Job Overview

This job announcement will be accepting candidate submissions until 1700 EST on 3 JAN 2023. Position is open to all US Citizens.

The AFRL Materials and Manufacturing Directorate seeks to hire a motivated Research Engineer in the Digital Manufacturing & Supply Chain Branch (AFRL/RXMD) of the Manufacturing & Industrial Technologies Division. This position will be filled at the DR-02 (GS-12-13 equivalent) level and is located at Wright-Patterson Air Force Base in Dayton, OH. This position may be filled as a 5-year Modified Term Appointment (new government hires, current government term employees, etc.) with the option to later convert to a permanent appointment.

NOTE: Must use MM/DD/YYYY date format for experience entries on resume.

For resume writing tips, facts about the federal hiring process and additional resources, visit: https://www.usajobs.gov/Help/faq/application/documents/resume/what-to-include/

Position duties include, but are not limited to:

• Performs in-house research and development as a member of the Digital Manufacturing Research Team, developing and leading research projects in the areas that include advanced manufacturing, design optimization, and process control.

• Explores the integration of physics-based modeling for human expertise, artificial intelligence, and machine learning into digital manufacturing toolchains.

• Facilitates modularity and reuse of software that enables digital manufacturing and automation.

• Design for Manufacturing

• Designs approaches for manufacturing control in cluttered and noisy environments, including integration of sensors and feedback control.

• Participates in strong technical communication and collaboration amongst the Digital Manufacturing Research Team, RXMD, and the broader Air Force community.

• Participates in leading the research community of digital manufacturing through conference talks, publications, and external collaborations.

• Helps expand the current programmatic vision through awareness of future trends in their research community tied to their core competencies.

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
• Possess a professional science or engineering (S&E) degree, in a relevant technical field, from an accredited (or ABET accredited for engineering) academic institution
• Ability to obtain and maintain a Secret security clearance (for new hires); Possess and maintain a Secret security clearance (for current employees)
• This is an Acquisition Professional Development Program (APDP) position requiring Level 1 – Foundational certification in the Engineering and Technical Management stall. Applicants must list all completed APDP certifications on resume. Selectee will have 3 years to meet the APDP certification requirements of the position.
• COVID-19 Vaccination Requirement: To ensure compliance with an applicable preliminary nationwide injunction, which may be supplemented, modified, or vacated, depending on the course of ongoing litigation, the Federal Government will take no action to implement or enforce the COVID-19 vaccination requirement pursuant to Executive Order 14043 on Requiring Coronavirus Disease 2019 Vaccination for Federal Employees. Therefore, to the extent a Federal job announcement includes the requirement that applicants must be fully vaccinated against COVID-19 pursuant to Executive Order 14043, that requirement does not currently apply.

Desired Qualifications

• PhD in Mechanical Engineering, Materials Science & Engineering, Electrical & Computer Engineering, Computer Science, or a related field.

• Experience with advanced manufacturing techniques, such as additive manufacturing, metamorphic manufacturing, robotic assembly, etc.

• Experience with automation, especially robotics.

• Experience with Python, C++, and/or C#.

• Experience in applied control theory and/or optimization, including algorithm development for control and/or optimization.

• Experience developing, implementing, and/or using artificial intelligence and machine learning approaches in manufacturing or design applications.

• Demonstrated publication record and community engagement through contributed conference presentations.

When uploading documents, please utilize the naming convention listed below. The Requisition Number for this announcement is 35427:

• Resume: Req No_Last Name_First Name_Resume

• Transcript: Req No_Last Name_First Name_Transcript

• Latest SF50: Req No_Last Name_First Name_SF50

Acceptable file types: .docx, .pd

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