Michigan Data Science Fellows (DS Fellows) Program

The Michigan Institute for Data Science (MIDAS) is seeking applications for its Michigan Data Science Fellows (DS Fellows) Program. This two-year program provides outstanding young researchers with intensive data science experience as they ready themselves for independent research and faculty positions.  

URL: midas.umich.edu/2021-fellows

Application Deadline: April 23, 2021.
Notifications by July 1, 2021 with expected start dates in Fall 2021.

Application Packet:    
1.    The candidate's CV.
2.    A Research Statement, up to 4 pages, that includes: A. The proposed data science research, including its importance and potential impact; B. Qualifications that make the applicant particularly suitable for this program; C. The applicant's career plan, how this Fellowship will benefit the plan, including a justification of why the applicant can be competitive as a faculty candidate within the short timeframe of this program.  
3.    A. reproducibility statement (1 page): MIDAS is dedicated to promoting reproducible data science.  Applicants should state how they will address the issue of the reproducibility of their research. This could be, but is not limited to, a rigorous method to reduce human errors in the study design or a thorough way to share data and code. A number of examples can be found on MIDAS website. It is important to articulate how their approach to reproducibility can be shared and adopted by other data scientists. Reproducibility may also be the focus of their research, such as the improvement of the robustness of data science methodology, or developing tools for reproducible research. 
4.    Each mentor should provide a Letter of Support, which includes the confirmation that the mentor is committed to providing 50% of the funding if the applicant is accepted to the program. The letter can be included in the application package, or emailed separately to midas-research@umich.edu by the deadline.  
5.    Names and contact information of 2-3 references.