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Finite Element AnalysisANSYSPythonMachine LearningGradient-Based Optimization
Requirements
The position requires a motivated candidate with a PhD in Mechanical, Automotive, Aerospace, or Materials Engineering. Expertise in finite element analysis, Python-ANSYS interfaces, and optimization methods is significant.
Job Description
About The Role
As a postdoctoral research fellow, you will participate in an industry-funded project and perform numerical studies, develop tools facilitating the interaction of finite element software, ANSYS, with our in-house code. The major goal of this role is to develop major principles for effective use of friction dampers in rotating machinery aimed at restriction resonance regimes under nonlinear vibrations of complex structures.
About You
This position would suit a motivated candidate with a good background and degrees in Mechanical, Automotive Engineering, Aerospace Engineering, Materials Engineering, who have received recently a PhD degree or passed a viva.
Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological characteristics is also appreciated.
About Our School
In The School of Engineering and Informatics we cover the disciplines of computer, electrical and electronic engineering, mechanical, and automotive engineering, product design, digital media, computer science and informatics. Our distinctive characteristics are: creativity, interdisciplinarity, strong links with industries, and an international outlook in both research and teaching. £10m (£4.9m from HEFCE) has been invested in the Future Technologies Laboratory as a result of a 60% surge in applications for the School’s degrees.
Our interdisciplinary approach applies to our research, with current and recent externally funded projects with researchers in a wide range of other subject areas. Innovative research across the School has led to a number of patents which are being commercialised including: novel electric potential sensors (EPS) licensed to Plessey Semiconductors and marketed as the EPIC sensor chip; and University spin-out companies, including InCrowd Sports, and TexRAD.
Please find further information regarding the School of Engineering and Informatics.
The School of Engineering and Informatics is proud to hold a Bronze Athena Swan Award.
Why work here
Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme.
Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.
Find Out More About Our Reward And Benefits Package.
Find out about our equality, diversity and inclusion.
Further Key Information
Please contact Evgeny Petrov (Y.Petrov@sussex.ac.uk) for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds.
Eligibility
Visa Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship.
The University requires that work undertaken for the University is performed in the UK.
As a postdoctoral research fellow, you will participate in an industry-funded project and perform numerical studies, develop tools facilitating the interaction of finite element software, ANSYS, with our in-house code. The major goal of this role is to develop major principles for effective use of friction dampers in rotating machinery aimed at restriction resonance regimes under nonlinear vibrations of complex structures.
About You
This position would suit a motivated candidate with a good background and degrees in Mechanical, Automotive Engineering, Aerospace Engineering, Materials Engineering, who have received recently a PhD degree or passed a viva.
Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological characteristics is also appreciated.
About Our School
In The School of Engineering and Informatics we cover the disciplines of computer, electrical and electronic engineering, mechanical, and automotive engineering, product design, digital media, computer science and informatics. Our distinctive characteristics are: creativity, interdisciplinarity, strong links with industries, and an international outlook in both research and teaching. £10m (£4.9m from HEFCE) has been invested in the Future Technologies Laboratory as a result of a 60% surge in applications for the School’s degrees.
Our interdisciplinary approach applies to our research, with current and recent externally funded projects with researchers in a wide range of other subject areas. Innovative research across the School has led to a number of patents which are being commercialised including: novel electric potential sensors (EPS) licensed to Plessey Semiconductors and marketed as the EPIC sensor chip; and University spin-out companies, including InCrowd Sports, and TexRAD.
Please find further information regarding the School of Engineering and Informatics.
The School of Engineering and Informatics is proud to hold a Bronze Athena Swan Award.
Why work here
Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme.
Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.
Find Out More About Our Reward And Benefits Package.
Find out about our equality, diversity and inclusion.
Further Key Information
Please contact Evgeny Petrov (Y.Petrov@sussex.ac.uk) for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds.
Eligibility
Visa Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship.
The University requires that work undertaken for the University is performed in the UK.
Education
Postgraduate Degree
Skills
Finite Element AnalysisANSYSPythonMachine LearningGradient-Based OptimizationNumerical MethodsMaterial PropertiesTribological Characteristics