Doctoral Student in Electrical Engineering: Lund University is offering a scholarship for a doctoral student focusing on environment learning for dense ultra-massive MIMO systems. This research opportunity emphasizes the integration of machine learning and statistical signal processing within next-generation wireless communication technologies, specifically for 6G systems.
Doctoral Student in Electrical Engineering – Environment Learning for Dense Ultra-Massive MIMO-Systems
Designation:
Doctoral Student in Electrical Engineering
| Details | Information |
|---|---|
| Research Area | Environment Learning, Ultra-Massive MIMO Systems, Machine Learning, Wireless Communication |
| Location | Lund University, Faculty of Engineering, Lund, Sweden |
| Eligibility/Qualification | Must hold a Master’s degree or equivalent in relevant fields such as electrical engineering, information technology, or similar. Minimum of 60 second-cycle credits in related subjects required. |
| Description | The position involves developing models for wireless communication systems integrated with machine learning techniques. The doctoral candidate will work alongside a team of researchers, engaging in significant industrial partnerships within the European MiFuture doctoral network. |
| How to Apply | Interested candidates should write an application in English that includes a cover letter explaining the motivation for applying, a CV, degree certificates, transcripts, and contact information for references. Applications must be submitted via the Lund University job portal. |
| Last Date for Apply | March 7, 2025, 11:59 PM CET |
Additional Information:
This doctoral position offers full-time studies over four years, with up to 20% allocated for teaching and departmental duties. The research work will include collaborations and training sessions that enhance academic and industry exposure.
For inquiries, contact:
- Ove Edfors, Professor, +46462229026, ove.edfors@eit.lth.se
Join Lund University, renowned for its commitment to academic excellence and societal impact, and contribute to groundbreaking research in the field of electrical engineering and communication systems.
