PHD - probabilistic generative models for dynamical systems

Bosch packaging technology/osgood industries, inc.

• Renningen

neues Angebot (05/03/2020)

stellenbeschreibung

Job Description * Create something new:
You develop the mathematical taxonomy of dynamical system models based on dynamical system properties typically considered in the literature

* Help Shape The Future

:

you implement a set of generative models and their application as benchmark problems. * take responsibility:

you are involved in literature scouting and building close contact to the academic community including collaborations. * integrated implementation:

you are responsible for publications in top-tier conferences and journals. * experience cooperation:
you lead technical discussions within the bosch center for artificial intelligence (bcai) research team and you are the supervision of master students. qualifications:

personality:

confident, independent and own responsible working practice:

strong teamplayer and strong intrinsic motivated experience and knowledge:

basic experience with mathematical modelling, strong mathematical background, ideally with experience in dynamical systems theory qualifications:

strong programming skills in python or matlab, ideally with experience in probabilistic modelling languages:

good english skills education:
master of science in machine learning, mathematics, computer science, physics, engineering or related fields

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PHD - probabilistic generative models for dynamical systems
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