Postdoctoral Position Machine Learning for Medicine

vor 13 Stunden

Bern, Schweiz Universität Bern Vollzeit

The overarching goal of the planned project is to research novel state-of-the-art algorithms in digital medicine using techniques from artificial intelligence and machine learning.

We plan to develop algorithmic solutions and computational frameworks that can help practitioners analyze medical data from multiple sources to identify diseases, decide on the next step of treatment, determine potential problems, and improve the overall efficiency of care. In particular, we plan to explore an integrated algorithmic framework capable of automatically learning possible diagnoses for multiple diseases and co-morbidities at once. Moreover, we aim at building and researching novel frameworks that allow practitioners to interact, challenge, and query the learned models in an adequate manner. The overall goal of this interaction is to cement the trust in the use of machine learning algorithms as well as to improve the precision of the derived diagnoses.

Tasks

The main objective of the present project is to build the basis for the planned principal project and comprises the following three major tasks.
- Implement a structural pilot with well-defined pipelines and procedures to share both data and infrastructure between the University and the University Hospital
- Build the foundation of a general framework for machine learning tools such that they become directly applicable to the respective datasets (and conduct preliminary empirical evaluations).

**Requirements**:
We are looking for a highly motivated expert in the field of machine learning, who has already worked on healthcare data. In particular, we expect a PhD in Computer Science with a solid track record in machine learning and related fields.

We offer
- Concise letter of motivation
- CV (max 2 pages A4)
- Complete list of publications

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