About IntelliLung
IntelliLung, funded by the EU Horizon program, is an AI-based decision support system designed to optimize lung support for patients in intensive care units requiring mechanical ventilation. This innovative project is a collaboration among medical and technical partners from Germany, Spain, Serbia, Italy, and the USA, led by experts from the Technical University of Dresden.
What You Will Do
Join an international team of AI researchers, data engineers, and clinicians dedicated to developing life-saving algorithms for critical care. Your responsibilities will include:
- Iteratively research, apply, and validate latest machine learning (ML) and reinforcement learning (RL) approaches to guide patient treatment.
- Clean, preprocess, and structure datasets to ensure they are AI-ready for ML/RL applications.
- Contribute through research to topics such as modeling, uncertainty quantification, explainability, and offline policy evaluation, while having the freedom to pursue your own ideas.
Who You Are
- Currently enrolled at a German university and pursuing a master’s degree in Computer Science or a related field.
- Possess a solid understanding of machine learning, with particular experience in reinforcement learning.
- Proficient in Python programming, with hands-on experience using libraries such as pandas, PyTorch, wandb, and matplotlib.
- Business-fluent in English, with excellent communication skills.
- Passionate about conducting research.
Job Details
- Location: Preferably Dresden (remote work possible for candidates residing outside Dresden)
- Workload: 19 hours per week
- Start Date: immediately
How to Apply
Please send your resume, transcript, and optionally a cover letter to showcase your interest and relevant experience. We look forward to learning more about you and how you can contribute to IntelliLung.
Haben Sie Rückfragen? Dann richten Sie diese bitte per E-Mail an hr@infai.org.