-
of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
-
, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system
-
in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
-
Engineering, Physics, or a related field. The ideal candidate will possess a master’s degree and have expertise in electromagnetics, machine design, and numerical simulations. Proficiency in software tools
-
starting dates: 1 Dec 2025, 1 Feb 2026, and 1 Jul 2026. How to apply Please send a copy of your covering letter, CV and academic transcripts to Dr Xiaofeng (Ken) Zheng at xiaofeng.zheng@nottingham.ac.uk
-
focuses on developing an innovative co-axial water-mist-assisted high-power laser processing system that could revolutionise the field. The research will involve design, simulation, prototyping, and
-
simulations and computer-aided design, as well as training in more general training in scientific communication, project management, collaborative working, and mentoring and leadership. All these skills