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 software deliverable to our customers.
Essential Functions:
Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms
Support the development and testing of mathematical models of real data
Support the implementation of mathematical formulae and algorithms into software code
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 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 junior 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
Experience with machine learning, artificial intelligence, and numerical optimization techniques
Employment Structure:
In-office attendance is required; remote work is not available at this time
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.
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.