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Client:
H-FARM S.p.A
Location:
Job Category:
Education
EU work permit required:
Yes
Job Reference:
96389865a6bd
Job Views:
4
Posted:
22.03.2025
Expiry Date:
06.05.2025
Job Description:
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.
As part of our BSc Management and Data Science program, we are seeking a Professor in Machine Learning to teach and guide students in foundational and advanced database concepts.
Key Responsibilities:
* The successful candidate will be responsible for delivering the Machine Learning course, covering both theoretical principles and practical applications.
* Delivering engaging lectures and interactive workshops on:
o Linear Regression: OLS, regularization, and linear classifiers.
o Probabilistic Methods: Bayesian approaches.
o Classification Techniques: Logistic regression, multi-class logistic regression, ranking support vector machines.
o Clustering: k-means and soft k-means.
o Ensemble Methods: Random forest and AdaBoost.
o Neural Networks: Including convolutional neural networks (CNNs).
o Feature Selection and Dimensionality Reduction: PCA, latent factor models.
o Autoencoders and deep learning architectures.
o Model Evaluation and Selection: Performance metrics, validation techniques.
* Guiding students through practical machine learning projects, ensuring industry relevance.
* Integrating real-world case studies into the curriculum.
* Assessing students including assignments and final projects.
Qualifications & Experience:
B2 or C1 English Level
A Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Strong expertise in machine learning algorithms, neural networks, and probabilistic models.
Proficiency in programming languages such as Python, R, or MATLAB, and frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience in teaching at the university level (preferred).
Industry experience in data science, AI, or applied machine learning is a plus.
Strong analytical, problem-solving, and mentoring skills.
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