Is the Job related to staff position within a Research Infrastructure? NoOffer Description
Development of machine learning tools to predic cardiac disease. CFD simulations.
Where to apply
E-mail: soledad.leclainche@upm.es
Requirements
- Research Field: Engineering » Aerospace engineering
- Education Level: Master Degree or equivalent
- Research Field: Mathematics
- Education Level: Bachelor Degree or equivalent
Skills/Qualifications
Communication, leadership, problem solving and interpersonal skills.
Specific Requirements
- Master in Aerospace Engineering, Mechanical Engineering, Physics or Mathematics
- 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: Excellent
Languages: SPANISH
Level: Excellent
Research Field: Engineering » Aerospace engineeringMathematics » Applied mathematicsComputer science » Modelling tools
Years of Research Experience: 1 - 4
Additional Information
Benefits
- 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.
Eligibility criteria
https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion
Se aplican las pautas establecidas en el proceso de selección del nuevo Reglamento para el proceso de selección y contratación del personal investigador, personal técnico y personal gestor relacionado con la investigación de la Universidad Politécnica de Madrid, aprobado en la UPM.
Selection process
- Application review: November 2026
- Interviews: November 2026
- Resolution: November-December 2026
Additional comments
Women are encouraged to apply for this position so that we can evaluate their candidacy.
Work Location(s)
- Number of offers available: 1
- Company/Institute: ETSI Aeronáutica y del Espacio
- Country: Spain
- State/Province: Madrid
- City: Madrid
- Postal Code: 28040
- Street: Plaza del Cardenal Cisneros, 3
Contact
