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.
Information and Communication Technology
The PhD position is connected with a project called "AI4Green: Artificial Intelligence for Green Mobile Networks". AI4Green focuses autonomous management of both radio access and core networks, together with processing and storage resources at data centers while keeping in mind the emergence of new architectures and the development of smart grids. This includes:
- Analysis of mobile traffic data collected from mobile networks
- AI-based Network optimization using data (Traffic prediction, resource reallocation, self-healing)
- Intelligent detection of faults and anomalies in mobile networks
- Risk-sensitive resource management that takes into account the end-to-end path considering data centers, storage, computation, radio and core network resources at the same time.
- Design of smart, autonomous and parameter-free base stations that learn from the environment and activate the relevant energy saving features when needed with the optimized parameter settings
This PhD position covers multi-disciplinary skills and at the end the student will develop knowledge and become expert covering the intersection of all these areas: data analytics, machine learning, communication systems, mobile networks, optimization of communication systems. Having background and experience in one or more of these areas is an advantage.
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 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:
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.
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/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.
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.Type of employment: Temporary position longer than 6 months
|Title||Doctoral student in Artificial Intelligence for 6G Mobile Networks|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||February 23, 2019|
|Application deadline||April 30, 2019|
|Job type||PhD  |
|Fields||Communication Engineering,   Artificial Intelligence,   Computer Communications (Networks),   Machine Learning  |