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  • Writer's pictureOmran Aburayya

PhD Scholarship in Machine Learning at Luleå University, Sweden

PhD in Machine Learning

Luleå University of Technology in Sweden is inviting online applications for students aspiring a PhD scholarship in Machine Learning. The successful candidate will be part of a project that aims to explore machine learning methods for document analysis. Details below.


Project description

As a doctoral student, you will be part of a project that aims to explore machine learning methods for document analysis. The documents will range from historical documents to modern blueprints and circuit diagrams, from machine printed to hand drawn. The project includes developing new techniques, and methods to combine or adapt existing techniques so new classes of historical documents can quickly be recognized. You will work with researchers at LTU and regional and national archives in Sweden.



As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in scientific journals. Most of your working time will be devoted to your own research studies. In addition, you can have the opportunity to participate in teaching activities.

Employment as a doctoral student is limited to 4 years, teaching and other departmental duties can be added up to 20% of full-time. Starting date on 9 September 2024 or by agreement


Desired Qualifications:

  • You must have a master's degree in computer science or similar subject.

  • Experience with machine learning, Deep Learning and statistics.

  • Good knowledge of English in both speech and writing.

  • Capacity to work independently as well as in teams.


Application procedure and documents:

Interested candidates must submit their application through the online application portal and submit the following documents:

  • Personal letter of motivation

  • CV

  • Copies of verified diplomas from high school and universities

Application Deadline: August 30, 2024


Read full information about this position on the official webpage here



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