PhD in ML and LLM Optimization applied to the Management of Exceptional Health Situations
Infos sur l'emploi
- Date de publication :14 février 2025
- Taux d'activité :100%
- Type de contrat :Temporaire
- Lieu de travail :Route de Cheseaux 1, 1401 Yverdon-les-Bains
The School of Engineering and Management (HEIG-VD - Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud, www.heig-vd.ch ) offers Bachelor and Master programs in engineering and business management, and a large number of advanced diploma and certificate programmes.
With its 2,500 students, it is the largest partner in the University of Applied Sciences of Western Switzerland (Haute École Spécialisée de Suisse Occidentale - HES-SO, www.hes-so.ch ).
Its applied research and development activities are carried out within its institutes, poles and groups.
HEIG-VD is looking for a
The Information & Communication Technologies Department ( Write an email ) and the Institute of Information and Communication Technologies ( Write an email ) at HEIG-VD are looking for a talented and highly motivated PhD student who will work on an exciting research project at the intersection of machine learning and the management of emergency centers.
OUR RESEARCH
We are looking for a talented and motivated PhD student, ideally from a background in applied mathematics or theoretical physics, to work on the optimization of large language models (LLMs) applied to the detection and management of exceptional health situations (EHS). In the face of health crises - whether epidemic, climatic or unforeseen - it is becoming essential to anticipate and manage healthcare resources effectively. The aim of this research is to develop advanced machine learning algorithms that can identify weak signals heralding crises and optimize the healthcare system's response in real time. This project builds on the expertise acquired under the Interreg SIA-REMU program. In collaboration with the University Hospitals of Geneva (HUG) and the University of Geneva, the thesis will integrate advanced approaches to LLM optimization, real-time medical data processing and crisis management simulation.
By joining this project, you will complete a doctoral thesis at the University of Geneva, enrolled in its doctoral school. Your work will focus on:
- The optimization of language models to detect and interpret weak signals heralding EHS.
- The development of advanced machine learning algorithms to predict and model the impact of health crises.
Optimization of healthcare resources using AI and deep learning approaches.
YOUR PROFIL
- Master's degree (or engineering diploma) in applied mathematics, theoretical physics, statistics, computer science, or equivalent.
- Solid experience in machine learning, data analysis, deep learning (DNNs) and language model optimization.
- Excellent command of Python, PyTorch/TensorFlow and modern AI tools.
- Strong interest in healthcare and crisis management.
- Demonstrated ability to conduct rigorous academic research.
- Autonomy, creativity and analytical skills.
- Basic knowledge in French
- Fluency in English and good writing skills.
Activity rate: 100% or to be discussed
Information: Stephan Robert, Professor, +41 024 557 62 95
Starting date: April 1, 2025 or to be agreed
If you are motivated by this project and would like to contribute to a scientific breakthrough with a strong societal impact, please send your application (CV, covering letter and transcripts).
Please send your complete application, only via jobup, before 14 of march 2025. Total confidentiality is assured.
