Job Description
We at the Bosch Center for Artificial Intelligence (BCAI) are developing platforms and products to deploy domain specific descriptive and predictive analytics. We are currently building a large scale automated forecasting platform capable of forecasting over hundreds of thousands of time series at all business levels within Bosch. This is highly rewarding work with a chance for high impact throughout the Bosch enterprise. In order to successfully expand this platform and continue our vision, we need to create intuitive and test-driven software that generalizes for multiple types of data. This internship position requires a candidate who has a good experience and knowledge in R or python, time series, probabilistic graphical models (PGMs).
Primary Responsibilities:
Qualifications
PhD in Computer Science, Mathematics, Statistics or any other related field with prior experience in forecasting, Bayesian inference and research.
We are specifically looking for candidates with a knowledge in any of the following areas:
Additional Information
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives