PhD Studentship: Machine Learning: The University of Southampton’s Faculty of Engineering and Physical Sciences invites applications for a fully-funded PhD studentship in the area of Quantum Technology Engineering. The research will focus on developing efficient end-to-end quantum machine learning strategies for imaging applications. The project offers substantial training in scientific, technical, and commercial skills.
PhD Studentship: Efficient end-to-end quantum machine learning strategies for imaging
Summary Table:
| Qualification Type | PhD |
|---|---|
| Location | Southampton |
| Funding for | UK Students, EU Students, International Students |
| Funding amount | Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. |
| Hours | Full Time |
| Placed On | 13th February 2024 |
| Closes | 31st August 2024 |
Study Area: Quantum Technology Engineering, specifically focusing on efficient machine learning strategies for computational imaging.
Scholarship Description: The project explores the entire computational chain of efficient quantum machine learning, addressing challenges in encoding classical information into an entangled quantum state. The research includes studying classical dimensionality reduction methods, quantum encoding strategies, and novel statistical decoding stages. The project is inspired by problems in computational imaging, emphasizing applications in tomographic imaging, such as image classification, anomaly detection, and image de-noising.
Eligibility: A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Required Documents:
- Curriculum Vitae
- Two reference letters
- Degree Transcripts/Certificates to date
How to Apply: Apply online: Search for a Postgraduate Programme of Study. Select program type (Research), Faculty of Engineering and Physical Sciences, next page select “PhD iMR”. In Section 2 of the application form, insert the name of the supervisor.
Last Date: Closing date for applications is 31 August 2024.
Funding opportunities, including bursaries and scholarships, are available for both UK and international students. For more information, please visit PhD Scholarships | Doctoral College | University of Southampton. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
For further information, please contact the supervisor: Thomas Blumensath thomas.blumensath@soton.ac.uk.
