ORGANISATION/COMPANYUniversidad Politécnica de Madrid
RESEARCH FIELDComputer science › 3 D modellingEngineering › Aerospace engineeringMathematics › Computational mathematics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE24/10/2019 21:00 - Europe/Athens
LOCATIONSpain › Madrid
TYPE OF CONTRACTTemporary
HOURS PER WEEK40
OFFER STARTING DATE01/01/2020
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER860101
In the framework of a Marie Skłodowska-Curie Innovative Training Networks H2020 project zEPHYR, the Universidad Politécnica of Madrid (ETSIAE-UPM) offers 2 open PhD positions for training and research in innovative simulation methods.
The Universidad Politécnica de Madrid (UPM) is the oldest and largest Spanish technical University, with more than 4.000 faculty members, around 48.000 undergraduate students and 6.000 postgraduates in 21 Schools of study. UPM Schools cover most of engineering disciplines, including Aeronautics. The School of Aeronautics ETSIAE-UPM is one the best schools of engineering in Spain and the oldest providing an aeronautical degree. ETSIAE-UPM was ranked 41st of the world in Shanghai’s ranking for aeronautical engineering in 2017. Two different departments are involved in this project:
The Center of Computational Simulation at ETSIAE-UPM (http://numath.dmae.upm.es) and the Dept. of Aircraft and Space Vehicles (http://www.dave.upm.es/) offers a young dynamic environment, where currently 19 PhD students and 70 academics perform research in fluids and numerical methods aerospace technology and wind energy.
The two positions available at UPM require:
- High order methods for generation and propagation of acoustics of wind turbines in urban environments
The objective is to investigate advanced numerical methods based on high order discontinuous Galerkin techniques for generation and propagation of acoustics using LES techniques for wind turbines in urban environments with and without noise mitigation techniques; the numerical results will be compared to experimental data for cross-validation.
- Generation of spectral representations of urban wind fields from LES and experimental databases for aeroelastic simulations of wind turbines
The objective is to identify appropriate LES and experimental databases of urban wind fields, and to implement a stochastic process analysis aimed at identifying representative mean wind velocity field patterns and representative crosspower spectral density functions. The results will permit the numerical generation of urban synthetic wind velocity fields
The PhD jobs will be located in Madrid, at the School of Aeronautics - Universidad Politécnica of Madrid (ETSIAE-UPM), in the Applied Mathematics department (position 1), and in the Aircraft and Space Vehicles (position 2) although short secondments to other institutions of the consortium (inside Europe) are expected.
All positions include a very competitive 3 year scholarship based on European project standards. We also offer to work in a stimulating, young and multicultural environment, and to be part of a dynamic and growing research team at ETSIAE.
Indicate clearly the reference job number: JoB_zEPHYR_(1,2) in your email.
REQUIRED EDUCATION LEVELEngineering: Master Degree or equivalentComputer science: Master Degree or equivalentMathematics: Master Degree or equivalent
REQUIRED LANGUAGESENGLISH: Good
Mandatory technical skills and experience:
Positions 1 and 2.
- Degree in engineering, aeronautics, applied mathematics or physics, or equivalent expertise: MEng or MSc grade and less than 4 years of full time research experience (entitled to enter in a PhD programme)
- Excellent computational skills and interest in CFD programming (e.g. C++, Fortran) and fluid modelling are expected
- Familiarity with finite elements and turbulence modelling is not necessary but would be an asset
- Excellent computational skills (Matlab) and interest in CFD programming (e.g. C++, Fortran) and fluid modelling are expected
- Familiarity with stochastic process theory and spectral analysis is not necessary but would be an asset
You should be highly motivated and dynamic, have good communication and analytical skills, be a stress-resistant problem solver, and be a team player able to meet the highest quality standards.
EURAXESS offer ID: 448735
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