皇家理工学院

Machine learning and computational neuroscience

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: Computer science

We are looking for two highly qualified and motivated individuals to pursue a Ph.D. at the intersection of machine learning and computational neuroscience to develop brain-machine interface solutions. The prospective Ph.D. students will join a research team at the Division of Robotics, Perception, and Learning (RPL) led by Professor Danica Kragic and Dr. Ali Ghadirzadeh. The project involves the development of state-of-the-art machine learning techniques to analyze Electroencephalography (EEG) and other biometric data to develop brain-machine interface tools for applications such as human-robot interaction. This goal lies at the intersection of several disciplines, including machine learning, computer vision, human-machine interaction, psychology, and computational neuroscience. The Ph.D. studies will include the analysis, design, and implementation of algorithms, and potentially enhancing existing human-robot interaction solutions.

Supervision: The doctoral students will be supervised by Professor Danica Kragic. 

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
  • analyze and work with complex issues.

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

Successful applicants should have a strong background in programming, deep learning, and
neuroscience. Applicants are required to have strong algorithmic design and implementation skills and experience with managing large-scale data. Experiences with robotics and computer vision are counted as pluses. Doctoral students are expected to be able to publish high-quality papers and develop research prototypes.

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as doctoral students. 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 the 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/central 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

  • Successful applicants should have a strong background in programming, deep learning, and neuroscience.
  • Applicants are required to have strong algorithmic design and implementation skills and experience with managing large-scale data.
  • Doctoral students are expected to be able to publish high-quality papers and develop research prototypes.

申请亮点

  • Experiences with robotics and computer vision are counted as pluses.

项目概览

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截止日期 2021-09-30
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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