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Research Computing Facilitator
at University of Oregon in Oregon
Location: Eugene, OR
Categories: Academic Advising/Support, Information Technology, Research/Scientific/Grants, Computer and Information Science, Data Science
Department: Information Services - Research Advanced Computing Services
Appointment Type and Duration: Regular, Ongoing
Salary: $110,000 - $120,000 per year
Compensation Band: OS-OA11-Fiscal Year 2024-2025
FTE: 1.0
Application Review Begins
August 12, 2024; position open until filled
Special Instructions to Applicants
To ensure consideration, please include the following with your online application:
A current resume or CV;
A cover letter that demonstrates how your skills and experience meet the minimum and preferred qualifications, which includes identifying any transferable/non-traditional skills.
We are interested in finding the best candidate for the position. We encourage you to apply, even if you dont think you meet every one of our preferred qualifications - use your application to let us know what is meaningful to you about the role and what transferable skills or other qualities you would bring.
Department Summary
Research Advanced Computing Services (RACS), a department within Information Services, works across the University to help support the computational, data, and technology needs of our researcher community. RACS architects and manages high-performance computing systems, provides communication and outreach activities, and delivers individual consultation, support, and training to enable researchers to maximize their productivity in research and teaching.
Information Services (IS) is the central information technology organization at the University of Oregon, delivering a broad range of technology and services to the University. IS consists of four major functional areas: Customer Experience, which serves as the key contact point for interactions with campus clients and customers; Enterprise Solutions, which manages and supports applications, integration services, identity management and data management; Information Security, which helps protect virtual or physical information; and Technology Infrastructure, which provides engineering and support for research IT services and high-performance computing, networking, compute, storage, voice, data centers, audio-visual and classroom technologies, and UO staff supporting Link Oregon, Oregons state-wide research and education network.
Founded in 1876, the University of Oregon (UO) is a Carnegie R1 research university, a member of the 65-member Association of American Universities (AAU), and the states flagship campus. UO enrolls more than 22,000 undergraduate and 3,600 graduate students representing all 50 states and 99 countries, and is an integral economic driver for the state, with an estimated $2.6 billion annual economic return to Oregon. In FY 2022, the University received $180M in competitively awarded research grants and contacts. The Universitys teaching and research faculty total nearly 2,000. Since 2014, UO has operated under an independent governing structure that supports its ability to chart new directions, improve entrepreneurial activity, and invent creative programming. Since then, the University has raised over $3.2 billion in support of partnerships and opportunities in academic, research, and innovation excellence. Recent efforts include new initiatives focused on the environment, innovation and entrepreneurship, and the humanities, as well as an interdisciplinary data-science initiative.
In addition to transformative investments in Eugene, UO is developing its presence in Portland, OR at both downtown and northeast campuses, creating an urban laboratory for professional degree programs managed in close partnership with industry expertise.
Position Summary
The Research Computing Facilitator (RCF) will be a key link between the Research Advanced Computing Services (RACS) team and the research community at the University of Oregon (UO). This position will be responsible for helping researchers at UO understand and utilize RACS, cloud, and NSF ACCESS resources.
The successful candidate will have a strong background in academic research and in supporting computational research especially in the fields of data science, machine learning, and AI.
The RCF will provide consulting and technical support for a broad spectrum of UO researchers. This support will consist of experimental design, large data workflows, design of data analysis, applications of Machine Learning and AI, and design of computational paradigms to improve research outcomes. his position will be expected to identify and participate in collaborative funding proposals and research, and may be a Principal Investigator (PI) or CoPI on grant proposals.
The Research Computing Facilitator will take a leadership role in developing a strategic plan for promoting further growth of the research facilitation service provided by RACS. The RCF will create metrics to determine the success of the research facilitation service and assess the impacts of the growth plan.
The RCF will represent RACS and UO by engaging with the broader national research computing efforts through attending research conferences and workshops, publishing scientific papers and contributing to open-source research focused software projects.
The Research Computing Facilitator at UO will be part of and work collaboratively with the RACS staff. This is a highly integrated team and the ability to work collaboratively is essential.
In addition, the successful candidate is a problem solver with excellent troubleshooting skills, has excellent written and oral communication skills, can work effectively with both technical and non-technical audiences, can self-direct and adjust to shifts in priorities, and is someone who values and appreciates different perspectives and diverse backgrounds.
Minimum Requirements
A graduate degree in any field that included a significant research computing component.
Research experience that includes the application of advanced computing to solve research problems.
Linux command line experience and programming experience with a modern language such as R, Python, or C++.
Preferred Qualifications
Experience in developing research-focused software applications, using modern software development tools such as version control and continuous integration.
Experience with developing data analysis and/or data management pipelines.
Experience using the R or Python languages to support research
Experience using machine learning and/or artificial intelligence techniques to solve scientific problems.
Developing and optimizing software for use on GPUs in either a compiled or interpreted programming language.
Experience with grant proposal development and/or coordination.
Experience with engaging researchers at all levels to provide research expertise in the use of on-prem HPC, cloud HPC and NSF ACCESS resources.
Reference : Research Computing Facilitator jobs
Reference : Research Computing Facilitator jobs
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Published at 17-07-2024
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