**Job Description**
The JMU Optimization & Algorithmic Theory (OAT) Lab is seeking up to four student research assistants to conduct theoretical and computational research on optimization algorithms. Responsibilities include theoretical and/or computational research, programming algorithms, deriving new theoretical results, maintaining meetings with the Principal Investigator, and preparing reports and presentations for conferences or outreach. The role is part-time (up to 20 hours/week) for the Spring semester, with potential for full-time extension in the summer. This grant-funded position is open to degree-seeking students from all majors, valuing cross-disciplinary expertise.
**Skills & Abilities**
• Knowledge of linear algebra
• Knowledge of calculus (sequences/series)
• Programming skills
• Understanding of proofs
• Knowledge of optimization concepts
• Reliability
• Eagerness and willingness to learn
• Good grades in mathematics (preferred)
• Experience/interest in optimization algorithms (theory and/or implementation) (preferred)
• Experience typesetting in LaTeX (helpful)
**Experience**
Other:
• Must be a degree-seeking student, enrolled on at least a half-time basis (6 credits for undergraduate and 5 credits for graduate)
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