Postdoctoral Research Assistant in Data-driven Models for Reactive Flows
4 weeks ago
About the Role
The project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, as part of the Royal Society International Science Partnership Funded project "Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray Characteristics".
About You
We are seeking a highly skilled researcher with a strong background in modeling and simulation of three-dimensional multiphase turbulent reacting flows and development and application of machine learning tools in chemical kinetics and turbulent combustion. The successful applicant will have, or soon obtain, a PhD degree in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related field.
About the School/Department/Institute/Project
This post is within the School of Engineering and Materials Science, a large School with 70-80 academics and a similar number of postdoctoral research staff. The School is part of the Faculty of Science and Engineering, which comprises five schools and two institutes. The Faculty's student population has grown, both within the UK and overseas, in recent years, and its research profile has strengthened considerably.
About Queen Mary
At Queen Mary University of London, we value diversity and inclusivity. We believe that a diverse range of ideas and perspectives helps us achieve great things. Our reformer heritage informs our commitment to social justice and improving lives through academic excellence. We offer a range of benefits, including 30 days' leave per annum, access to a pension scheme, and competitive salaries.
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, as part of the Royal Society...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani, to realize the objectives of the...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani, to realize the objectives of the...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr Amin Paykani at Queen Mary University of London to realise the objectives of the Royal...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London to realise the objectives of the Royal...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, to realize the objectives of the...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the ProjectThe project aims to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London to realise the objectives of the...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani.Key ResponsibilitiesDevelop and apply...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani.Key ResponsibilitiesDevelop and apply...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe goal of this project is to develop a reduced-order model for predicting the spray characteristics of ammonia direct injection using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, to achieve the objectives of the...
-
Postdoctoral Research Scientist
1 week ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly motivated Postdoctoral Research Assistant to join our team at Queen Mary University of London. The successful candidate will work with Dr. Nikola Ojkic on a BBSRC project investigating the physical mechanism of how antibiotic treatments lead to bacterial cell death.As a Postdoctoral Research Assistant, you will...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
4 weeks ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
-
Postdoctoral Research Assistant in Biomechanics
1 month ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work.About YouCandidates should have a PhD in mechanical engineering, biomedical...
-
Postdoctoral Research Assistant in Biomechanics
1 month ago
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work.About YouCandidates should have a PhD in mechanical engineering, biomedical...
-
Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work.About YouCandidates should have a PhD in...
