- Data och IT
- Teknisk fysik och matematik
Ansök senast: 2021-12-15
Doctoral student in trustworthy machine learning for cyber-physical systems
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
The aim of the project is to develop algorithms and methods for vulnerability and security risk management for ML-enabled cyber-physical systems. The project will advance the state of the art in exploring the vulnerabilities of ML algorithms to realistic attacks, and the potential impact of such attacks on the trustworthiness of the entire system. It will develop solutions based on multiple sensing modalities and algorithmic solutions for introducing redundancy in ML-enabled systems, and will attempt to develop a methodology for addressing the pressing need for the certification of AI/ML enabled components of automated and autonomous systems. The project will be executed in close cooperation with major industrial and public collaboration partners from the railway domain.
Supervision: The doctoral student will be supervised by professor György Dán and professor Henrik Sandberg
What we offer
- The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.Read more
- A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
- A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
- Work and study in Stockholm, close to nature and the water.
- Help to relocate and be settled in Sweden and at KTH.
- Being part of a group that provides an inspiring research environment in the areas of resource allocation and learning problems for performance, resilience and security risk management with applications in content distribution, critical infrastructures, and mobile computation offloading, connected to major centers at KTH, e.g., TECoSA and Digital Futures
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),
- 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
- The applicant should have experience in the areas of machine learning, including its theoretical foundations, and/or game theory. Experience in the areas of optimization, control, stochastic processes, and cyber security is an advantage.
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 applicant should have experience in the areas of machine learning, including its theoretical foundations, and/or game theory.
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.
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.
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.
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
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.
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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.