Publisher
source

Tasleem Khan

10 months ago

Fully Funded PhD in High-Performance Kernel Learning Processors for 6G Sensing, Machine Learning, and Hardware Design Heriot-Watt University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This is a fully funded PhD position with a stipend of £31,000 per year. Home fee rate and stipend are available for this position. Tuition fees are covered for eligible candidates.

Deadline

Expired

Country flag

Country

United Kingdom

University

Heriot-Watt University

Suggested positions

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD project at the University of Southampton in the Optoelectronics Research Centre (ORC) on simplified coherent optical technologies for next-generation passive optical networks . This research focuses on optical communications , coherent optical transmission , passive optical networks (PON) , telecommunications , and signal processing . The project aims to develop low-complexity coherent solutions for beyond-50G access networks, improving capacity, reach, spectral efficiency, and energy effici...

Computer Science
Signal Processing
Electrical Engineering
+3 more

6 days ago

Publisher
source

University of Essex

Country flag

United Kingdom

Fully funded PhD studentship at the University of Essex (School of Computer Science and Electronic Engineering) in partnership with NexCache Ltd . The project is titled Cache-enabled semantic immersive video delivery and sits at the intersection of computer science , electrical/electronic engineering , networks , machine learning , communications engineering , and signal processing . The successful candidate will join the 6G Lab and the Network Convergence Laboratory and work on real-world resea...

Computer Science
Signal Processing
Electrical Engineering
+4 more

2 weeks ago

Publisher
source

Heriot-Watt University and The University of Edinburgh

Country flag

United Kingdom

Applications are now open for CDT SPADS (Sensing, Processing and AI for Defence and Security), a PhD programme for September 2027 entry . This is a joint doctoral programme between The University of Edinburgh and Heriot-Watt University , bringing together research in artificial intelligence , sensing , and signal processing to address real-world defence and security challenges. The programme works with more than 20 partners, including the UK Ministry of Defence’s Defence Science and Technology L...

Computer Science
Signal Processing
Electrical Engineering
+4 more

1 week ago

Publisher
source

University of Bristol

Country flag

United Kingdom

The University of Bristol's School of Engineering Mathematics and Technology is offering a PhD position focused on scalable intelligent planning for partially observable uncertain systems. Modern infrastructure, including power grids, water networks, and transportation systems, relies on sustainable and continuous operation. However, these 'systems of systems' are complex, nonlinear, and often stochastic, making their management a significant scientific and logistical challenge. Small local fail...

Computer Science
Machine Learning
Systems Engineering
+5 more

7 months ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity in wireless communications and signal processing at the University of Southampton , Faculty of Engineering and Physical Sciences, in the UK. The project focuses on next-generation wireless systems and explores research areas such as integrated sensing and communications , over-the-air computation , and holographic MIMO . The work aims to develop new mathematical models, algorithms, and simulation-based evaluations for future 6G and beyond networks. Relevant methods and interests ...

Computer Science
Signal Processing
Electrical Engineering
+5 more

2 weeks ago

Keywords

Computer Science
Machine Learning
Signal Processing
Electrical Engineering
Energy Efficiency
Feature Selection

About this position

This fully funded PhD opportunity at Heriot-Watt University, supervised by Assistant Professor Mohd Tasleem Khan, Dr Elliot Crowley, and Prof George Goussetis, is part of the CDT Sensing, Processing and AI for Defence and Security (SPADS). The project focuses on developing high-performance kernel learning processors for next-generation sensing and 6G systems, integrating advanced machine learning, signal processing, and hardware design.

Research will address the challenges of kernel-based online learning under the extreme data rates and dense environments expected in 6G, aiming to overcome computational bottlenecks through analytical modeling and hardware-efficient algorithm design. The work will involve designing and optimizing high-speed kernel learning algorithms that exploit sparsity, feature selection, and reduced model complexity for real-time sensor signal processing. Hardware-efficient architectures will be created and validated using representative 6G sensing data, with a focus on throughput, energy consumption, silicon area, and learning accuracy for ASIC deployment.

The project is ideal for candidates with backgrounds in Electrical and Electronic Engineering, Computer Science, or related fields. Applicants should hold at least a 2:1 Honours degree (or international equivalent) in a relevant discipline, and an MSc is advantageous. A strong foundation in signal processing, machine learning, or hardware design is highly desirable. English language requirements apply for EU/Overseas applicants.

Funding includes a stipend of £31,000 per year and coverage of home tuition fees. The application deadline is 31 January 2026. For more information and to apply, visit the project link or contact [email protected] for general enquiries.

Keywords: kernel learning, 6G sensing, machine learning, signal processing, hardware design, ASIC, real-time processing, sparsity, feature selection, energy efficiency.

Funding details

This is a fully funded PhD position with a stipend of £31,000 per year. Home fee rate and stipend are available for this position. Tuition fees are covered for eligible candidates.

What's required

Applicants must have at least an Honours degree at 2:1 or above (or international equivalent) in a relevant science or engineering discipline, such as Electrical and Electronic Engineering or Computer Science, possibly supported by an MSc degree. Strong background in signal processing, machine learning, or hardware design is desirable. English language requirements apply for EU/Overseas applicants.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Assistant Professor

University Name
Country flag

United Kingdom

Research Interests

Feature Selection

Signal Processing

Electrical Engineering

Energy Efficiency

Computer Science

Prof

University Name
Country flag

United Kingdom

Research Interests

Electromagnetic

Hardware Engineering

Millimeter-wave Technology

Radio Frequency

Radio Frequency Engineering