Join our College team! We are the largest innovation hub in Europe, but we are also a College. We are looking to expand our brilliant teaching team and we want you to discover how lovely it can be to work in a place that values and promotes:
Se pensa di essere il profilo ideale per la seguente opportunità, si candidi dopo aver letto la descrizione completa.
Your experience.
An innovative approach to learning.
Joy. Our teachers are professional and internationally-minded, but we are all committed to having fun at work.
Our campus is based in beautiful bucolic surroundings near Venice and Treviso. It is a vibrant campus that caters to both day and boarding students and which is constantly seeking to improve its already world-class facilities.
We are seeking an experienced and passionate lecturer to teach the course Neural Networks within our Bachelor’s degree in Artificial Intelligence & Data Science.
The course aims to provide students with both the theoretical foundations and practical skills required to design, implement, and evaluate modern neural network architectures. Students will explore the evolution of neural networks, develop hands‑on experience with deep learning models, and critically examine current research topics in the field. The successful candidate will guide students to:
Understand the history, evolution, architecture, and applications of neural networks
Develop proficiency in designing and implementing multilayer perceptron (MLP) networks
Design, train, and deploy convolutional neural networks (CNNs) and recurrent neural networks (RNNs)
Apply neural network techniques to real‑world business and technological challenges
The position is a collaboration based at the H‑FARM Campus in Roncade (TV), Italy.
Qualifications & Experience
PhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related field
Demonstrated teaching experience at university level and/or significant industry experience in AI and machine learning
Strong expertise in neural networks and deep learning methodologies
Experience with Python and leading machine learning frameworks such as TensorFlow, Keras, or PyTorch
Excellent communication and presentation skills
B2/C1 level of English (teaching language) xjrgpwk
Key Responsibilities
Deliver engaging lectures and practical sessions
Prepare teaching materials and learning resources
Design and grade assessments in line with programme requirements
Support students through office hours and academic guidance
Participate in assessment moderation and quality assurance processes when required
What We Offer
The opportunity to teach in an international and innovative academic environment
A dynamic campus at the intersection of education, technology, and entrepreneurship
Collaboration with a diverse faculty and marketing professionals
The chance to shape the next generation of marketing leaders with a strong data‑driven mindset
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