⛔ This position is no longer available.
University: University of Haute-Alsace
Country: France
Deadline: 2026-05-30
Fields: Computer Science, Artificial Intelligence, Operations Research, Electrical Engineering, Applied Mathematics
Are you passionate about advancing sustainable mobility solutions through artificial intelligence and optimization? If you are eager to contribute to the future of electric vehicle infrastructure while developing cutting-edge research skills, this PhD opportunity in France could be your next academic milestone.
About the University or Research Institute
The University of Haute-Alsace (Université de Haute-Alsace, UHA) is a renowned public institution located in Mulhouse, France, recognized for its strong focus on applied sciences and engineering. UHA is home to the IRIMAS Institute, which specializes in mathematics, computer science, and automation. The university fosters a vibrant research environment, supported by interdisciplinary teams and international collaborations. Its location in the heart of Europe provides students with access to a diverse academic network, while the city of Mulhouse offers a dynamic blend of culture, innovation, and a high quality of life. France itself is known for its world-class higher education system, rich academic traditions, and generous support for research in science and technology.
Research Topic and Significance
The focus of this doctoral research is on developing hybrid artificial intelligence (AI) and optimization approaches to manage electric vehicle (EV) charging operations. As the adoption of EVs accelerates globally, the demand for efficient charging infrastructure has become a critical challenge. Managing the scheduling and allocation of multiple charging stations, considering operational constraints such as grid limitations and fluctuating user demand, is essential for the sustainability of future mobility systems.
This research aims to address these challenges by leveraging advanced optimization techniques and AI-driven methodologies. The significance of this work lies in its potential to improve the efficiency, reliability, and scalability of EV charging networks, thereby supporting the broader transition to clean energy and sustainable urban transport.
Project Details
The PhD position is based within the OMeGA team at the IRIMAS Institute, University of Haute-Alsace, and involves collaboration with the OPTIMIST team at Loria / Lorraine University. The project will engage the selected candidate in:
– Modeling optimization problems related to EV charging infrastructures.
– Designing and implementing advanced search algorithms.
– Developing hybrid AI-based optimization approaches.
– Conducting experimental evaluations and benchmarking studies.
– Implementing simulation and optimization tools using Python and/or C++.
– Contributing to scientific publications and international conferences.
The research environment encourages close interaction with leading experts from IRIMAS and partner laboratories, providing ample opportunities for academic growth and professional networking.
Candidate Profile
This opportunity is ideal for applicants who:
– Hold a Master’s degree in Computer Science, Operations Research, Artificial Intelligence, or a closely related field.
– Demonstrate strong proficiency in Python or C++ programming.
– Possess knowledge of optimization techniques, particularly metaheuristics.
– Have an understanding of artificial intelligence and machine learning principles.
– Experience with exact solvers (such as CPLEX or Gurobi) is advantageous but not mandatory.
– Are comfortable communicating and collaborating in either French or English.
The ideal candidate is motivated, innovative, and eager to tackle real-world challenges at the intersection of AI, optimization, and sustainable transportation.
Application Process
Interested candidates are required to submit the following documents:
– A cover letter detailing research interests and relevant experience.
– A comprehensive curriculum vitae.
– Academic transcripts from the last three years.
– Two reference letters.
Applications should be submitted as per the instructions provided in the official advertisement. For full details and to apply, please refer to the original LinkedIn post by the supervising professor:
Conclusion
This fully funded PhD position offers a unique chance to contribute to the evolution of electric vehicle infrastructure through advanced AI and optimization research. If you are driven by innovation and wish to make a tangible impact in sustainable mobility, consider applying for this exciting opportunity in France. Stay tuned for more academic positions and research opportunities in related fields.
Questions & Answers
Question: What career paths can this PhD prepare me for?
This PhD can lead to careers in academia, research institutions, or industry roles in smart mobility, energy systems, AI, and optimization. Graduates may also pursue positions in technology companies focused on sustainable transport or grid management.
Question: Is knowledge of both French and English required?
No, proficiency in either French or English is sufficient for team communication and project collaboration.
Question: What programming skills are most valued for this position?
Strong proficiency in Python or C++ is essential, as these languages are used for simulation, optimization, and algorithm development within the project.
Question: Will I have opportunities to collaborate internationally during the PhD?
Yes, the project involves collaboration with the OPTIMIST team at Loria / Lorraine University and participation in international conferences, fostering a global research perspective.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!
