H-FARM College | Neural Networks Professor

Position: H-FARM College |  Neural Networks Professor
Location: 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 Tensor Flow, Keras, or Py Torch

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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