Contact:  mpuerrer[AT]uri.eduLocation:  Kingston, RI, USA
The University of Rhode Island Center for Computational Research (CCR), Artificial Intelligence Laboratory (AI Lab), and Information Technology Services (ITS) are in search of a creative and innovative Computational Scientist with expertise in machine learning (ML) and AI. This role actively involves supporting over 100 faculty research labs and graduate research assistants, focusing on identifying, developing, and implementing ML/AI solutions for their research problems in diverse domains including engineering, biology, physics, oceanography, math and beyond.
This full-time hybrid position, which comes with benefits (health care, retirement, sabbatical leave, etc) and job security, requires a candidate who proactively collaborates with the research community. The ideal candidate not only understands the scientific requirements of the researchers but also empowers them by sharing expertise on ML/AI methods, including supervised and unsupervised learning, and relevant tools such as tensorflow, pytorch, and scikit-learn. Additionally, they facilitate access to computing resources and guide researchers in effectively utilizing these methods.
The strong candidate demonstrates strong interpersonal skills, showing a proactive attitude in building relationships and solving problems, rather than relying on asynchronous communication methods. Additionally, they will thoroughly explore and understand the inventory of ITS and research tools available at URI.
The successful candidate directs researchers towards solutions that leverage ML/AI resources efficiently across URI and the region. Beyond these responsibilities, the candidate actively participates in training and outreach efforts. Moreover, they serve as a representative for researchers’ perspectives when collaborating with other entities within the university.
This is a unionized position with tenure-like protection which becomes permanent after a one year probationary period. However, unlike tenure-track positions, there is no tenure process – which means that teaching, university and department service, and grant-writing are all optional. The hire can teach for extra pay and can have their own research program, mentor PhD students, and apply to grants – in fact, all of these are highly encouraged.
We are especially interested in applicants who intend to join scientific research efforts of the recently established UMass-URI Gravity Research Consortium (U2GRC) which includes gravitational physics researchers at URI and UMassD. Faculty include Drs. Collin Capano (UMassD), Rob Coyne (URI), Sarah Caudill (UMassD), Scott Field (UMassD), Bob Fisher (UMassD), Doug Gobeille (URI), Gaurav Khanna (URI/UMassD), Michael Puerrer (URI) and Vijay Varma (UMassD). Many U2GRC faculty and students are members of the LIGO Scientific Collaboration, LISA Consortium, and the SXS Collaboration. U2GRC currently has 20 PhD students.
First consideration will be given to applications received by January 3, 2024.