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Principal research engineer, automated reasoning in multi-agent systems

Cork
Phmsociety
Research engineer
Posted: 8 September
Offer description

OverviewCollins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.At Collins Aerospace Applied Research & Technology (A.R.T.) we are accelerating the adoption of transformative technologies in Collins Aerospace businesses: we are redefining aerospace today!We are building a diverse and global team and we are seeking a passionate candidate for a position as Principal Research Engineer, Automated Reasoning in Multi-Agent Systems to join our Autonomous Systems team.ResponsibilitiesLead technical tasks/projects in collaborative autonomy and robotic multi-agent systemsDerive requirements and define conceptual architectures for collaborative autonomy applicationsDesign and develop research prototypes to fast demonstrate technology concepts for collaborative autonomyWork closely with Collins Aerospace technology leads and identify emerging trends and technology needs to increase the adoption of automated reasoning in autonomous systemsContribute to research proposals for internal, customers and government funded projectsBe an advocate for diversity and inclusion in Raytheon Technologies and aerospace and defense industryPosition RequirementsA PhD degree in Aerospace Engineering, Systems Engineering, Computer Science, or Robotics Engineering with 3+ years of industrial experience or a Master’s degree in these areas with 7+ years of industrial or academic experienceA proven applied or academic research track record in automated reasoning in topics such as graph theory, combinatorial optimization, constraint programming, game theory, graph reasoning, graph knowledge extraction, formal methods, artificial intelligence, and machine learningAbility to model multi-agent systems and implement algorithms for collaborative agentsKnowledge of GNC or ATM/UTM is preferredPassion in building prototypes integrating software/hardware componentsMotivated self-starter with a strong enthusiasm to learn and passion for speed and agilityAbility to adapt to new challenges and go beyond the original field of expertiseCollins Aerospace Diversity & Inclusion StatementDiversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.WE ARE REDEFINING AEROSPACE.Apply now and be part of the team that’s redefining aerospace, every day.
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