Internship: CV Data Analysis - Flexible & RealWorld Imagery

GMV; Tres Cantos; Presencial; EUR 6700 - 10.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedule

Path to full-time opportunity

Study support

Free fruit and coffee

Team activities

Descripción de la vacante

GMV in Tres Cantos, Madrid is offering an internship in Database Analysis for Computer Vision. You will work with aerial image datasets to compare synthetic and real images, analyze differences, and define metrics under supervision.

Ideal candidates are pursuing a Bachelor’s or Master’s in a related field and have interest in image processing, computer vision and data analysis. English proficiency and knowledge of Python, NumPy, Pandas, Matplotlib, and Linux are valued.

Formación

• Pursuing a Bachelor’s or Master’s degree in Aerospace Engineering, Robotics, Computer Science, Telecommunications, Mathematics, Physics, Data Science or related field.
• Interest in image processing, computer vision and data analysis.
• Knowledge of statistics and experimental data analysis is valued.
• Experience or familiarity with Python, NumPy, Pandas, Matplotlib and Linux environments.
• Good level of written and spoken English.

Responsabilidades

• Analyze differences between synthetic aerial images generated from orthophotos and real UAV images, and quantify the reality gap.
• Work with aerial image datasets to compare synthetic and real images and define relevant metrics.
• Perform statistical analyses to interpret experimental results.

Descripción del empleo

GMV in Tres Cantos, Madrid is offering an internship in Database Analysis for Computer Vision. You will work with aerial image datasets to compare synthetic and real images, analyze differences, and define metrics under supervision.

Ideal candidates are pursuing a Bachelor’s or Master’s in a related field and have interest in image processing, computer vision and data analysis. English proficiency and knowledge of Python, NumPy, Pandas, Matplotlib, and Linux are valued.