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
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program, and provides a platform for academic research and education, fostering interaction with Sweden’s leading companies. The program addresses research in artificial intelligence, autonomous systems and software as enabling technologies for development of systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems of systems.
WASP will strengthen, expand, and renew the national competence through new strategic recruitments, a challenging research program, a national graduate school, and collaboration with industry. The program will be conducted in close cooperation with leading Swedish universities with an aim to promote the competence of Sweden as a nation within the area of AI, Autonomous Systems and Software.
Within WASP, we are seeking 1-2 Doctoral students with a strong background and interest in Mathematics, Optimization, Machine Learning, and Wireless Networks. Previous evident exposure to Optimization, either via courses or documented self study, is a must.
The PhD project will contribute to the development of the theoretical foundations of Efficient Data Representation and Machine Learning over future wireless networks. Beside providing the capacity for harvesting a massive amount of data, such networks will significantly reduce the run time by dividing the computational burden among multiple computational agents, being highly favorable for time-dependent and adaptive applications. However, these networks poses tremendous challenges for the success of Machine Learning methods.
The WASP PhD program in Electrical Engineering and Computer Sciences provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills.
The doctoral student will be supervised by: Carlo Fischione
What we offer
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 a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assed upon their ability to:
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 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.
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 Central European Time/entral European Summer Time.
Applications must include the following elements:
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
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.
Type of employment: Temporary position longer than 6 months
|Title||Doctoral student in Data Representation and Machine Learning over Networks|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||February 14, 2020|
|Application deadline||April 30, 2020|
|Job types||PhD  |
|Fields||Computer Communications (Networks),   Electrical Engineering,   Machine Learning  |