Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position verarbeitest du klinische Datensätze, entwickelst Machine-Learning-Pipelines, evaluierst Modelle und wendest Methoden der Präferenz- und Überlebensanalyse auf reale klinische Daten an.
Job Technologien
Deine Rolle im Team
- Processing, harmonization, and analysis of heterogeneous clinical and longitudinal datasets.
- Development of reproducible data processing and machine learning pipelines.
- Development and evaluation of machine learning, transformer, and LLM-based methods.
- Application of survival and predictive modeling to clinical outcomes.
- Evaluation of model performance, interpretability, and generalizability across datasets.
- Collaboration with clinical and methodological experts.
- Dissemination of results through scientific publications and presentations.
Unsere Erwartungen an dich
Ausbildung
- Master's degree or equivalent in Data Science, Computer Science, Medical Informatics, Bioinformatics, Statistics, Artificial Intelligence, or a related field.
Qualifikationen
- Strong programming skills in Python and PyTorch.
- Machine learning and deep learning.
- Longitudinal or time-series data.
- Large language models or natural language processing.
- Transformer architectures and representation learning.
- Clinical or biomedical data analysis.
- Survival analysis and statistical modeling.
- Strong analytical and problem-solving skills.
- Ability to work independently and in an interdisciplinary team.
- Excellent written and spoken English.
- Strong motivation, scientific curiosity, and persistence, with the ability to independently tackle complex and challenging problems.
Erfahrung
- Experience in several of the following areas:
Unser Angebot
- A PhD project at the leading edge of clinical AI and personalized oncology, working on emerging AI methods and their application to large-scale real-world clinical data.
- Access to large-scale clinical datasets and modern computational infrastructure.
- Close collaboration with AI researchers, clinicians, and methodological experts from different disciplines.
- A broad interdisciplinary environment in which you can develop expertise across the full clinical AI spectrum from data engineering and representation learning to LLMs, transformer models, and survival analysis.
- Opportunities to publish in leading scientific venues, present at international conferences, and pursue professional development that supports you in becoming a well-rounded expert in clinical AI and medical data science.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Ludwig-Maximilians-Universität München
Die Ludwig-Maximilians-Universität München ist eine der angesehensten Universitäten in Deutschland. Durch ihre hervorragenden Forschungseinrichtungen und das breite Studienangebot zählt sie zu den größten Universitäten des Landes.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bildungswesen
PhD Candidate - Clinical AI and Medical Data Science
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
