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About IE University
IE University's School of Science & Technology brings together computer science, artificial intelligence, mathematics and engineering in a teaching model that is collaborative, active and applied. Our students build knowledge by doing, working through real problems in individual and group settings. We are looking for a practitioner-scholar in machine learning who can bring both technical depth and hands-on industry perspective to the classroom.
The role
We are hiring an adjunct professor to teach three groups across two compulsory third-year courses:
- One group of AI - Machine Learning & Analytics (6 ECTS, 30 live in-person sessions). Part of the Dual Degree in Business Administration & Data and Business Analytics (BBADBA).
- Two groups of AI - Reasoning & Problem Solving (6 ECTS, 30 live in-person sessions each). Part of the Bachelor in Computer Science and Artificial Intelligence (BCSAI).
Each course carries a teaching load of 30 sessions and a total student workload of 150 hours. All teaching is delivered in English.
AI - Machine Learning & Analytics
A "from theory to practice" course covering the foundations of modern AI. The syllabus moves from classical machine learning on tabular data (supervised and unsupervised methods, random forests, XGBoost, clustering, recommender systems) through deep learning and computer vision (fully connected and convolutional networks,
📌 Adjunct Professor (Madrid)
🏢 Ie School Of Science And Technology
📍 Madrid
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