Postdoctoral Researcher in Distributed Machine Learning and Optimization

5 days ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time

Project Overview

The Department of Data Science and Artificial Intelligence at Chalmers tekniska högskola is seeking a postdoctoral researcher to contribute to the development of advanced machine learning techniques for distributed systems. The successful candidate will join a vibrant research environment and collaborate with PhD students and other researchers to advance the field of distributed machine learning.

Key Responsibilities

  • Conduct research in distributed machine learning, focusing on extending existing methodologies to address privacy preservation, data heterogeneity, and other challenges.
  • Develop and apply theoretical analysis methods to improve the performance of distributed machine learning algorithms.
  • Collaborate with PhD students and other researchers to advance the field of distributed machine learning.
  • Assist with supervision of PhD students and participate in relevant teaching activities.

Requirements

  • PhD degree in computer science, mathematics, electrical engineering, or a related field.
  • Experience in machine learning, distributed systems, or distributed optimization.
  • Familiarity with theoretical analysis methods in machine learning, particularly statistical approaches.

Preferred Qualifications

  • Background in mathematical optimization, statistics, and theory of machine learning.

Contract Terms

This postdoctoral position is a full-time temporary employment for two years. Chalmers offers a stimulating and inspiring working environment in a dynamic and innovative city.



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