See post for more details: https://osrhe.peopleadmin.com/postings/452
Provide customer service/technical support for OneNet’s statewide Internet services.
Responsibilities and Duties
• Develops new system and application implementation plans, custom scripts and testing procedures to ensure operational reliability for the network group.
• Maintains process workflows for Netgroup ticket activities and implements new technologies, as applicable.
• Assist in network analysis and design for all network infrastructure.
• Ensures high availability and acceptable levels of performance of mission critical host computer resources.
• Actively support router/switch installations, modifications and upgrades.
• Support services such as packet filtering, firewall services, VPNs and router upgrades.
• Tier 2-3 support for the OneNet helpdesk for network-related issues.
• Assist lead engineer for MPLS network deployments.
Univ of Missouri
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UNL Institute of Agriculture and Natural Resources (IANR) and Agricultural Research Division Seeks Data Management Specialist
See website for more information: https://employment.unl.edu/
Description of Work :
This position will support our recent excellent faculty hires who are working on cutting edge research in their disciplines, and collaborating across disciplinary boundaries in our systems teams. The incumbent will work with the Holland Computing Center, ITS, Libraries, and external Federal partners (e.g., Agricultural Research Service, USDA) to initiate the development of agricultural data architecture, configuration, and analytic technologies that will allow our researchers to store (short and long-term), visualize, show workflow, use version control (i.e., keep previous versions), integrate heterogeneous data, capture metadata (that can be expandable), guarantee compatibility between systems, and offer onsite analysis (i.e., avoid downloads).
Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and Agricultural Research Division are committed to creating learning, research, extension programming, and work environments that are inclusive of human diversity. We actively encourage applications from and nominations of individuals from underrepresented groups.
As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See http://www.unl.edu/equity/
Minimum Required Qualifications:
PhD in computer science, geospatial science, machine learning, agricultural sciences or related field; experience in data infrastructure design and development; experience in working with large-scale unstructured datasets: time series, geospatial (vector and raster), images, and video streams.
Understanding of agricultural and natural resources data; demonstrated ability to multitask; oral and written communication skills; student/staff training ability at the college level; experience in publishing technical papers, reports and other products (such as software packages and apps).
For questions or accommodations related to this position contact:
Job Posting: https://employment.unl.edu/
The Trusted CI engagement application period is open for engagements taking place in the second half of 2021 (July-Dec 2021). Applications are due April 2, 2021. (Slots are limited and in demand so this is a firm deadline!) To learn more about the process and criteria and to complete an application, visit our site at https://trustedci.org/application.
During Trusted CI’s first 5 years, they’ve conducted more than 35 one-on-one engagements with NSF-funded projects, Large Facilities, and major science service providers representing the full range of NSF science missions. (See https://trustedci.org/engagedcommunities/.) they support a variety of engagement types including:
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As the NSF Cybersecurity Center of Excellence, Trusted CI’s mission is to provide the NSF community a coherent understanding of cybersecurity’s role in producing trustworthy science and the information and know-how required to achieve and maintain effective cybersecurity programs.