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 B Sc ( Hons) AI &Data Science program, we are seeking a Professor in Databases to teach and guide students in foundational and advanced database concepts.

As part of our B Sc ( Hons) AI &Data Science program, we are seeking a Professor in Multivariable Calculus to teach and guide students in foundational and advanced database concepts.


•   Key Responsibilities The successful candidate will be responsible for delivering the Multivariable Calculus &Optimization course, covering both theoretical concepts and practical applications.   Key duties include: 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 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 Powered by JazzHR