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University of Texas at Austin

Public research university in Austin, TX

Multi-Source Data Fusion Research Associate

AI ResearchConfirmed live in the last 24 hours
Full-timeAustin, TX, USA$120k - $165k

About the Job

Requirements

  • A PhD in engineering, computer science, computational science, physics, mathematics, oceanographic science, earth science, geospatial science, or a related discipline is required.
  • Experience developing software for scientific applications is required.
  • Experience developing data fusion, statistical estimation, machine learning, or environmental/geospatial modeling algorithms is required.
  • A demonstrated record of authoring peer-reviewed scientific publications is required.
  • A demonstrated record of presenting scientific content to technical and non-technical audiences is required.
  • Applicants must have a dynamic skill set, be willing to work with new technologies, be highly organized, and be capable of planning and coordinating multiple tasks and managing their time.
  • The position requires attention to detail, effective problem-solving skills, and sound judgment.
  • Applicants must be able to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision, and effectively communicate with various groups of clients.
  • Applicants must be able to work under pressure, accept supervision, and maintain regular and punctual attendance.
  • U.S. citizenship is required.
  • The selected applicant will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to project requirements.
  • Applicants must submit a résumé or curriculum vitae, contact information for three work references (at least one from a supervisor), a letter of interest, and unofficial college transcripts.
  • Applicants must mark “yes” on the application question asking whether additional materials are required and upload all required materials before submitting the application.

Responsibilities

  • Perform high-level independent research in multi-source data fusion, environmental and geospatial modeling, machine learning, and digital twin or multi-agent simulation relevant to the interests of the Space and Geophysics Laboratory.
  • Present and publish research internally and externally, including participating in project reviews and technical interface meetings to present designs and test results to sponsors and other external organizations, publishing in scientific journals, and presenting at conferences.
  • Contribute to first-principles problem formulations, algorithm development, systems designs, and software implementations for specialized data fusion and modeling applications, applying expertise in statistical estimation, geospatial and environmental modeling, machine learning, and sensor phenomenology.
  • Develop multi-source data fusion algorithms to improve detection, correlation, and classification.
  • Develop environmental suitability models to predict routes and movement patterns and to simulate courses of action.
  • Contribute to digital twin and multi-agent simulation capabilities that synthesize historical patterns, environmental models, and activity data to generate predictions, identify areas of interest, and support decision-making.
  • Design experiments and corresponding analyses to evaluate the performance of fusion, object classification and tracking, route prediction, and decision-support methods, and develop recommendations for improvement.
  • Implement software algorithms collaboratively, define interfaces between program components with team members, thoroughly and clearly document implementations, and define, implement, and execute test cases for program functions.
  • Further develop knowledge of multi-source data fusion, statistical estimation, machine learning, environmental modeling, and software development principles.
  • Provide guidance and assistance to other full-time employees and student employees.
  • Provide technical leadership and identify new directions for research.
  • Perform other related functions as assigned and travel occasionally to support meetings.

Desired Qualifications

  • Experience developing and evaluating multi-source data fusion systems, including detection, correlation, and classification refinement.
  • Experience with object detection, classification, and tracking using various data sources.
  • Experience developing and applying environmental models, such as oceanographic, meteorological, terrain, and bathymetric models, for prediction, simulation, and suitability analysis.
  • Experience applying machine learning to detection, classification, and prediction problems.
  • Experience with digital twin architectures, agent-based modeling, and simulation of operational courses of action.
  • Experience with route prediction, behavior modeling, and movement pattern analysis.
  • Experience designing, implementing, and deploying robust scientific software.
  • Experience employing statistical estimation techniques.
  • Experience with high-performance computing.
  • Experience with geospatial data processing and Geographic Information Systems tools.
  • Eligibility for immediate access to classified information.
  • Experience writing proposals for and leading externally funded research projects.
  • Proficiency with programming languages such as Python, C, C++, FORTRAN, or similar languages.
  • Experience developing on Linux and Windows platforms, including terminal-based environments such as bash, version control systems such as Git and GitHub or GitLab, and cloud services such as AWS.
  • Proficiency with LaTeX.
  • A minimum cumulative GPA of 3.0.

About the Company

University of Texas at Austin

Public research university in Austin, TX

University of Texas at Austin is a public research university in Austin, Texas. It offers undergraduate, graduate, and professional education across a broad range of fields.

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