5 faculty jobs found

Area Computer Science Location UK Other Closing Date Sunday 19 April 2026 Reference SCI3060 Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1 st October 2026. The studentships will have a duration of 42 months, with an annual stipend at the UKRI rate (currently £21,805). The Faculty of Science AI DTC is an initiative by the University of Nottingham to train future researchers and leaders to address the most pressing challenges of the 21st Century through foundational and applied AI research on a cohort basis. The training and supervision will be delivered by a team of outstanding scholars from different disciplines cutting across Arts , Engineering ,...

Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk)  Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio Feedback Refining  School/Faculty: Mechanical Engineering  Closing Date: 26 June 2026  Eligibility: UK Only  Funding: School of Mechanical Engineering Scholarship, in support of the IMPACT-Bio Research Grant, providing full academic fees, together with a tax-free maintenance grant at the standard UKRI rate of £21,805 per year for 3.5 years.  Lead Supervisor’s full name & email address  Professor Richard Barker: r.j.barker@leeds.ac.uk  Co-supervisor’s full name & email address  Professor Harvey Thompson: h.m.thompson@leeds.ac.uk Dr Joshua Owen: j.j.owen@leeds.ac.uk  Project summary  The global shift toward renewable bio based fuels is creating exciting new scientific and engineering challenges. Compared with traditional crude oil, bio feedstocks behave very differently during...

The Role We seek to appoint a Lecturer in Artificial Intelligence with a broad profile in applications of AI such as explainable and ethical AI, human-computer interaction (HCI) or user experience  (UX) and AI. Applicants should have a developing track record of publications and academic achievement to complement the research in the School of Computer Science and Mathematics, and the ability to contribute to the disciplines of AI and Computer Science in teaching, knowledge exchange and research.   The role provides a full range of opportunities and tools to facilitate a substantive career development and a platform for contributing to this cross-disciplinary field through research activities, publications and an impact on both industry and the society at large. The Person An effective communicator, you will hold a PhD in Computer Science or related area, and ideally an appropriate HE teaching qualification or accreditation, such as Fellowship of the Higher Education Academy (FHEA),...

BACKGROUND The Faculty of Science and Engineering at the University of Manchester has invested in Early Career Researchers for many years, thereby increasing the diversity of our staff. These represent a strategic investment in outstanding researchers who will shape our future research portfolio. In 2026, we plan to appoint Dame Kathleen Ollerenshaw University Research Fellowships across the Faculty. These fellowships are fixed-term for 5 years and serve as an excellent stepping stone toward establishing an independent research career and securing a full-time, permanent academic position. It is therefore important that applicants discuss their applications with the candidate host departments and ensure that their teaching profile and skills align with the host departments' longterm strategy. In 2026, we plan to appoint Dame Kathleen Ollerenshaw University Research Fellowships aligned with FSE (e.g., in the Department of Computer Science and the Mechanical Engineering and the...

One of the largest global HFT funds is looking for a talented and dynamic engineer for one of their growing quant trading teams to work on a wide range of exciting and challenging projects. You will collaborate extensively with traders and technologists, taking ownership of both trading & operational issues, as well as the deployment process for production trading, with a view to making it fault-tolerant and scalable. This will involve writing and maintaining a complex Python infrastructure alongside configuration management of the production servers. Unique in their field, this firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. If you're keen to learn about automated electronic trading, and can solve difficult technical problems in a fast-paced and energetic environment, this role is for you. Requirements Strong Python & Linux skills, with some C++/SQL knowledge preferable Solid debugging skills in code...