CDS & Moore Sloan Faculty Fellow
The Center for Data Science (CDS) at New York University (NYU) invites applications for positions for a CDS & Moore Sloan Faculty Fellow. Building on the successes with the Moore-Sloan Fellows program, CDS has created a Faculty Fellow program to continue to develop outstanding researchers in Data Science. Alumni of the prestigious Moore-Sloan Fellowship program have secured top level academic positions or industry jobs.
CDS is the focal point for NYU’s university-wide initiative in data science and statistics, established 5 years ago, and one of the country’s leading data science research and training facilities. CDS is a vibrant space with about 15 jointly appointed faculty (growing to over 20 in the next two years) and about 10 associated faculty across computer science, mathematics, engineering, neuroscience, linguistics, politics, psychology, physics, biology and business; a list of affiliate faculty spanning a wide range of NYU’s schools and departments, a highly successful Master’s program and one of the first Data Science PhD programs. CDS’ research focuses on tools and methods at the intersection between applied mathematics, data science, high-dimensional statistics, machine learning, optimization, and several data-driven application areas.
The CDS & Moore Sloan Faculty Fellow will be expected to work at the boundaries between the data-science methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead independent, original research programs with impact in one or more scientific domains and in one or more methodological domains (computer science, statistics, and applied mathematics).
We seek outstanding interdisciplinary researchers with expertise in the methods of data science possibly with application in physical, life, or social science. The program recognizes that rapid advances in our ability to acquire and generate data are transforming all fields of discovery from data-poor to data-rich. A significant bottleneck to discovery is our ability to perform inference over heterogeneous, noisy, and often massive datasets. Successful candidates will bring a research agenda that can take advantage of the unique intellectual opportunities afforded by NYU, and will have experience in working with researchers across different fields.
This is a full-time non-tenure position, with a light teaching load of one (1) CDS course per year as the primary instructor. You will also be expected to participate in service activities of the Center for Data Science (such as helping review admissions applications, committee work, etc.).
Appointments will be for two years, with potential for a 1-year re-appointment pending satisfactory review and funding. Fellows will be offered competitive salary and benefits, with funds to support research and travel. A start date of September 1, 2019 is the date envisaged.
How to Apply
Applicants must possess a doctorate degree. Please submit your curriculum vitae, list of publications, and a brief statement of research interests (no longer than 4 pages) to the following application page: https://apply.interfolio.com/57605.
The statement of research interests should mention the names of one or more faculty members associated with the NYU Center for Data Science who would have substantial intellectual overlap with the applicant’s interests and likely program of research. More information about relevant faculty members can be found at https://cds.nyu.edu/our-people.
Applicants should also arrange to have three letters of recommendation (to be submitted by the reference writers) by this date.
Applications received by 23 December, 2018 will receive full consideration.
Equal Opportunity Statement
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New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.