皇家理工学院

Algorithms & architectures for high-performance ML

项目介绍

School of Electrical Engineering and Computer Science at KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

Third-cycle subject: Electrical Engineering

This research project aims at developing the principles behind the next generation of computing systems optimized for modern data-intensive workloads. We believe that these systems will make a disruptive departure from the classic Von Neumann architecture, with its decoupling of memory and computing, and embrace the principle of processing-near-memory. Put simply, data will no longer be shuffled between congested computing units for processing, but computing will be carried out where the data resides, effectively short-cutting the main limitations of current hardware systems. In this Ph.D. project, we will explore how ML algorithms and computer architectures can be enhanced and radically re-designed for unprecedented efficiency and scalability.

The Ph.D. position is part of a WASP “Twinning project”. This particular position is hosted by Prof. Mikael Johansson’s research group at KTH, and a complementary position is hosted by Prof. Per Stenström’s computer architecture group at Chalmers University. Together, the two Ph.D. students will take a holistic view of algorithm-architecture co-design and explore radically new computing architectures and algorithms, optimized for ML.

Supervision: The doctoral student will be supervised by Professor Mikael Johansson

What we offer

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master’s degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

We are looking for candidates with strong knowledge in applied mathematics and computer science. Experience from algorithm development for machine learning is desired. You need a strong academic track record, be analytical and independent, and have a passion for research and problem-solving.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ‘ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

You will find contact information for union representatives on KTH’s website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section’s website.

Application

Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

录取要求

  • We are looking for candidates with strong knowledge in applied mathematics and computer science.
  • You need a strong academic track record, be analytical and independent, and have a passion for research and problem-solving.

申请亮点

  • Experience from algorithm development for machine learning is desired.

项目概览

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截止日期 2021-09-29
皇家理工学院

院校简介

皇家理工学院是位于瑞典首都斯德哥尔摩的欧洲顶尖的理工大学,世界百强名校之一。
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联系方式

电话: +46 8 790 60 00

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