Online Applied Mathematics Tutor

Job Description

Online Applied Mathematics Tutor | Varsity Tutors

The Tone:
This is a freelance tutoring position with Varsity Tutors, located remotely. Varsity Tutors operates a Live Learning Platform that aims to revolutionize education through advanced technology, AI, and cutting-edge learning science. This role is crucial for connecting skilled tutors with students nationwide to provide personalized instruction and foster academic success in applied mathematics. Tutors make a significant impact on students’ understanding, all from the comfort of their home.

The TL;DR
• Role: Freelance
• Type: Contract (Flexible Schedule)
• Location: Remote
• Pay: Up to $40 hourly
• Mission: Provide personalized, expert instruction in applied mathematics to students across the nation.
• Tech Stack: MATLAB, Python, AI-powered Tutor Copilot

What You’ll Actually Do
• Instruct: Guide students through advanced applied mathematics concepts, including differential equations, numerical methods, linear algebra applications, and mathematical modeling.
• Explain: Break down complex mathematical model construction, numerical solution algorithms, and optimization procedures for diverse student needs.
• Prepare: Ready students for real-world applications of applied mathematics in engineering, physics, finance, and computational science.
• Adapt: Customize instruction using computational tools, real-world case studies, and project-based learning to enhance student understanding.
• Support: Assist advanced undergraduates and graduate students in STEM fields, addressing common challenges like translating physical problems into mathematical formulations.

The Must-Haves
• Background: Advanced academic understanding of applied mathematics principles and their applications, capable of supporting advanced undergraduates and graduate students.
• Experience: Demonstrated experience in teaching or tutoring complex mathematical concepts, including model construction, numerical solution algorithms, and optimization procedures.
• Skills:
• Deep knowledge of differential equations, numerical methods, linear algebra applications, optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex analysis.
• Proficiency in explaining material using multiple approaches and adapting instruction to meet individual learning needs and styles.
• Familiarity with applied mathematics curricula, common student challenges, and the ability to bridge theory with practical applications.
• Strong communication skills, maintaining a friendly, engaging, and clear teaching style.
• Capability to identify concepts students commonly struggle with and guide them through problem formulation and interpretation of computational results.