Research Associate / Senior Research Associate – DAWS2 Robust Design of Highly Flexible Wings

We are seeking a motivated interdisciplinary researcher to join the University of Bristol, as part of the Aerospace Technology Institute / IUK funded DAWS2 project.

The work involves the development of robust and reliable design approaches to incorporate the aerodynamic and structural nonlinearities inherent in high aspect ratio wing optimisation, assessment of the effect of uncertainties on in-service structural health monitoring, and application of uncertainty prediction methodologies for the design of wind tunnel tests.  

As part of the role it would be expected that the candidate works closely with the main industrial partner and partners from other Universities in the DAWS2 project, making regular presentations, writing progress reports and completing project deliverables.  The successful candidate will be part of a team of researchers working on different aspects of the DAWS2 project.

Your responsibilities will include:

• development of surrogate models based upon sampled data including Bayesian and Gaussian based UQ methods
• complementation of sensitivity analysis techniques to define most critical parameters
• development of robust / reliable design optimisation methods  – trade offs
• consideration of nonlinearities for the design of high aspect ratio wings
• consideration of high / low fidelity modelling – inclusion of test results including scaled models
• undertake technical discussions with other partners in DAWS2 and researchers across the University of Bristol.
• present results from this work at regular progress meetings
• produce written technical reports to meet the required deliverables of DAWS2 and also publish conference and journal papers arising from this work as appropriate.

Research Responsibilities

• development of robust and reliable design approaches to incorporate the aerodynamic and structural nonlinearities inherent in high aspect ratio wing optimisation
• assessment of the effect of uncertainties on in-service structural health monitoring
• application of uncertainty prediction methodologies for the design of wind tunnel test procedures

You have:

• A 1st class undergraduate degree in Aerospace Engineering or related engineering domain
• Candidates for the I Grade(RA) position should have or be working towards a PhD in Aerospace Engineering or a related engineering domain
• Candidates for the J Grade (SRA) position should already possess a PhD in Aerospace Engineering or a closely related engineering domain and in addition should have good previous PDRA experience.

For both the RA and SRA positions you should have:

• Knowledge of uncertainty quantification and sensitivity analysis
• Experience in the use of surrogate modelling and machine learning methodologies
• Experience of structural optimisation.

Desirable:

• Experience of using of Finite Element software
• Experience of working with/in industry

For informal queries please contact Professor Jonathan Cooper, [email protected]

To find out more about what it’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

Interviews are anticipated to be held on 22 April 2024.

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents

We are seeking a motivated interdisciplinary researcher to join the University of Bristol, as part of the Aerospace Technology Institute / IUK funded DAWS2 project.

The work involves the development of robust and reliable design approaches to incorporate the aerodynamic and structural nonlinearities inherent in high aspect ratio wing optimisation, assessment of the effect of uncertainties on in-service structural health monitoring, and application of uncertainty prediction methodologies for the design of wind tunnel tests.  

As part of the role it would be expected that the candidate works closely with the main industrial partner and partners from other Universities in the DAWS2 project, making regular presentations, writing progress reports and completing project deliverables.  The successful candidate will be part of a team of researchers working on different aspects of the DAWS2 project.

Your responsibilities will include:

• development of surrogate models based upon sampled data including Bayesian and Gaussian based UQ methods
• complementation of sensitivity analysis techniques to define most critical parameters
• development of robust / reliable design optimisation methods  – trade offs
• consideration of nonlinearities for the design of high aspect ratio wings
• consideration of high / low fidelity modelling – inclusion of test results including scaled models
• undertake technical discussions with other partners in DAWS2 and researchers across the University of Bristol.
• present results from this work at regular progress meetings
• produce written technical reports to meet the required deliverables of DAWS2 and also publish conference and journal papers arising from this work as appropriate.

Research Responsibilities

• development of robust and reliable design approaches to incorporate the aerodynamic and structural nonlinearities inherent in high aspect ratio wing optimisation
• assessment of the effect of uncertainties on in-service structural health monitoring
• application of uncertainty prediction methodologies for the design of wind tunnel test procedures

You have:

• A 1st class undergraduate degree in Aerospace Engineering or related engineering domain
• Candidates for the I Grade(RA) position should have or be working towards a PhD in Aerospace Engineering or a related engineering domain
• Candidates for the J Grade (SRA) position should already possess a PhD in Aerospace Engineering or a closely related engineering domain and in addition should have good previous PDRA experience.

For both the RA and SRA positions you should have:

• Knowledge of uncertainty quantification and sensitivity analysis
• Experience in the use of surrogate modelling and machine learning methodologies
• Experience of structural optimisation.

Desirable:

• Experience of using of Finite Element software
• Experience of working with/in industry

For informal queries please contact Professor Jonathan Cooper, [email protected]

To find out more about what it’s like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

Interviews are anticipated to be held on 22 April 2024.

We recently launched our strategy  to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.

Available documents