PhD Scholarship in Machine Learning at Luleå University of Technology, Sweden

Study in Sweden

PhD Scholarship in Machine Learning: Luleå University of Technology (LTU) invites applications for a PhD student position in Machine Learning. This opportunity is part of the Machine Learning Research Laboratory’s initiative to explore advanced techniques for document analysis, contributing to significant societal transformation towards sustainability. The successful candidate will engage in innovative research, collaborate internationally, and gain valuable teaching experience.

PhD Scholarship in Machine Learning at Luleå University of Technology

Scholarship Overview

DesignationPhD Student in Machine Learning
Research AreaMachine Learning
LocationLuleå, Sweden
EligibilityMaster’s degree in Computer Science or related field, experience in Machine Learning, Deep Learning, and Statistics, proficiency in English
Duration4 years (with potential 20% teaching duties)
Application DeadlineAugust 30, 2024
Reference Number2011-2024



PhD Student in Machine Learning

Research Area

Machine learning focuses on computational methods enabling computer systems to utilize data for improving performance, understanding, and making predictions, with strong applications in various domains.


Luleå, Sweden


  • Academic Qualification: Master’s degree in Computer Science or a related field.
  • Skills Required: Experience in Machine Learning, Deep Learning, and Statistics.
  • Language Proficiency: Good command of English, both written and spoken.
  • Personal Traits: Highly motivated, enthusiastic, capable of independent and team work.

Job Description

The PhD student will participate in a project aimed at developing machine learning methods for document analysis, dealing with a variety of documents from historical manuscripts to modern blueprints. Responsibilities include:

  • Conducting experimental and theoretical research.
  • Publishing and presenting results at conferences and in scientific journals.
  • Collaborating with researchers and archives nationally and internationally.
  • Potential involvement in teaching activities up to 20% of the time.

How to Apply

Applicants should submit the following documents:

  • CV
  • Personal letter
  • Verified diplomas from high school and universities

Applications should be written in English or Swedish and marked with the reference number 2011-2024. Please apply through the specified apply button on the LTU website.

Contact Information

For more information, please contact:

Last Date to Apply

August 30, 2024

Reference Number


Join LTU in shaping the future with cutting-edge research and contribute to building sustainable societies worldwide!



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