2020年インターンシップ募集

(2020年06月02日 更新)

募集中断のお知らせ

現在COVID-19の影響で2020年の受付を中断しています。

[重要] 2020年インターンシップの運用について

  • 東京オリンピック・パラリンピックのため、イベント開催月(7月、8月、9月)は宿泊が必要になる方を受け入れることができません
  • インターン開始月はインタビュー等で個別に調整します
  • インターンの応募は随時受け付けますが、受け入れ手続きの都合上、開始希望月のおよそ5~6ヶ月前(インタビューと採否通知に1~2ヶ月、宿泊施設および入国のための書類の手配などに4ヶ月)を目処に応募ください
  • 入国手続きが不要な場合でも3ヶ月前までに応募ください

背景

IIJイノベーションインスティテュート (IIJ-II) 技術研究所はインターネットにおける最先端の研究と技術開発をおこなっています。これまで、研究所はWIDEプロジェクトと密接に協力しながら、IPv6の標準化作業とBSDオペレーティングシステムでの実装(KAMEプロジェクト)に注力してきました。また、WIDEプロジェクトのMAWI WGと協力しながら国際的なインターネットトラフィック計測に関する研究開発を主導しています。近年では、インターネットバックボーンの経路制御情報を安全にやりとりするための技術開発、エコロジカルなデータセンターを実現するための技術やクラウド技術などにも取り組んでいます。

研究所では我々と研究開発活動をおこない、一緒に研究プロジェクトを前進させていただける、やる気のあるインターンを募集しています。インターンシッププログラムに参加することで、高品質な研究開発活動を経験し、最先端の研究者との交流の機会を持ち、また同じ志を持つ他のインターンとの議論を通して、将来の研究活動の大きな糧を得ることが期待されます。

目次

報酬と労働条件

IIJイノベーションインスティテュートは、インターネットにフォーカスした他では得難い研究開発活動の経験に加え、能力に準じた給与と快適な研究開発環境を提供します。

  • 給与: 25万円/月 (各種経費、税金が差し引かれます)
  • 旅費交通費: 支給
  • 勤務地: 東京 (飯田橋オフィス)
  • 期間: 1ヶ月あるいは2ヶ月(勤務開始日は月初)
    • 学校の休暇期間に応じて開始月を移動できます
    • オリンピック・パラリンピック開催月(7月、8月、9月)は受け入れできません
  • 宿泊費: 遠方の方には宿泊設備を準備
  • 保険: 労災保険 (移動および勤務時間外の保険は含まれませんので、旅行保険などに加入されることを強く推奨します)

応募に関する情報

  • インターン期間中に国内外の大学に在学している修士課程以上の学生が対象です。その他必要な条件については、各プロジェクト案内をご参照ください。
  • IIJイノベーションインスティテュート 技術研究所でインターンとして1ヶ月あるいは2ヶ月間、研究開発活動に従事していただきます。
  • インターンに応募される場合は、以下の書類をinternship@iij.ad.jpまでお送りください。
    • ・履歴書 (あるいはCV)
    • ・ポジションペーパー
    • ・応募したいプロジェクト
    また、以下のものが用意できれば一緒にお送りください。
    • ・推薦状
    • ・代表的な発表論文を数本
    別途面接 (Polycom、Skypeなどによる遠隔面接可) を実施した後に、採否をご連絡いたします。
  • 随時応募を受け付けますが、2020年は東京オリンピック・パラリンピックのため、イベント開催月(7月、8月、9月)は宿泊設備が必要な方を受け入れることができません。インターン開始月についてはインタビューにて個別に調整します。受け入れ手続きの都合上、開始希望月のおよそ半年前(インタビューと採否通知に1~2ヶ月、宿泊施設および入国のための書類の手配などに4ヶ月)を目処に応募ください。入国手続きが不要な場合でも3ヶ月前までに応募ください。
  • ご質問のある方はinternship@iij.ad.jpまでご連絡ください。

インターンを募集しているプロジェクト

Traffic Measurement and Data Analysis

Objectives

It is essential for IIJ to understand recent trends in customer traffic.

We will provide an internship student an opportunity to work on a small measurement project, possibly using real-world datasets from IIJ's services, in order to provide practical feedback to IIJ's services.

