Postdoctoral positions

Postdoctoral Position Machine Learning for Medicine

(80-100%, 12 months)

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).
  • Help preparing a principal application (e.g. for the Sinergia funding scheme of the SNSF)

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

We offer to work on an exciting interdisciplinary project that is at the intersection of computer science and medicine within excellent infrastructure. As future collaborator you will be part of a small and highly motivated research team at the Institute of Computer Science at the University of Bern (https://prg.inf.unibe.ch).

Your application consists of a single .pdf document and includes:

  • Concise letter of motivation
  • CV (max 2 pages A4)
  • Complete list of publications

Please send your application via eMail to kaspar.riesen@unibe.ch

PhD positions

Currently no open positions.