Postdoc in Machine learning and Cyber-physical systems security - Hiring in process/Finished, not possible to apply

Job description
The division of NSE invites applications for a postdoctoral position in the area of machine learning, with potential applications to cyber-physical systems security and critical infrastructure security. Our objective is to develop an understanding of adversarial attacks on machine learning algorithms, and to provide mathematical foundations and engineering design principles for secure and resilient learning for use in networked systems and in critical infrastructures in face of cyber and cyber-physical attacks.

Qualifications
Applicants must hold or be about to receive a doctoral degree in EE or CS (or equivalent). The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The applicant should have a strong background from at least one of the areas algorithms, control and optimization, machine learning or software systems, with a history of applications to problems in security.

The successful applicant should have an outstanding research and publication record. Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to present and publish research results.

Trade union representatives

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Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

The application should contain the following: 

1. CV including relevant professional experience and knowledge.
2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
3. Brief explanation of why you want to conduct research, about your academic interests and how they relate to your previous studies and future goals; max 2 pages long.
4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.
5. 2 recommendation letters
6. Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

Others

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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.