452 phd-computer-engineering-"Diamond-Light-Source"-"Diamond-Light-Source" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Materials Science
- Chemistry
- Mathematics
- Education
- Electrical Engineering
- Arts and Literature
- Physics
- Psychology
- Business
- Linguistics
- Environment
- Philosophy
- Earth Sciences
- Humanities
- Law
- Science
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
-
PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
-
Overview As a Project Engineer at the Advanced Manufacturing Research Centre (AMRC), you will have the opportunity to apply your skills to solve real-world manufacturing problems. Working within a
-
Tracking Flying Insects: Developing novel technology to explore the lives of bees School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Michael Smith Application
-
PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Dr P Kok Application Deadline: 15 January 2026
-
, Aerospace and Civil Engineering at the University of Sheffield, and embark on a transformative PhD project funded by John Crane Ltd, a global leader in engineering technology. What’s the Project About
-
Next Generation Aero-Engine Sealing Technologies School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof Matt Marshall Application Deadline: 31
-
Overview As a Senior Project Engineer in the machining group, your primary focus will be on developing digital technologies and process modelling techniques for commodity led production challenges
-
Background: A strong STEM degree (e.g., engineering, physics, chemistry, materials science, computer science, mathematics) or equivalent experience demonstrating a robust understanding of scientific principles
-
Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application