Space Sensing AI/ML Researcher - AFRL/RVSU
Apply NowCompany: Air Force STEM
Location: Albuquerque, NM 87121
Description:
Job Overview
This announcement will be accepting applications from August 1, 2024, to August 30, 2024.
The primary responsibility of this position is to design, develop, and test machine learning and other innovative methods for cloud-based and on-orbit/edge computing by distributed space sensor networks employing dynamic, multi-phenomenology and multi-modality data collection processes (for example, EO/IR, radar, and RF). These efforts will directly support a proliferated space-based sensor network architecture supporting USSF goals of assured, resilient, and timely information for warfighter decisions.
The focus of this position is:
There are numerous benefits that come with working for the Federal Government. For more information, please refer to the following website: https://www.opm.gov/search#benefits.
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
Desired Qualifications
(Req No. 31348)
Series
08XX
1310
1330
1520
1550
This announcement will be accepting applications from August 1, 2024, to August 30, 2024.
The primary responsibility of this position is to design, develop, and test machine learning and other innovative methods for cloud-based and on-orbit/edge computing by distributed space sensor networks employing dynamic, multi-phenomenology and multi-modality data collection processes (for example, EO/IR, radar, and RF). These efforts will directly support a proliferated space-based sensor network architecture supporting USSF goals of assured, resilient, and timely information for warfighter decisions.
The focus of this position is:
- To develop and demonstrate automated/autonomous data processing workflows in order to evaluate the performance of existing sensor designs, as well as to guide the development of new sensing concepts, for space-based surveillance of moving objects in challenging environments.
- In addition to developing strategies for automated/autonomous detection of moving objects, this position conducts technical efforts that analyze, validate, and assess the quality and latency of information that is derived from diverse sensor data sets. This position also conducts analysis of space-based imagery and simulated background scenes as viewed by space sensors to develop and optimize AI/ML methods for object classification and identification.
- This position works closely with an advanced electro-optical and infrared (EO/IR) sensor development team that is conceptualizing and prototyping state-of-the art space-based surveillance technologies. There is an opportunity to collaborate with a diverse group of teams within AFRL, with other government, industry, and academic entities in the space community, contributing to sensor development from R&D through design, build, test, launch, and flight.
- The selected candidate would have the opportunity to communicate progress to audiences both verbally at technical conferences and in writing for high-impact scientific journals. Candidates would lead or contribute to drafts and revision of technical reports, papers, articles, presentations and summaries on R&D activities and related efforts.
There are numerous benefits that come with working for the Federal Government. For more information, please refer to the following website: https://www.opm.gov/search#benefits.
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
- US Citizenship.
- Must possess a professional science or engineering (S&E) degree from an accredited academic institution.
- Demonstrated knowledge of application of AI/ML/DL concepts for autonomous decision-making; EO/IR spectroscopy, cloud computing technologies, AI/ML computing hardware/software.
- Must be able to obtain and maintain a Top Secret security clearance.
- Ability to pass random drug testing; this is a drug testing designated position.
- Must be able to obtain Acquisition Professional Development Program (APDP) Level I (Foundational), Critical, Certification in Engineering and Technical Management (N). The selectee will have 24 months to meet APDP requirements or a waiver must be obtained.
Desired Qualifications
- One year of specialized experience at the DR-02/GS-13 or equivalent grade level. Specialized experience is experience providing the capacity and skills for working independently, leading collaborative events, working in teams and using these approaches to find and solve complex problems. Such experience may also include training, collaborative process facilitation, innovation design practice, writing background, editing job roles, continuous process improvement credentials, multi-agency liaison work, published work in refereed technical journals, and/or briefings to large groups.
- For this position, education or experience in the following areas is helpful and desired: deep learning, algorithm design and optimization, moving object detection methods, EO/IR and radar imagery, satellite constellation configurations, and space-qualified processors.
(Req No. 31348)
Series
08XX
1310
1330
1520
1550