Dear all,
Kindly find attached a job announcement from the Munich Bayes
Forum, which may be of interest to some of you. The Munich
Astrophysics people may be quite open to IP.
Best wishes,
Thomas
Betreff: | [Bayes-forum: 148] Three post-doctoral positions on Bayesian machine learning |
---|---|
Datum: | Mon, 26 Jun 2017 21:30:53 +0200 |
Von: | Torsten En�lin <ensslin@MPA-Garching.MPG.DE> |
An: | bayes-forum@lists.mpe.mpg.de |
Dear Colleagues, please find attached job openings for three post-doctoral positions on model based Bayesian machine learning in the information field theory group at the Max Planck Institute for Astrophysics. The associated project seeks to develop a self-learning and self-organizing feedback control system which can be applied to different projects in astrophysics and industry. If you like to have an idea on what the industry component of this is, please get an impression from the following article: https://www.nature.com/news/smart-manufacturing-must-embrace-big-data-1.21760 In case you know a suitable candidate, I would be pleased if you could forward this e-mail. In case you are interested in this position, please apply. Many thanks and warm regards, Torsten Ensslin. -- _______________________________________ PD Dr. Torsten En�lin Max-Planck-Institut f�r Astrophysik Karl-Schwarzschild-Str. 1 85741 Garching, Germany tel: +49 (0)89 30000 2243 fax: +49 (0)89 30000 2235 email: ensslin@mpa-garching.mpg.de http://www.mpa-garching.mpg.de/~ensslin _______________________________________
-- Prof. Dr. Thomas Augustin Studiendekan / Dean of Studies AG Method(olog)ische Grundlagen der Statistik und ihre Anwendungen / Foundations of Statistics and Their Applications Institut f�r Statistik / Department of Statistics Ludwig-Maximilians-Universit�t M�nchen/ LMU Munich Ludwigstr. 33/II D-80539 M�nchen; Germany Tel. +49(0) 89/2180 3520 Fax. +49(0) 89/2180 5044 augustin@stat.uni-muenchen.de http://www.foundstat.statistik.uni-muenchen.de/index.html (new!) http://www.foundstat.statistik.uni-muenchen.de/forschung/forschung_int/index.html (new!) www.foundstat.statistik.uni-muenchen.de/forschung/publikationen/arten_publikationen/peer_reviewed.html (new!)