<b>Research Assistant Professor on Probabilistic Ontologies and Reasoning</b><br /><br /><b>C4I & Cyber Center, Volgenau School of Engineering:</b> The George Mason University Center of Excellence in<b> C4I & Cyber (C4I & Cyber Center)</b>, within the Volgenau School of Engineering , has two openings for the position of assistant research professor for a PhD graduate in information technology with experience in developing probabilistic representation and reasoning systems using the UnBBayes-MEBN probabilistic graphical framework, logical programming in Java, Python, and R, heterogeneous data fusion, cyber-security experimentation, semantic web languages and rule-based systems. The <b>C4I & Cyber Center</b> currently conducts research that investigates the applicability of a combination of models using highly expressive probabilistic ontology languages such as PR-OWL and advanced simulation techniques to address the problem of human cognition bottlenecks in highly dynamic operations. Among the main topics is the aggregation of heterogeneous data from cybersecurity experiments using probabilistic ontologies, and the automated establishment of multi-domain adaptive kill-chains in military operations. The <b>C4I & Cyber Center</b> is located on the main campus of George Mason University in Fairfax, Virginia (https: c4i.gmu.edu/) and is part of the greater Washington DC area. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.<br /><br /><b>Responsibilities:</b><br /><br />The candidate will be part of a multidisciplinary team developing novel techniques for heterogeneous data fusion and will be responsible for: * Development of first-order probabilistic reasoning models using the PR-OWL language and the UnBBayes-MEBN probabilistic graphical framework. * Development of advanced algorithms for probabilistic inference in multi-entity Bayesian Networks using Java, Python, and R. * Designing experiments, conducting heterogeneous data fusion research, drafting manuscripts, revisions and publication.<br /><br /><b>Required Qualifications:</b><br /><br />Candidates must have earned a doctorate in information technology, systems engineering, computer science or a closely related field to apply for this position.<br /><br /><b>Preferred Qualifications:</b><br /><br />Preference will be given to candidates with relevant experience and expertise in areas related to the research activities described above. <br /><br /><b>About Us: The Future of Engineering Is Here.</b><br /><br />The Volgenau School of Engineering at George Mason University is a fast-growing force for innovation in technology and education. Its fall 2018 enrollment stood at close to 8,000 students in 37 undergraduate, master's, and doctoral degree programs, including several first-in-the-nation offerings. As part of a nationally ranked research university, the engineering school's research teams earned more than $68 million in sponsored research awards in the last calendar year. Located in the heart of Northern Virginia's technology corridor, Mason Engineering is known for its leadership in emerging areas including big data, cybersecurity, health care technology, robotics and autonomous systems, signals and communications, and sustainable infrastructure.<br /><br />George Mason University is the largest public research university in Virginia with an enrollment of over 37,000 students studying in more than 200 degree programs. The university is classified as an R1 research institution by the Carnegie Classifications of Institutes of Higher Education. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. In 2018, U.S. News & World Report ranked Mason among the top 30 most innovative schools nationwide and one of the nation's top institutions for diversity, innovative learning, and a campus atmosphere that allows its students to thrive.<br /><br />Mason's Fairfax, SciTech, and Arlington Campuses are in Northern Virginia near Washington, D.C., providing unmatched access to many federal agencies and national laboratories. The region is consistently rated as being among the best places to live in the country and has an outstanding local public-school system. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation providing excellent opportunities for interaction with industry.<br /><br />For full consideration, applicants must complete the online application at http: jobs.gmu.edu/ for position number F411AZ; and upload a cover letter, CV, a 1-2-page description of relevant research experience (to be attached as 'Other Doc'), and a list of three professional references with contact information. Questions regarding the position should be directed by e-mail to Professor Paulo Costa, Department of Systems Engineering and Operations Research, pcostagmu.edu.<br /><br />"Great Careers Begin at Mason! <br /><br />George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report "Up and Coming" spot for national universities and is recognized for its global appeal and excellence in higher education. <br /><br />Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create. <br /><br />If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/! <br /><br />George Mason University, Where Innovation is Tradition."