Postdoc Position in Machine Learning, Chalmers University, Sweden

Postdoctoral fellow in Sweden, Chalmers University of Technology

Postdoc Position in Machine Learning: A postdoctoral position is available for candidates interested in the rigorous study of fundamental problems in machine learning (ML). This role is part of a dynamic research group where you will have the opportunity to work, collaborate, and supervise projects that contribute to shaping the research direction of the group. The position offers extensive collaboration opportunities with researchers globally, supported by a strong network.

Postdoc Position in the Mathematical Foundations of Machine Learning

Designation:
Postdoctoral Researcher

Research Area:
Mathematical Foundations of Machine Learning

Location:
Gothenburg, Sweden
Department of Computer Science and Engineering (CSE), Chalmers University of Technology and the University of Gothenburg

Eligibility/Qualification:

  • A PhD in mathematics, physics, computer science, or a related field is required.
  • Proven track record of publications in reputable journals or conferences within the field.
  • Strong verbal and written communication skills in English.
  • The doctoral degree should have been awarded no more than three years prior to the application deadline. Exceptions may apply for periods of parental leave, sick leave, or military service.

Job Description:
As a postdoctoral researcher, you will play a crucial role in advancing the research group’s agenda by identifying and addressing unresolved challenges in the ML literature. You will conduct independent research and supervise PhD and potentially master’s students on projects aligned with your research interests or the principal investigator’s objectives. This position also offers the opportunity to develop leadership skills in managing the full research process, from conceptualization to the publication of results.

How to Apply:
Submit your application electronically, including the following documents in PDF format (maximum 40 MB per file):

  1. CV (include a complete list of publications, previous teaching and pedagogical experiences, and contact details of two references).
  2. Personal letter (1-3 pages introducing yourself, describing your previous research and main results, and outlining your future research goals and focus).
  3. Other documents (attested copies of completed education, grades, and other certificates).

Ensure that your application is complete, as incomplete applications or those sent by email will not be considered. Applications must be marked with 20240371 and submitted in English.

Last Date for Apply:
August 31, 2024

For any inquiries, please contact:
Assistant Professor Stefano Sarao Mannelli
Data Science and AI, CSE
stefano.sarao@gmail.com

Link

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