Full Job Description
Are you searching for meaningful work in the vigorous pursuit of the advancement of AI and autonomy to revolutionize air, strike and electronic warfare?
Do you enjoy collaborating with and leading an energetic and talented team of scientists and engineers to help ensure the US achieves a preeminent position as the world leader in the development and fielding of intelligent autonomous combat systems?
If so, we're looking for someone like you to join our team at APL.
We are seeking an energetic and talented individual who can lead a diverse team of scientists and engineers pursuing advanced applications in artificial intelligence and autonomy to enable future combat capabilities to outmaneuver and out think the adversary. Our team is made up of professionals with a demonstrated expertise in aerospace engineering, control theory, machine learning, optimization / optimal control theory, stochastic optimal control and the general field of artificial intelligence
As the Principal Investigator for the DARPA Air Combat Evolution program
You will work with and lead a team advancing the science and applications of AI, Machine Learning and Advanced Autonomy to develop technical capabilities to revolutionize the art of air-to-air, strike and electronic warfare
You will serve as the technical lead coordinating the activities of APL in support of the DARPA ACE program and will interface directly with DARPA and APL program leadership
You will be responsible for coordinating the efforts and activities across a diverse set of DARPA performers including leading integration events, participating in test events, identifying risks across the program, developing mitigation strategies and ensuring that all stakeholders are aligned to the program goals
You will support innovative research and development of advanced AI and autonomy algorithms, novel reinforcement learning techniques and, along with your colleagues, publish your results to advance the collective knowledge in this fast growing, dynamic field of study.
You meet our minimum qualifications for the job if you...
Ph.D. in engineering, computer science, physics or mathematics or related field with at least 10 years of relevant experience.
Demonstrated expertise leading technical efforts related to autonomy, AI and machine learning, and optimal control theory
Demonstrated expertise developing simulation models using C/C /JAVA or other suitable software coding languages
Demonstrated strength in communication skills - both verbal and written.
Are able to travel within CONUS to U.S. Government and defense contractor’s sites as well as to the work locations of KVM staff.
Hold an active Secret security clearance and are able to obtain a Top Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
Ph.D. in engineering, computer science, mathematics or related field with 15 years of relevant experience.
Successful track record developing, proposing and successfully executing novel research in the application of AI/RL/ML
Why work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at www.jhuapl.edu/careers.
