Aufgabe:
* Plan, administer and deliver classes of a total of approximately 5 teaching contact hours per week (either in German or English). * Collaborate on research regarding approximate sampling of distributions, analysis of Markov chain Monte Carlo methods, Bayesian inference and algorithmic design in general on the borderline between Machine Learning and mathematics. * Organise and support conferences/sessions/workshops and grant proposals.Qualifikation:
* Must have a doctorate in mathematics, statistics, Machine Learning or a related field. o Strong theoretical background in at least one of the following areas: o Markov chain Monte Carlo o Quasi-Monte Carlo o Stochastic processes o Bayesian inference o Numerical benchmarkingWeitere Angebote in den Bereichen:
