H-FARM College | Neural Networks Professor
Pubblicato il 01-08-2026 - H-Farm in Roncade
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:
- 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)
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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