MINDS is calling for the submission of proposals for the Spring & Summer Data Science Fellowships to recognize and support outstanding graduate students working broadly in data science, and particularly in the foundations of deep learning and graph learning.
Fellowship details: This award will support the selected fellows in one of three modalities: (i) support for the Spring semester of 2021, (ii) support for a research internship at MINDS over Summer 2021, or (iii) support for Spring + Summer 2021. The summer internship will have a higher stipend than the semester fellowship. Candidates are to specify which of the award modalities they wish to apply to, and their research proposal should be reflective of the duration of the type of award (see below).
Eligibility: Ph.D. students currently advised by MINDS faculty are eligible at all stages of their graduate studies. Applications will be reviewed by an awards committee for technical depth, potential impact of the research plan, and quality of presentation. Priority will be given to proposals addressing topics in the foundations of deep and graph learning, and to those including two or more MINDS faculty as advisers. Current MINDS fellows who wish to renovate their fellowships (based on their progress) are also encouraged to apply.
Submission details: Students are to submit a one page proposal for modality (i) and (ii), or a two-page proposal for modality (iii), as well as the candidate’s CV. Current MINDS Fellows should include a small section on their accomplished research progress in the last year. All material (in a single pdf file) should be sent to the email address: firstname.lastname@example.org by Dec 4th, 11:59 pm EST.