Intel 0x7E3 Summer Internship is waiting for its students

According to an old tradition, for many years in a row, the Intel office in Nizhny Novgorod has been holding summer internship for students and graduate students of Russian universities. In July-August of this year, another group of lucky people will have the opportunity not only to listen to lectures by the coolest Intel developers, but also to join real projects of the company, to contribute to the development of its products.

In total, this year students are offered more than 30 tasks in various directions to choose from. At the same time, a series of special lectures, trainings and seminars will be held by leading scientists from various scientific schools and trends, professors from Russian universities and leading employees of Intel.

The following categories of citizens are accepted to the summer school:

• 2nd year students and older
• undergraduates and graduate students,
• graduates of Russian universities in 2016-18.

Citizenship of the Russian Federation is required.

During the internship, a monetary reward is paid, Intel pays for the travel and accommodation of nonresident students, each is provided with a workplace and means of production. The best students who successfully complete an internship under this program will have a priority opportunity to work for Intel during their studies as interns and after graduation as full-time employees.

In order to get to the Intel Summer Internship 2019, you must until May 4 inclusive fill out a form for academic project website. You must first familiarize yourself with task listproposed for the solution this year, choose the most suitable one for yourself and think it over. May 5 to June 3 a competitive selection of applicants is carried out, including, if necessary, an additional interview or questions. The final lists of internship participants will be compiled until 4 June.

In conclusion, let's give as an example a few tasks from the list - this year they are more interesting than ever.

• Finding Efficient Methods for Compressing Convolutional Neural Networks
• Using Intel RealSense Cameras in Real-Time Systems for Industrial Automation
• Development of an algorithm using deep learning to solve practical problems
• Improvement of QR code detection algorithms
• Optimizing the Machine Learning Algorithm for the GPU

These and many other tasks you will be able to take part in the Intel summer internship - under the guidance of experienced, friendly mentors, in a creative environment and with undeniable benefits for yourself. We are waiting for you to visit our cozy white and blue office.

Source: habr.com