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neural receiver, from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN, from statistical learning theory to software defined radio (e.g
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• Expressed interest in higher education administration • Experience with statistical or data reporting and analysis • Ability to work independently and collaboratively in a team environment • Experience with
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, data sciences, student affairs administration, public administration, statistics, or a related field with a research or evaluation emphasis. Considerable experience developing and leading the planning
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and presenting at professional conferences. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work both independently and collaboratively in
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technical and professional skills aligned with rapid AI T&E and national security mission needs. Required Qualifications • Doctoral degree in engineering, computer science, mathematics, statistics, operations
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theory-guided statistical approaches to uncover relationships in the data, generating visualizations and maps, preparing manuscripts for submission to peer-reviewed journals, and presenting findings
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publications. • Strong understanding of experimental design, data collection, and statistical analysis. • Ability to work independently and collaboratively in an interdisciplinary research environment
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis
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Qualifications • Ph.D. in fisheries, biology/ecology, statistics, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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- Significant statistical analysis experience with multilevel and/or longitudinal data - Strong conceptual and written communication skills Preferred Qualifications - Staff and graduate student supervision