Doctoral Position in Self-learning Systems for Automated Security

Royal Institute of Technology School of Electrical Engineering and Computer Science

Sweden

Doctoral student in Self-learning Systems for Automated Security

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

The research involves mathematical and algorithmic modeling and analysis, as well as system design, implementation, and experimentation. 

The research follows an approach where attacks and response actions on an IT infrastructure are modeled as a game between an attacker and a defender and where strategies of attackers and defenders co-evolve through self-play. Reinforcement learning techniques are studied to approximate optimal control strategies. In addition to analytical modeling and analysis, a testbed and a simulation environment is available for experimentation, training, and evaluation of control strategies. The successful candidate will join a group of researchers that work on topics related to this project. 

Third-cycle subject:  Computer Science

Supervision: Professor Rolf Stadler

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), or
  • 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.

The successful candidate holds a master degree in computer science, electrical engineering or a related area with expertise in the following areas: statistics, machine learning, networking, and programming.
Expertise in the following areas is helpful for the work: reinforcement learning, probabilistic modeling, game theory, security, and software engineering. 
The candidate must have very good skills in oral and written communication.

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

Contact information KTH's website.

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

Contact information 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. Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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

We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.

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

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2022-2668
Contact
Professor Rolf Stadler, stadler@kth.se
Lisa Olsson HR Officer, rekrytering@eecs.kth.se
Published 10.Nov.2022
Last application date 08.Dec.2022 11:59 PM CET
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