HRS2024/421 Research Assistant or Postdoctoral Research
Offer DescriptionDevelopment of machine learning tools applied to identify patterns in complex flows. Accelerate CFD codes in fluid mechanics problems.Where to apply E-mailsoledad.leclainche@upm.esRequirementsResearch Field Engineering » Aerospace engineering Education Level Bachelor Degree or equivalentResearch Field Mathematics » Applied mathematics Education Level Bachelor Degree or equivalentSkills/QualificationsCommunication, leadership, problem solving and interpersonal skills.Specific Requirements– Degree in Aerospace Engineering or Mathematics
– This is a plus: Master Degree in Aerospace Engineering or Master in Industrial Mathematics or PhD in Engineering
– High level of programming in Matlab, Python and Tensorflow.- High level knowledge of fluid mechanics, machine learning and modal decomposition algorithms.
– High level knowledge of data analysis algorithms in fluid mechanics.
– High level knowledge of reduced modeling techniques applied to accelerate CFD codes.
– Experience close to the research field. Previous publications and conference presentations will be valued.
– Experience with CFD solvers.Languages ENGLISH Level ExcellentLanguages SPANISH Level ExcellentResearch Field Engineering » Aerospace engineeringMathematics » Applied mathematicsComputer science » Modelling tools Years of Research Experience 1 – 4Additional InformationBenefits– Integration in a research group formed by several doctoral students with a wide network of national and international contacts in academia and industry.
– International collaboration- Teamwork to develop a research problem (learning through research).
– Development of leadership skills, improvement of presentation and communication skills.
– Development of technical skills related to machine learning, large database analysis, CFD and industrial problem solving related to the field of aeronautical engineering.
Madrid
Sat, 05 Oct 2024 04:50:54 GMT
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