Research Fellow, School of Electrical and Electronic Engineering

The School of Electrical and Electronic engineering is looking for a Research Fellow to conduct research, develop coding and signal processing algorithms, address challenges in wireless communications, such as blind signals detection and channel estimation, multi-antenna signal design and detection, etc.

Responsibilities

• Develop diversity combining algorithms for unsynchronized MIMO signals.
• Develop machine/deep learning-based techniques to detect low-SNR signals.
• Investigate cell-free massive MIMO.
• Test of the developed algorithms by using raw data.
• Present work progress in reports, presentations and meetings.
• Work closely with PI, team members and collaborators to ensure timely and efficient completion of project milestones.

Requirements

Education background/ experience required:

• PhD degree in Electrical Engineering/Computer Engineering/Computer Science.

Specific Knowledge & Skills:

• Strong foundation on wireless communication algorithms and optimization techniques.
• Experienced with multi-antenna communication techniques.
• Familiar with common algorithms in machine learning and deep learning.
• Familiar with C/Python/Matlab languages
• Good English reading and writing skills.
• Good communication skills and team player.

We regret only shortlisted candidates will be notified.

Hiring Institution: NTU