Doctoral Student Position in Game Theory for Machine Learning Security - Hiring in process/Finished, not possible to apply

The Department of Network and Systems Engineering (NSE) at the School of Electrical Engineering and Computer Science 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.

Project description

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.

The Doctoral student 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.

KTH offers an attractive working environment, generous remuneration, as well as other employment benefits. As a doctoral student at KTH you have many opportunities to participate at conferences, projects and other relevant events which will extend your professional network and benefit your future career.

Qualifications

The successful applicant is expected to hold or to be about to receive an MSc 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 qualifications.

Trade union representatives

You will find contact information to trade union representatives at KTH:s webbpage.

Application

Log in to KTH's recruitment system in order to apply for this position. You are responsible for ensuring that your application is complete according to the instructions below. Your complete application must be registered in the recruitment system no later than the last application date.

The application must include:

1. CV including your relevant professional experience and knowledge.
2. 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.
3. Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long.
4. Representative publications or technical reports: Documents no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text.
5. Critical summary of a paper listed at http://people.kth.se/~gyuri/publications.html that appeared in or after 2012. Summarize the main result, why and/or when does it work, potential shortcomings, on at most 1 page.
6. Letters of recommendation
7. Contact information for two reference persons. We reserve the right to contact references only for shortlisted candidates.

Others

The employment is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 5 years when 80% PhD studies and 20% department service including teaching). 

We firmly decline all contact with staffing and 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.