Sort by
Refine Your Search
-
PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
-
of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing line and testing platform at PEMC. Motivation As the mass transportation sector is moving towards electrification
-
electric motor manufacturing line and testing platform at PEMC. Motivation Electrification is shaping the future of transportation sector, where next-generation electrical vehicles require motors
-
are looking for An enthusiastic, self-motivated, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved
-
on modelling and testing of new reactors with a view to optimising the best systems for mixing supercritical water (>378o C and 221 bar) with wastewater feed streams. This needs to generate residence times
-
Manufacturing process for Cold Spray with Artificial Intelligence, operate the AM machine, characterise the materials with scanning electron microscopy and transmission electron microscopy with tensile testing
-
, with expertise in fluid mechanics and heat transfer Experience with OpenFOAM simulation software Programming skills with software such as Matlab and/or Python How to apply Please send an email with
-
testing (NDT) or laser ablation. This exciting PhD opportunity offers a unique combination of academic and industrial challenges, equipping the student with the skills to tackle complex mechatronics
-
, electrochemical testing). Industrial Secondments: Collaborate with industry to tackle real-world manufacturing challenges in renewable energy applications. International Research Exchanges: Opportunities to join
-
functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by