IPTSE Winter School

Carnegie Mellon UniversityThe IPTSE Winter School now in its 6th year, draws on a selection of broad areas that at times has included machine learning, data mining, human-computer interaction, speech and language technologies, and audio, image, and multimedia analysis. The goal is to create an international bridge between institutions of higher learning in India and Carnegie Mellon University, which is at the forefront of research both in technology and in the learning sciences in the US, and even worldwide. The best part is that few successful participants of this winter school are invited to apply for summer internships at Carnegie Mellon University.

Who can apply: Undergraduate BE/B.Tech students can apply for this IPTSE winter school. Preference is given to pre-final year students but some second year students were also selected last year.

Tracks: This year they will have 3 tracks which you can work on and you will have to choose 2 tracks of your choice, one primary and second one that is secondary. And you will work on only one track.

The tracks for this year are: Multimedia Analysis, Neural Networks for Data Analysis and Computational Models in Civic Problems. More details on these tracks can be checked here.

Stages: The internship program is composed of two stages. In the first stage, students apply to participate in a two-week winter school in early December in India. During these two weeks, students will attend lectures that will cover research and research methodologies, tools and techniques, insights about theory and practice, and a broad overview of the field of technology-supported education. Students will participate in team projects, which will be presented in demo sessions at the end of the winter school. Students who successfully complete the winter school will be invited to apply for research internships at Carnegie Mellon University. Successful applicants for stage two will be matched with internship advisors for a summer internship at Carnegie Mellon University’s main campus in Pittsburgh, USA, for the summer. Some financial support for the summer internship may be available.

Location: NITK, Surathkal

Duration: 2 weeks (Decemer 10-24, 2014)

Financials: You are required to pay for transportation and living expenses during the winter school. Estimated total cost is Rs. 5000.

For more details on this winter school, visit IPTSE Winter School’s website.

Application Procedure: You are requested to select a primary and a secondary track (Multimedia Analysis, Neural Networks for Data Analysis and Computational Models in Civic Problems). And you can work on only one track.

Fill this application form and email two letters of recommendation to cmu.mlsp@cs.cmu.edu no later than October 15, 2014.

Internship stories: 1) An IIT Kharagpur student shares his IPTSE Winter School experience

2) A VIT Vellore student who went for a summer internship at the Carnegie Mellon University after attending this winter school.

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