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Postdoc Researcher - Software Architecture & AI at Software Engineering Institute

About the team:
The SEI’s Architecture Design, Analysis, and Automation (ADAA) Initiative focuses on developing next generation tools to support modern software development and developing repeatable, scalable practices for AI/ML systems. Our group uses software architecture to assist organizations that need to design, develop, evolve and sustain large-scale, complex, mission-critical systems.

We are seeking a Postdoctoral Researcher to assist in implementing and extending our established research program. Activities will include: creating and extending our body of work in software architecture, validating new concepts through prototyping, engineering demonstrations in industry and government settings, and accelerating the transition of proven methods to practice.

You will contribute to shaping the research agenda in developing automated, repeatable, scalable architecture design and analysis tools and techniques to improve modernization efforts in industry and DoD. In this role, you’ll have the opportunity to have a significant and lasting influence on an evolving body of technical research and practice.

Position Summary:
This position will be responsible for:

•Contributing to ongoing research efforts, building new research directions, and validating ideas in customer settings
•Defining and developing research strategies and projects, participating in and leading research teams
•Working with collaborators and customers to apply research to real world systems and analyze outcomes
•Communicating the results of his/her research, through publication and presentations in peer-reviewed venues

Requirements:
•PhD in Software Engineering, Computer Science, Information Systems, AI/ML, or related discipline.


You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance. US Citizenship is required.
•Willingness to travel to various locations to support the SEI’s overall mission. This may include national travel to sponsor sites, conferences, and offsite meetings on occasion (up to 30%)


Knowledge, Skills and Abilities:
Must have experience in software architecture design and analysis research and/or practice architecting systems or applying AI/ML techniques to software engineering problems, which shall include specific experience in:

•Performing research in one or more of the following concentrations: architectural design, code analysis, search-based software engineering, programming languages, data architectures, continuous integration, applying AI/ML techniques to software analysis, engineering AI systems
•Applying architecture-centric methods and techniques on production systems, in particular for sustainment and modernization problems
•Publishing at least three (3) papers (with at least one (1) as lead author) in peer-reviewed related venues

Desired Experience:
•Using software architecture and design tools and languages (e.g., UML and Enterprise Architect) to develop and evolve software
•Using common object-oriented programming languages (e.g., C++, Java, C#) and development tools (IDEs, static code analysis tools, unit testing frameworks, DevOps tools) in a team environment
•Application of AI/ML techniques to software engineering problems, e.g. search-based software engineering or using ML for software artifact analysis
•Ability to lead technical teams, and to work effectively on small and large teams
•Writing and presenting funding proposals
•Strong written and verbal communication skills, including presenting to small and large audiences in academic and industrial / government settings

More Information
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

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