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Applied Optimization (AO) Job Description
Job Title: Applied Mathematics & Statistics Intern Reports to: Principal Scientist
FLSA Status: Part-Time (Non-Exempt) Department: Space Science
Position Objective:

• To support an interdisciplinary team that develops new generation scientific algorithms in space science through mathematical modeling, statistical analysis, applications of machine learning and artificial intelligence techniques, and implements these into numerical analysis and software deliverables to our customers.

Essential Functions:

• Support the development and testing of mathematical models of real data
• Support the implementation of mathematical formulae and algorithms into software code
• Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms
• Support modifying and debugging code
• Perform verification and quality assurance for new and existing mathematical algorithms and code
• Help prepare and review presentations, papers, and reports to convey statistical analysis, mathematical modeling, and software development to customers
• Ensure accuracy of your work and follow procedures in documenting work; maintain notebook of daily activities and provide weekly reports of work
• Other duties as assigned

Required Qualifications:

• Undergraduate or graduate student currently enrolled in a program related to the field of mathematics or statistics with a superior academic record
• Basic understanding of software development and knowledge of various programming languages
• Attention to detail and effective time and schedule management skills
• Effective organizing, planning, and problem-solving skills
• Ability to adapt within a small team to support evolving customer requirements
• Ability to adapt between and balance work falling under a range of research topics including additive manufacturing, space research, and optics
• Ability to execute instructions and communication in written, oral, and diagram form
• Demonstrated strong writing, fact-gathering, and analytical skills
• Basic computer skills including, but not necessarily limited to, Microsoft Office products (e.g., Outlook, Word, Excel, and PowerPoint)

Preferred Qualifications:

• College sophomore or higher with cumulative GPA (Grade Point Average) of 3.5 or higher
• A minor or dual degree in computer science or computer engineering
• Theoretic knowledge and experience of Agile software development practices and UML
• Knowledge or experience in Python, MATLAB, and/or C++ programming languages
• Knowledge or experience in Git management and use for collaborative projects
• Experience with machine learning, artificial intelligence, and numerical optimization techniques

Citizenship/Security Clearance Requirements:

• U.S. Citizen or Green Card Holder
• May be required to obtain and maintain U.S. Government Security Clearance

About Our Internships:

• Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the student's class schedule. The weekly hours can be adjusted to balance for the examinations, tests, and project submissions.

Employment Structure:

• In-office attendance is required; remote work is not available at this time.

About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at www.appliedo.com.
This job description is subject to change.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law.
Applied Optimization
About Us
Since 1995, Applied Optimization, Inc. (AO) has been collaboratively discovering innovative solutions in material science and space science to address the technical challenges of our clients and partners in industry and government. Offering the right balance between critical thinking and non-conformity, our team of scientists, engineers, mathematicians, and software developers strive to further the understanding and state-of-the-art of additive manufacturing (AM), materials processing, space situational awareness, and space object characterization. Our software products' capabilities include optimizing AM process parameters, mitigating defects in build parts, and processing and exploiting photometry data from Earth's space domain.
Our Focus
We focus on interdisciplinary research and development of space science and materials science. From analyzing brightness data from man-made space objects in earth's orbit to mathematical modeling in AM processes, Applied Optimization's team is adept at assessing, researching, and developing optimized solutions for today's technological problems. We customize our technical solutions to customer needs to ensure specific answers for specific problems Our innovative solutions are designed to provide results when utilized in a client's day-to-day processes.
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