Postdoc in spectral turbulent-wing simulations and deep-learning methods - Hiring in process/Finished, not possible to apply

Job description

The goal of this project is to use computational-fluid-dynamics (CFD) methods for the analysis of turbulent flows around wings and other complex geometries. To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of pressure-gradient, wall curvature and three-dimensionality in the dynamics of wall-bounded turbulence. We are also interested in using deep-learning methods to further understand the impact of the simulation parameters on the results and to effectively design novel flow-control strategies. The researcher will become part of the VinuesaLab research group, where he/she will have the possibility to interact with several related projects dealing with large-scale turbulence simulations, deep learning and experiments. Furthermore, he/she will also have access to the multi-peta scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC). Finally, the researcher will become part of the excellent research environment FLOW.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature
• Help to relocate and be settled in Sweden and at KTH
• The researcher will become part of the VinuesaLab research group, where he/she will have the possibility to interact with several related projects dealing with large-scale turbulence simulations, deep learning and experiments

Read more about what it is like to work at KTH

Qualifications

Requirements

•  A doctoral degree or an equivalent foreign degree, this eligibility requirement must be met no later than the time the employment decision is made
• Excellent oral and written communication skills in English as this will be required in day-to-day work
• Relevant published work in the field of fluid mechanics

Preferred qualification

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• A suitable background for this position would be a PhD (completed in the last five years) in Mechanical/Aerospace Engineering or Computer Science with a specialization in data-driven methods and/or computational methods
• International experience
• Teaching abilities, as well as awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Research expertise
• Applicants must possess the ability to work independently and perform critical analysis as well as possessing good levels of cooperative and communicative abilities

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV with list of publications.
• Transcripts from university/university college.
• Contact information for at least two references.
• PhD thesis and two selected scientific papers (in pdf format).

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.