About- Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.
Research/Job area– Electrical Engineering
Project Title- Faculty of Engineering, LTH, Elektro- och informationsteknik
Location- Lund University, Sweden
A person meets the general admission requirements for third-cycle courses and study programmes if he or she-
has been awarded a second-cycle qualification, or
has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
A person meets the specific admission requirements for third cycle studies in Electrical Engineering if he or she has-
at least 60 second-cycle credits in subject of relevance to electrical engineering, or
a MSc degree in electrical engineering, computer engineering, computer science, engineering physics, engineering mathematics, information and communication engineering, or similar.
Very good oral and written proficiency in English.
Excellent programming skills.
Good knowledge of mathematics, telecommunications, control theory and system modelling.
Good understanding of autonomous systems, machine learning, and distributed systems.
Good ability to mature with the research education and contribute to the research group.
Job/Position Description-The research subject is Electrical Engineering oriented towards optimization and control of networked systems for autonomous vehicle applications. An important part of the student’s work will be to validate theoretical methods and algorithms with experiments in test beds and simulations. Parts of the work will include the LuMaMi test bed, a multi antenna testbed for real-time evaluation of Massive MIMO at the Department of Electrical and Information Technology.
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will also include teaching and other departmental duties (no more than 20%).
Autonomous vehicle applications are envisioned to be one of the key use cases for 5G networks. Autonomous vehicle applications encompass several mission-critical applications, like self-driving vehicles, active car safety applications, and platooning. The autonomous vehicles can either independently take decisions depending on inputs from the surroundings or be orchestrated by remote supervisors that use vehicle-to-everything communication (V2X).
In this project, the PhD student will focus on the networked systems (5G, edge clouds, IoT etc) required for autonomous vehicle applications. The project will focus on algorithms and theory for optimizing the user experienced performance of autonomous vehicle applications. Resource management and control will be key topics, in order for the networked systems to provide the ultra-reliable and low-latency connectivity (URLLC) required for autonomous vehicle applications.
How to Apply-Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.)
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.
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