GE Aerospace Research - Operations Research Fellow Internship
- Contribute to projects that deploy robust decision models to enterprise level systems for wide array of GE Aerospace's application areas in service, manufacturing and supply chain systems.
- Apply your academic knowledge to real-life technical problems.
- Develop your research skills in a collaborative workplace.
- Participate in professional development & networking opportunities that enhance your leadership and communication skills.
- Developing algorithms for distributed cloud-computing frameworks that solve large-scale problems modeling complex systems
- Collaborating with experts in an interdisciplinary environment to develop theoretical and practical approaches for solving real-world problems
- Patenting your inventions and develop a record of publication via conferences and peer reviewed journals
- Code quick prototype analytics tools for early phase of software systems production
- Clearly and professionally communicate progress and results of your research with the team, business leaders, customers and technology providers
- Current or upcoming enrollment in a full time Ph.D. program at an accredited university majoring in Statistics, Computer Science, Operations Research or related STEM discipline.
- Willing to work out onsite at the GE Aerospace Research facility in Niskayuna, NY.
- Minimum GPA 3.0 / 4.0 scale
- Legal authorization to work in the U.S.
- Strong theoretical knowledge of probabilistic models, algorithms and optimization
- Demonstrated capability to rapidly develop prototypes to validate theoretical models with empirical observations
- Demonstrated development skills and documentation capability in Python, R, SAS, MATLAB, CPLEX and/or AnyLogic
- Humble: respectful, inclusive, curious/inquisitive
- Transparent: clear communicator, collaborator, creative problem solver
- Focused: sets strategic priorities, uses data to make decisions, critical thinker
- Desire to grow your career within the aerospace & defense industry.
- Candidates eligible to work on U.S. Government projects involving CUI (Controlled Unclassified Information) preferred.
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