Job Overview

This announcement will be accepting candidate submissions until 05 SEPTEMBER 2024.

The Learning and Operational Training Core Research Area of the 711 th Human Performance Wing, part of the Air Force Research Laboratory (711 HPW/RHW), seeks to hire a highly qualified and experienced individual to lead in the advancement of state-of-the-art science and application, within the space of learning and operational training and human performance, for the United States Air Force and Space Force. This position requires significant focus on watching, leveraging, and leading in the development and application of research and commercial tools, in order to maximize Warfighter performance in Joint domains. The Learning and Operational Training Core Research Area emphasizes learning and understanding in the context of evolving technology. This includes research to establish an ecosystem that maximizes mission effectiveness while minimizing costs by matching technologies to learning and performance needs; supporting high resolution human and system measurement and quantitative, proficiency-centric readiness assessment and prediction at the individual and team levels; and exploring how to enable live and synthetic training systems and infrastructures to enable augmented, virtual and blended reality training,

Position Duties include, but are not limited to:

• Serves as principal investigator and co-investigator to lead and contribute to mission-driven, interdisciplinary research projects advancing knowledge and technical capabilities in support of US Air Force and US Space Force priorities, specifically focusing on modeling projects, operational tests, data mining, and exploratory work to produce novel Co-Learning models and technologies.
• Builds, enhances, and maintains predictive/machine learning models incorporating emerging Co-Learning principles.
• Works cooperatively with team members with human factors, statistical, architecture, simulation expertise.
• Collaborates with organizational and academic partners throughout the development process.
• Engages in and/or leads independent research projects to uncover and understand new Co-Learning tools, methods, and approaches.
• Creates new data assets to support computer science project work.
• Provides technical guidance to research and/or scientific teams to foster collaboration, promote synergy, encourage innovation, and ensure scientific rigor.
• Cultivates and sustains a professional atmosphere of cooperation, cohesion and teamwork.
• Facilitates communication and collaboration with HQ AF, MAJCOMS, COCOMS, HQ AFRL, AFRL TD's, other services, universities, and industry both nationally and internationally.
• Develops short presentations to communicate key messages and findings to colleagues, senior leaders, and partners.

Telework

Yes, this position is eligible for telework opportunities; as determined by agency policy

Remote Work (CONUS)

No, this position is not approved for remote work.

Required Qualifications

• United States Citizenship
• These are Acquisition Professional Development Program (APDP) positions and require a Level 2 certification (Practitioner). If not currently APDP Level 2, selectees will have 24 months to meet APDP requirements or a waiver must be obtained.
• These positions may be filled as a 5-year Flexible Length and Renewable Term Technical Appointment (new government hires, current government term employees, etc.) with the option to later convert to a permanent appointment.
• Security Clearance: The incumbent of these positions must possess or be able to obtain a Top Secret security clearance.

SPECIALIZED EXPERIENCE: Applicants must have at least one (1) year or 52 weeks of specialized experience equivalent to DR-02 in the Federal service or equivalent in an alternate pay system.

Applicants must also meet the Basic Qualification requirements for at least one of the following series: 0101 (Social Science), 0180 (Psychology), 0801 (General Engineering), 0854 (Computer Engineering), 1501 (General Mathematics and Statistics), 1515 (Operations Research), 1520 (Mathematics), 1550 (Computer Science), 1560 (Data Science). To view the Individual Occupational Requirements for this position click on the following links:

• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0100/social-science-series-0101/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/classifying-general-schedule-positions/standards/0100/gs0180.pdf
• https://www.opm.gov/policy-data-oversight/classification-qualifications/classifying-general-schedule-positions/standards/0800/gs0800p.pdf
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/general-engineering-series-0801/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/general-engineering-series-0854/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/general-mathematics-and-statistics-series-1501star/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/operations-research-series-1515/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/mathematics-series-1520/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/
• https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

Desired Qualifications

• MS or PhD in Computer Science, Engineering, Psychology, or related field; with a focus on statistical modeling or machine learning.
• Experience with developing diverse predictive/machine learning/statistical models and technologies from complex, specialized, or large data pools.
• Experience leading an interdisciplinary team in the development of complex models and technologies.
• Experience generating and investigating novel methods to address challenging unsolved or partially-solved problems.
• Well-developed technical skills include programming in one or more structured programming languages for statistical and/or numeric computing (e.g., Python, R, C++); building deep learning or generative AI models, or some combination thereof; and procuring, managing, and generating data.
• Comfortable in a multidisciplinary research environment with demonstrable experience in an interdisciplinary team or in a multidisciplinary research environment.
• Excellent writing and communication skills.
• Excellent time and project management skills with a demonstrable publication record.
• Experience designing, managing, and leading sponsored research with a demonstrable track record meeting reporting requirements.

The candidate must possess critical thinking skills, intellectual curiosity, and a willingness to keep looking for better solutions, along with the motivation to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development.

When uploading documents, please utilize the naming convention listed below.

Resume: Req No_Last Name_First Name_Resume

Transcripts: Req No_Last Name_First Name_Transcripts

Acceptable file types: .doc,.docx,.pdf

(Requisition No. 99713)

Series

0101

0180

0801

0850

0854

0858

1501

1515

1520

1550

1560

Air Force Research Laboratory (AFRL) employs approximately 11,500 military, civilian and contractor personnel, and manages a $7 billion portfolio of investments. The lab supports external customers and partners with industry while investing in basic research, applied research and advanced technology development. As one integrated lab, AFRL seamlessly supports the Science & Technology needs of two services: the Air Force and the Space Force.