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 ResponsibilitiesDelivering 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 ExperienceB2 or C1 English LevelA 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 levelEmployment type: Full-timeJob function: Education and TrainingIndustries: Internet Publishing
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