Air Force STEM
Senior Computer Scientist
Air Force STEM, Rome, New York, United States, 13440
Job Overview
This job announcement will be accepting candidate submissions until December 16, 2024. NOTE: Must use MM/DD/YYYY date format for experience on resume
The Air Force Research Laboratory (AFRL), Information Systems Division (AFRL/RIS) is seeking a senior-level, DR-03, scientist and technologist to lead the research, exploration, and demonstration of the next generation of innovative Command and Control (C2) technologies that enable Air Force warfighters to achieve the Air Force's vision of Pulsed Machine Learning (ML) Operations CONOP solutions at speed-at-scale in the battlespace by innovating, developing, and integrating autonomous ML, information management, and system of systems technologies.
Duties include but are not limited to: Leads explorations, investigations, and assessments of the current limitations and state-of-the-art solutions for tactical information systems, warfighter integrated AI/ML & C2 decision processes, and applies knowledge to extend agile combat employment and tactical information systems to address future operational concepts, ensuring the right information is made available for operators. Leads research, design, and experimentation for information sharing utilizing diverse edge (mobile, attritable, distributed) information technologies, with technical focus areas including: decision and information autonomy, AI/ML battle management, resilient information dissemination, collaborative ML, and operation-focused adaptation & coordination of AI/ML for Disadvantage, Intermittent Connectivity, and Low Latency Environment (DIL), Agile Combat Employment (ACE) environments. Leads ML-based science and technology efforts complementing mission planning software systems including design and behavior of information systems that involve data & AI/ML pipelines with an understanding of AI/ML techniques, optimization, and lifecycle management systems to operationalize warfighter ML systems. Publish technical advancements resulting from work accomplished in conferences, with customers as required. Coordinate interactions with mission partners, peers, and management to understand requirements and challenges in the development of complex test activities. Prepares reports and briefings, coordinating with customers, peers, and management to understand requirements and challenges in the development of complex test activities. Leads technical activities and develops diverse solutions to enable adaptive, collaborative information, and ML solutions to complex, integrated C2 information/decision problems across C2 domains. Cultivates existing stakeholder engagements and fosters new relationships translating operational needs to technical/programmatic goals and objectives. Develops and manages the overall research strategies and guides the activities of individual team members. Publish technical advancements resulting from work accomplished in conferences, and other technical venues, in partnership and coordination with mission and research collaborators and customers, as required. Travel is a requirement of this position. 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 Males must be registered for Selective Service, see www.sss.gov Ability to obtain and maintain Secret security clearance S&E candidates must possess a professional Science or Engineering (S&E) degree from an ABET accredited academic institution. One year of specialized experience equivalent to the DR-II, or equivalent in other pay systems. Specialized Experience is experience directly related to the position that was performed at a level equivalent to the grade directly below the position This is an Acquisition Professional Development Program (APDP) position that requires Practitioner Level certification in Engineering & Technology Management (ETM). The selectee will have two years to meet ADPD requirements. Desired Qualifications
Demonstrated experience and team leadership in tech focus areas supporting innovations in Connectivity and Dissemination (CAD) and Advanced Command and Control (AC2) technologies A masters or PhD degree in Computer Science or Computer Engineering is highly desirable. Five (5) years' experience using or designing in data models and data representation methods Computer science and engineering fundamentals (data structures, algorithms, efficient program structures, computer structures, computer networking) Five (5) plus years' experience in designing, developing information management, and/or communication systems Experience working with and leading diverse teams Experience in Artificial Intelligence and/or Machine Learning tools and techniques Programming skills include: python, java, mobile SDKs, C/C++ Excellent written and oral communication skills
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
(Req.No: 05741)
Series
0854
1515
1550
This job announcement will be accepting candidate submissions until December 16, 2024. NOTE: Must use MM/DD/YYYY date format for experience on resume
The Air Force Research Laboratory (AFRL), Information Systems Division (AFRL/RIS) is seeking a senior-level, DR-03, scientist and technologist to lead the research, exploration, and demonstration of the next generation of innovative Command and Control (C2) technologies that enable Air Force warfighters to achieve the Air Force's vision of Pulsed Machine Learning (ML) Operations CONOP solutions at speed-at-scale in the battlespace by innovating, developing, and integrating autonomous ML, information management, and system of systems technologies.
Duties include but are not limited to: Leads explorations, investigations, and assessments of the current limitations and state-of-the-art solutions for tactical information systems, warfighter integrated AI/ML & C2 decision processes, and applies knowledge to extend agile combat employment and tactical information systems to address future operational concepts, ensuring the right information is made available for operators. Leads research, design, and experimentation for information sharing utilizing diverse edge (mobile, attritable, distributed) information technologies, with technical focus areas including: decision and information autonomy, AI/ML battle management, resilient information dissemination, collaborative ML, and operation-focused adaptation & coordination of AI/ML for Disadvantage, Intermittent Connectivity, and Low Latency Environment (DIL), Agile Combat Employment (ACE) environments. Leads ML-based science and technology efforts complementing mission planning software systems including design and behavior of information systems that involve data & AI/ML pipelines with an understanding of AI/ML techniques, optimization, and lifecycle management systems to operationalize warfighter ML systems. Publish technical advancements resulting from work accomplished in conferences, with customers as required. Coordinate interactions with mission partners, peers, and management to understand requirements and challenges in the development of complex test activities. Prepares reports and briefings, coordinating with customers, peers, and management to understand requirements and challenges in the development of complex test activities. Leads technical activities and develops diverse solutions to enable adaptive, collaborative information, and ML solutions to complex, integrated C2 information/decision problems across C2 domains. Cultivates existing stakeholder engagements and fosters new relationships translating operational needs to technical/programmatic goals and objectives. Develops and manages the overall research strategies and guides the activities of individual team members. Publish technical advancements resulting from work accomplished in conferences, and other technical venues, in partnership and coordination with mission and research collaborators and customers, as required. Travel is a requirement of this position. 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 Males must be registered for Selective Service, see www.sss.gov Ability to obtain and maintain Secret security clearance S&E candidates must possess a professional Science or Engineering (S&E) degree from an ABET accredited academic institution. One year of specialized experience equivalent to the DR-II, or equivalent in other pay systems. Specialized Experience is experience directly related to the position that was performed at a level equivalent to the grade directly below the position This is an Acquisition Professional Development Program (APDP) position that requires Practitioner Level certification in Engineering & Technology Management (ETM). The selectee will have two years to meet ADPD requirements. Desired Qualifications
Demonstrated experience and team leadership in tech focus areas supporting innovations in Connectivity and Dissemination (CAD) and Advanced Command and Control (AC2) technologies A masters or PhD degree in Computer Science or Computer Engineering is highly desirable. Five (5) years' experience using or designing in data models and data representation methods Computer science and engineering fundamentals (data structures, algorithms, efficient program structures, computer structures, computer networking) Five (5) plus years' experience in designing, developing information management, and/or communication systems Experience working with and leading diverse teams Experience in Artificial Intelligence and/or Machine Learning tools and techniques Programming skills include: python, java, mobile SDKs, C/C++ Excellent written and oral communication skills
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
(Req.No: 05741)
Series
0854
1515
1550