PhD candidate in validation methods for generative AI and Large Language Models in healthcare

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PhD candidate in validation methods for generative AI and Large Language Models in healthcare

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Job description

Offer DescriptionGenerative AI models, such as large language models (LLMs), have advanced remarkably fast and are anticipated to become a transformative force in healthcare. Researchers have identified several promising applications for generative AI in healthcare, such as automatically generating clinical letters and using chatbots to answer patient or citizen health-inquiries. Rigorous validation of these LLMs is crucial to ensure their safe and effective integration into healthcare practice, as incomplete outputs or unchecked hallucinations from LLMs could negatively impact patient and citizen care. Developing reliable evaluation methods to determine when an LLM application meets the necessary quality standards for practical use in the healthcare domain, remains an ongoing challenge. This is due to the generative nature of these models and the wide array of potential new applications.You will be working interdisciplinary between the fields of epidemiology, data science, and AI, including natural language processing. Your focus will be on developing evaluation measures and frameworks for different generative AI/LLM applications in healthcare settings such as hospital care, primary care, and preventive health. You will investigate existing methodologies and develop new ones, considering aspects like transparency, explainability, robustness, and fairness of generative AI/LLMs. Additionally, you will assess the resource efficiency and reliability of the evaluation methods, including both human and automatic evaluations.You will become a member of the enthusiastic and ambitious Epidemiology Methods team at the UMC Utrecht, where you will attend weekly meetings, provide presentations of your research both during these meetings and (international) conferences, and contribute to data science and clinical education.Where to apply WebsiteRequirementsSpecific Requirements

• Applicants for this position should have a relevant MSc, for example, in (clinical) epidemiology, artificial intelligence, natural language processing, biostatistics, (applied) data sciences, or biomedical or health sciences.
• You demonstrate a keen interest in the methodology of medical research, have expertise in working with language modeling techniques (or NLP in general), and have experience with programming (e.g., in Python).
• You thrive by working in a team environment and are excited about communicating your ideas with peers.
• Fluency in written and spoken English is required, and fluency in Dutch is an advantage.

Additional InformationBenefitsThe maximum salary for this position (36 – 36 hours) is € 3.824,00 gross per month based on full-time employment.In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The are in accordance with the Cao University Medical Centers (UMC).Additional commentsContact our colleague:
Tuur Leeuwenberg
06 31 11 85 14
Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute UMC Utrecht Country Netherlands City Utrecht Postal Code 3584CX Street Heidelberglaan 100Contact CityUtrecht WebsiteStreetHeidelberglaan 100 Postal Code3584 CXSTATUS: EXPIREDShare this page

Expected salary

€3824 per month

Location

Utrecht

Job date

Fri, 30 Aug 2024 23:38:21 GMT

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