Current jobs related to PhD Studentship - Sheffield, Sheffield - University of Sheffield
-
Sheffield, United Kingdom University of Sheffield Full timeWe are delighted to offer a full-time PhD Studentship as part of a Leverhulme funded project entitled This Woman’s Screen Work?: Creativity, Care and Gender in Asian Film. ‘ The project looks at the careers of female screen-workers in Asian film and screen industries. We aim to focus on both day-to-to-day working experiences and how women navigate both...
-
PhD Studentship
1 month ago
Sheffield, United Kingdom University of Sheffield Full timeAbout the Project The optimisation algorithm of neural networks, backpropagation, is considered impractical for biological systems and neuromorphic computing. The recent success of deep learning has raised concerns about its energy consumption. To address this issue, researchers have started exploring physical neural networks (PNNs), which leverage the...
-
PhD Studentship
1 month ago
Sheffield, United Kingdom University of Sheffield Full timeSupervisors: Dr. Xu Xu, Professor Ian Halliday, Professor Richard Clayton, Harry Saxton Cardiovascular diseases (CVD) are the leading cause of death worldwide. Invasive and non-invasive treatments carry patient risk and can fail to achieve the desired clinical outcome, due to the physiological state of a patient, who would therefore benefit from quantitative...
-
Clinical Fellowship with Phd
3 months ago
Sheffield, United Kingdom University of Sheffield Full timeAre you interested in working in a dynamic research environment to take your clinical career to the next level? An exciting opportunity has arisen for a clinically qualified individual with and interest in cancer immunology and breast cancer bone metastasis to contribute to an ongoing research project focused on improving immunotherapies for premenopausal...
-
PhD Studentship
4 months ago
Sheffield, United Kingdom University of Sheffield Full timeSupervisors: Prof. Solomon Brown & Dr Smitha Gopinath With increased penetration of renewables into electricity systems world wide the behaviour of actors within the energy system requires increased consideration of uncertainty and environmental impacts to support the wider decarbonisation effort. This work would extend the economic optimisation of...
-
PhD Studentship
2 months ago
Sheffield, United Kingdom University of Sheffield Full timeAbout the Project Ankle fusion is a common treatment for advanced ankle arthritis to relieve pain and improve functional outcomes. However, there is a reported non-union rate of 5-37%, requiring further surgery or an ankle replacement. Moreover, there are several options for internal fixation, with no consensus on the number of screws, orientations, and...
-
PhD Studentship
1 day ago
Sheffield, United Kingdom University of Sheffield Full timeDigital twins are an emerging tool for the modelling and managing of structures. They are considered models which evolve in time together with the structure and it is desired that they integrate different types of data in the modelling procedure. Thus, the use of data-driven models which can deal with different types of data as part of a digital twin becomes...
-
Sheffield, United Kingdom University of Sheffield Full timeContract type: Open ended Location: Main Campus This is an exciting opportunity for a Lecturer in Artificial Intelligence at the University of Sheffield. Our research groups with strong AI interests, include Machine Learning, Speech & Hearing, Natural Language Processing and Visual Computing. We are seeking a candidate with an outstanding record of...
PhD Studentship
4 months ago
Neuromorphic devices aim to emulate the structure of the human brain to develop resource efficient computing systems. Recent developments have shown strong growth but the complexity of manufacturing many operating elements is challenging to scale indefinitely. To circumvent this, we aim to use bespoke nanoscale devices as 'complex' neurons that operate as collections of standard neurons. To train networks of these devices we will use digital twins; machine learning models trained to predict physical systems but are differentiable.
This project will advance the machine learning methods, particularly neural differential equations, for predicting the dynamics of experimental systems designed for neuromorphic computing. A focus will be on how these models can be trained to learn device variations and how they affect performance metrics. It will explore the use of meta-learning to train models so that they can be adapted to new systems with few data points.
Supervisor Bio
Dr Matthew Ellis' research intersects machine learning and physics; looking to better integrate advances in both to create new paradigms for computing. With a background in theoretical physics, he looks at how unconventional computing systems can be used to create energy efficient hardware for AI applications. He has particular interests in unconventional machine learning algorithms, computational modelling and how studying the brain can inspire new architectures.
About the Department/Research Group
The candidate will join the Bio-Inspired Machine Learning Lab, jointly led by Dr Ellis and Prof Eleni Vasilaki. They join a strong interdisciplinary collaboration crossing the Computer Science and Materials Science covering both theoretical and experimental research into spintronic neuromorphic computing. The department has a track record of research excellence; ranking 8th nationally for research environment quality and 99% of our research rated world-leading or internationally excellent.
Candidate requirements
- Minimum 2.1 Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Physics, etc), or equivalent.
- Self-motivated with experience in machine learning and/or computational modelling.
- Strong programming skills; ideally Python.
- If English is not your first language: an IELTS score of 6.5 overall, with no less than 6.0 in each component.
How to apply
Please note that this studentship is one of three projects advertised with Dr Matt Ellis. Applicants should only apply for one they are most interested in. Applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form with Dr Matt Ellis named as your proposed supervisor.
You should include a short (up to 3 A4 pages) research statement that outlines your reasons for applying for this studentship and explains how you would approach the research, including details of your skills and experience in the topic area. Information on what documents are required and a link to the application form can be found here:
Funding notes
The PhD studentship will cover standard UK home tuition fees and provide a tax-free stipend at the standard UK Research Council rate (currently £19,237 for 2024/25) for 3.5 years. Overseas students are eligible to apply but you must have the means to pay the difference between the UK and overseas tuition fees by securing additional funding or self-funding. Further information can be found here:
£19,237 - please see advert
