7 publicaciones de empleo destacadas de machine learning en cedillo del condado toledo provincia (¡Están contratando!)

Robust industrial defect identification, classification and quantification using low resolution non-destructive inspection techniques for automated digital shadowing
Fidamc —Getafe, Madrid provincia
- Jornada completa
- Doctorado
- Inglés
- Investigación
Solicitud rápida
8d
Head of Planning & Inventory
PRIM, S.A. —Móstoles, Madrid provincia
- Microsoft Excel
- Sistemas ERP
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Head of Planning & Inventory
Prim —Móstoles, Madrid provincia
- Microsoft Excel
- Sistemas ERP
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Finance Business Analyst Consultant
Devoteam Spain —La Moraleja, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Oficina
- AWS
Solicitud rápida
Data Scientist
Kapsch TrafficCom Transportation S.A.U. —La Moraleja, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Solicitud rápida
6d
Big Data Architect
Solera —La Moraleja, Madrid provincia
- Desde 40.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
Senior Data Platform / Data Engineer
Straumann Group —La Moraleja, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python

Discover related jobs

Based on your search for machine learning jobs.

Data Scientist_IA_BO Public Sector_Madrid
Deloitte —Madrid, Madrid provincia
We are looking for a profile with strong analytical capabilities, excellent communication skills, and the ability to collaborate effectively in diverse and…
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
BIP - Business Integration Partners —Madrid, Madrid provincia
Projects may range from building data pipelines and analytical foundations in Databricks, to implementing RAG architectures, adapting LLMs to specific business…

Quiero recibir la alerta de empleo más reciente de machine learning en cedillo del condado toledo provincia

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

machine learning jobs near cedillo del condado toledo provincia

Empleos de Data Scientist en Barcelona, Barcelona Provincia

Empleos de Freelance Data en Madrid, Madrid Provincia

Empleos de Data Scientist en 29001 Málaga, Málaga Provincia

Empleos de Big Data en Navalcarnero, Madrid Provincia

Empleos de Data Entry en Madrid, Madrid Provincia

Empleos de Data Scientist en 28300 Aranjuez, Madrid Provincia

Empleos de Data Scientist en Yuncos, Toledo Provincia

Empleos de Product Manager en La Llacuna, Barcelona Provincia

Empleos de Manager en Vitoria Gasteiz, Álava Provincia

Empleos de Product Manager en Igorre, Vizcaya Provincia

Empleos de Product Manager en Ceuti, Murcia Provincia

Empleos de Product Manager en Vall De Bianya, Girona Provincia

Empleos de Community Manager en Stadium Fc Barcelona, Barcelona Provincia

Empleos de Trade Marketing Manager en Madrid, Madrid Provincia

Empleos de Big Data Architect en Remoto, España

Empleos de Data en Guipúzcoa Provincia

Empleos de Practicas Data Science en Madrid, Madrid Provincia

Empleos de Data Analyst en Spain Remote

Empleos de Big Data Architect en 41005 Sevilla, Sevilla Provincia

Empleos de Big Data Architect en Barcelona, Barcelona Provincia

Robust industrial defect identification, classification and quantification using low resolution non-destructive inspection techniques for automated digital shadowing

Fidamc -
Getafe, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa | Contrato temporal
Hace 8 días

Cualificaciones

Doctorado
Inglés
Investigación
Máster
Machine learning
Escalabilidad
Manufactura

Descripción completa del empleo

DESCRIPTION

The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on coupled high-resolution and low-resolution non-destructive inspection data (XRM and industrial ultrasonic imaging data). The successful candidate will develop scientific concepts and communicate research results through scientific publications and presentations at international conferences. The candidate will collaborate closely with fellow doctoral candidates within the LEGEND network, exploiting synergies across projects, and will actively participate in General Assembly meetings, training events, and international secondments across Europe. The research will focus on improving industrial non-destructive inspection techniques, developing deep-learning based tools for automated defect characterisation, and contributing to the generation of accurate digital shadows for composite structures.

Key Responsibilities

Develop ML and deep-learning based tools for automated identification, classification and quantification of defects from low-resolution non-destructive inspection data.
Train and validate models using coupled high-resolution (XRM) and industrial ultrasonic imaging datasets.
Assess and improve the robustness of industrial low-resolution NDI techniques for composite structures.
Evaluate the accuracy and scalability of automated defect characterisation methods for aerospace composite components.
Publish research findings in scientific journals and present results at international conferences.
Collaborate with researchers, industrial partners, and fellow doctoral candidates within the LEGEND consortium.
Participate in doctoral training activities, consortium meetings, and international secondments at partner organisations.

REQUIREMENTS

Master’s degree (or equivalent qualification giving access to doctoral studies) in Engineering (Industrial, Aerospace, Materials Engineering), Physics, or a related field, obtained before the recruitment date.
Eligibility for admission to the Doctoral Programme in Technology at the University of Girona, including the academic requirements for doctoral studies (normally at least 300 ECTS in total, including 60 ECTS at Master's level).
Must not already hold a doctoral degree (PhD).
Compliance with the MSCA mobility rule: applicants must not have resided, worked, or studied in Spain for more than 12 months during the 36 months immediately prior to recruitment.
Sufficient written and spoken English proficiency to conduct research, participate in international training activities and secondments, and communicate scientific results.
At the time of incorporation, candidates must provide proof of enrolment or admission to a doctoral programme for the 2026/2027 academic year.

Preferred qualifications

Documented knowledge, coursework, or thesis experience in ultrasonics, composite manufacturing, or non-destructive testing (NDT/NDI).
Strong interest and skills in ultrasonics, composite manufacturing, and non-destructive testing methods.

Specific experience prioritised for DC2

Documented knowledge (through education, courses, or thesis projects) in ultrasonics, composite manufacturing, or non-destructive testing.

Solicitud rápida

Refina tu búsqueda

machine learning empleos en cedillo del condado toledo provincia

Robust industrial defect identification, classification and quantification using low resolution non-destructive inspection techniques for automated digital shadowing

Head of Planning & Inventory

Head of Planning & Inventory

Finance Business Analyst Consultant

Data Scientist

Big Data Architect

Senior Data Platform / Data Engineer

Discover related jobs

Quiero recibir la alerta de empleo más reciente de machine learning en cedillo del condado toledo provincia

Explorar empleos en más ubicaciones

Key Responsibilities

Preferred qualifications

Specific experience prioritised for DC2

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión