Statistical Researcher in Machine Learning

6 days ago


Gothenburg, Västra Götaland, Sweden Göteborgs Universitet Full time

About the Role

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The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg invites applications for a doctoral student position in statistics and machine learning.

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Our division, Applied Mathematics and Statistics, conducts research within various areas including finite element methods, inverse wave propagation problems, stochastic partial differential equations, and data science. The project aims to explore the connection between deep and kernel learning, including how models learn, how they can be trained jointly, and how these methods can be used for flexible, interpretable, and robust modeling of large-scale biobank and cancer genomic data.

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To qualify for the position, applicants must have obtained a master's degree or a 4-year bachelor's degree in mathematics, applied mathematics, mathematical statistics, or another relevant field, or expect to complete such a degree prior to the start of employment. Good presentation and communication skills in oral and written English are required.

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Key Responsibilities

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  • Conduct research under the supervision of Professor Rebecka Jörnsten to develop methods that bridge the gap between classical statistics and deep neural networks.
  • Explore the connection between deep and kernel learning and its applications in data science.
  • Develop novel methods for modeling large-scale biobank and cancer genomic data.
  • Collaborate with researchers in the Applied Mathematics and Statistics division.
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Requirements

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The ideal candidate should have a strong background in mathematics, statistics, and programming. Experience in theory of deep neural networks, high-dimensional statistics, kernel methods, and programming is desirable.

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Applicants should submit their application, including all relevant work, such as bachelor's or master's thesis and articles, with an English summary if necessary.

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The employment is a fixed-term position limited to a maximum of five years, with four years of studies and up to one year of departmental work distributed during the whole employment period.



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