Doctoral student in Learning of Dynamical Systems - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Electrical Engineering

The rapid development in machine learning has led to spectacular results in a number of computer applications. An important reason for this is the rich availability of training data in these applications needed to train the algorithms. These successes have led researchers to study the possibilities for machine learning in a range of engineering areas such as robotics, smart buildings and self-driving cars. These are examples of highly complex dynamic systems where access to data is limited and where security aspects are important. In order to achieve safe and reliable cyber-physical systems, it is necessary to include physical knowledge in the learning phase of the algorithms . In particular, in many applications it is possible to actively control the system so that as informative data as possible can be extracted.

In this project we focus on  the fundamental aspects of learning algorithms for decision and control of dynamical systems. The field of research lies in the interface between electrical and computer engineering and computer science and includes  systems and control, signal processing , mathematical statistics and machine learning. Computational aspects are also of great importance since many applications and optimization based algorithms are computer-intensive.

The project is part of the network of excellence, NewLEADS, which is funded by the Swedish Research Council and consists of 7 senior researchers from KTH and Uppsala University as well as postdoctoral and doctoral students. As a doctoral student in this research environment, you will be co-supervised by researchers from both universities, having the opportunity to attend international research meetings, as well as attending international conferences and other activities that can extend your professional network and benefit your future career. Within the project, there will be good opportunities to interact with Wallenberg AI, Autonomous Systems and Software Program (WASP, http://wasp-sweden.org).

What we offer

• The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
• Life-long network through KTH's Alumni organization.
• A personal study plan to support your development within your areas of interest.
• A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement.
• Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
• Help to relocate and get settled in Sweden and at KTH.
• At the Department of Automatic Control we offer a creative environment with 10 professors (3 IEEE Fellows), 20 postdoctoral students and 50 PhD students. The Control and Automation area at KTH is ranked 15 in the Shanghai Academic Ranking of World Universities and is thus KTH's highest ranked area.

Eligibility

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 degree at advanced level,
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
• in any other way acquired within or outside the country acquired essentially equivalent knowledge.

Selection

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

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

At the time of admission, the applicant must hold a Master of Science degree in Electrical Engineering, Engineering Physics or Computer Science or equivalent degree .

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

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)
• Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are 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.

Other information

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

For information about Processing of personal data in the recruitment process please read here.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.