HRS2026/439 Investigador predoctoral

Hace 2 días

Madrid, Comunidad de Madrid, España UNIVERSIDAD POLITECNICA DE MADRID Jornada completa

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Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 3 Nov 2026
- 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 21 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos.
Offer DescriptionDevelopment of machine learning tools to predic cardiac disease. CFD simulations.
RequirementsResearch Field Engineering » Aerospace engineering Education Level Master Degree or equivalentResearch Field Mathematics Education Level Bachelor Degree or equivalentSkills/QualificationsCommunication, leadership, problem solving and interpersonal skills.
Specific RequirementsMaster in Aerospace Engineering, Mechanical Engineering, Physics or MathematicsHigh 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 InformationIntegration 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. xqbhyrx Additional commentsWomen are encouraged to apply for this position so that we can evaluate their candidacy.#J-18808-Ljbffr

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