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Data Science Specialist for Health Situations

vor 1 Woche

YverdonlesBains, Waadt, Schweiz Haute Ecole d'Ingénierie et de Gestion de Vaud Vollzeit

A PhD student position is available at the Institute of Information and Communication Technologies (iict.heig-vd.ch) to work on a research project at the intersection of machine learning and healthcare.

We are seeking a talented researcher to work on the optimization of large language models applied to the detection and management of exceptional health situations. This project aims to develop advanced algorithms that can identify weak signals heralding crises and optimize the healthcare system's response in real-time.

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:

  1. The optimization of language models to detect and interpret weak signals heralding EHS.
  2. The development of advanced machine learning algorithms to predict and model the impact of health crises.
  3. Optimization of healthcare resources using AI and deep learning approaches.

Project Details

  • This project is funded by the Haute Ecole d'Ingénierie et de Gestion de Vaud.
  • Collaboration with the University Hospitals of Geneva and the University of Geneva.
  • Integration of advanced approaches to LLM optimization, real-time medical data processing, and crisis management simulation.

Your Profile

  1. Master's degree (or engineering diploma) in applied mathematics, theoretical physics, statistics, computer science, or equivalent.
  2. Solid experience in machine learning, data analysis, deep learning (DNNs), and language model optimization.
  3. Excellent command of Python, PyTorch / TensorFlow, and modern AI tools.
  4. Strong interest in healthcare and crisis management.
  5. Demonstrated ability to conduct rigorous academic research.
  6. Autonomy, creativity, and analytical skills.
  7. Basic knowledge in French.
  8. Fluency in English and good writing skills.