Requirements: English
Company: H-FARM
Region: Roncade , Veneto
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.
- Newtons 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 Masters 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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