Lecturer in Fluids Simulation / Digital Twins (F&E)

Job title:

Lecturer in Fluids Simulation / Digital Twins (F&E)

Company

University of Manchester

Job description

Applications are now open for an exciting academic position aimed at conducting pioneering research in the fields of fluids simulation and digital twins.Manchester has long been a leader in Engineering, with historical routes dating back to the Industrial Revolution and the foundation of The Institute of Mechanics in 1824. Today, the taught programmes of Mechanical, Aerospace and Civil engineering welcome over 2000 students across the spectrum of courses, and our related departments are a home to over 200 academic and research staff.A cornerstone of our world-leading research activity is the advancement of computational engineering. A dynamic team of over 40 staff explore a diverse array of topics within this field, impacting various sectors and industries. Our interdisciplinary approach not only enhances our understanding but also drives innovation and education across multiple domains.A recent national report highlighted ‘Faster Digital Design’ as a critical unmet challenge in today’s society and industry. Digital twins, which are virtual models that accurately mirror physical objects, processes, or systems, are increasingly utilized to enhance system performance, pre-emptively address problems, enable accelerated design, and streamline processes. Fluids simulation often remains the bottleneck in such models, underscoring the pressing need for research into cost-effective yet accurate methods.We are seeking excellent candidates who aspire to become global leaders in Fluids Simulation and Digital Twins, with a passion to make substantial contribution to exciting delivery and syllabus development at undergraduate and postgraduate level. In particular we invite applications from candidates with substantial experience in one or more of the following areas of research:

• Development and application of reduced-order models, via machine learning/AI and other data science methods within the context of fluid dynamics and digital twins.

• Development of fluids simulation strategies tailored to clean energy; including technology for hydrogen and other sustainable fuels; combustion dynamics; super/hypersonic flows.
• Enhancement of particle-based methods like Smoothed Particle Hydrodynamics (SPH) applied to multiphase flows and natural hazards.
• Application and development of advanced numerical methods for simulating turbulent flow and multi-physics to high orders of accuracy, e.g. flux reconstruction, discontinuous Galerkin and spectral difference methods.

The research of the successful candidate may be at the fundamental stage or more translationally focused towards applications, with an expectation to deliver world-leading research and clear pathways to impact.As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.The University actively fosters a culture of inclusion and diversity and seeks to achieve true equality of opportunity for all members of its community. The Faculty welcomes applications from all sections of the community and are committed to having a representative workforce. Across the Schools we hold Bronze and Silver Athena SWAN Awards, which recognise our commitment to equality, diversity and inclusion and particularly the advancement of women’s careers in STEM.The University also holds a Bronze Race Charter Mark recognising our commitment to improving the representation, progression and success of minority ethnic staff and students within higher education. In addition, we are a Disability Confident Employer, guaranteeing an interview for any disabled applicant who meets the minimum requirements for a job.Our University is positive about flexible working – you can find out moreBlended working arrangements may be consideredPlease note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.Enquiries about the vacancy, shortlisting and interviews:Name: Professor Alistair RevellEmail:General enquiries:Email:Technical support:Jobtrain: 0161 850 2004This vacancy will close for applications at midnight on the closing date.Please see the link below for the Further Particulars document which contains the person specification criteria.

Expected salary

Location

Manchester

Job date

Sat, 08 Jun 2024 03:45:12 GMT

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