Adjunct Professor of Machine Learning
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IE University - School of Science & Technology
Location: Madrid / Segovia (on-campus, live in-person teaching)
Contract: Adjunct / part-time faculty (per-course)
English
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. We are hiring an adjunct professor to teach three groups across two compulsory third-year courses:
Part of the Dual Degree in Business Administration & Data and Business Analytics (BBADBA).
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.
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, transfer learning, generative models such as autoencoders, GANs and diffusion) to natural language processing and LLMs (transformers, prompt engineering, API integration, Gradio, LangChain). Teaching is hands-on, built around Jupyter notebooks, Python (scikit-learn, TensorFlow/Keras), Kaggle competitions and a group project.
An introductory course to the foundations of AI: intelligent agents, problem solving and search (uninformed, informed and local search), search in complex and non-deterministic environments, adversarial search and games (minimax, alpha-beta, Monte Carlo Tree Search, game theory),



constraint satisfaction problems, knowledge representation and reasoning (logical agents, first-order logic, planning), reasoning under uncertainty, probabilistic programming, and reasoning in LLMs. Students implement search algorithms, CSP solvers and game-playing agents in Python through individual and group assignments.
Deliver live in-person lectures and coding sessions for the three assigned groups, following the established course syllabi.
Prepare and run practical assignments, in-class exercises and Jupyter-notebook demonstrations.
Set, supervise and grade assignments, quizzes, exams and group projects in line with each course's evaluation criteria.
Provide student guidance and hold office hours on request.
Uphold IE University's attendance, academic integrity and ethics policies.
PhD (or near completion) in computer science, artificial intelligence, mathematics, statistics, physics or a closely related field. Proficient in Python and its ecosystem (scikit-learn, TensorFlow/Keras, pandas, and standard AI/ML libraries).
Full professional fluency in English.
Industry or applied research experience in AI/ML that can be brought into the classroom.
Prior university teaching experience, ideally in an active, project-based environment.
Experience supervising student projects delivered as working code (e.g. GitHub repositories).
The opportunity to teach at one of Europe's leading innovation-focused universities.
Versátil, per-course adjunct engagement that fits alongside professional or research commitments.
Please submit a CV, a short statement of teaching interest, and (if available) evidence of teaching effectiveness to the School of Science & Technology. IE University is committed to diversity and equal opportunity. xqbhyrx xbhjioe We welcome applications from all qualified candidates regardless of background.

📌 Teacher Needed (Madrid)
🏢 Ie School Of Science And Technology
📍 Madrid