H-farm college | neural networks professor

PpJoin 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: /p ul liYour experience. /li liAn innovative approach to learning. /li liJoy. Our teachers are professional and internationally-minded, but we are all committed to having fun at work. /li /ul pOur 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. /p pWe are seeking an experienced and passionate lecturer to teach the course bNeural Networks /b within our Bachelor’s degree in bArtificial Intelligence Data Science /b. /p pThe 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: /p ul liUnderstand the history, evolution, architecture, and applications of neural networks /li liDevelop proficiency in designing and implementing multilayer perceptron (MLP) networks /li liDesign, train, and deploy convolutional neural networks (CNNs) and recurrent neural networks (RNNs) /li liApply neural network techniques to real‑world business and technological challenges /li /ul pThe position is a collaboration based at the bH‑FARM Campus in Roncade (TV), Italy /b. /p h3Qualifications Experience /h3 ul liPhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related field /li liDemonstrated teaching experience at university level and/or significant industry experience in AI and machine learning /li liStrong expertise in neural networks and deep learning methodologies /li liExperience with Python and leading machine learning frameworks such as TensorFlow, Keras, or PyTorch /li liExcellent communication and presentation skills /li liB2/C1 level of English (teaching language) /li /ul h3Key Responsibilities /h3 ul liDeliver engaging lectures and practical sessions /li liPrepare teaching materials and learning resources /li liDesign and grade assessments in line with programme requirements /li liSupport students through office hours and academic guidance /li liParticipate in assessment moderation and quality assurance processes when required /li /ul h3What We Offer /h3 ul liThe opportunity to teach in an international and innovative academic environment /li liA dynamic campus at the intersection of education, technology, and entrepreneurship /li liCollaboration with a diverse faculty and marketing professionals /li liThe chance to shape the next generation of marketing leaders with a strong data‑driven mindset /li /ul /p #J-18808-Ljbffr