Brooklyn, NY, 11225, USA
7 days ago
Adjunct Instructor for BE-GY 6473 Applied Math and Statistics Course, Department of Biomedical Engineering, New York University
The Department of Biomedical Engineering at the NYU Tandon School of Engineering (https://engineering.nyu.edu/academics/departments/biomedical-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 week’s lecture and lab session. More exactly, the lecture and lab date / time is every Tuesday, 6 pm – 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 instructor’s 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 students’ 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 "Apply Now" button : + Cover letter + Contact References + Current CV (emphasize on teaching experience) + Teaching statement describing experience and teaching philosophy + Sample teaching portfolio for the engineering statistics or relevant topic courses (e.g. syllabus, sample homework set, computational lab instruction, sample quizzes/exams, and course project guidance, etc.) + Recent teaching evaluations + A statement of your experience with or knowledge of inclusion, diversity, equity, and belonging efforts (https://docs.google.com/document/d/1GeEfXMud656bTvvGV78sJv9\_LBn2r0cDO1E\_dftHd7I/edit?usp=sharing) and your plans for incorporating them into your teaching and mentoring process + Names and contact information for at least two references We will review applications starting Aug 10, 2025 and will continue until we fill the position; we encourage you to submit early. Should you have any questions please contact the program directors, Dr. Xiao Ma ( xm8@nyu.edu ) and Dr. Andreas Hielscher ( ahh4614@nyu.edu ). About Us New York University (NYU) is one of the top private universities in the United States with an unparalleled network of global campuses and academic centers. NYU’s Tandon School of Engineering, located in the heart of Brooklyn, dates back to 1854, the founding year of both the New York University School of Civil Engineering and Architecture and the Brooklyn Collegiate and Polytechnic Institute. Backed by an historic commitment of $1 billion (https://www.nyu.edu/about/news-publications/news/2022/november/Tandon\_3Metrotech.html) and under the new leadership of Juan de Pablo as the University’s Executive Vice President for Global Science and Technology and Tandon’s Executive Dean, the Engineering School is entering an exciting new phase to recruit world-class faculty conducting groundbreaking basic and applied research in key areas. We are home to a community of renowned faculty and undergraduate and graduate students united in a mission to understand and create technology that powers cities, enables worldwide communication, fights climate change, and builds healthier, safer, and more equitable real and digital worlds. The school’s culture centers on encouraging rigorous, interdisciplinary collaboration and research; fostering inclusivity, entrepreneurial thinking, and diverse perspectives; and creating innovative and accessible pathways for lifelong learning in STEM. NYU Tandon is committed to substantially increase the proportion of our faculty from historically underrepresented groups in STEM and we encourage candidates from such groups to apply. We aspire to create a climate where diversity and inclusion are not only appreciated but considered an asset for creativity and innovation, and we seek faculty who have a real passion for a culturally diverse environment. We take pride in our high numbers of female students and students who are the first in their family to go to college. NYU belongs to the Higher Education Recruitment Consortium (HERC), which assists with dual-career searches, and our faculty are supported by a range of work-life balance programs provided by the NYU Office of Work Life (https://www.nyu.edu/about/leadership-university-administration/office-of-the-president/office-of-the-provost/work-life.html) . Additional Information In compliance with NYC’s Pay Transparency Act, the contact hour rate for this position is $222.27. This rate is based on the collective bargaining agreement with Local 7902. For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
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