Possible topics are:

  • development of traffic visualization tools (e.g., for multi-dimensional traffic time-series or for video streaming quality)
  • development of algorithms to provide compact summary information of large-scale traffic data
  • development of tools to collect and analyze behaviors of HTTP video streaming clients (e.g., MPEG-DASH implementations)
  • analysis of video streaming traffic behaviors (e.g., differences in video segment fetching strategies)
  • analysis of cyber threats in traffic datasets (e.g., identifying certain types of threats)
  • development of monitoring tools for large-scale measurement platforms (e.g. detect outages or identify physical topology from traceroute datasets)
  • the mining of big data, such as the detection and correlation of control and data plane events

Qualifications

We are looking for a graduate student for a two-month-long full-time internship. Candidates should have good skills in computer networking, UNIX systems, and programming as well as oral and written communication skills in English.

For data analysis, skills in machine learning techniques and knowledge of statistics are also required.

To complete a project in two months, a candidate should have substantial experiences in the selected research topic.

Host Researcher

Library Operating System

With the name of specialization, various academic and open source projects invented different shape of network stacks and operating systems. While the specializations avoiding generalization tax solve specific problems of network stack, those are often coupled with the downgraded features due to the specializations, which are hard to recover because the feature richness usually comes with the incremental growth of operating systems.

As a result, there are still serious problems of conventional network stack and library operating systems (or userspace network stacks):

  • network stack ossification (hard to introduce new features), lack of personality
  • lack of generality, resulting no legacy application support
  • simply waste of time (if it is implemented from scratch)

The primary goal of this project is 1) to alleviate the current issue of network stacks, and 2) to retain the feature-richness of the current operating systems by morphing a monolithic kernel into an anykernel implementation (a.k.a. library operating system). The concept of library operating system is not new but it is emerging to address current issues on operating system and network stack.

The objective of this project is to design and develop an implementation of library operating system, Linux Kernel Library (or LKL), to solve aforementioned issues of current operating system.

Possible topics (but not limited to) are:

  • supporting general applications with feature-rich network stack
  • benchmark studies with the implemented software to understand the bottlenecks (incl. comparison with alternatives)
  • container runtime integration
  • fast data plane for virtual network functions with LKL

Qualifications

We are looking for graduate students who have the following knowledge and skills.

  • Knowledge of computer science and networking technology (or equivalent)
  • Skills of system programmings in C
  • Knowledge and/or experience of Linux kernel development
  • Knowledge and/or experience of network performance benchmarks

Host Researcher

SDN IXP Switching Fabric

Objectives

The objective of the internship is to provide interns with opportunities to develop, and enhance Internet eXchange switching Fabric with SDN OpenFlow.

Among the possible topics are

  • Developing management tools for SDN Internet eXchange
  • SDN Internet eXchange scalability measurement and development
  • OpenFlow hardware evaluations
  • Study SDN solution for ensuring IXPs operation

The intern will receive support and feedback from IIJ Research Laboratory and a range of external research collaborators along the way.

Qualifications

We are looking for a graduate student in Computer Science or Electrical Engineering to complete a two month full-time internship. Candidates should be competent in computer networking, UNIX systems, Python programming and Software Defined Networking concept. Knowledge of OpenFlow, FAUCET controller and IP routing protocols BGP would be a plus. In addition to the above, candidates should have strong practical and problem-solving skills, the ability to independently produce high quality work, and good English oral and written communication skills.

Host Researchers

Internet Health Report

Objectives

The Internet Health Report (IHR) leverages data collected by large measurement platforms (e.g. RIPE Atlas, RIS, and RouteViews) to automatically pinpoint connectivity issues in remote networks (https://ihr.iijlab.net/). IHR is looking for talented students and skilled programmers to develop new analysis tools and improve the usability of existing tools. This is a great opportunity for students to work with our large datasets and develop practical and open source tools for network operators, researchers, and Internet users.

Possible topics include:

  • Analysis or applications of IHR results
  • Development of monitoring tools for large-scale measurement platforms (e.g. identify physical topology from traceroutes)
  • Front-end development: Visualization of IHR results (experience in Javascript required)
  • Back-end development: Near-real time data analysis (experience in python required)

Qualifications

We are looking for students for a two-month-long full-time internship. Candidates should have good programming skills (Python or Javascript), and experience with data analysis tools, knowledge in computer networking is also required. Candidate should have good oral and written communication skills in English.

