Assistant Professor - Data-driven Modeling and Simulation of Complex Systems
University of South Carolina Department: CAS Mathematics Advertised Salary Range: We offer a competitive salary and benefits package. Part/Full Time: Full Time About UofSC Diversity Statement Advertised Job Summary
The Department of Mathematics at the University of South Carolina is inviting applications for two 9-month tenure track Assistant Professor positions in data-driven modeling and simulation of complex systems. The candidate is expected to contribute to synergistically bridging important developments in emerging mathematical foundations in Data Science and Artificial Intelligence and numerical simulation of complex systems. A successful candidate is expected to teach at all levels in the Department of Mathematics, and to participate actively in the state-wide NSF-funded EPSCOR project on AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina. Required Education and Experience
Candidates must have a Ph.D. in Mathematics by the start date of employment, an outstanding research record, a commitment to effective teaching at the undergraduate and graduate levels, and a demonstrated potential for excellence in both research and teaching. Preferred Qualifications
Ph.D. in Mathematics Job Close Date Special Instructions to Applicant
All applicants must apply at USCJobs at ( as well as via MathJobs at ( A completed application will include a cover letter, curriculum vitae, description of research plans, and statement of teaching philosophy. In addition, four letters of recommendation should be made available through MathJobs. One of the letters should appraise the candidate's teaching ability.
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. To apply, please visit: EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.
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