Multi-Source Data Fusion Research Associate

** Job Posting

Title:

** Multi-Source Data Fusion Research Associate**---
- **** Hiring Department:
** Applied Research Laboratories**---
- **** Position Open To:
** All Applicants**---
- **** Weekly Scheduled

Hours:

** 40**---
- **** FLSA Status:
** Exempt from FLSA**---
- **** Earliest

Start Date:

** Immediately**---
- **** Position Duration:
** Expected to Continue**---
- ***
* Location:

** PICKLE RESEARCH CAMPUS**---
- **** Job Details:*
* ** Purpose
* * Applied Research Laboratories is a University Affiliated Research Center at The University of Texas at Austin, located on the Pickle Research Campus in North Austin. Through fundamental research, innovative science, and applied engineering, ARL:

UT makes significant contributions in support of national security.  Within ARL:

UT, the Space and Geophysics Laboratory (SGL) engages in research in electromagnetic propagation, geo-positioning, and remote sensing. The lab monitors the long-term performance of GPS, addresses the specification of government geodetic-quality GPS receivers, and designs and executes government tests for industry-produced receivers.  We are seeking a Research Associate to provide multi-source data fusion, environmental and geospatial modeling, and machine learning expertise and scientific rigor across a portfolio of technologies germane to interests of SGL listed above in order to effect improvements to these interests and advance the state-of-the-art in these areas.

The successful candidate will support the design, development, and independent evaluation of multi-source data fusion, environmental modeling, and digital twin / multi-agent simulation capabilities, including object detection, classification and tracking, route prediction, and decision support functions.  
** Responsibilities*
* * Perform high-level independent research in multi-source data fusion, environmental and geospatial modeling, machine learning, and digital twin / multi-agent simulation relevant to the interests of SGL.
* Present and publish your research, both internally and externally. This may involve participating in project reviews and technical interface meetings to present designs and test results to sponsors and other external organizations, as well as publishing work in scientific journals and presenting work at conferences.
* Contribute to the first principles problem formulations, algorithm development, systems designs, and software implementations for specialized data fusion and modeling applications, employing 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 gauge the performance of fusion, object classification and tracking, route prediction, and decision support methods, and develop recommendations to effect improvements.
* Implement software algorithms in a collaborative environment. Work closely with team members to define interfaces between program components. Document implementations thoroughly and clearly. 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…