الصفحة الرئيسية قطر Visiting Lecturer in The Department of Statistics and Data Science

الصفحة الرئيسية قطر Visiting Lecturer in The Department of Statistics and Data Science

Visiting Lecturer in The Department of Statistics and Data Science

دوام كامل في a Laimoon Verified Company في Qatar
نُشرت يوم November 4, 2024

تفاصيل الوظيفة

Visiting Lecturer in The Department of Statistics and Data ScienceThe Department of Statistics and Data Science seeks applicants to fill a position at the rank of Visiting Lecturer to begin Fall 2024. This VL will teach on-campus courses in the Professional Masters in Applied Statistics & Data Science and Undergraduate programs with an emphasis in data science, statistics, R programming, and machine learning. Teaching responsibilities include holding office hours, developing syllabi, assignments, writing and grading exams, supervising teaching assistants, and maintaining a course website. Other duties may be assigned by the chair as necessary. The initial appointments are for a term of three years, with contract renewal contingent upon satisfactory performance.

Preference will be given to applicants with prior experience developing course materials (videos, quizzes, etc.) suitable for building active learning initiatives in virtual and in-person classrooms. The ideal candidate will assist in the development of online introductory statistics content. The successful applicants will be fluent in advanced data wrangling techniques in R and be prepared to teach and develop data science courses including advanced graphics, statistical methods, regression, statistical learning, data mining, and machine learning.

Additional responsibilities may include coordinating multi-section courses, supervising teaching assistants, serving on committees, supporting growth in the university's data science degree offerings, and advising data science students at the undergraduate and master's levels. A PhD in statistics, applied mathematics, or a related field is required.

Fostering an inclusive environment is a core value of the Statistics and Data Science Department and Cornell as a whole. In line with Cornell's historical commitment to educating "... any person … in any study…", we seek candidates who will create a climate that helps attract and is inclusive of all students, including students from historically underrepresented groups and students who have overcome personal challenges.

We strongly encourage women and individuals from underrepresented and/or marginalized identities to apply. Cornell University seeks to meet the needs of dual career couples, has a Dual Career program, and is a member of the Upstate New York Higher Education Recruitment Consortium to assist with dual career searches.

For questions, please contact:

Megan Adams

Assistant to the Chair | Statistics and Data Science

mls99@cornell.edu

Pay Range:The hiring rate of pay for the successful candidate will be determined considering the following criteria:

Prior relevant work or industry experience.

Education level to the extent education is relevant to the position.

Academic Discipline (faculty pay ranges reflect 9-month annual salary).

Unique applicable skills.

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.

Notice to Applicants:Please read the required Notice to Applicants statement byclicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic.#J-18808-Ljbffr

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