Postdoctoral Research Position: Language Models for Pediatric Data Analysis 100%, Basel, fixed-term We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and clinical data usability. This position is embedded in a close collaboration between ETH Zurich’s Medical AI Lab and the University Children’s Hospital Basel (UKBB), enabling direct interaction with clinicians, clinical coders, and hospital IT infrastructure. Job description The successful candidate will be responsible for adapting and developing locally hosted language models for diagnostic coding tasks. This will involve Model development Rigorous model validation on newly created benchmarks, and Safe deployment Further activities and duties include: Publish research results in top-tier venues (e.g. leading biomedical journals or ML conferences). Profile PhD in a relevant field (e.g., Computer Science, Medical AI, Medical informatics) or a closely related field Strong programming skills in Python and experience with modern ML/AI/LLM stacks (PyTorch, HuggingFace, Ollama, vllm, distributed training, verl, etc.) German proficiency and fluency at C1 level or higher, required for analyzing local patient records Prior experience with LLMs, clinical NLP, RAG, vector DBs is highly welcome Good computational engineering practices: version control, reproducible pipelines, batch job management, etc. Familiarity with Docker, local server environments, and GPU-based infrastructure Experience with medical data coding (ICD-10) and healthcare settings is a plus Ability to work independently, contribute to team efforts, and communicate effectively in English and German Workplace We offer A full-time postdoctoral position at ETH Zurich, one of the world’s leading research universities This project is a collaboration between our lab at ETH Zurich (D-BSSE located in Basel) and the University Children's Hospital Basel Our group is engaged with the ETH AI Center and SwissAI initiative, giving our group members access to this vibrant and world-class AI community Access to cutting-edge computational resources, including large GPU clusters, as well as clinical collaborations Employment in a highly interdisciplinary environment at Department of Biosystems Science and Engineering (D-BSSE) located in Basel, embedded in a major hub for medical and life science and biotech research chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future. Curious? So are we. We look forward to receiving your online application including the following documents (concatenated into one PDF): CV Bachelor and Master transcripts Motivation letter (motivation & fit to the project and the host lab) Letters of recommendation (if available, also just a list of names that can be queried for letters of recommendation would suffice) Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about our research group can be found on this website. Questions regarding the position should be directed to Prof. Michael Moor's lab email: michael.moor@bsse.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

Postdoctoral Research Position: Language Models for Pediatric Data Analysis

100%, Basel, fixed-term

We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and clinical data usability.

This position is embedded in a close collaboration between ETH Zurich’s Medical AI Lab and the University Children’s Hospital Basel (UKBB), enabling direct interaction with clinicians, clinical coders, and hospital IT infrastructure.

Job description

The successful candidate will be responsible for adapting and developing locally hosted language models for diagnostic coding tasks. This will involve

Model development
Rigorous model validation on newly created benchmarks, and
Safe deployment

Further activities and duties include:

Publish research results in top-tier venues (e.g. leading biomedical journals or ML conferences).

Profile

PhD in a relevant field (e.g., Computer Science, Medical AI, Medical informatics) or a closely related field
Strong programming skills in Python and experience with modern ML/AI/LLM stacks (PyTorch, HuggingFace, Ollama, vllm, distributed training, verl, etc.)
German proficiency and fluency at C1 level or higher, required for analyzing local patient records
Prior experience with LLMs, clinical NLP, RAG, vector DBs is highly welcome
Good computational engineering practices: version control, reproducible pipelines, batch job management, etc.
Familiarity with Docker, local server environments, and GPU-based infrastructure
Experience with medical data coding (ICD-10) and healthcare settings is a plus
Ability to work independently, contribute to team efforts, and communicate effectively in English and German

Workplace

We offer

A full-time postdoctoral position at ETH Zurich, one of the world’s leading research universities
This project is a collaboration between our lab at ETH Zurich (D-BSSE located in Basel) and the University Children's Hospital Basel
Our group is engaged with the ETH AI Center and SwissAI initiative, giving our group members access to this vibrant and world-class AI community
Access to cutting-edge computational resources, including large GPU clusters, as well as clinical collaborations
Employment in a highly interdisciplinary environment at Department of Biosystems Science and Engineering (D-BSSE) located in Basel, embedded in a major hub for medical and life science and biotech research

chevron_right Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application including the following documents (concatenated into one PDF):

CV
Bachelor and Master transcripts
Motivation letter (motivation & fit to the project and the host lab)
Letters of recommendation (if available, also just a list of names that can be queried for letters of recommendation would suffice)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about our research group can be found on this website. Questions regarding the position should be directed to Prof. Michael Moor's lab email: michael.moor@bsse.ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

Bewerbung

Mehr