PROFESSOR – MULTIVARIABLES CALCULUS (AY 25-26)
Unit: 
Location: RONCADE, Treviso, Italy
Type: Full Time
Min. Experience: Entry Level


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 Databases to teach and guide students in foundational and advanced database concepts.

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 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
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