Posted: October 29, 2021
The Department of Statistics at the University of Connecticut invites applications for a non-tenure track position at the level of Assistant Professor in Residence. The position is suitable for candidates who wish to pursue an academic career with an emphasis on teaching and continued growth in that direction. Normal duties include a teaching load of 21 credit hours of instruction per year or the equivalent. The successful candidate may be required to undertake significant tutoring responsibility or other administrative duties with a commensurate reduction in the teaching load.
The successful candidate will have exceptional communication skills and a strong commitment to instruction, advising, and mentoring. The incumbent will teach introductory statistics courses.
The Department is a highly active center of teaching, research, and service with local, national, and international presence. It is a founding member of the New England Statistical Society, for which it houses the administration.
Founded in 1881, UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher education and includes a main campus in Storrs, CT, four regional campuses throughout the state, and 13 Schools and Colleges, including a Law School in Hartford, and Medical and Dental Schools at the UConn Health campus in Farmington. The University has approximately 10,000 faculty and staff and 32,000 students, including nearly 24,000 undergraduates and over 8,000 graduate and professional students. UConn is a Carnegie Foundation R1 (highest research activity) institution, among the top 25 public universities in the nation. Through research, teaching, service, and outreach, UConn embraces diversity and cultivates leadership, integrity, and engaged citizenship in its students, faculty, staff, and alumni. UConn promotes the health and well-being of citizens by enhancing the social, economic, cultural, and natural environments of the state and beyond. The University serves as a beacon of academic and research excellence as well as a center for innovation and social service to communities. UConn is a leader in many scholarly, research, and innovation areas. Today, the path forward includes exciting opportunities and notable challenges. Record numbers of undergraduate applications and support for student success have enabled the University to become extraordinarily selective.
- A Ph.D. in statistics, biostatistics, or equivalent foreign degree.
- A superior record of teaching undergraduate courses, both methodological and applied.
- Experience with educational technologies like blackboard and online homework systems.
- Experience teaching and coordinating large lectures.
- Evidence of potential for inclusive excellence in teaching, and a deep commitment to promoting diversity and inclusion through their pedagogical and/or academic programs.
- Teaching experience that includes non-traditional, first-generation, and/or historically underrepresented student populations.
- Experience with grant applications for pedagogical activities.
- Involvement in online or flipped courses.
This is a full-time, 9-month, non-tenure track position that has the possibility of leading to a multi-year contract. The position has an anticipated start date of January 10, 2022. The successful candidate’s initial academic appointment will be at the Stamford campus. Salary will be commensurate with qualifications and experience.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment at the University of Connecticut is contingent upon the successful candidate’s compliance with the University’s Mandatory Workforce COVID-19 Vaccination Policy. This Policy states that all workforce members are required to have or obtain a Covid-19 vaccination as a term and condition of employment at UConn, unless an exemption or deferral has been approved.
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
Please apply online to Academic Jobs Online https://academicjobsonline.org/ajo/jobs/19417 and submit the following application materials:
- A cover letter,
- Curriculum vitae,
- Teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.);
- Commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.);
- Three (3) letters of reference, at least two of which address your teaching qualifications.
Inquiries can be addressed to the Hiring Committee at email@example.com. Review of applications will begin immediately. Full consideration will be given to applications completed and received preferably before Friday, November 12, 2021, or until the position is filled.
At the University of Connecticut, our commitment to excellence is complemented by our commitment to building a culturally diverse community.
This position will be filled subject the budgetary approval.
All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp .
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.