Overview
This is an exciting opportunity for a fully funded PhD position at the University of Orléans, France, focusing on fair and privacy-preserving reinforcement learning in healthcare applications. The position is open to international candidates and emphasizes the development of algorithms that ensure equitable outcomes and maintain privacy in healthcare recommendations.
Background & Relevance
Reinforcement learning (RL) is a crucial area in artificial intelligence, particularly in healthcare, where it can optimize treatment recommendations. However, challenges such as fairness and privacy are paramount. Fairness-aware RL aims to ensure that algorithms provide equitable treatment across diverse patient demographics, while privacy-preserving methods safeguard sensitive patient data. Addressing these issues is vital for the ethical deployment of AI in healthcare, making this research highly relevant and impactful.
Key Details
- Position: Fully funded PhD
- Research Topic: Fair and Privacy-Preserving Reinforcement Learning for Healthcare Applications
- Location: University of Orléans, France
- Application Deadline: September 8, 2025 (applications reviewed on a rolling basis)
- Expected Start Date: November 2025 (flexibility possible)
- Stipend: Approximately €2,200 gross monthly, with annual increases
- Contact: pratik.gajane@gmail.com
Eligibility & Participation
This position is targeted at candidates with a Master’s degree (or equivalent) in fields such as Computer Science, Artificial Intelligence, Machine Learning, Data Science, or Applied Mathematics. Candidates from related disciplines with relevant experience in machine learning are also encouraged to apply. Strong analytical skills, a solid technical foundation in machine learning, and proficiency in English are essential. French language skills are not required.
Submission or Application Guidelines
To apply, candidates should send an email to pratik.gajane@gmail.com with the subject line: [PhD Application 2025a] – Your Full Name. Applications must include:
– A detailed CV highlighting relevant experience
– A motivation letter (maximum 2 A4 pages)
– Degree certificates and academic transcripts for BSc and MSc degrees
– Contact details for 2-3 referees
– An English language certificate (if applicable)
All documents should be combined into a single PDF file named according to the email subject line, with a maximum size of 20MB.
More Information
The Laboratoire d’Informatique Fondamentale d’Orléans (LIFO) provides a supportive research environment with access to experienced faculty and good facilities. The collaborative nature of this research, involving institutions like CNRS Orléans and international partners, enhances the learning experience and provides access to valuable clinical datasets. This position not only offers a chance to contribute to significant advancements in healthcare AI but also allows for professional growth through mentorship and networking opportunities.
Conclusion
This PhD position represents a unique opportunity for candidates interested in the intersection of AI, healthcare, and ethical considerations. Interested individuals are encouraged to apply and explore this promising research avenue, contributing to the development of fair and privacy-preserving AI solutions in healthcare.
Category: PhD & Postdoc Positions
Tags: phd, reinforcement learning, healthcare, privacy-preserving ai, fairness-aware ml, machine learning, university of orleans, france, data science, artificial intelligence, computer science, applied mathematics
