Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Fully Funded PhD student position with a specialization in Computer Vision-Based Augmented Reality

   Engineering Science

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Assoc Prof Masood Fathi  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The research will focus on developing solutions that use computer vision-enhanced augmented reality (AR) to provide guidance

and information as well as collect data from the shop floor by recognizing movements and object detection. This research

examines how computer vision-based AR supports production and automation in smart environments. The doctoral project

explores how emerging portable interaction technologies (e.g., AR glasses) assisted by computer vision and artificial intelligence

can help the industry improve product quality and safety and increase work efficiency. The doctoral project will take place in

close collaboration with industry, among others, ABB and Xylem water solutions. As a doctoral student, you will collaborate

with our industrial partners and also have a supervisor from the industry. Due to this, you might be required to travel and spend

time with our industrial partners in Sweden.

The PhD student position is offered within the area of informatics, which at the University of Skövde, is defined as the science

that studies how information is represented, processed, and communicated in artificial and natural systems, and how such

systems are used and developed in order to achieve usable and effective applications and solutions for individuals, organizations

or society.

The employment concerns:

The main duties of the doctoral student are conducting research and performing departmental services and the administrative

work that comes with these tasks. Additional duties may be involved in the position.

The qualification requirements are:

• obtained a degree at the advanced level, or completed at least 240 higher education credits (ECTS), of which at least 60

credits are at the advanced level, or acquired essentially equivalent knowledge within or outside Sweden.

• completed course requirements of at least 60 higher education credits (ECTS), including independent thesis work

comprising at least 15 higher education credits at the advanced level in industrial engineering, production engineering,

computer science, information technology, automation technology, or other relevant subject areas

• Documented English language proficiency equivalent to the Swedish upper secondary course English 6. This can also be

demonstrated by internationally recognized tests such as IELTS (overall score of 6.5), TOEFL (total score of 90), PTE

(total score of 62), etc.

In addition to the qualification requirements, the bases of evaluation for this position are:

• Good ability to assimilate knowledge at the research level.

• Good knowledge and experience in computer vision, artificial intelligence, and machine learning.

• Good knowledge and experience with image recognition & processing, and object detection & recognition.

• Good knowledge and experience with augmented and virtual reality.

• Good knowledge and experience of programming in, e.g., C/C++/C#, Python.

• Documented successful collaboration and experience of working with industry.

• Documented good ability in teamwork and good ability to work both independently and in groups.

• Documented good ability to plan, organize and achieve set goals.

In this employment, great emphasis will be placed on good knowledge and experience in computer vision, artificial intelligence,

and machine learning, good knowledge and experience with image recognition & processing and object detection & recognition,

good knowledge and experience with augmented and virtual reality, as well as good knowledge and experience in computer

programming (e.g., C/C++/C#, Python).

The University of Skövde works to actively prevent discrimination through efforts to maintain and improve an inclusive work


The employment is fixed-term employment up to and including the completion of a doctoral degree, however, for a maximum

of 5 years. The scope of employment is 100%, of which 80% doctoral studies and 20% departmental service. Salary is paid in

accordance with a local agreement on a salary ladder for postgraduate students. Only those who are admitted or have already

been admitted to a doctoral program may be employed as doctoral students.

Deadline for applications: February 15th 2023

Reference no.: Ref nr HS 2022/783

Contact details:

For further information, please contact the Head of the Division, Kristens Gudfinnsson ([Email Address Removed]) and Associate Professor Masood Fathi ([Email Address Removed]). Union information is provided by Anders Johansson (Saco-S) or Sonja Nohlgren (ST). All personnel can be reached via the University's switchboard 0500-44 80 00.


You apply for the position at our website,, by clicking “Apply” at the bottom of the advertisement. Please submit below listed documents:

• Cover letter including a Statement of Purpose where you explain in English your motivation, research interests and

expectations from the doctoral program

• CV

• Certificates/grades and other qualifications that you want to invoke

• Academic degree and transcript

• Thesis work

• Publications

Contact the HR department at [Email Address Removed] if you have publications that cannot be attached electronically directly

in the application. The publications must be received by the university no later than one week after the last application date.

According to the National Archives' regulations, the University is obliged to keep application documents for two years after the

appointment decision. If you, as an applicant for a job, specifically request your documents back, they will be returned when the

two years have elapsed, otherwise they will be discarded.

Computer Science (8) Engineering (12)
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

 About the Project