The working group of Applied Statistics at the School of Business and Economics at Humboldt University Berlin is seeking for a Postdoctoral candidate (3/4 part-time employment for 6 months but expected extension by further 2.5 years and payment on a full-time basis) at the earliest possible date.
This research position is seeking for applicants aiming with a PhD in Statistics/Data Science. Profound knowledge in Statistics/Data Science, Mathematics with a specialisation in Statistics/Data Science or Computer Science with specialisation in Data Science is required.
Scientific research and teaching at the working group of Applied Statistics. The prospective candidate will develop statistical methods that build a bridge between Machine Learning (also deep learning) techniques and advanced Bayesian methods. This position is initially fixed for six months but extension is aimed at.
Completed PhD (or equivalent) in Mathematics (specialisation in Statistics/Data science), Computer Science (specialisation in Statistics/Data Science), Econometrics or a related field of research are required. Furthermore, advanced knowledge in machine or statistical learning, computational methods, Bayesian statistics and flexible regression models is necessary.
Please send your application (including a motivation letter, an academic curriculum vitae and contact information for two academic references), via Email as a pdf file (no larger than 10 MB) to Prof. Dr. Nadja Klein, firstname.lastname@example.org. Further enquiries can also be addressed to her.
Application deadline is 20th of March 2019.
Information about the research profile and further contact details can be found through the following link: https://hu-berlin.de/NK