Postdoctoral Fellow in Sepsis Research - Machine Learning for Healthcare 100%, Zurich, fixed-term
ETH Zürich
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Postdoctoral Fellow in Sepsis Research – Machine Learning for Healthcare
100%, Zurich, fixed-term
print Drucken
The Biomedical Data Science Lab investigates data-driven solutions for healthcare applications with a focus on
neurological conditions such as spinal cord injury, lower back pain, neuro-degenerative disorders and neurological
tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology,
computer and data science. We are seeking a motivated postdoc to join this growing team and contribute to
interdisciplinary research partnerships.
Project background
We are seeking a highly motivated and talented Postdoctoral Fellow to join our dynamic research team focused on
advancing the understanding and treatment of sepsis, a critical condition developed by patients in intensive care
units, through cutting-edge machine learning and deep learning approaches. This position offers an exceptional
opportunity to work with high-dimensional and multimodal datasets collected from adult and pediatric sepsis patients to
develop predictive models and novel analytical tools.
Job description
Key Responsibilities:
- Design, develop, and implement machine learning and deep learning algorithms to analyze large-scale clinical and
biological datasets.
- Collaborate with clinicians, data scientists, and researchers to derive meaningful insights from complex data.
- Publish findings in high-impact journals and present at national and international conferences.
- Contribute to grant writing and proposals to secure additional funding.
- Mentor graduate and undergraduate students, as appropriate.
Profile
- PhD in Computer Science, Data Science, Machine Learning, Engineering, Biomedical Informatics, Bioengineering, or a
related field
- Strong expertise in machine learning and deep learning frameworks (e.g., Keras, TensorFlow, PyTorch) and statistical
modeling
- Proficient in working with foundation models and large language models (LLMs)
- Experience working with clinical datasets, including electronic health records (EHR), time series, or omics data, is
highly desirable
- Proficiency in python programming
- Demonstrated ability to work independently and as part of a multidisciplinary team
- Excellent written and verbal communication skills (Proficient in English)
Preferred Qualifications:
- Prior experience in sepsis research or critical care data analysis
- Knowledge of data preprocessing techniques for clinical data integration and harmonization
- Experience with cloud computing platforms and distributed computing tools
- Experience with developing deep learning models for time series/multimodal data
- Experience with deep learning architectures such as CNNs, LSTMs, and transformers
- A strong publication record in leading health/computer science journals or ML oriented conferences (NeurIPS, ICML,
ICLR, ML4H, AAAI, CVPR, ICCV, EMNLP, ACL, etc.).
Workplace
Workplace
We offer
We offer a 2-year project-based contract at the BMDS lab working in the sepsis team that includes:
- Opportunities to engage with different communities bridging data science and sepsis research leading to high impact
publications.
- You will be part of a highly motivated, multidisciplinary and collaborative team.
- We will support your scientific career and application for postdoctoral fellowships on your path towards scientific
leadership.
- You will have flexibility to develop your own line of research within the framework of this project.
- We encourage the attendance of relevant (inter-) national conferences to increase your visibility and present the
project outcomes.
- You will be involved in the supervision of junior researchers and teaching in the lab.
- Access to state-of-the-art computational resources and collaborative research networks.
- Opportunities for professional development and career advancement.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
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.
Curious? So are we.
We look forward to receiving your online application with the following documents:
- a letter of motivation (1-page max)
- CV
- PhD diploma or equivalent
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 Prof. Catherine Jutzeler, by email at
catherine.jutzeler@hest.ethz.ch (no applications).
We evaluate applications on a rolling basis.
Starting date: As soon as possible.
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.
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.
100%, Zurich, fixed-term
print Drucken
The Biomedical Data Science Lab investigates data-driven solutions for healthcare applications with a focus on
neurological conditions such as spinal cord injury, lower back pain, neuro-degenerative disorders and neurological
tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology,
computer and data science. We are seeking a motivated postdoc to join this growing team and contribute to
interdisciplinary research partnerships.
Project background
We are seeking a highly motivated and talented Postdoctoral Fellow to join our dynamic research team focused on
advancing the understanding and treatment of sepsis, a critical condition developed by patients in intensive care
units, through cutting-edge machine learning and deep learning approaches. This position offers an exceptional
opportunity to work with high-dimensional and multimodal datasets collected from adult and pediatric sepsis patients to
develop predictive models and novel analytical tools.
Job description
Key Responsibilities:
- Design, develop, and implement machine learning and deep learning algorithms to analyze large-scale clinical and
biological datasets.
- Collaborate with clinicians, data scientists, and researchers to derive meaningful insights from complex data.
- Publish findings in high-impact journals and present at national and international conferences.
- Contribute to grant writing and proposals to secure additional funding.
- Mentor graduate and undergraduate students, as appropriate.
Profile
- PhD in Computer Science, Data Science, Machine Learning, Engineering, Biomedical Informatics, Bioengineering, or a
related field
- Strong expertise in machine learning and deep learning frameworks (e.g., Keras, TensorFlow, PyTorch) and statistical
modeling
- Proficient in working with foundation models and large language models (LLMs)
- Experience working with clinical datasets, including electronic health records (EHR), time series, or omics data, is
highly desirable
- Proficiency in python programming
- Demonstrated ability to work independently and as part of a multidisciplinary team
- Excellent written and verbal communication skills (Proficient in English)
Preferred Qualifications:
- Prior experience in sepsis research or critical care data analysis
- Knowledge of data preprocessing techniques for clinical data integration and harmonization
- Experience with cloud computing platforms and distributed computing tools
- Experience with developing deep learning models for time series/multimodal data
- Experience with deep learning architectures such as CNNs, LSTMs, and transformers
- A strong publication record in leading health/computer science journals or ML oriented conferences (NeurIPS, ICML,
ICLR, ML4H, AAAI, CVPR, ICCV, EMNLP, ACL, etc.).
Workplace
Workplace
We offer
We offer a 2-year project-based contract at the BMDS lab working in the sepsis team that includes:
- Opportunities to engage with different communities bridging data science and sepsis research leading to high impact
publications.
- You will be part of a highly motivated, multidisciplinary and collaborative team.
- We will support your scientific career and application for postdoctoral fellowships on your path towards scientific
leadership.
- You will have flexibility to develop your own line of research within the framework of this project.
- We encourage the attendance of relevant (inter-) national conferences to increase your visibility and present the
project outcomes.
- You will be involved in the supervision of junior researchers and teaching in the lab.
- Access to state-of-the-art computational resources and collaborative research networks.
- Opportunities for professional development and career advancement.
chevron_right Working, teaching and research at ETH Zurich
We value diversity
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.
Curious? So are we.
We look forward to receiving your online application with the following documents:
- a letter of motivation (1-page max)
- CV
- PhD diploma or equivalent
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 Prof. Catherine Jutzeler, by email at
catherine.jutzeler@hest.ethz.ch (no applications).
We evaluate applications on a rolling basis.
Starting date: As soon as possible.
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.
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.