Statistics, Tenure-track Faculty in Statistics 
Zurich, Switzerland
vor 20 Tg.
source : MathJobs.Org

Tenure-track Faculty in Statistics (TTFS)

Subject to the availability of funding, the School of Mathematics at Georgia Tech expects to make one or more tenure-track faculty hires in the area of Statistics.

This position presents exceptional opportunities in foundational research, in training programs, and in cross-disciplinary connections.

The School of Math is a key player in several Institutes and programs at Georgia Tech, including a new PhD program in Machine Learning, a cross-

disciplinary NSF-funded center in data science, a cross-disciplinary PhD program in Quantitative Biosciences, and cross-disciplinary Master’s degrees in Statistics and Quantitative Computational Finance.

In addition, Georgia Tech is pursuing complementary recruitment in related subareas of Industrial Systems and Engineering and Machine Learning, and the School plays leadership roles in the recently funded NSF-

Simons Center The Southeast Center for Mathematics and Biology, and in TRIAD, the cross-disciplinary NSF-funded center in data science.

  • Priority will be given to those candidates who : (1) show the potential to carry out research of exceptional quality at Georgia Tech;
  • 2) complement existing strengths in the School of Mathematics, listed at http : / / / faculty-research-

  • interests; (3) enhance connections to programs and units at Georgia Tech; (4) have strong potential for external funding;
  • 5) demonstrate enthusiasm and potential for supervision of junior researchers at all levels; and (6) have a demonstrated commitment to high quality teaching at both the undergraduate and graduate levels, as the duties will include teaching graduate and undergraduate courses.

    The potential for contributing to other School of Math strategic priorities, such as collaborating with other fields and engaging with diverse communities, will be considered a plus.

    For additional information on present and future needs in the School, see http : / / / employment-opportunities / .

    Candidates doing deep mathematical research in all areas of statistics will be considered,in particular, in high-dimensional statistics, nonparametric statistics and statistical foundations of machine learning.

    Appointments at the assistant professor level are preferred, but exceptional candidates at all ranks will be considered.

    A Ph.D. (or its equivalent) in Statistics or Mathematics or a closely related field is required. Applications should also include evidence of teaching interest and abilities.

    Candidates for Associate and Full Professor positions should submit a statement outlining their vision for leadership and service as a senior faculty member at Georgia Tech.

    Applications should consist of a curriculum vitae, including a list of publications, a summary of future research plans, evidence of teaching interest and abilities, and at least three letters of reference Applications should be submitted directly to http : / / www. In exceptional circumstances where electronic submission is not possible, applications may be sent to the Hiring Committee, School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332-

    0160, USA. For full consideration applicants are strongly encouraged to submit all materials before November 1, 2018. However, consideration of applications is ongoing until positions are filled.

    Applications by highly qualified candidates from groups underrepresented in the mathematical sciences are particularly encouraged, as well as those with the skills and commitment to engage productively with diverse communities.

    Georgia Tech is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local

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