Publisher
source

Masood Fathi

1 month ago

Fully Funded PhD Position in Informatics: Simulation and AI for Production Optimization University of Skövde in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

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Country

Sweden

University

University of Skövde

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Information Technology
Predictive Modeling
Artificial Intelligence
Industrial Engineering
Python Programming
Energy Efficiency
Reinforcement Learning
Resource Allocation
Multi-objective Optimization
Automatic Control
Job Scheduling
Informatic
Digital Twins

About this position

The University of Skövde is offering a fully funded PhD student position in Informatics, with a research focus on simulation and artificial intelligence for production optimization. This opportunity is based in the Department of Engineering Science and is designed for candidates passionate about advancing intelligent, adaptive, and sustainable manufacturing systems. The doctoral project centers on leveraging digital twins, simulation-based multi-objective optimization, and AI-driven decision support systems to help manufacturing industries maintain stable production, optimize energy usage, and recover efficiently from disruptions.

As a doctoral student, you will engage in cutting-edge research involving reinforcement learning, predictive modeling, and real-time adaptive control. The aim is to dynamically optimize production sequencing, resource allocation, and energy-efficient scheduling. The research group is highly collaborative, with strong ties to industry, society, and academia, ensuring that your work will have significant practical and theoretical impact.

Applicants should have an advanced degree or equivalent (at least 240 ECTS credits, with 60 at the advanced level), including a thesis of at least 15 ECTS in Informatics or closely related fields such as computer science, information technology, industrial engineering, production engineering, or automation technology. English language proficiency equivalent to Swedish upper secondary course English 6 is required (IELTS 6.5, TOEFL 90, PTE 62, or equivalent). The selection process will also consider your experience in manufacturing systems modeling, simulation (DES), digital twins, machine learning, reinforcement learning, AI-based optimization, multi-objective optimization, predictive modeling, programming (Python, C++, or similar), industrial collaboration, and your ability to work independently and plan research.

This is a fully funded position for up to five years, with employment at 100% (80% doctoral studies and 20% departmental service). Salary is paid according to a local agreement for postgraduate students. The application deadline is January 25, 2026.

To apply, visit the University of Skövde's available positions page and click 'Apply' at the bottom of the advertisement. You will need to submit a cover letter (Statement of Purpose), reference/recommendation letter, CV, certificates/grades, academic degree and transcript, master's thesis work, and any relevant publications. For further information, contact the Head of Division, Stefan Ericson ([email protected]), or Associate Professor Masood Fathi ([email protected]).

This position is ideal for candidates seeking to contribute to the future of manufacturing through advanced informatics, simulation, and AI research in a supportive and innovative academic environment.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must have an advanced degree or at least 240 ECTS credits (with at least 60 at the advanced level), or equivalent knowledge. At least 60 ECTS credits, including a thesis of at least 15 ECTS at the advanced level, in Informatics, related applied areas, or other relevant subjects such as computer science, information technology, industrial engineering, production engineering, or automation technology. Documented English proficiency equivalent to Swedish upper secondary course English 6 (IELTS 6.5, TOEFL 90, PTE 62, or equivalent). Additional assessment criteria include proficiency in doctoral-level education, experience in manufacturing systems modeling, simulation (DES), digital twins, machine learning, reinforcement learning, AI-based optimization, multi-objective optimization, predictive modeling, programming (Python, C++, or similar), industrial collaboration, and independent research planning and execution.

How to apply

Apply via the University of Skövde website by clicking 'Apply' at the bottom of the advertisement. Prepare and attach a cover letter (Statement of Purpose), reference/recommendation letter, CV, certificates/grades, academic degree and transcript, master's thesis work, and publications. Follow the instructions provided on the application page.

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