Post Doctoral Scholar - AI Health - AI; X Hub

Position: Post Doctoral Scholar - AI for Health - AI(X) Hub
Post Doctoral Scholar - AI for Health page is loaded## Post Doctoral Scholar - AI for Health locations:
Columbus Campus time type:
Full time posted on:
Posted Todayjob requisition :
R142393

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Job Title:

Post Doctoral Scholar - AI for Health## Department:

ERIK | Artificial Intelligence Hub
** About the AI(X) Hub
** The Research Scientist will join the
** AI(X)
** Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University (). The
** AI(X)
** Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI.
** Job Overview
** Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects.
** Required Qualifications
*** Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences.
* Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning).
** Desired Qualifications
*** Publications in health sciences and biomedical journals.
* Demonstrable interdisciplinary research experience.
* Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools.
* Experience of deploying ML workflows at scale on high-performance computing clusters.
* Extensive biomedical and health sciences knowledge.
* Experience in grant writing and development for health-related opportunities.
*
* How to Apply

** Interested candidates must attach the following materials to their application to be considered for this role:
* Cover letter
* Curriculum Vitae (CV) or resume## Additional Information:

The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget.
** ERIK Overview:
** Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally.

We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit (Use the "Apply for this Job" box below)..
** AI(X) Hub Overview
** The new
** AI(X)
** Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster;

develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers,…