Researcher for Predictive Models in Aerospace Composites
hace 5 días
At Fundación IMDEA Materiales, we are a leading technology hub in the aerospace sector, specializing in structural composites for lightweight applications. Our research focuses on the intelligent manufacture of pre-impregnated materials and the development of predictive models using artificial intelligence to ensure quality control.
About the RoleWe seek an exceptional researcher to join our team in developing predictive models for prepreg material quality control. The ideal candidate will have expertise in machine learning, Python programming, and knowledge of mechanics and material science. This role offers a unique opportunity to work in a mixed academic/entrepreneurial environment.
Key Responsibilities- Develop predictive models for prepreg material quality control using artificial intelligence techniques
- Collaborate with the research team to integrate sensor data from manufacturing processes
- Conduct physico-chemical characterisation tests to validate model predictions
- MSc in Mechanical Engineering, Materials Science, or Data Science
- Excellent knowledge of machine learning and Python programming
- Familiarity with mechanics and material science principles
- Excellent English language skills (C1 level)
- A competitive salary: €35,000 per annum
- A stimulating working environment with opportunities for growth and professional development
- A diverse and inclusive workplace with equal opportunities for all employees
- The chance to work on cutting-edge projects in the aerospace sector
We are committed to training our staff in both technical and soft skills. Our Institute is committed to equal opportunities, diversity, and promoting a healthy work-life balance. We encourage female applicants to apply.
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