The Division of Engineering at the company seeks to recruit a motivated Post-Doctoral Associate with a strong background in Control Systems and Machine Learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to Intelligent Transportation Systems (ITS).
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The successful candidate will conduct cutting-edge research, including:
- Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design.
- Creating and validating digital twin architectures that incorporate physical laws and constraints.
- Applying digital twin technology to ITS applications such as traffic management, vehicle routing, and infrastructure monitoring, as well as connected autonomous vehicles.
- Integrating multi-modal sensor data with physics-based models.
- Developing robust and adaptive methods for real-time parameter and state estimation.
- Implementing machine learning approaches that preserve physical constraints while handling ITS-specific challenges.
Required Qualifications:
- Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics, or related fields.
- Strong background in control systems, machine learning, and scientific computing.
- Programming proficiency and experience with simulation tools.
- Excellent publication record in peer-reviewed journals.
- Strong written and verbal communication skills.
Duration:
The initial appointment is for one year, with the possibility of extension based on performance and research output. The tentative start date of the position is September 1, 2025.
How to Apply:
Please submit the following documents in PDF format:
- Detailed CV
- Transcripts of Master’s and Ph.D. degrees
- Research statement (max 2 pages)
- Three representative publications
- Contact information for three academic references
Applications will be accepted immediately, and candidates will be considered until the position is filled.
What We Offer:
- Competitive salary package.
- Comprehensive benefits, including:
- Generous housing allowance.
- Transportation allowance.
- Travel allowance for conferences and research activities.
- Educational subsidies for children.
- Comprehensive medical insurance coverage.
- Relocation assistance package.
- Access to state-of-the-art computing resources and research equipment.
- Opportunities for professional development and networking.
- Collaborative and innovative research environment.
Language Requirements:
No specific language requirements are mentioned, but strong written and verbal communication skills are essential.
If you have any questions, please email Prof. Muhammad Umar B. Niazi at [email protected].
