The Department of Mathematics, in conjunction with the Translational AI Center, at Iowa State University invites applications for two year postdoctoral position(s) with possible extension to a third year subject to availability of funding and satisfactory performance. The expected start date is August 16, 2024. The TrAC Postdoctoral Fellowship Program provides a unique opportunity to Postdoctoral researchers working with TrAC affiliated faculty members at Iowa State in AI+X areas, i.e., interdisciplinary research that integrates Artificial Intelligence (AI) with other high-impact domain areas. The TrAC Postdoc fellows will have the opportunity to (i) collaborate broadly with TrAC researchers as well as develop independent research ideas; (ii) build a strong curriculum development, teaching and mentoring track record; and (iii) network with a wide range of industry partners interested in AI+X. This opening is in scientific machine learning and/or numerical PDEs, aligning with research interests of Prof. Hailiang Liu. Topics of interest include data-driven modeling, optimal control with deep neural networks, optimization, numerical analysis, and numerical PDEs. The position has a 2-1 teaching load and a requirement to be involved with mentoring undergraduate students in research through the Iowa State Math Research Teams (ISMaRT). A complete application will consist of a cover letter, a current CV, a research statement, a teaching statement, and three letters of recommendation (at least one of which addresses teaching). All applications received by December 15th will receive full consideration. However, consideration of applications will continue until the position is filled. Applications should also be submitted online at: ISU system Required Minimum Qualifications
Preferred Qualifications
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status and will not be discriminated against. Candidates with the skills and knowledge to productively engage with diverse communities are encouraged to apply. |