Moore-Sloan Funding of Postdoctoral Researchers in Data Science
A limited number of two-year postdoctoral research positions will become available during the 2014-2015 academic year. These will be funded by the Moore-Sloan Data Sciences Environment, and are designed to attach excellent and accomplished young data scientists to ongoing research programs at NYU.
Applications are now sought for such positions from the principal investigators of existing research projects. These should be sent to ds-jobs-group@nyu.edu, no later than 7 November 2014 [there may be a second deadline in AY 2014-2015, subject to available funding], and should comprise:
- 1-1.5 page summary of the research objectives of the ongoing project
- Summary of the extent, sources and duration of existing project funding
- 2 page outline of the research contribution of the proposed postdoc, including an explanation of why this contribution is not fundable from existing sources
Decisions will be made on successful applications within one month of the closing date. In certain situations, additional information will be requested from the proposal writers. Criteria used for evaluating applications, in line with the objectives of the Moore-Sloan Data Sciences Environment, will include:
- Quality of scientific or methodological questions the postdoc will address
- Degree of interaction between data science and substantive domain in the proposed work
- Difficulty of funding the postdoc position from traditional sources
Successful projects will be responsible for recruiting the postdoc, subject to final approval of the Steering Committee of the Moore-Sloan Data Sciences Environment. This final approval will be a “light” process designed solely to confirm eligibility under the program.
Positions may start from a date as soon as practicable after final approval of the recruit.
Postdoctoral scholars funded by this program will be expected to be active participants in the Moore-Sloan Data Science Environment at NYU, and may be requested to take on leadership roles in one or more of the Moore-Sloan initiatives.