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:
o Descriptive Statistics: Measures of central tendency, variability, and data visualization.
o Probability Theory: Basic probability rules, distributions, and expected values.
o Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance.
o Regression Analysis: Simple and multiple regression models and their applications.
o Bayesian Statistics & Machine Learning Foundations (if applicable).
o 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
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