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Postdoctoral Researcher in Distributed Machine Learning
1 month ago
Project Overview
The Division of Data Science and Artificial Intelligence (DSAI) at Chalmers tekniska högskola is seeking a postdoctoral researcher to contribute to the advancement of distributed machine learning techniques. This position aims to extend the existing understanding and methods for performing distributed machine learning tasks in current and emerging scenarios.
About the Division and Department
The DSAI division is involved in various research activities around data science and artificial intelligence. We strive to advance techniques for machine learning with guaranteed performance through theoretical analysis. The candidate will join an ongoing research program about distributed machine learning, aiming to provide a deeper theoretical insight into this subject and develop more advanced applied techniques.
Key Responsibilities
The successful candidate is expected to conduct research in the areas of distributed machine learning, extending previous results on performance, privacy preservation, and handling data heterogeneity. The topic of research and domain of application can be flexible, and the candidate is encouraged to suggest and pursue new directions or develop new collaborative efforts.
Qualifications and Requirements
We invite candidates with a wide range of relevant background to apply for this position. A PhD degree in a suitable field of research is required, which may include computer science, mathematics, electrical engineering, or similar areas. Experience in machine learning, distributed systems, or distributed optimization, and familiarity with theoretical analysis methods in machine learning, especially statistical approaches, are highly appreciated.
Contract Terms
This postdoc position is a full-time temporary employment for two years. Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
