Internships:
https://mila.quebec/en/admission-process-for-interns/ (specify my name as a supervisor in the text box.)
PhD in Computer Science:
- Submit an application to MILA. I will look at this one.
- Also submit to McGill Computer Science. This is for official purposes like visa.
Specify my name as a supervisor in the applications. Deadline is December 1st for Mila and December 15th for McGill for Fall admission.
PhD in Linguistics:
- Submit an application to McGill Linguistics.
Specify my name as a supervisor in the application. Deadline is December 10th for Fall admission.
Postdocs:
Email me your CV and research interests.
Masters (by Thesis):
- If you are a CS student, you should submit an application to both Mila and McGill Computer Science.
- If you are linguistics student, submit an application at McGill Linguistics.
- No need to email me. I will look at your application material along with all other candidates.
If you don't have any experience in NLP/ML, get admission through Masters (by courses) and then do one of the NLP courses offered at McGill and then reach out to me.
Masters (by courses):
Please do not contact me. Apply either to McGill Computer Science or McGill Linguistics.
Potential Topics
These are some topics that interest me. But I am open to new ideas and topics. In fact, a major portion of your research time will be spent on finding good problems to work on (solutions will come easy if you find a good problem).
- Conversational Models, Dialogue Systems, Semantic Parsing, Question Answering
- Compositionality and Reasoning
- Language in Grounded Environments (text worlds, vision, robotics)
- Representation Learning for NLP (Attention Models, Graph Neural Networks, Transfer Learning, Meta-learning)
- Symbolic Representations for NLP (induction, Reinforcement Learning)
- Probing Deep Learning Models (Bias, Interpretability)
- NLP for Software Engineering (code search, generating comments)
- Linguistic Representations (universal dependencies, logical Forms, syntax to semantics, CCG, parsing)
- Incremental and Pyscholinguistic Models of Language
- NLP for low resource languages (Indian languages)
Some of these topics can be co-supervised with other faculty at MILA and McGill.