PHD - sabbatical in deep learning perception for autonomous driving

neues Angebot (05/03/2020)

stellenbeschreibung

Job Description The Deep Learning group at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for PhD students in the field of machine learning to perform an industry sabbatical for 3 - 12 months. Bosch, as one of the worldwide leading companies in the field of autonomous driving provides a unique experience to see where state-of-the-art AI techniques can be applied for the mobility of the future. At BCAI we build the foundation to generate real-world impact through cutting edge deep learning, with a strong focus on making neural networks for perception more safe, robust, and explainable. During the PhD sabbatical you will get the chance to develop and implement novel deep learning algorithms, and evaluate them on multi-modal open and Bosch datasets. Together with BCAI researchers you will perform original research, theoretical investigations, and aim to publish at top conferences

* Help Shape The Future

:
you take part at explaining decisions of deep learning algorithms for object detection and semantic segmentation and increasing the robustness of deep learning against natural variability and adversarial attacks. * observe, and think ahead:

you search automated architecture and hyper parameter optimization. * structured evaluation:

you use generative adversarial networks for synthetic data generation in driving scenarios. qualifications:

personality:

strong team player working practice:

excellent communication skills and analytical thinking experience:
minimum 1 year in a phd program in machine learning, preferably deep learning, or related fields like computer vision and in development and implementation of state-of-the art dl technologies. preferably strong experience with deep learning frameworks keras and tensorflow, very good publication record, at least one publication at top tier conferences in the field of machine learning or computer vision. qualifications:

proven programming skills, in particular python languages:

very good english skills education:
master of science in computer science, mathematics, or related fields

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