PROFESSOR – MULTIVARIABLES CALCULUS (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.As part of our BSc (Hons) AI Data Science program, we are seeking a Professor in Multivariable Calculus to teach and guide students in foundational and advanced calculus concepts.Key Responsibilities:Delivering engaging lectures and hands-on workshops on:Introduction to Optimization: Definitions, types of optimization problems, and real-world applications.Gradient Descent: Using gradients to find function minima/maxima and understanding learning rates.Newton’s Method: Utilizing the Hessian matrix for optimization and comparing it with gradient descent.Constrained Optimization: Solving problems with constraints using Lagrange multipliers and other methods.Convex Optimization: Understanding convexity and exploring convex optimization algorithms.Applications in Computer Science: Optimization in network flows, shortest path problems, and machine learning.Integrating real-world examples and case studies relevant to AI, data science, and engineering.Supervising student coursework, including problem-solving assignments and applied optimization projects.Encouraging critical thinking and problem-solving in mathematical modeling.Collaborating with faculty to ensure alignment with AI, data science, and technology programs.Qualifications Experience:B2 or C1 English Language proficiency.A Master’s or Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field.Strong expertise in calculus, optimization techniques, and their applications in computer science.Experience in teaching at the university level (preferred).Industry experience in AI, data science, machine learning, or operations research is a plus.Excellent analytical, problem-solving, and communication skills.
#J-18808-Ljbffr