PhD Student in Machine Learning and LLM: The University of Geneva is inviting applications for a PhD position focused on the optimization of large language models (LLMs) to aid in the detection and management of exceptional health situations (EHS). This research initiative aims to develop machine learning algorithms capable of identifying early signals in health crises and optimizing healthcare systems’ responses in real time.
PhD Student in Machine Learning and LLM Optimization
Designation
PhD Student in Machine Learning and LLM Optimization
| Field | Details |
|---|---|
| Research Area | Machine Learning, Large Language Models, Health Crisis Management |
| Location | University of Geneva, Geneva, Switzerland |
| Eligibility/Qualification | Master’s degree in applied mathematics, theoretical physics, statistics, computer science, or a related field |
Description
The candidate will be enrolled in the doctoral school at the University of Geneva and will work in collaboration with the University Hospitals of Geneva (HUG). The project aims at integrating advanced machine learning techniques to:
- Optimize language models for interpreting weak signals that indicate potential health crises.
- Develop algorithms for predicting and modeling the impacts of such crises.
- Utilize AI and deep learning to enhance the allocation of healthcare resources.
How to Apply
Interested candidates are encouraged to submit their applications, which should include the following documents:
- CV
- Covering Letter
- Academic Transcripts
Please send your application to:
- Email: stephan.robert@hes-so.ch
- Email: douglas.teodoro@unige.ch
Last Date to Apply
Applications will be accepted until March 1, 2025.
This format presents all relevant details clearly, making it suitable for potential candidates interested in applying for the scholarship.
