Michigan State University, FRIB Theory Alliance

Position ID:MSU-FRIBTA-BAYES [#13154]
Position Title: TALENT Course 11: Bayesian Methods and Machine Learning
Position Type:Postdoctoral
Position Location:York, England, United Kingdom [map]
Subject Area: Physics / Nuclear Physics
Appl Deadline:2019/03/31help popup finished (2019/01/22, finished 2019/07/01, listed until 2019/07/21)
Position Description:    

*** this position has been closed, and no new applications will be accepted. ***

Apply for the TALENT course on  "Learning from Data: Bayesian Methods and Machine Learning" at the University of York in York, UK, from June 10 to 28, 2019. The principal lecturers will be Christian Forssén, Dick Furnstahl, Daniel Phillips, and Ian Vernon. See http://nucleartalent.org for further information on this course.

Applications should include (all uploaded to this site):

  • a one-page description (Cover Letter) of motivation for taking the course and a statement if local support is needed; 
  • a brief description of academic and scientific achievements to date (Research Statement); 
  • a curriculum vitae (CV); 
  • one letter of recommendation submitted by the academic supervisor. 

Please contact Dick Furnstahl (furnstahl.1@osu.edu) if you have problems or questions about submitting your application.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
FRIB Theory Alliance

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