Host Researcher

先輩からのメッセージ

Arun Dunna (2019年)

I thoroughly enjoyed my time at IIJII, and the process was enjoyable from the initial application through the end of the internship. After I applied, I had an engaging video interview with some team members, and we discussed my prior work and potential projects at IIJII. Throughout the whole process, IIJII made it a point to ensure that I would be working on a project that I took interest in, which could be changed even upon arrival. Kitamura-san made the typical nightmare of logistics a breeze, and promptly answered any questions I had not just about the internship, but about life in Tokyo.

Upon arrival in Tokyo, I was greeted by the lab and given time to get acclimated to Japan. The lab's atmosphere was both welcoming and engaging, and everyone in the lab made regular efforts to discuss my project and provide input/guidance if needed. The locations of the office and provided housing were phenomenal, and Kitamura-san explained how to use the public transport to get around the city.

Daily life in Japan itself was great, and I highly recommend it to expand world viewpoints, which is another benefit to the internship. As an intern, I was required to be in the lab for a set time range each day, but a generous lunch slot was included and the lab provided a quiet yet collaborative space to work. My advisors (Romain and Zach) were at the lab nearly every moment that I was, and were hands-on throughout the whole internship, including regular meetings, online and in-person discussions, and collaborative brainstorming. All lab members were incredibly knowledgeable and were happy to answer any questions that I had, or to provide input when requested.

Overall, IIJII made a daunting internship in a foreign culture an enjoyable breeze. I made sustainable professional connections and produced quality research work as a part of their team. I highly recommend applying to the internship - it has been one of the best decisions of my academic career. I still continue to collaborate with the IIJII group even months after the internship on a number of projects.

過去のプログラム参加メンバー

2019年

  • Arun Dunna, University of Massachusetts, アメリカ
  • Aniketh Girish, Amrita University、インド
  • Christoff Visser, The University of Waikato, ニュージーランド
  • Talha Javed, National University of Science and Technology, パキスタン
  • Federico Mulas, University of Pisa, イタリア
  • Bénoît Nougnanke, Universite Toulouse Paul Sabatier, フランス

2018年

  • Andreas Guillot, University of Strasbourg, フランス
  • Shinyoung Cho, Stony Brook University, アメリカ
  • Francois Michel, Universite Catholique de Louvain, フランス

2017年

  • Cristina Georgiana Opriceana, Polytechnic University of Bucharest, ルーマニア
  • Marc Anthony Warrior, Northwestern University, アメリカ
  • Simone Ferlin, University of Oslo / Simula, ノルウェー
  • Hoang Tran, Université catholique de Louvain, ベルギー

2016年

  • Anant Shah, Colorado State University, アメリカ
  • Argrios Tasiopoulos, University College London, イギリス
  • Julien Gamba, University of Strasbourg, フランス
  • Răzvan Certezeanu, Imperial College London, イギリス
  • Stefano Tracà, Massachusetts Insitute of Technology, アメリカ

2015年

  • Alessandro Puccetti, University of Pisa, イタリア
  • Daniel Gröber, Leopold-Franzens-Universität Innsbruck, オーストリア
  • Lachlan Kang, The University of Adelaide, オーストラリア
  • Mijung Kim, Stony Brook, 韓国
  • 金津 穂, 大阪大学, 日本
  • 高際 兼一, 慶應義塾大学, 日本

2014年

  • Daniele Iamartino, Politecnico di Milano, イタリア
  • Gaëtan Briot, Université catholique de Louvain, ベルギー
  • Tao Peng, University of Trento, イタリア
  • Thomas Holterbach, University of Strasbourg, フランス

2013年

  • David Hauweele, Université de Mons, ベルギー
  • Yaser Jararweh, Jordan University of Science and Technology, ヨルダン
  • Hyoyoung Lim, 名古屋大学, 日本
  • Doudou Fall, 奈良先端科学技術大学院大学, 日本

2012年

  • Andra Lutu, University Carlos III Madrid, スペイン
  • David Lebrun, Université catholique de Louvain, ベルギー
  • Julien Beaudaux, University of Strasbourg, フランス
  • Nam Dang, 東京工業大学, 日本
  • Zachary Bischof, Northwestern University, アメリカ
  • 長谷川 皓一, 名古屋大学, 日本

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