Job Overview
This position will be accepting candidate submissions until 05 December 2024. NOTE: Must use MM/DD/YYYY date format for experience on resume.
The Air Force Research Laboratory’s Applied Analytics Branch (AFRL/RIED) seeks a highly motivated early career professional to conduct scientific research and technology development activities in support of the Air Force targeting software development. This position is located at the Information Directorates Rome, New York research site. This is a permanent position.
Potential research areas include:
- Application of AI/ML technology for Air Force (AF) and Space Force (SF) intelligence software systems
- Computational modeling of dynamic environments utilizing game engine technology
- Development of software and hardware for unique visualization technology utilizing AR/VR headsets
- Coding and modification of software for intelligence data processing
- Software development for intelligence data testbeds
- Mathematically-based simulation and modeling approaches as applicable to military operations.
Position duties include but are not limited to:
- Develop expertise in Air Force (AF) and Space Force (SF) information operations.
- Apply sound technical solutions to AF & SF challenges.
- Provide engineering support to RIED programs and research areas.
- Assist in technical design and data analysis for various RIED projects.
- Execute a variety of developmental duties designed to develop knowledge and skill in applying general computer science, methods and techniques.
- Performing computer science tasks of limited scope and difficulty.
- Foster collaboration with industry and government partners.
- Keep abreast of emerging technologies and professional developments to maintain current in the field.
- Use computers/computer software such as analysis tools and project tracking programs to solve software development problems and facilitate work.
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
- The ability to obtain and maintain the required Secret security clearance
- Males must be registered for Selective Service, see www.sss.gov
- This is a drug testing designated position. The incumbent will be subject to random testing.
- The ability to obtain and maintain a DOD TS/SCI clearance
- Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science.
- At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus.
- All academic degrees and course work must be from accredited or pre-accredited institutions.
- 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.
- One year of specialized experience equivalent to the DR-I, 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.
Desired Qualifications
- A Masters or PhD degree in Computer Science is desirable.
- Demonstrate the ability to work both as part of a team and independently in a dynamic work environment.
- Excellent analytical, interpersonal, verbal, and written communication skills to accurately document, report, assess situations, and make informed judgments.
- Professional knowledge of the theoretical foundations of computer science, including digital computer systems architecture and systems software organization.
- Professional knowledge of computer science and related disciplines to design, develop and adapt scientific methods and techniques to recommend solutions for computer problems.
- The ability to analyze, interpret and apply computer science procedures in a variety of situations and recommend effective solutions to senior scientists.
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. 07260)
Series
1550