithms for Solving Partial Differential Equations 3. Machine Learning Algorithms for Cyclone Track Prediction | Pabitra Mitra (IIT Kharagpur) |
P6 | 1. Direct Numerical Simulation of Turbulent flow using GPU optimized CFD solver. 2. Physics-aware machine learning for Computational Mechanics problems. | Somnath Roy (IIT Kharagpur) |
P7 | 1. Physics informed neural networks for partial differential equations 2. Machine learning methods for planetary-scale flows. | Raja Lakkaraju(IIT Kharagpur) |
How to apply?
To apply click here
For official IIT Kharagpur Internship notification Click Here
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