Artificial Intelligence Research Scientist

Soar Tech is currently looking for full-time Research Scientists/Principal Investigators (PIs) to lead research, development and transition activities in the areas of artificial intelligence, human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning, agent-based social simulation, data analytics, intelligent user interfaces, complex adaptive systems, decision support systems, learning science, learning technologies, augmented reality, virtual reality, simulation, robotics, data fusion, and/or game development.

Activities in this area include developing and executing new concepts for addressing some of the most challenging issues associated with the use of AI, and helping in the creation of Research and Development (R&D) proposals, and leading the execution of projects including research outcomes, engineering accomplishments, transition, and budget oversight. Research Scientists/PI’s also publish study results as first author or coauthor.

This position requires personal initiative to accomplish technological innovation and creativity in support of new business development and project execution. This position serves as the primary liaison with research sponsors.

Duties and Responsibilities:

• Generate ideas and concepts (collaborating with others, both within and outside the company), to develop successful research and development proposals for external funding that align with Soar Tech’s strategic missionofdeveloping human-centered artificial intelligence solutions for the military’s toughest problems.

• Act in the capacity of Principal Investigator. This requires executing R&D projects on time and within budget. This includes allocation of resources, ensuring delivery dates are met, and quality of work product meets customer needs and requirements.
• Collaborate with others in the translation of scientific research into engineering practice, the development of project strategy, and the implementation and execution of goals and objectives for research programs.
• Provide leadership and coordination of staff supporting R&D projects and to contribute substantively to existing projects as a technical contributor.
• Stay current in areas of relevant research through reviews of the literature and participation in industry-wide forums and discussions. Research Scientists disseminate findings through peer-reviewed publications, presentations at scientific and community meetings, seminars and other venues.
• Locations:
  Orlando, Florida and Ann Arbor, Michigan, some travel will be required. Remote working situations may be considered for candidates with experience as DoD RDT&E Principal Investigators.
• Performs other duties as assigned.

Required

Skills and Experience:

• PhD or equivalent level degree in computer science, computer engineering or related field involving artificial intelligence, human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning, agent-based social simulation, data analytics, intelligent user interfaces, complex adaptive systems, decision support systems, learning technologies, augmented reality, virtual reality, simulation, robotics, data fusion, and/or game development.
• Minimum 3 years experience as DoD RDT&E Principal Investigator.
• Good communication skills, including facilitation, negotiation and collaboration.
• Leadership, mentoring and other skills needed to support teams and to work with subcontractors and prime contractors to accomplish common goals.
• Strong presentation skills and an ability to confidently present research concepts and technical efforts to a wide range of audiences.
• Familiarity with, and insight into, direction of DoD research community; ability to help position Soar Tech for growth in that industry specifically including, ONR, NAVAIR, AFRL, DARPA, and other DoD RDT&E funding organizations.
• Familiarity with the DoD research community players, processes and procedures (e.g., the military services and competitive BAA processes).
• Experience in one of the following (or a similar area): human behavior modeling, natural language processing, machine learning, multi-agent systems, deep learning,…