At a Glance
- Tasks: Conduct groundbreaking research on resilient federated learning for autonomous systems.
- Company: The University of Sheffield, a leader in engineering and technology.
- Benefits: Fully funded PhD with a tax-free stipend of £25,000 per year.
- Other info: Collaborate with Dstl and gain invaluable research experience.
- Why this job: Join a pioneering project that shapes the future of autonomous systems.
- Qualifications: Strong academic background and programming skills required.
The predicted salary is between 25000 - 25000 £ per year.
The University of Sheffield is offering a fully funded Ph D studentship in Electrical and Electronic Engineering focused on improving the resilience of federated learning-enabled autonomous systems.
The role involves research on dynamic aggregation strategies and collaboration opportunities with Dstl.
Applicants should have a strong academic background, including a first-class or strong upper-second-class degree, and proficiency in programming.
The position includes a tax-free stipend of approximately £25,000 annually.
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PhD in Resilient Federated Learning for Autonomous Systems in Sheffield employer: University of Sheffield
The University of Sheffield is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration. With a focus on cutting-edge research in Electrical and Electronic Engineering, employees benefit from a supportive work culture, ample opportunities for professional development, and the chance to contribute to meaningful advancements in autonomous systems. Located in a dynamic city, the university provides a stimulating atmosphere for both personal and academic growth.
