Applications are invited for doing research projects in Deep Learning / Natural Language Processing / Reinforcement Learning.

Research Associate

Minimum qualifications:

1.   About to graduate / Graduated with M.Tech/M.S in Computer Science/Electrical Engg./Electronics Engg. or equivalent
2.   Completed coursework involving Linear Algebra, Probability and Pattern Recognition / Machine Learning
3.   Proficient in programming in Python and its deep learning packages Pytorch, Tensorflow, etc.
4.   Previously worked on NLP/Deep Learning/Reinforcement Learning or related projects.
5.   For NLP-related projects, familiarity with basic NLP, RNNs, Transformers and LLMs is expected.

Research Assistant

Minimum qualifications:

1.   About to graduate / Graduated with B.Tech/B.S/M.Sc in Computer Science/Electrical Engg./Electronics Engg./Data Science/AI or equivalent
2.   Completed coursework involving Linear Algebra, Probability and Pattern Recognition / Machine Learning
3.   Proficient in programming in Python and its deep learning packages Pytorch, Tensorflow, etc.
4.   Candidates who have previously worked on NLP/Deep Learning/Reinforcement Learning projects will be given priority.
5.   For NLP-related projects, familiarity with basic NLP, RNNs, Transformers and LLMs is expected.

Candidates are expected to be quick learners, willing to take initiative in driving projects and expected to work towards paper submissions to top-tier conferences.

Salary: A consolidated salary depending on qualification and experience.

Interested candidates can apply here. [Shortlisted candidates will be asked to do a deep learning assignment at a specific time and needs to submit the code and report for evaluation.]