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UID:submissions.supercomputing.org_SC23_sess503_job207@linklings.com
SUMMARY:Computational Scientist - Artificial Intelligence & Machine Learni
 ng
DESCRIPTION:The Research Computing Center (RCC) seeks to hire an experienc
 ed Computational Scientist – Scientific–AI and Machine Learning to serve a
 s a domain expert in supporting and advising faculty, post-docs, and gradu
 ate students on projects in a wide range of research domains. In this role
 , the Computational Scientist will support research projects that needs to
  use machine learning and AI, understand faculty’s research questions and 
 contribute to finding solutions and developing applications. Working as pa
 rt of an existing team, the successful candidate will have ample opportuni
 ty to contribute to enabling science at UChicago, to collaborate on softwa
 re development, develop and deliver training, and other activities designe
 d to advance research through scientific visualization, machine learning, 
 and beyond.\n\nResponsibilities\n\n-Support applications of Artificial Int
 elligence (AI) in various research disciplines and serve as the domain exp
 ert.\n\n-Work closely with faculty to identify, develop, and implement use
 ful computational methods and resources that support or advance their rese
 arch. Independently and proactively propose and execute practical solution
 s to research challenges.\n\n-Develop and implement AI and machine-learnin
 g based methods for different use cases: images, video, speech, unstructur
 ed text, etc.\n\n-Develop, maintain, and support data analysis, AI and Mac
 hine Learning pipelines.\n\n-Confidently solve regression, classification,
  clustering, forecasting, and anomaly detection problems using established
  machine learning techniques.\n\n-Independently propose and execute practi
 cal solutions to various research challenges.\n\n-Communicate highly techn
 ical information to numerous audiences, including faculty, students, resea
 rchers, and staff. Teach others and learn new techniques.\n\n-Help faculty
  with grant proposals by contributing sections describing the interplay be
 tween research objectives and new or expanded data resources.\n\n-Create a
 nd present tutorials, hands-on workshops, and documentation to train the r
 esearch community.\n\n-Develops and presents technical training materials 
 and web-based documentation. Ensures timely systems support and updates. A
 ssists in conducting information security assessments and risk analysis of
  computing environment.\n\n-Evaluates past and present technologies to hel
 p develop new tools. Ensures all the new tools have been through quality c
 ontrol reviews.\n\n
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