Office of Postdoctoral Affairs

Position Detail

The Data Science Institute (DSI) at Vanderbilt University, https://www.vanderbilt.edu/datascience, invites applications for its first cohort of applied deep learning postdoctoral fellows. Fellows will be part of an interdisciplinary Deep Learning Initiative to explore the application of transformers and other models to problems from multiple disciplines. Fellows will serve as collaborators on research projects as part of a team of researchers, data scientists, graduate students studying data science, and undergraduates. Fellows will have access to compute infrastructure including two DGX A100s for model fitting and inference.

Department	Data Science Institute
Full Description	The Data Science Institute (DSI) at Vanderbilt University, https://www.vanderbilt.edu/datascience, invites applications for its first cohort of applied deep learning postdoctoral fellows. Fellows will be part of an interdisciplinary Deep Learning Initiative to explore the application of transformers and other models to problems from multiple disciplines. Fellows will serve as collaborators on research projects as part of a team of researchers, data scientists, graduate students studying data science, and undergraduates. Fellows will have access to compute infrastructure including two DGX A100s for model fitting and inference. Strong candidates will have backgrounds in applying deep learning to their area of research and a strong interest in developing greater expertise in the application of deep learning to a broader range of research problems. We invite applications from PhD’s from a broad range of fields (for example education, astronomy, medicine, and others). The essential requirements are a good facility with programming, a good knowledge of some area of deep learning, and a strong interest in learning and building expertise in applying deep learning. Fellows will play an important part in the Deep Learning Initiative and will be part of a strong team of data scientists and data science graduate students. This team will engage with research faculty from multiple domains. The goal is for Fellows to collaborate with faculty and to coauthor model-centric research within the domain and in deep learning journals. In addition, Fellows will be part of a community at the DSI where we share research, collaborate on problem solving, mentor students, and support reproducible, open research. The cohort of fellows will also have the opportunity to develop greater expertise by taking classes and workshops. Fellows will also have the opportunity to contribute to the educational mission of the DSI by assisting in the creation and instruction of an advanced research-based graduate course involving deep learning if they so wish. For more information on this opportunity, please reach out to jesse.spencer-smith@vanderbilt.edu.
Application Details	Fellowships will begin in September of 2022 and will be renewable for up to three years. Fellows will receive annual salary support of $70,000, a competitive benefits package, and an annual research budget of $10,000 that can be used for travel, equipment, software, or other research expenses. Eligibility Candidates should have a PhD or be on track to earn a PhD before they begin their tenure as DSI fellows. Successful candidates will have a strong record in deep learning related research and an interest in exploring broader application of their work in varied research domains. Candidates should have an interest in engaging in interdisciplinary work. Application Procedure To apply, please submit the following materials online on this site: A brief cover letter that states the overall goals and motivation for applying (1 page) A curriculum vitae A publication list A single document containing a brief statement of past research accomplishments and future research interests (3 pages) In addition, please arrange for three letters of reference to be submitted. Vanderbilt University is committed to principles of equal opportunity and affirmative action. Candidates that will diversify the workforce in data science are especially encouraged to apply. Related URLs: https://www.vanderbilt.edu/datascience
Contact:	Amber Miller : amber.miller@vanderbilt.edu : (615) 875-7897
Posted	2022-08-23 15:36:36

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