Position ID: | Cornell-CDSES-RAP [#18275, WDR-00021986] |
Position Title: | Assistant Research Professor |
Position Type: | Non tenure-track faculty |
Position Location: | Ithaca, New York 14850, United States [map] |
Subject Area: | Data Science / Data Science |
Appl Deadline: | 2021/05/07 11:59PM finished (2021/03/09, finished 2021/08/18, listed until 2021/09/30) |
Position Description: |
Assistant Research Professors
The Center for Data Science for Enterprise & Society at Cornell University announces a new program to recruit multiple candidates to be hired as Assistant Research Professors; these are 3-year non-tenure-track positions that are funded in part by the Center and in part by a cooperating unit at Cornell University, either at the Ithaca campus or at Cornell Tech in New York City (depending on the location of the faculty mentors). The first cohort recruited for this program will start in academic year 2021-2022. This new Center aims to unify
programs and curricula in data science with an initial emphasis on questions
grounded in data that are generated by human activity, including computational
social science (e.g., sociology and government), the economics/computer science
interface, the aspects of digital agriculture in the production and management
of agriculture, digital platforms supporting urban infrastructure (e.g., the
sharing economy), and as a theme that is cross-cutting in many of these areas,
the corresponding issues of privacy, security, and fairness. The areas
highlighted are meant to serve only as illustrative; candidates for these Research Assistant
Professorships are sought from all areas of research that either advance the state of the art
in data science, or extend the reach of data-driven research into novel
application domains. Applicants
should submit their curriculum vitae (CV) and a research statement summarizing
their accomplishments to date, as well as a diversity statement; they must also
submit a two-page description of proposed research for the period to be spent
at the Center, including a proposed primary Cornell faculty member, this can be any Cornell faculty
member, to mentor the candidate (and potentially a secondary Cornell faculty
mentor to span both some relevant area from the application domain as well as
someone from a core data science domain); two letters of recommendation and a letter
of support from the Cornell faculty mentor(s). Faculty mentors can be either on
the Ithaca campus or at Cornell Tech; however, appointments for applicants will
be at least 50% in Ithaca, and will be split between the campuses (either 50/50
or 80/20) only if at least one of the mentors is at Cornell Tech. Candidates
are expected to have completed their Ph.D. prior to the start of this position,
and to have already done substantial research in areas relevant to the Center. Application review will begin on March 29,
2021, and continue until the position has been filled. Applications should be submitted on AJO
at https://academicjobsonline.org/ajo/jobs/18275 . The Center for Data Science for Enterprise & Society embraces diversity and seeks
candidates who can contribute to a welcoming climate for students, staff and
faculty of all races and genders. We strongly encourage women and
underrepresented minorities to apply.
Diversity and Inclusion are a part of Cornell
University's heritage. We are a recognized employer and educator valuing
AA/EEO, Protected Veterans and Individuals with Disabilities. Cornell
University is an innovative Ivy League university and a great place to work.
Our inclusive community of scholars, students, and staff impart an uncommon
sense of larger purpose, and contribute creative ideas to further the
university's mission of teaching, discovery, and engagement.
Familiarize yourself with Cornell’s
COVID-19 workplace guidance
as well as the university’s COVID-19 services and information Employment Assistance: For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu. 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. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu. Please read the required Notice to Applicants statement by clicking 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, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply. Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering the following criteria:
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