Computer Graphics and/or Visualization


For students interested in Computer Graphics and/or Visualization, there is an opportunity for a double degree Ph.D. study offered by the University of Ljubljana Faculty of Computer and Information Science (UL FRI) in collaboration with the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. There are 2 enrollment places available.


The double degree programme with KAUST is targeting the students who want to get in-depth knowledge and do high-quality research in Computer Graphics and/or Visualization empowered by machine learning through collaboration within the Visual Computing Center, where they will have access to state of the art hardware and will have an option to collaborate with top researchers from these fields.


This is a four-year study and takes place at both institutions where at least two and a half years need to be spent at KAUST and the rest at UL FRI. The Ph.D. candidate will have two mentors, one from each institution. The two universities recognize the ECTS credits that students acquire at the partner university. To successfully finish this double degree Ph.D. programme, it is required to fulfill the requirements of both institutions (UL FRI, KAUST). 

All the candidates go through the selection process. The study starts with the fall semester on October 1st. There is no strict deadline for application, but the application process will take some time, which needs to be considered. For more information and details, you can contact the study coordinator Assist. Prof. dr. Ciril Bohak ( Students have to follow deadlines to apply for Doctoral studies as well to be able to be enroled.


Distributed Machine Learning


The Faculty of Computer and Information Science, University of Ljubljana  (UL FRI) and King Abdullah University of Science and Technology (KAUST) in Saudi Arabia are developing new distributed deep learning approaches that will ensure further proliferation of intelligent ubiquitous computing applications. Within this line of research, we are calling for applications for a fully-funded PhD fellowship in the area of distributed machine learning.


The selected candidate will get a competitive salary, tuition expenses covered, free accommodation at KAUST, and access to state-of-the-art research equipment. The candidate will attend a four-year double PhD degree programme, spend two years at UL FRI, two years at KAUST, and will be jointly co-advised by prof. Marco Canini (KAUST) and prof. Veljko Pejovic (UL FRI).


A suitable candidate for this position should have the following skills:

  • Master degree in computer science or a similar field (e.g. computer engineering, electrical engineering) with the minimum GPA of 3.2. 
  • Strong mathematical and machine learning foundations; 
  • Programming in C/C++, mobile programming languages (such as Java and/or Kotlin), and Python;
  • Familiarity with Linux OS and scripting languages;
  • Excellent command of English.


For more information see the Call for Applications.


The applications are accepted on a rolling basis until August 1st 2022 or until the position is filled. Expressing your interest by contacting dr. Veljko Pejovic ( with your CV and a brief motivational letter (up to one page, describing why you should be considered for this position) should be done as early as possible.