Postdoc Position in Automatic Control: Join the Division of Automatic Control at Linköping University for a postdoctoral position focusing on optimal motion planning and model predictive control (MPC) under uncertainty for autonomous systems. This research aims to develop advanced numerical methods integrated with AI and control theories to tackle complex motion planning problems.
Designation
Postdoctoral Researcher
Research Area
- Optimal Motion Planning
- Model Predictive Control (MPC)
- Uncertainty in Autonomous Systems
- AI and Optimal Control Integration
- Structure-Exploiting Optimization Algorithms
Location
Linköping University, Sweden
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Doctoral Degree | Required (awarded within the last three years preferred) |
| Field of Study | Automatic Control, Optimal Control, Statistics, Optimization |
| Programming Skills | Proficiency in Python and C++ |
| Experience | Knowledge of motion planning under uncertainty preferred |
| Other Skills | Strong communication and collaboration skills, ability to work independently |
Job Description
- Conduct research in the field of optimal motion planning and MPC under uncertainty.
- Develop state-of-the-art numerical methods for belief-space optimal motion planning.
- Integrate AI methods with optimal control strategies.
- Engage in teaching responsibilities (up to 20% of workload).
How to Apply
Interested candidates should apply by clicking the “Apply” button on the job listing page. Please attach the following documents:
- Selected research publications in PDF or Word format.
- Any additional required documents in the application template.
For research publications that cannot be sent electronically, please send three printed copies by mail to:
University Registrar,
Linköping University,
University Registrar,
S-581 83 Linköping, Sweden.
Ensure that all documents are received by the application deadline.
Last Date to Apply
December 31, 2025
For more details, visit the Linköping University Division of Automatic Control page.
