SVG Image
< Back to news

6 September 2023

PhD Natural Language Processing for Health Data Science at UMC

The UMC is looking for a motivated PhD student in the field of natural language processing with a specific interest in machine learning for health care who will work on the DataTools4Heart project.
Apply here
 
The project
 
The position is embedded in the DataTools4Heart project, “A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy”.
DataTools4Heart is a unique European wide project that aims to create co-create, develop and demonstrate a comprehensive, federated, privacy-preserving cardiology data toolbox including standardized data ingestion and harmonization tools, multilingual natural language processing, federated machine learning and data synthesis methods, as well as virtual assistants to help scientists and clinicians navigate through large-scale multi-source cardiology data, while complying with European regulations and data standards.
 
The proposed toolbox will be demonstrated and optimized based on concrete clinical use cases drawn from real-world practice in the outpatient and emergency cardiology units. EHR data will be collected from cardiology out-patient clinics, in-patient clinics, and emergency wards at up to 8 hospitals across Europe.
Within this project, the focus of the successful applicant will be on the development and application of large language models. 
Question about this vacancy?
Tanja Hart+31621603178 (Recruitment adviseur)

About your role
They are looking for a PhD candidate who is eager to design, implement, and evaluate responsible NLP methods in the context of the DataTools4Heart project.
You will propose state-of-the-art large language models (LLMs) and will develop Dutch and/or multilingual linguistic resources with a strong focus on healthcare applications in the field of cardiology.

You will have the opportunity to apply statistical and machine learning techniques to a range of clinically relevant problems in cardiology, which will be defined and discussed together with medical specialists.

You will provide efficient and scalable implementations of your methods, and will integrate them with popular open-source systems.
The successful candidate will join a cross-disciplinary team consisting of computer scientists, medical professionals, PhD students, and post-doctoral researchers and will also have the opportunity to work together with informaticians and software engineers within the Amsterdam UMC.