99 phd-computer-engineering-"Diamond-Light-Source"-"Diamond-Light-Source" positions at University of Newcastle
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of Engineering Technical Manager with the management of the wider technical services provision which will include aspects of School and Faculty Infrastructure, Estates, Environmental and Health and Safety
-
at significant risk. We are seeking a skilled and motivated Software Engineer and researcher to join our interdisciplinary Urban Observatory team. This role is central to supporting a range of cutting-edge
-
Knowledge, Skills and Experience Experience or taught knowledge in one or more areas of Software Engineering. Including, but not limited to; Cloud Computing, Visualization, Web Applications, Data Analytics
-
of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing
-
equipment such as Spirax Sarco Computer literacy would be highly desirable Qualifications Essential An appropriate City and Guilds Mechanical Craft Certificate or NVQ Level 3 in an Engineering Maintenance
-
related subject Essential for Research Assistant role Nearing completion of PhD in chemical engineering, materials science, chemistry, or a closely related subject Honours degree or equivalent in chemical
-
of Engineering, the programme builds on the School’s established strengths in fluid dynamics, materials, intelligent sensing, advanced manufacturing and electrical power systems and will be delivered from the new
-
to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 18 July 2025 Newcastle University has an opening in its Research Software Engineering Team
-
for Research Associate • PhD in any related areas, preferable in an interdisciplinary topic (e.g. Computational Neuroscience, or Biomedical Engineering) Newcastle University is a global University where
-
. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Experience deploying machine learning models on edge platforms (e.g., NVIDIA Jetson, Raspberry Pi, ARM Cortex