Veröffentlicht: 29 Mai 2024
Zürich
100%
Festanstellung
ETH Zürich
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Scientific Assistant in Machine Learning for Healthcare
80%, Zurich, fixed-term
The Biomedical Data Science Lab (BMDS), headed by Prof. Catherine Jutzeler, is looking for a highly motivated and skilled Scientific Assistant to join our interdisciplinary team. In this role, you will work closely with the BMDS team of doctoral and postdoctoral researchers to contribute to a new research initiatives in using deep learning models for time series data captured in intensive care unit environments. In this position, you will be advised by Dr. Lakmal Meegahapola. We particularly value, if you are comfortable addressing cutting-edge research questions in machine learning and deep learning, where you must be creative and motivated in searching and reading relevant literature, and developing novel models to tackle complex real-world problems in healthcare.
Project background
Modern intensive care unit (ICU) environments produce real-time data from a plethora of modalities. From the time a patient is admitted to an ICU, real-time physiological time series data about the patient’s vitals (heart rate, blood pressure, temperature, etc.) are captured, supplemented by various lab tests and demographic information. These multimodal data can potentially be used for risk profiling and for detecting and predicting various health outcomes, such as sepsis, mortality, and kidney failure, using machine learning and deep learning models. These models have the potential to help clinicians in decision-making, thereby saving patients' lives.
Job description
You will:
Profile
Qualifications:
Preferred Qualifications:
Workplace
Workplace
We offer
We offer a 1-year contract (80% rate) starting 1st August 2024, at the BMDS lab that includes:
We value diversity
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Dr. Lakmal Meegahapola by email at E-Mail schreiben (no applications).
We evaluate applications on a rolling basis.
For recruitment services the GTC of ETH Zurich apply.
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Dr. Lakmal Meegahapola by email at E-Mail schreiben (no applications).
We evaluate applications on a rolling basis.
For recruitment services the GTC of ETH Zurich apply.