Research Associate in Intelligent Communications: The Communications and Signal Processing Group at Imperial College has three openings for Research Associates in optimization, machine learning (ML), and artificial intelligence (AI) for communications. The positions are funded by EPSRC via the future communication systems hubs TITAN and All Spectrum Connectivity. The roles involve developing frameworks and algorithms to drive future communication technologies, encompassing ML and signal processing in the physical layer to network-level design, optimization, and orchestration.
- 🌐 Job Openings at Imperial College: Communications and Signal Processing Group
- Three positions available in optimization, machine learning (ML), and artificial intelligence (AI) for communications.
- Funded by EPSRC through TITAN and All Spectrum Connectivity hubs.
- Based at Imperial College with a diverse UK-wide team focusing on future communication technologies.
- 📅 Job Listing Information
- Reference: ENG02922
- Date Posted: 2 January 2024
- Closing Date: 4 February 2024
- 🧠 Research Focus Areas (Three Positions)
- Adaptable and Robust AI for Networks
- Develops adaptive, data-driven techniques for real-time response to network and user requirements.
- Ensures performance guarantees, robustness, and tractability in data-driven systems.
- AI as a Network Service
- Explores communication needs for machine-to-machine interactions in AI, incorporating federated and reinforcement learning.
- Optimizes network designs and operations for AI communication.
- AI and ML for Physical Layer
- Focuses on AI and ML techniques for physical layer issues like massive MIMO, RSMA, RIS, RIE, and spectrum sharing.
- Aims to support advanced physical layer techniques, cross-layer designs, and operations.
- Adaptable and Robust AI for Networks
- ⏳ Job Duration and Requirements
- Full-time, fixed-term positions for 12 months.
- Research Associate: Requires a Ph.D. in Electrical Engineering, Computer Science, Mathematics, or related discipline.
- Research Assistant: Near completion of a Ph.D. in the mentioned disciplines.
Designation: Research Associate
Research Area: Intelligent Communications – Optimization, Machine Learning (ML), Artificial Intelligence (AI)
Location: South Kensington Campus – Hybrid
Eligibility/Qualification:
- For Research Associate: Hold a PhD in Electrical Engineering, Computer Science, Mathematics, or a closely related discipline, or equivalent research, industrial, or commercial experience.
- For Research Assistant: Near completion of a PhD (or equivalent) in Electrical Engineering, Computer Science, Mathematics, or a closely related discipline.
Job Description: The Research Associates will focus on three research areas:
- Adaptable and Robust AI for Networks:
- Develop adaptive, data-driven techniques for future communication systems.
- Ensure performance guarantees, robustness, and tractability despite the data-driven nature of the system.
- AI as a Network Service:
- Explore machine-to-machine communications and optimize network designs for AI communication needs.
- Jointly incorporate considerations for AI (e.g., federated and reinforcement learning) in network designs and operations.
- AI and ML for Physical Layer:
- Develop novel AI and ML techniques to support advanced physical layer techniques and algorithms.
- Explore cross-layer designs linking the physical to network layers and future communication services.
How to Apply: Interested candidates can apply through the official application portal: Application Link
Last Date for Apply: 4 February 2024
Disclaimer: This post is sourced from a reliable channel. Applicants are advised to verify details on the official website or contact the provided email for further information.
