Pennsylvania State University-posted 2 months ago
Full-time • Entry Level
PENN Saint UNIV, PA
Educational Services

The Department of Mathematics at The Pennsylvania State University (University Park Campus, State College, PA, USA) invites applications for a tenure-track Assistant Professor or an Associate Professor position in Computational Mathematics. While the primary focus is on recruiting candidates for the Assistant Professor level, candidates at the Associate Professor level may also be considered. The department seeks to expand its expertise in Numerical Analysis and Scientific Computing, with interest in areas such as numerical methods for PDEs, scientific machine learning, quantum computing, data-driven modeling, and data science. Candidates whose research complements existing strengths or fosters interdisciplinary connections across departments are encouraged to apply. Candidates for Assistant Professor must possess a Ph.D. (or equivalent terminal degree) in Mathematics or a closely related field by the appointment start date; must have demonstrated ability as a teacher or research worker; and must have shown definite evidence of growth in scholarly or professional achievement. Candidates for Associate Professor must possess the same qualifications as the assistant professor but must also provide evidence of an established reputation in scholarly or professional achievement. The department is committed to an inclusive academic community and welcomes applications from underrepresented groups. In addition to research in Mathematics or closely related fields, the position includes teaching in the Mathematics department at the undergraduate and graduate level, and service duties.

  • Conduct research in Mathematics or closely related fields.
  • Teach undergraduate and graduate courses in Mathematics.
  • Engage in service duties within the department and university.
  • Foster interdisciplinary connections across departments.
  • Ph.D. (or equivalent terminal degree) in Mathematics or a closely related field by the appointment start date.
  • Demonstrated ability as a teacher or research worker.
  • Evidence of growth in scholarly or professional achievement for Assistant Professor candidates.
  • Established reputation in scholarly or professional achievement for Associate Professor candidates.
  • Research experience in numerical methods for PDEs.
  • Experience in scientific machine learning.
  • Knowledge of quantum computing.
  • Experience in data-driven modeling and data science.
  • Inclusive academic community.
  • Opportunities for collaboration.
  • Support for diversity, equity, and inclusion initiatives.
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