The candidate will work with numerical data of the turbulent flow in urban environments, with the aims of 1) understanding some of the most relevant physical mechanisms; and 2) developing machine-learning methods for prediction of flow, pollutant-concentration and temperature based on sparse measurements. The candidate will work with a multi-disciplinary team involving experts in fluid mechanics, numerical simulation and machine learning.What we offer
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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:
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.
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.