- JOB
- Spain
Job Information
- Organisation/Company
- UNIVERSIDAD POLITECNICA DE MADRID
- Department
- HRS4R
- Research Field
- Engineering » Aerospace engineering
- Researcher Profile
- First Stage Researcher (R1)
- Positions
- Bachelor Positions
- 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 a 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.
Where to apply
- soledad.leclainche@upm.es
Requirements
- Research Field
- Engineering » Aerospace engineering
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Engineering » Mechanical engineering
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Mathematics » Applied mathematics
- Education Level
- Bachelor Degree or equivalent
Skills/Qualifications
Communication, leadership, problem solving and interpersonal skills.
Specific Requirements
- Degree in Aerospace or Mechanical Engineering or Mathematics
- This is a plus: Master Degree in Aerospace or Mechanical 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 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.
Selection process
- Interview: until 20th January 2025
- Resolution: before 25th February 2025
Additional comments
Women are encouraged to apply for this position so that we can evaluate their candidacy.
Work Location(s)
- Number of offers available
- 2
- Company/Institute
- Matemática Aplicada a la Ingeniería Aeroespacial/Mathematics Applied to Aerospace Engineering
- Country
- Spain
- State/Province
- Madrid
- City
- Madrid
- Postal Code
- 28040
- Street
- Plaza Cardenal Cisneros, 3
- Geofield
Contact
- State/Province
- Madrid
- City
- Madrid
- Website
- Street
- C/ Ramiro de Maeztu, 7
- Postal Code
- 28040
- soledad.leclainche@upm.es