We are hiring one Graduate Research Assistant (GRA) to work on a two-year research project to model and simulate attacks on various supply chains. Specifically, the student will employ data- and theory-driven modeling of malicious actors who aim to disrupt supply chain networks. The student will work directly with me and periodically interact with project stakeholders. There will be many opportunities to publish research papers, engage with an interdisciplinary team of scholars, and attend academic conferences.
A successful applicant should/will be a graduate student in the Computational Social Science program and work in the Center for Social Complexity at George Mason University. The other investigators who work in this project are Drs. Sean Luke, Carlotta Domeniconi, and Andrew Crooks.
- Experience in agent-based modeling, preferably in MASON (Java-based open-source framework).
- Implementing social science theories of human behavior in code
- Experience in machine learning
The position is expected to start in the Fall 2021 semester.
The compensation of the position is based on College of Science rates for GRAs including tuition, employment in summers, and student health care coverage. Extension of the position is subject to funding and student performance.
How to Apply:
Send your CV and a paragraph in the form of a cover letter describing your research interests to Dr. Hamdi Kavak (firstname.lastname@example.org).
George Mason University is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason’s diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.
George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.