Connectionists: PhD Position in Machine Learning and Data Science available at ETH Zurich

[Carsten Eickhoff]

The Data Analytics Lab at ETH Zurich is looking for a motivated and
talented PhD student, driven to get involved in cutting edge research in
the areas of machine learning, data science and information retrieval with
strong application in the biomedical sector.

The position is fully funded for four years. The project will be carried
out in collaboration with Brown University in the USA and has access to
considerable amounts of patient data provided by a number of European and
US clinical partners. The PhD candidate will join an excellent and highly
ambitious team at the forefront of research in the area of biomedical data
science with the goal of enhancing clinical research and practice by
large-scale data-driven methods. Starting dates are flexible but we are
looking to hire as soon as possible.

The successful candidate should hold an MSc degree in Computer Science,
Statistics, Applied Mathematics or related disciplines. An
interdisciplinary perspective and experience is valued. Specifically
experience in one or more of the following topics will be helpful: Machine
learning (Deep-learning in particular), Data Science, Information
Retrieval, Natural Language Processing, Biomedical Science. Excellent
programming skills in Python or other high-level languages are expected and
experience with frameworks such as Scikit-learn, Lucene, Tensorflow, Torch
or CUDA are beneficial. Fluent communication skills (written and
presentation) in English are essential. Due to the close collaboration with
Brown University, the successful candidate is expected to visit our
partners in the US for extended periods.

We look forward to receiving your application including a research
statement and cover letter outlining areas of interest, CV, course
transcripts (with grades) and contact details of 2 referees. Please note
that we exclusively accept applications submitted through our online
application portal at (https://apply.refline.ch/845721/5655/pub/1/index.html).
Applications via email or postal services will not be considered. Should
you run into difficulties when submitting your application please send an
email to recruitingsupport at ethz.ch for advice.

For further information about the research group please visit our website
http://da.inf.ethz.ch. Questions regarding the position should be directed
to Carsten Eickhoff by email carsten.eickhoff at inf.ethz.ch (no applications).
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