PROFESSOR – FUNDAMENTALS OF STATISTICS (AY 25-26) 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. As part of our BSc (Hons) AI & Data Science program, we are seeking a Professor in Fundamentals of Statistics to teach and guide students in foundational and advanced database concepts. Key Responsibilities Delivering engaging lectures and interactive workshops on: Descriptive Statistics: Measures of central tendency, variability, and data visualization. Probability Theory: Basic probability rules, distributions, and expected values. Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance. Regression Analysis: Simple and multiple regression models and their applications. Bayesian Statistics & Machine Learning Foundations (if applicable). Real-world Applications: Case studies in business, finance, healthcare, and data science. Teaching students how to apply statistical methods using software such as R, Python, or Excel. Supervising student coursework, including problem-solving assignments and data-driven projects. Encouraging critical thinking and problem-solving in data analysis. Collaborating with faculty to align statistical concepts with AI, data science, and business programs. Qualifications & Experience B2 or C1 English Level A Master’s or Ph.D. in Statistics, Mathematics, Data Science, or a related field. Strong expertise in probability, inferential statistics, and statistical computing. Experience in teaching at the university level (preferred). Industry experience in data analytics, AI, business intelligence, or finance is a plus. Proficiency in statistical software (R, Python, SPSS, Stata, or similar tools). Excellent analytical, communication, and mentoring skills. Seniority level : Entry level Employment type : Full-time Job function : Education and Training Industries : Internet Publishing J-18808-Ljbffr