Dear all,
I am writing to share two research associate positions in machine learning applications in wireless networks at the Department of Engineering, King’s College London, UK.
The Research Associate positions are the following:
- Two-Year Research Associate Position on Machine Learning
- Application Deadline: January 15th, 2024
- More Information & Application: https://www.jobs.ac.uk/job/DER006/research-associate-in-machine-learning
- Our research team is offering a postdoctoral position to delve into innovative research focused on machine learning for 6G wireless networks with other team members, with a focus on developing machine learning solutions for task-oriented communications. The successful candidate will be able to develop skills in the exciting and emerging field of machine learning for future 6G networks. Experience in publishing CVPR papers is preferred.
- Three-Year Research Associate Position on Machine Learning for Wireless Networks
- Application Deadline: January 15th, 2024
- More Information & Application: https://www.jobs.ac.uk/job/DEU770/research-associate-in-machine-learning-for-wireless-networks
- Our research team is offering a postdoctoral position focused on federated and deep reinforcement learning for wireless networks with other team members, with a focus on developing innovative hierarchical and asynchronous federated learning, and multi-agent deep reinforcement learning solutions. The successful candidate will be able to develop skills in the exciting and emerging field of machine learning for 6G wireless networks. Experience in federated and deep reinforcement learning is preferred.
For further information or inquiries about these positions, please do not hesitate to reach out.
Merry Christmas and Happy New Year!
Best regards,
===================================================
Dr Yansha Deng
Reader (Associate Professor) | Centre for Telecommunication Research (CTR)
Strand building (S)2.42 | Department of Engineering | NMES | King's College London | United Kingdom
Tel: +44 (0)20 7848 8671 | Email: yansh...@kcl.ac.uk |
Personal Website: http://www.yanshadeng.org