Employment Opportunities

Associate Research Engineer

Apply now Job No: 498290
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Staff, University Staff
Department: Advanced Composites - 4335
Pay Grade: P1/P2 - Exempt
Advertised:
Applications close:

Position Summary: The Advanced Composites Group that is part of the Structural Materials (SM) Division at the University of Dayton Research Institute (UDRI) is seeking a highly motivated and talented engineer to join a multidisciplinary research group to design and test morphing aerospace structures of interest to the Air Force. The position is well suited to a graduating Ph.D. looking for a post-doctoral position, or a Masters graduate with relevant academic/professional experience. The successful candidate is expected to work with design engineers to integrate sensors into shape-changing aerospace structures. The ideal candidate should have experience designing and testing to collect mechanical properties detail (e.g., strain, force, torque, angle, etc.), as well as thermal responses of structures undergoing quasi-static and dynamic testing. Additionally, this candidate will be required to lead the planning and design of novel test fixtures and methods for multi degree of freedom systems. Knowledge of robotics and actuation mechanisms would be beneficial. The successful candidate is expected to provide technical expertise to the Air Force Research Lab (AFRL) research team to define and meet project objectives, and to summarize findings in technical reports, manuscripts, and presentations.
Minimum Qualifications:

P1 Minimum Qualifications
• Master’s in Mechanical, Materials, Electrical Engineering, or related field.
• Experience with commercial mechanical and thermal sensors and sensing technology.
• Experience is required in thermo-mechanical analysis of materials and structures.
• Proficiency in coding, lab, and finite element modeling software (Matlab, Labview, COMSOL, Abaqus, etc.)
• Must be able to perform analysis, interpretation and comparison of modeling results with experiments.
• Strong interpersonal skills and demonstrated ability to effectively communicate both written and verbally.
• Detail oriented and capable of completing multiple time-sensitive tasks.
• Must thrive in fast-paced, changing environment with minimal supervision.
• Applicants must be a Citizen of the U.S.A. and be able to pass a National Agency Check for continued employment.

P2 Minimum Qualifications
• Three years of directly related experience. Work experience gained during a Ph.D. program counts as a maximum of two years of directly related work experience.
• Ph.D. in Mechanical, Materials, Electrical Engineering, or related field.
• Experience with commercial mechanical and thermal sensors and sensing technology.
• Experience is required in thermo-mechanical analysis of materials and structures.
• Proficiency in coding, lab, and finite element modeling software (Matlab, Labview, COMSOL, Abaqus, etc.)
• Must be able to perform analysis, interpretation and comparison of modeling results with experiments.
• Strong interpersonal skills and demonstrated ability to effectively communicate both written and verbally.
• Detail oriented and capable of completing multiple time-sensitive tasks.
• Must thrive in fast-paced, changing environment with minimal supervision.
• Applicants must be a Citizen of the U.S and be able to pass a National Agency Check for continued employment.

Preferred Qualifications:

• Knowledge of machine learning algorithms and techniques.
• Knowledge of robotics and actuation mechanisms would be beneficial.

Special Instructions to Applicants:

 

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, women, protected veterans, individuals with disabilities, or on the basis of race, color, national origin, religion, sex, sexual orientation or gender identity.

 

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