Vacant job

Lund University was founded in 1666 and is consistently ranked among the world's leading universities. We have approximately 46,000 students and 8,500 employees in Lund, Helsingborg, and Malmö. We are united in our strive to understand, explain, and improve our world and people's living conditions.

Description of the activity

The Department of Electrical and Information Technology conducts high-quality research in various areas of electrical engineering, ranging from pure theoretical research to applied projects in close collaboration with industry. The department consists of approximately 100 active researchers, divided into four main sections; Communication Technology, Electromagnetics and Nanoelectronics, Integrated Electronic Systems, and Security and Network Systems. The position is linked to the Division of Communication Technology. The research conducted at the division focuses on wireless systems for the next generation, from theory to practice.

Being a PhD student

As a PhD student, you are both admitted as a student and employed at Lund University.

As a doctoral student, you are trained in a scientific approach. This can be briefly described as gaining practice in thinking critically and analytically, solving problems independently using appropriate methods, and developing research ethics awareness. Additionally, as a PhD student, you are given the opportunity to work on projects, develop your leadership skills, and enhance your pedagogical abilities. Throughout your studies, you are guided by supervisors. The doctoral studies conclude with a dissertation and a doctoral degree.

More about being a PhD student at LTH on lth.se (https://www.lth.se).

Subject and project description

Wireless systems play an increasingly important role in our daily lives. Using machine learning on measured wireless propagation channels as a way to observe the environment where the system is deployed and to detect and monitor intrusions, fire incidents, etc., has become an increasingly important research area. In particular, the current research focus on distributed MIMO systems (D-MIMO) opens up new and exciting possibilities with better spatial resolution in measurements.

The project "Machine Learning for sensing in distributed wireless systems" is a collaboration between Linköping University (LiU) and Lund University (LU). Two PhD students, one at each university, will work on the project in collaboration. The focus at LU, this position, lies on studies of wireless propagation, data collection, and implementation of machine learning, while the focus at LiU lies on new models and methods for machine learning.

More information about the project on elliit.se (https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems).

Responsibilities

You will primarily devote yourself to your doctoral education, which includes participation in research projects, doctoral courses, seminars, and conferences.

You will focus on studies of wireless propagation, data collection, and implementation of machine learning, starting from a world-leading real-time-based, software-defined D-MIMO testbed developed at the department. The competence you develop in wireless D-MIMO and the implementation of machine learning in these systems complements the work performed at LiU. Together with the PhD student at LiU, you will contribute to increasing knowledge and understanding of the new sensing opportunities that future D-MIMO-based wireless systems, in combination with machine learning, can offer.

The responsibilities also include participation in teaching and other departmental activities (max 20% of working time).

Qualifications

To be admitted and employed as a PhD student, you must meet the requirements below.

Admission requirements

You meet the basic admission requirements for postgraduate studies if you have

• completed an advanced level degree or
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level or
• acquired substantially equivalent knowledge in some other way.

You meet the special admission requirements for electrical engineering if you have:

• at least 60 higher education credits at advanced level relevant to the subject area, or
• a Master of Science in Engineering degree in computer science, electrical engineering, information and communication technology, medicine and technology, technical physics, technical mathematics, or technical nanoscience.

For the full advertisement, please see https://lu.varbi.com/what:job/jobID:942296/ (https://lu.varbi.com/what:job/jobID:942296/).