Training AI Teammates Using Human Input
Applications must be submitted in Zintellect.
A complete application includes:
- Curriculum Vitae or Resume
- List relevant coursework and lab experience as well as all papers, presentations, or publications you may have authored or co-authored. Include any reprints or abstracts if they are available.
- Three References Forms
- An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.
- References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)
- Transcripts
- Transcript verifying receipt of degree or current enrollment in an undergraduate or graduate program at an accredited university or technical institute. Student/unofficial copy is acceptable
- Research Proposal
- Research topic should relate to a specific opportunity at ARL
- The objective of the research topic should be clear and have a defined outcome
- Explain the direction you plan to pursue
- Include expected period for completing the study
- Include a brief background such as preparation and motivation for the research
- References of published efforts may be used to improve the proposal
Future systems will require humans and intelligent agents to work together cooperatively to achieve desired outcomes most efficiently. This research will focus on understanding how to leverage human inputs to increase the effectiveness of an AI teammate and in turn, how behavior from an artificial agent changes human behavior. This project will leverage behavioral, eye tracking, and electrophysiolgical human inputs as features in AI models. Successful candidates will be involved in all aspects of the scientific process from experimental design, data acquisition and analysis, and presentation and publication of results.
Advisor
About Army Research Directorate (ARD)
ARL’s Army Research Directorate (ARD) focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through laboratory’s 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.
About Army Research Laboratory Research Associateship Program (ARL-RAP)
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
About Humans in Complex Systems (HCxS)
Multi-disciplinary non-medical approaches to understand and modify the potential of humans situated in and interacting within complex social, technological, and socio-technical systems.
Preferred applicants should have experience with time-series data analysis and machine learning including reinforcement learning. Applicants should be proficient in Matlab and/or Python
- Citizenship: U.S. Citizen Only
- Degree: Doctoral Degree.
- Academic Level(s): Doctoral Degree (Postdoctoral Fellow).
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Discipline(s):
- Chemistry and Materials Sciences (12 )
- Communications and Graphics Design (2 )
- Computer, Information, and Data Sciences (17 )
- Earth and Geosciences (21 )
- Engineering (29 )
- Environmental and Marine Sciences (14 )
- Life Health and Medical Sciences (51 )
- Mathematics and Statistics (11 )
- Physics (16 )
- Science & Engineering-related (2 )
- Social and Behavioral Sciences (29 )
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