Uncertainty-Aware AI&ML for Information Fusion

The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on advancing AI and machine learning technology for information fusion systems. Information fusion systems to meet future Army challenges will require advanced AI&ML technology that can learn and make inferences over sparse, conflicting, and heterogeneous data from possibly unreliable information sources. The project seeks to advance AI&ML technology so that it can properly express uncertainty in its inferences and identify unusual observations and corresponding reasoning paths to achieve more robust decision making. Research will focus on recent advances in Bayesian and evidential neural networks, second-order probabilities, trust/reputation systems, and subjective logic. The position is hosted by the Sensors and Electron Devices Directorate (SEDD), which is the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.