Engineering Applications Tutor, Virtual Probability, Statistics

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct virtual meetings with the student twice a week, adhering to a consistent evening schedule.

• Review forthcoming course materials to ensure the student is well-acquainted with the concepts prior to each lecture.

• Simplify mathematically intricate topics into clear, sequential steps while upholding academic rigor.

• Solve representative problems and course assignments to enhance problem-solving skills.

• Relate principles of probability and statistics to engineering applications in civil, mechanical, chemical, biomedical, and electrical fields.

• Identify and address gaps in prerequisite mathematics or statistics knowledge.

• Assist in preparation for homework assignments, midterms, and the comprehensive final exam.

• Collaborate directly with the student on scheduling, priorities, and session focus.

• Modify session frequency as necessary around assessment periods.

• Instruct on graduate-level applied probability, statistics, Monte Carlo simulation, uncertainty quantification, and reliability-based engineering design.

⛳️ Requirements

• Must have completed graduate-level courses in probability and mathematical statistics, or have experience teaching the subject.

• Experience with reliability analysis, including limit state functions, reliability index, and first- and second-order reliability methods is essential.

• Ability to derive and manipulate distributions of functions of random variables.

• Experience in building or executing Monte Carlo simulations for uncertainty quantification.

• Proficiency in parameter estimation, regression, and correlated random variables at a graduate statistics level.

• Capability to read assigned problem sets or textbook sections and work through them independently without extensive preparation.

• Previous teaching or tutoring experience in quantitative subjects at the graduate or advanced undergraduate level.

• Availability during Central time evenings, with the ability to start immediately and maintain a consistent schedule through the end of the fall semester.

• A current background check is required; Thrive will assist with this process.

• Must provide verifiable references from past teaching, tutoring, or academic positions.

• Strong professionalism, reliability, discretion, and communication skills are necessary.

• A PhD or PhD candidacy in statistics, applied mathematics, reliability engineering, or a related quantitative discipline is preferred.

• Previous experience as a teaching assistant or instructor for a probability, statistics, or reliability course is preferred.

• Direct experience in structural or system reliability, risk analysis, or uncertainty quantification, whether in research or industry, is preferred.

• Familiarity with Python, R, or MATLAB is preferred.

• Experience with virtual tutoring, utilizing a tablet or similar setup for on-screen mathematics is preferred.

• Knowledge of Vanderbilt's graduate engineering curriculum or a similar program is preferred.

🏝️ Benefits

• Competitive compensation, with potential for rate increases based on experience, performance, and continued collaboration with Thrive.

• A consistent weekly schedule throughout the fall semester.

• Opportunities for additional placements with Thrive based on availability and compatibility.

• Increased session frequency available around midterms and the cumulative final exam.

• Personalized matching with students.

• A dedicated placement coordinator to assist throughout the hiring process.

• Access to Thrive's educator network and resources.

• Continuous placement opportunities with Thrive Education Partners.

• The flexibility of virtual work with evening scheduling options.

• Direct collaboration with the student regarding scheduling and priorities.