Doctoral students in Electrical Engineering towards autonomous wireless systems - Hiring in process/Finished, not possible to apply

Description of the workplace

The positions are within the Department of Electrical and Information Technology (EIT) and primarily in the Division of Communications Engineering. The Division has 13 senior researchers and around 20 doctoral students and work with wireless communication in a wide sense. This includes communication theory, channel measurements/modeling, implementation of advanced test beds and control and estimation over and of wireless networks. The positions are funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). As a doctoral student you will be part of the WASP Graduate School, which supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry.

Subject description

The research area covers both autonomous wireless networks and wireless communication in autonomous systems. How communication, control and sensing can be performed jointly to achieve objectives and satisfy constraints for either the wireless communication or the autonomous system or both. The research covers mathematical modelling, control, optimization, and estimation for autonomous wireless communication together with autonomous systems. 

Work duties

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%).

In terms of research, you explore how to achive relieble and efficient joint wireless communication and control for distributed autonomous. The empahsis will be on mathematical modeling, problem formulations, and algorithms. There are also elements of practical implementation and measurments in wireless communications test beds. In general you work on deriving requirements and algorithms for optimization problems involving quality of communication and performance of the autonomous system.  For example, derivation of requirements on the wireless communication to achieve safe and efficient operation for self-driving cars in a certain traffic scenario. The problems might be intractible from a computational point of view, which requires suboptimal solutions where machine learing methods could be used. As part of this research, we further forsee that additional topics such as distributed positioning and localization, synchronization and control will partly be covered.  

Admission requirements 

A person meets the general admission requirements for third-cycle courses and study programmes if the applicant: 

• 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 Electrical Engineering if the applicant has: 

• at least 60 credits in the second cycle with relevance to Electrical Engineering, or
• a MSc in Engineering in biomedical engineering, computer science, electrical engineering, engineering mathematics, nanoengineering, engineering physics or information and communication engineering.

Additional requirements:

• Very good oral and written proficiency in English.

Assessment criteria

Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following: 

1. Knowledge and skills relevant to the thesis project and the subject of study.
2. An assessment of ability to work independently and to formulate and tackle research problems.
3. Written and oral communication skills.
4. Other experience relevant to the third-cycle studies, e.g. professional experience.

Other assessment criteria:

• Experience with mathematical modelling and analysis of control systems or wireless communication systems. This also includes experience of the software tools used, such as MATLAB.
• Strong mathematical ability.
• Experience of scientific programming and algorithm development.
• Experience in distributed optimization and/or control. 
• Knowledge about graphs and networks.
• Experience with machine learning.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

We offer

Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. Read more on the University website about being a Lund University employee Work at Lund University. 

Terms of employment 

Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§. We intend to hire 1-2 doctoral students.

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.).

Welcome to apply!