| Position ID: | Texas A&M University-Texas A&M Institute of Data Science-REIII1 [#21350, R-047418] |
| Position Title: | Research Engineer in Data Science for Radio Infrastructure |
| Position Type: | Other |
| Position Location: | College Station, Texas 77845, United States [map] |
| Subject Area: | Data Science / Machine Learning |
| Appl Deadline: | finished (2022/03/10, finished 2023/03/11) |
| Position Description: |
| The TEES Research Engineer III will work with operational data arising from infrastructure and the built environment to derive analyses and tools that will enhance design, management, operations, and user experience. The TEES Research Engineer III will work in part on project funded by the National Institute of Standards and Technology (NIST) to develop analysis, tools, and information systems that will use geospatial environmental and facilities data and usage event streams to inform capacity planning of radio system infrastructure for emergency management. The project is a collaboration between the Texas A&M Departments of Electrical & Computer Engineer and of Visualization, the Texas A&M Institute of Data Science (TAMIDS) and Texas A&M Internet2 Technology Evaluation Center (ITEC). The TEES Research Engineer III will also work on projects more broadly related to infrastructure, urban science, and Data Science, write research article and reports, mentor student participation, and develop proposals for further research funding. The position should appeal to someone with a broad set of systems, computing, and Data Science skills who enjoys harnessing state-of-the-art analytic methods to have practical and beneficial impact on infrastructure systems and collaborating with practitioners to help realize their results. The advent of advanced sensors and instrumentation deployed in the facilities and systems of public infrastructure is yielding immense amounts of operational data. This provides compelling opportunities for Data Scientists to partner with operators to enhance many aspects of the infrastructure, including design, management, safety, and user experience. Our cross-disciplinary team, drawn from Texas A&M’s Department of Electrical & Computer Engineering and the Operational Data Science Lab at the Texas A&M Institute of Data Science, seeks to integrate across foundations and practice by (i) applying methods from Data Science, Machine Learning and AI to model and understand the complex relationships within high-dimensional operational datasets including geospatial data and event streams; (ii) developing algorithms that optimize design and operations of facilities subject to outcome goals including cost and performance; (iii) embodying our results in accessible information systems and web-based interfaces; and (iv) working with operational partners for data acquisition, determining relevant project goals and analyses, and aiding implementation. Responsibilities:
Required Education:
Bachelor’s degree in Engineering, Science or related field or equivalent combination of education and experience. Required Experience:
Four years of related experience. Preferred Education:
Appropriate doctoral degree Preferred Experience:
Knowledge, Skills and Abilities:
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity. |
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