Intern Under
Assistant Professor

Computer Science Engineering

Indian Institute of Technology - Indian School of Mines, Dhanbad (IIT-ISM Dhanbad)

Basics of NLP / ML / QML in Engineering Research Mate Internship

Field of Internship

Computer Science

Research Area of Internship

Quantum Machine Learning

About Internship

Assistant Professor from Indian Institute of Technology - Indian School of Mines, Dhanbad (IIT-ISM Dhanbad), is accepting interns interested in the field of Computer Science, in the research area of Quantum Machine Learning.

Quantum machine learning (QML) is an emerging interdisciplinary field that combines quantum computing and classical machine learning. This internship focuses on exposure to QML concepts within the context of industrial engineering and computational research. The internship relates to common knowledge areas associated with QML, including linear algebra and probability, machine learning and deep learning, algorithms and optimisation, and programming using tools such as Python and quantum frameworks (Qiskit, Cirq, PennyLane). Not all of these skills are required, and curiosity and interest in the field are considered more important. Interns will gain exposure to interdisciplinary concepts related to quantum machine learning and its connection to machine learning and computational methods.

Desired Skills/Techniques

Python,

Who is eligible?

High-schoolers, 12th pass-outs, gap year and diploma students.

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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