Global Residency Program

2019 Spring NAVER Clova AI Research Global Residency Program

Deep learning and AI technologies have already made their way into our daily lives. They understand our language; recommend music; suggest and summarize news; tell us about a random flower we photographed; translate menus and signs in foreign languages; enable us to read documents and publications in other languages with much greater ease. These technologies will continue to permeate further and deeper into our lives, transforming all aspects of our world. With the dawn of this new era, being able to conduct research and develop these deep learning and AI technologies is essential for anyone looking to truly understand what this exciting new future can bring. However, as challenging as these innovations are, we believe that people with a solid background in basic mathematics and programming can learn these technologies at a high level in just six months to a year. In fact, in that amount of time, it is possible to learn enough to start creating new models and algorithms. It is possible to learn at this level — however, it requires a researcher being willing to commit fully for a minimum of six months.

The NAVER Clova AI Research Residency Program is designed to develop motivated talent, providing a six-month, all-in-one environment for carrying out research and development on deep learning and AI. Participants will be given a research setting in which they can concentrate solely on research into deep learning and AI technologies, backed by a diverse array of real-world data and abundant GPUs, together with guidance from a team of experienced Clova AI Research research engineers and some of the most renowned researchers in the field, including Prof. KyungHyun Cho (NYU), Dr. Jun-Yan Zhu (MIT, 1st author of CycleGAN), and Prof. Hannaneh Hajishirzi (UW). Graduates of this program will be able to develop these cutting-edge technologies that are being applied directly to a whole range of next-generation services, shaping the experiences of hundreds of millions of NAVER and LINE users worldwide. Through the participation of enthusiastic, creative people like you, we hope to usher in the birth of an amazing new era of deep-learning and AI technologies.

Program Overview

  • Duration: January 1, 2019 – June 30, 2019 (6 months) *exact dates negotiable
  • Location: Clova AI Research Team, NAVER Green Factory, Seongnam, South Korea
  • Application submission: clair-reg@navercorp.com
  • Deadline: 15 Nov 2018 11:59 p.m. (AOE)
  • * Interviews will be arranged on a first-come-first-served basis
  • Interview schedule: From 15 Sep 2018 (interview process may vary depending on schedule and circumstances)

What the Clova AI Research Residency Offers

  • A six-month contract position as a member of the Clova AI Research Team, based at NAVER Green Factory
  • Mentoring by Clova AI Research team members and renowned researchers, including Prof. Kyung Hyun Cho (NYU), Dr. Jun-Yan Zhu (MIT, author of CycleGAN), and Prof. Hannaneh Hajishirzi (UW)
  • Competitive salary (equivalent to that of a full-time NAVER employee)
  • Access to NAVER data and research
  • Access to GPU cloud resources via platforms like NSML (refer to https://deview.kr/2017/schedule/186)

Eligibility

  • Bachelor’s degree or higher in Computer Science, Electronics, or Mathematics (people expecting to graduate before 2020 are also eligible)
  • Basic knowledge of and programming ability in probability, information theory, and linear algebra
  • Ability to understand and implement practice problems from Deep Learning Lessons
  • (see https://hunkim.github.io/ml/http://bit.ly/PyTorchZeroAll)
  • Ability to implement recent publications (2016 ~ 2018) related to deep learning/AI
  • English communication skills (reading, writing, speaking)
  • Experience in research/development activities, and publication of papers related to machine learning
  • Awards related to programing and/or mathematics

How to Apply (in English): submit a brief resume along with the following information, all as a single PDF file

  • Introduction to projects you have participated in, and your github information
  • Names and contacts of two or more referees (academic advisor, the supervisor from the previous workplace, etc.) who can write a recommendation letter
  • Description of why you should be selected for the program (maximum one page)
  • Outline of the project that you wish to carry out (maximum one page, focusing on problem definition and data description)
  • Other experiences and achievements that demonstrate your strengths