University of Skövde Doctoral Student Recruitment 2026 | Information Technology (AI for Industrial Robotics)
Organization
University of Skövde
Fellowship Amount
Salary according to the Swedish doctoral salary scale and university regulations.
Overview
About the Organization
The University of Skövde is a leading public university in Sweden recognized for research excellence in engineering, informatics, artificial intelligence, manufacturing systems, health sciences, and digital technologies. The university collaborates closely with industry and international research partners to deliver innovative research and education.
About the Position
The Department of Engineering is recruiting a Doctoral Student in Information Technology specializing in Artificial Intelligence for Industrial Robotics.
The successful candidate will conduct doctoral research on intelligent robotic systems, AI-driven industrial automation, reinforcement learning, robot perception, simulation, and adaptive manufacturing systems while working within the university's Virtual Engineering Research Environment alongside industrial collaborators.
Research Areas
The PhD research includes:
- Artificial Intelligence
- Industrial Robotics
- Robot Perception
- Reinforcement Learning
- Intelligent Automation
- Robot Vision
- Digital Twins
- Smart Manufacturing
- Industrial Informatics
- Human-Robot Interaction
- Adaptive Manufacturing Systems
- AI-based Decision Support
Job Responsibilities
The selected doctoral student will:
- Conduct doctoral research in AI for Industrial Robotics.
- Develop intelligent robotic systems and autonomous control methods.
- Design AI algorithms for industrial automation.
- Work with robot perception and computer vision.
- Develop reinforcement learning models for robotic applications.
- Build simulation models and digital twin solutions.
- Collaborate with industrial partners.
- Publish research papers in international journals and conferences.
- Complete doctoral coursework and participate in departmental activities.
Eligibility Criteria
Applicants should possess:
- Master's Degree (or equivalent) in Information Technology, Computer Science, Artificial Intelligence, Robotics, Automation, Mechatronics, Electrical Engineering, or a related discipline.
- Strong academic background in AI, robotics, or intelligent systems.
- English language proficiency equivalent to Swedish higher education requirements.
Preferred Skills
- Python programming
- C++
- Machine Learning
- Reinforcement Learning
- Deep Learning
- Robot Operating System (ROS)
- RobotStudio
- Computer Vision
- Industrial Automation
- Digital Twins
- Simulation
- Smart Manufacturing
- Research publication experience (preferred)
Employment Type
- Full-Time
- Doctoral Student (PhD)
- Fixed-Term Academic Appointment
Salary
- Salary according to the Swedish doctoral student salary scale and applicable university regulations.
Duration
- Duration as per the University of Skövde doctoral education regulations (employment linked to PhD studies).
Why Apply?
- Fully funded doctoral position in Sweden.
- Work with internationally recognized AI and robotics researchers.
- Access advanced robotics laboratories and industrial collaborations.
- Research in cutting-edge AI and intelligent manufacturing.
- Excellent opportunities for publications and international networking.
- Strong career prospects in academia and industry.
How to Apply
Interested applicants must submit an online application through the University of Skövde recruitment portal.
Applications should include:
- Statement of Purpose / Motivation Letter
- Curriculum Vitae (CV)
- Degree Certificates and Academic Transcripts
- Master's Thesis
- English Language Proof (if applicable)
- Publications (if available)
- Other supporting documents specified in the advertisement.
Important Dates
- Application Deadline: 31 July 2026
- Position Type: Full-Time Doctoral Student (PhD)
- Reference Number: HS 2026/486
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Financial Support
Fellowship Amount: Salary according to the Swedish doctoral salary scale and university regulations.
Eligibility Criteria
Strong academic background in AI, Robotics, Information Technology, Computer Science, Automation, or related fields.
English language proficiency.
Test Scores Accepted
English language proficiency may be demonstrated through accepted qualifications such as IELTS, TOEFL, PTE, or equivalent, where applicable.
Important Dates
| 0 | Application Deadline: 31 July 2026 |
| 1 | Position Type: Full-Time Doctoral Student (PhD) |
| 2 | Reference Number: HS 2026/486 |
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