Established in 2016, the prize is awarded to an individual in their early career for research contributions in the field of uncertainly quantification.
The SIAM Activity Group on Uncertainty Quantification Early Career Prize (SIAG/UQ Early Career Prize) is awarded every two years to one individual in their early career for outstanding research contributions in the field of uncertainty quantification in the three calendar years prior to the award year.
The candidate’s work must contain significant research contributions to the field of uncertainty quantification. One key paper must be cited as evidence of the contributions, though a body of papers may be discussed in the nomination. The qualifying key paper must have been published in English in a peer-reviewed journal.
For the 2020 award, the paper must have been published between the dates of January 1, 2017 – December 31, 2019. The candidate must have been awarded their PhD no earlier than 2014 or may be a current graduate student. The key paper must have been published no more than three years after the candidate received their PhD.
Read the full prize specifications.
See all prizes with open calls for nominations.
Learn about the SIAM Activity Group on Uncertainty Quantification.
The SIAG/UQ Early Career Prize includes a certificate containing the citation. As part of the award, the recipient will be invited to give a brief talk at the SIAM Conference on Uncertainty Quantification. SIAM will reimburse the recipient for reasonable travel expenses incurred in giving the talk.
The prize will next be awarded in April 2020 at the SIAM Conference on Uncertainty Quantification.
The Chair of the SIAM Activity Group on Uncertainty Quantification and the Chair of the Prize Committee will announce the award at the SIAM Conference on Uncertainty Quantification and present the award to the recipient. An announcement of the award will appear in SIAM News, and on the activity group's website and newsletter.
Read more about the winner
Jan S. Hesthaven (Chair)James BergerShi JinRalph C. Smith
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