14 Physics positions at University of Sheffield in united kingdom in United Kingdom

GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies

prototype system to obtain experimental data, combine the data with process modelling and scale up towards a commercial design. A second application is the removal of carbon dioxide from the air, a core

GIF CDT: Impact of Sustainable aviation Fuels on Local Environment and Contrails

‘real world’ solutions. Candidate Requirements As a minimum we require candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process

GIF CDT: CFD modelling of hydrogen and blends combustion and emissions

. Chemical Engineering, Process Engineering, Chemistry, Materials Science etc. Applicants who have a First-class BSc/BEng (Hons) and can demonstrate significant relevant industry/research experience may also

GIF CDT: Post-combustion CO2 capture solvents: addressing the knowledge gap with long-term testing

. Candidate Requirements As a minimum we require candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Mechanical

GIF CDT: Future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain (SAFSC)

or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Systems Analysis, Data Science, Social Science etc. Applicants who have a First-class BSc/BEng (Hons) and

GIF CDT: Integrative systems of carbon removal technologies and green hydrogen scale up and standardisation

(over 60%) in a relevant area i.e. System engineering, Data science, Social science, Operation Research Chemical Engineering, Process Engineering etc. Applicants who have a First-class BSc/BEng (Hons) and

Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications

Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof J Weinstein

Artificial intelligence to Building Energy Systems for Next Generation Control Strategies

to design and test in physical buildings to validate the work whilst adding a valuable contribution to the existing research outputs and team. The successful candidate will develop, apply and validate AI

3D printed rocket engine and injector design - part of the R2T2 rocketry training hub

, working within the Aerospace research institute. This project will use careful control of additive manufacturing process parameters to improve the performance of rocket engines and injectors and enhance

GIF CDT: Fundamental combustion chemistry of hydrogen/ammonia/nitrogen fuel blends

Requirements As a minimum we require candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Mechanical Engineering