Summary
Lund University is announcing a doctoral student position in Electrical Engineering focused on Machine Learning for Sensing in Distributed MIMO Systems. This opportunity involves cutting-edge research in the areas of wireless systems, data collection, and the application of machine learning techniques.
PhD Scholarship: Machine Learning for Sensing in Distributed MIMO Systems at Lund University, Sweden
Designation
Doctoral Student in Electrical Engineering
Table of Opportunity
| Criteria | Details |
|---|---|
| Research Area | Machine Learning for Sensing in Distributed MIMO Systems |
| Location | Lund University, Sweden |
| Eligibility/Qualification | MSc or equivalent in relevant fields |
| Job Description | Focus on wireless propagation studies and machine learning |
| How to Apply | Submit CV, cover letter, and relevant documents |
| Last Date to Apply | July 31, 2026 |
Research Area
The research emphasizes the utilization of Machine Learning in wireless systems, particularly in detecting and monitoring through distributed MIMO systems. It offers an innovative approach towards enhancing environmental observations.
Location
Lund University, Faculty of Engineering (LTH), Lund, Sweden
Eligibility/Qualification
- General Requirements:
- Second-cycle qualification or completion of courses totaling at least 240 credits, with a minimum of 60 credits at the second cycle.
- Specific Requirements:
- At least 60 second-cycle credits in relevant Electrical Engineering subjects or a MSc in related fields (e.g., Biomedical Engineering, Computer Science, etc.).
- Additional Requirements:
- Proficient in English (spoken and written).
- Independent problem-solving skills.
- Strong communication skills.
- Ability to collaborate effectively.
Job Description
As a doctoral student, you will engage in:
- Research projects related to wireless propagation and machine learning.
- Using a real-time software-defined D-MIMO testbed.
- Collaborating with another doctoral student at Linköping University.
- Participating in teaching and departmental activities (up to 20% of working hours).
How to Apply
Interested candidates should submit the following documents:
- A CV.
- A cover letter expressing motivation and alignment with the research project.
- Copies of study certificates and/or degree certificates confirming eligibility.
- Additional documents such as grade transcripts, reference contacts, and letters of recommendation.
Last Date to Apply
Applications must be submitted by July 31, 2026.
For further information on this opportunity, please contact Professor Ove Edfors at +46462229026 or via email at ove.edfors@eit.lth.se.
