TAREAS/TASKS:

Development of machine learning tools. Depending on the project selected: PROJECT 1: Machine learning applied to solve aerospace engineering problems. Collaboration with Boeing (workprogramme and project defined by Boeing). PROJECT 2: Machine learning to identify patterns in complex problems. TBD: Project management tasks.

HABILIDADES-CUALIFICACIONES/SKILLS-QUALIFICATIONS: 

Communication, leadership, problem solving and interpersonal skills.

REQUERIMIENTOS ESPECIFICOS/SPECIFIC REQUIREMENTS:

- Degree in Aerospace Engineering, 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.

BENEFICIOS/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. 

CRITERIOS Y PROCESO DE SELECCION/ELIGIBILITY CRITERIA AND SELECTION PROCESS:

- Application review: July/August 2024- Interviews: July/August 2024 - Resolution: before 15 September 2024

COMENTARIOS ADICIONALES/ADDITIONAL COMMENTS:

Women are encouraged to apply for this position so that we can evaluate their candidacy.