The Department of Mathematics and Mathematical Statistics at Umeå University is opening a PhD position in mathematical statistics, focused on statistical learning with sparsity and deep network models. The position is for four years of research, including courses at the graduate level. Last day to apply is August 30, 2019.
Modern statistical learning is at the forefront of the advances in data science and artificial intelligence, and the main objective of this doctoral position is to develop cutting-edge mathematical theory and the next generation of computational tools to address the challenges in these areas with an emphasis on learning with sparsity and other emerging data models, and to potentially explore their applications in AI, including medical imaging, automated quality control, and self-driving cars, evaluated on both simulated and real data.
Understanding and exploiting structure in data to extract useful information from big datasets with the purpose of making optimal decisions will be the main research thrust for this position, where we investigate data models ranging from sparsity, to rank constraints, to deep network models, such as generative adversarial networks.
For more information about this position and to apply, please visit