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.
Third-cycle subject: Electrical Engineering
Machine learning has over the past years developed into a tool capable of achieving human-like performance in various problem domains. In the near future it will be integrated in complex network control systems, to interpret sensory input and to facilitate adaptation to changing a environment. The potential benefits of machine learning enabled networked control systems are tremendous, but machine learning introduces significant vulnerabilities that need to be understood and mitigated, in order to make future networked control systems secure.
The goal of the project is to develop a fundamental understanding and engineering design of machine learning enabled complex networked control systems. To achieve this goal, the project plans to develop novel game theoretical models of network security, with a focus on adaptation and learning. The models and algorithms will be used for devising solutions for system design, threat mitigation and attack detection. The developed solutions will be validated in a state of the art large-scale on-campus testbed. Frequent interaction with industrial partners ensures a focus on fundamental problems with high industrial relevance, and provides good career prospects in industry as well as in academia.
What we offer
The doctoral program in Electrical Engineering provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills.
The successful applicant will conduct research at the Department of Network and Systems Engineering (NSE) at the School of Electrical Engineering and Computer Science. The department conducts world class research in the field of computer networking, with a focus on networked system design, performance modeling and evaluation and security. Current areas that our research covers are sensor networks, multimedia communications, cloud computing, mobile and vehicular communications, and smart grid communication security. Members of the department participate in several EU projects and collaborate with researchers at universities in Europe, in North America and in Asia. Our graduates are highly sought after by the IT industry, and are employed at research labs and companies in Europe and in the U.S.
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:
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:
The successful applicant should hold a degree in Electrical Engineering, Computer Engineering, Computer Science, Applied mathematics or a corresponding degree. Knowledge of machine learning and game theory is required together with a strong mathematical background. Knowledge of optimization, stochastic processes, and linear algebra are an advantage. Skills of interest also include programming required for simulations and for empirical validation. A thesis work relevant to the position and significant international experience are a merit.
The successful applicant should have an outstanding academic track record, and well developed analytical and problem solving skills. We are looking for a strongly motivated person, who is able to work independently and in a team. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals. The evaluation will be based on how well the applicant fulfills the above criteria.
After the qualification requirements , great emphasis will be placed on personal qualities and personal suitability.
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.
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Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the section's website.
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:
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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.Type of employment: Temporary position longer than 6 months
|Titel||Doctoral student in Game Theory and Machine Learning Security|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Veröffentlicht||April 17, 2019|
|Bewerbungsschluss||Juni 15, 2019|
|Jobart||PhD/ Doktorand/in  |
|Fachbereiche||Algebra,   Spieltheorie,   Computertechnik,   Angewandte Mathematik,   Elektrotechnik,   Computergestütze Mathematik,   Maschinelles Lernen  |