Research Engineer in urban flows and deep learning - 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 urban flows. 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 (https://www.vinuesalab.com) at the Department of Engineering Mechanics, 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, www.e-science.se). Finally, the researcher will become part of the excellent research environment FLOW (www.flow.kth.se).

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 get settled in Sweden and at KTH.

Read more about what it is like to work at KTH

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence. 

Preferred qualifications

• Subject-related skills
• Professional skills
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Collaborative abilities
• Independence
• Experience with deep learning

Great emphasis will be placed on personal skills.

Trade union representatives

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

To apply for the position

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

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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

About the employment

The employment is valid for a limited time according to the agreement - for up to 6 months, with access according to agreement.

Other information

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

For information about processing of personal data in the recruitment process please read here.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

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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.