Ph.D. Student in Informatics: The School of Engineering at the University of Skövde, Sweden, invites applications for a fully funded PhD position in Informatics, focusing on Simulation, Digital Twins, and Artificial Intelligence for Production Optimization. The position is part of a strong applied research environment with close industrial collaboration, offering excellent opportunities to work on intelligent, adaptive, and sustainable manufacturing systems.
Ph.D. Student in Informatics (Simulation and AI for Production Optimization)
Designation
Doctoral (PhD) Student – Informatics
Research Area
- Informatics
- Simulation-based Manufacturing Systems
- Digital Twins
- Artificial Intelligence (AI)
- Reinforcement Learning
- Production Optimization
- Energy-efficient and Sustainable Manufacturing
- Decision Support Systems
Location
📍 University of Skövde, Sweden
Eligibility / Qualification
Applicants must meet the following requirements:
Educational Qualifications
- Master’s degree (advanced level) or at least 240 ECTS credits, including 60 ECTS at advanced level
- Minimum 60 ECTS at advanced level, including an independent thesis of at least 15 ECTS
- Background in Informatics, Computer Science, Information Technology, Industrial Engineering, Production Engineering, Automation Technology, or other closely related fields
Language Requirement
- English proficiency equivalent to Swedish English 6
- Accepted tests include:
- IELTS: Overall 6.5
- TOEFL: 90
- PTE: 62 (or equivalent)
Desired Skills & Experience
- Manufacturing systems modeling and Discrete Event Simulation (DES)
- Digital twins
- Machine learning and reinforcement learning
- AI-based production control and optimization
- Multi-objective optimization and predictive modeling
- Programming skills in Python, C++, or similar
- Experience with industrial collaboration
- Strong ability to work independently and manage research projects
Job Description
- Conduct doctoral research (80%) in simulation-based and AI-driven production optimization
- Develop digital twins and AI-driven decision support systems
- Apply reinforcement learning and predictive modeling for real-time adaptive production control
- Optimize production sequencing, resource allocation, and energy-efficient scheduling
- Contribute to teaching and administrative duties (20%)
- Collaborate closely with industry partners and research teams
📌 Employment Details
- Fixed-term position up to 5 years
- 100% employment (80% research, 20% departmental duties)
- Salary according to a local doctoral salary ladder
- Employment subject to admission to a doctoral program
How to Apply
🖥️ Apply online via: www.his.se/jobb
Click “Apply” at the bottom of the advertisement.
Required Documents
- Cover letter + Statement of Purpose (in English)
- Reference / Recommendation letter
- Curriculum Vitae (CV)
- Academic degree certificates and transcripts
- Master’s thesis
- Publications (if any)
📧 For publications that cannot be uploaded, contact:
hr-specialister.hr@his.se
(Publications must be submitted within one week after the deadline)
Last Date for Apply
🗓️ 25 January 2025
Reference Number
📌 HS 2025/782
Contact Information
- Stefan Ericson, Head of Division
📧 stefan.ericson@his.se - Dr. Masood Fathi, Associate Professor
📧 masood.fathi@his.se
📞 University Switchboard: +46 500-44 80 00
Union Contacts: Anders Johansson (Saco-S), Sonja Nohlgren (ST)
