The Applied Research Laboratory for Intelligence amp Security ARLIS a University Affiliated Research Center UARC under the UMD Vice President for Research VPR is a growing organization with a core mission to support the governments security and intelligence communities ARLIS aims to integrate social and behavioral sciences AI and computing for new Human Domain applied research and development capabilities ARLIS seeks to hire an Artificial Intelligence AI Machine Learning ML Scientist Exceptional candidates in all areas related to the ARLISs current research trajectories will be given serious consideration particularly those with experience in multiple areas As an AIML Scientist you will be part of up to two or three project teams and your activities may include Seeking practical AIML based solutions built on technologies including natural language processing and translation knowledge representation and reasoning with evidence learning automated ontologytaxonomy creation or 3D synthetic data generation and refinement Utilizing statistical analysis unsupervised machine learning supervised machine learning and deep learning as needed Building models and simulations to describe data predict events and inform a course of action Supporting test and evaluation as well as validation and verification efforts by developing a test harness to support systematic evaluation of machine learning frameworks using evaluation data sets Strengthening the interdisciplinary and sociotechnical considerations being applied to the design development test and evaluation of human machine interfaces to include augmented and virtual reality ARVR human systems integration and augmentation of human performance Apply sound engineering and computer science principles to design build and test systems in support of multidisciplinary research projects Collaborate closely as a member of interdisciplinary research teams Develop and understand research goals Identify and define concrete machine learning tasks and solutions when presented with broader customer needs Take initiative to solve problems fix critical errors and raise important issues to appropriate level Work as part of a multi disciplinary opportunity capture team in a matrixed organization with a collaborative and a team centric culture This is a full time professional track PTK faculty position at the University of Maryland with benefits Salary is dependent on experience qualifications and hiring level The preferred start date is as soon as possible