Job Information
- Organisation/Company
- UNIVERSIDAD POLITECNICA DE MADRID
- Department
- Engineering - Aerospace engineering
- Research Field
- Engineering » Aerospace engineering
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Spain
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 37,5
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Development of machine learning tools applied to identify patterns in complex flows. Accelerate CFD codes in fluid mechanics problems.
Requirements
- Research Field
- Engineering » Other
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Mathematics » Other
- Education Level
- Bachelor Degree or equivalent
Communication, leadership, problem solving and interpersonal skills.
- 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
- Excellent
- Languages
- SPANISH
- Level
- Excellent
- Research Field
- Engineering » Aerospace engineering
- Years of Research Experience
- 1 - 4
- Research Field
- Mathematics » Applied mathematics
- Years of Research Experience
- 1 - 4
- Research Field
- Computer science » Modelling tools
- Years of Research Experience
- 1 - 4
Additional Information
- 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.
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.
- Application review: from 29 April-10 May, 2024
- Interviews: until 20 May 2024
- Resolution: before 1 June 2024
- Claims: from 1-3 June 2024
Women are encouraged to apply for this position so that we can evaluate their candidacy.
- Website for additional job details
Work Location(s)
- Number of offers available
- 4
- Company/Institute
- E.T.S. de Ingeniería Aeronáutica y del Espacio
- Country
- Spain
- State/Province
- Madrid
- City
- Madrid
- Postal Code
- 28040
- Street
- Plaza Cardenal Cisneros 3
- Geofield
Where to apply
- soledad.leclainche@upm.es
Contact
- State/Province
- Madrid
- City
- Madrid
- Website
- Street
- C/ Ramiro de Maeztu, 7
- Postal Code
- 28040
- soledad.leclainche@upm.es