Â鶹´«Ã½AV

The school will be held June 6-9, 2017 at Georgia Tech

The Â鶹´«Ã½AV Information Theory Society wishes to remind members of the deadline for petitions to add candidates to the ballot for the upcoming Â鶹´«Ã½AV elections.

The paper "List Decoding of Polar Codes" Â鶹´«Ã½AV Transactions on Information Theory, Vol. 61, No. 5, pp 2213 – 2226, May 2015 by Ido Tal and Alexander Vardy has been awarded the 2017 Â鶹´«Ã½AV Communications Society and Information Theory Society Joint Paper Award for 2017.

ISIT 2017 Early Bird Registration Ends May 2

Registration for the 2017 North-American School of Information Theory is now open!

Call for papers for Special issue in Entropy on "Information Decomposition of Target Effects from Multi-Source Interactions", submissions due May 31, 2017.

The April 2017 issue of the Â鶹´«Ã½AV Transactions on Information Theory is available online. In the future we will be posting links to the the articles in issues as they come out.

The Â鶹´«Ã½AV Information Theory Society is looking for volunteers to help define and create 3 short educational videos. Deadlines for proposals are May 15 and July 15, 2017.

Funding available to support students participating in ISIT 2017. Apply before April 16th!

Early registration deadline has been extended. Registration for the 2017 European School of Information Theory at an advanced rate can be done before April 7, 2017.

3 Postdoctoral Research Associate Positions in Telecommunications at the University of Sydney, Australia

Huawei Paris is looking for candidates for permanent junior and senior research positions in channel coding and lattice coding for wireless and optical communications.

ITSOC wishes to encourage Society members to consider the petitions for write-in candidates for the Â鶹´«Ã½AV Election.

A post-doctoral research position is now available in the Department of Informatics at King's College London. The post is funded by the European Research Council (ERC) for a project on fog-aided wireless networks. The successful candidate should have a PhD in Computer Science or Electrical Engineering with expertise in information theory and ideally also in machine learning.