OPPORTUNITIES WITH SLS

• Undergraduate
• Graduate
• Postgraduate

Undergraduate Research Opportunities

MIT students can participate in the Undergraduate Research Opportunities Program (UROP), undertaking an academic research project in collaboration with faculty and research staff. A UROP project can be done for credit or wages. UROPs are required to produce a written proposal before starting their project and reports written by both student and supervisor must be submitted at the end of each term. The SLS Group usually accepts new UROP students in the late spring for a full time project over the summer, leading to a part time (5-10 hours per week) project during the academic year.

Our approach to interactive problem solving by spoken input is to seek a good understanding of human communication through spoken language, to capture the essential features of the process in appropriate models, and to develop the necessary computational framework to make use of these models for machine understanding. It is our belief that the development of advanced human/machine communication systems will require expertise in signal processing, system theory, pattern recognition, and computer science, built on a solid understanding of speech science and linguistics.

Historically, UROP students have played a significant role in all aspects of our research. If you are interested in a UROP position or would like additional information, please contact:

Marcia Davidson
32-G434
617 253-3049
marcia@csail.mit.edu

To apply for a UROP position, please download and fill out our questionnaire (PDF) and return it to Marcia Davidson in room 32-G434.

Graduate Student Opportunities

If you are applying to the MIT EECS graduate program, then please read the following admissions instructions and contact the EECS graduate office with any additional questions. Once you have been admitted to MIT for graduate studies, please contact James Glass regarding opportunities to join SLS.

Postdoctoral Associate Opportunities

Opportunities exist for postdoctoral positions in SLS pertaining to spoken and natural language processing. Candidates with a Ph.D. in Computer Science or equivalent with experience and interest in speech and NLP research are welcome to apply. Please contact James Glass if interested.