403 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at University of Sheffield
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Phase Field Computational Methods for Fracture Problems in Engineering School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self or externally funded students only. References https://www.sheffield.ac.uk/biosciences/research
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Overview Are you passionate about shaping the future of manufacturing through cutting-edge research and innovation? As a Manufacturing Research Engineer at the Advanced Manufacturing Research Centre
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Overview As an Assistant Software Developer within The Integrated Manufacturing Group (IMG), you’'ll deliver cutting-edge research projects spanning robotics, automation, and digital transformation
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you apply. Criteria Essential or desirable Stage(s) assessed at Bachelor’s or master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related area (or equivalent
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Overview Are you passionate about shaping the future of manufacturing through cutting-edge research and innovation? As a Lead Manufacturing Research Engineer at the Advanced Manufacturing Research
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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, Computer Science, Systems Engineering, Robotics or Mechatronics. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Eligibility This project is open to
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Vision solutions to showcase potential process improvements to manufacturing companies. You will work alongside other Engineers to deliver research that has real-world benefits. You will be a student
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. The PhD programme will address research challenges including: • Generalisation vs specialisation: How to learn common physical behaviour across different gas turbine engine types while adapting efficiently