Students at Stony Brook University
Ph.D. (Computer Science or Data Science)
If you are a current Ph.D. student in the Department of Computer Science, have a strong background in mathematics (and/or statistics) and programming (mainly in Python, and particularly in the use of modern machine learning libraries like PyTorch, TensorFlow, or Keras), feel free to contact Banerjee via email about potential opportunities within his research group. Ph.D. students are expected to have the ability to formulate a research problem that they want to pursue. Please be prepared to start your journey by presenting a convincing proposal for your research.
M.S. (Computer Science or Data Science)
Banerjee's research group is not currently considering M.S. applications.
B.S. (Computer Science, Mathematics, or Linguistics)
Research opportunities for undergraduate students exist in the form of CSE 487, or CSE/HON/WSE 495/496. Outstanding performance in coursework relevant to machine learning is a prerequisite ‒ ideally in machine learning, CSE 353 and/or natural language processing, CSE 354. At the end of the project/thesis, the goal is that your work should be deemed publishable at a peer-reviewed research conference or workshop. If you have made significant contribution, you will be a co-author in the published work (subject to acceptance at a reputable venue).
If you are a current undergraduate student of computer science other disciplines closely related to natural language processing, and the thought of venturing into intellectually unknown territory excites you, reach out by filling this form.
