Adjunct Instructor for BE-GY 6473 Applied Math and ...

The Department of Biomedical Engineering at the NYU Tandon School of Engineering ( invites applications for part-time, non-tenured instructors of BE-GY 6473 Applied Math and Statistics for Biomedical Engineering course in Fall 2025 semester, with a start date of September 2, 2025 , and an end date of December 21, 2025 . The Department of Biomedical Engineering at the NYU Tandon manages the graduate level course BE-GY 6473 Applied Math and Statistics for Biomedical Engineering, which provides a foundation for understanding and applying statistical methods to analyze biological and medical data. Topics covered include data visualization, descriptive statistics, random behavior modeling, normal distribution, statistical inference, analysis of variance, regression analysis, correlation analysis, non-parametric statistics, and survival analysis. The course includes hands-on computer lab sections for practical application of these techniques to real biological and medical datasets. By the end of this course, students should be able to understand and apply various statistical methods for data summarization and visualization in biological and medical contexts, choose appropriate statistical techniques for estimation, hypothesis testing, regression, and analysis of variance, select the correct statistical method based on data type and study design, and utilize statistical software tools to analyze, describe, and display data effectively. A typical teaching load is 37.5 hours for the whole semester, which includes 14 lectures + computer labs (2.5 hours for each weeku2019s lecture and lab session. More exactly, the lecture and lab date / time is every Tuesday, 6 pm u2013 8:30 pm), and 1 final exam section (2.5 hours). We presently seek an adjunct instructor who is eager to provide a solid foundation for our BME graduate students upon understanding and applying statistical methods to analyze biological and medical data in this BE-GY 6473 Applied Math and Statistics for Biomedical Engineering course . The adjunct instructoru2019s primary responsibility will be teaching. The responsibility is fulfilled by: + Delivering the lecture and supervising the lab session every week + Evaluating individual assignments and group-based lab reports, and send back feedbacks to students in time (typically within a week period) + Grading quizzes and exam(s) in time (typically within a week period) + Constructing a course project and arranging the key steps well for students to follow up and complete the project + Answering studentsu2019 questions relevant to course content, assignments, labs, and course project in time We invite applicants with expertise in relevant engineering or science fields. Applicants should ideally fulfill the following qualified requirements: + Ph.D. in engineering, STEM, or related fields + A documented record of university teaching in graduate level engineering statistics courses. + Prior experience in course instruction, student supervision or tutoring on graduate level engineering statistics courses with excellent student evaluation ratings. + Proficiency in engineering statistical key concepts, principles, and methods, such as data visualization, descriptive statistics, random behavior modeling, normal distribution, statistical inference, analysis of variance, regression analysis, correlation analysis, non-parametric statistics, and survival analysis + Profound knowledge and experience in the application of engineering statistics towards biomedical engineering fields. Please submit the following materials electronically through the

Created: 2025-12-04