Research Engineer in machine-learning methods for urban flows – KTH, Sweden, 2022

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Qualification Details

• 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 numerical simulations of turbulent flows and data-driven analysis methods

Great emphasis will be placed on personal competence and suitability.

Responsibilities/Job Description

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.

How to Apply?

Application Method: Online Application
Ref. No.: S-2022-0834

Application Procedure

1. CV including relevant professional experience and knowledge.
2. 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.
3. 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.

About the Employer:

Note or Other details

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

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Contact details

• Universitetslektor Ricardo Vinuesa, e-post:[email protected]

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