Monday, July 18, 2016

[DMANET] Post-doc Research grant (BI-D) - SOUND project (H2020)

Dear colleague,
Please distribute widely and sorry for crossposting. Thank you.
Best regards,
Susana Vinga


1 Research Grant – Post-doc (BI-D)

We are seeking one postdoc candidate in the context of a Horizon 2020
European Project, SOUND - Statistical multi-Omics UNDerstanding of
Patient Samples, (European Union – No. 633974).

Scientific Area: Machine Learning and Biostatistics

Required education Level and research experience: PhD in one of the
following areas: machine learning, statistics, computational biology
or related, with a taste for inter-disciplinary research, and with
very good interpersonal skills. Ideally, the person will have a long
experience with machine learning and biostatistics applications to
clinical data and be proficient in computer programming (R, Matlab or

Workplan: SOUND is an international research project funded by the
European Commission (EC) within its Horizon 2020 Research and
Innovation programme "Personalizing Health and Care". Its objective is
to create the bioinformatic tools for statistically informed use of
personal genomic and other omics data in medicine, including cancers
and rare metabolic diseases. It comprises partners from top research
institutions including Cambridge, Munich, Zurich, Seattle, Heidelberg
and Lisbon, and will run from September 2015 for 3 years.

IDMEC (Lisbon, Portugal) is looking for a post-doc candidate to work
in the development of statistical and machine learning methods and
their application to clinical data, in particular cross-cutting
methods for oncology and genetics. The position is set at the cutting
edge of scientific research related to mechanisms of disease,
personalized medicine, genome bioinformatics and statistics, and its
clinical translation. The tasks include: 1) survival analysis of
clinical data; 2) development of robust regression and unsupervised
outlier detection methods; 3) integrative modeling of heterogeneous
patient's data; 4) development of statistical and optimization methods
for high-dimensional data.

Workplace and scientific supervision: The candidate will work in the
Center of Intelligent Systems at the IDMEC (Instituto Superior
Técnico, Lisboa, Portugal, under the supervision of Prof. Susana
Vinga, coordinator of the Systems Engineering in the Life Sciences
research line ( and in interaction
with the partners of SOUND, in particular with the Computational
Biology Group and Prof. Niko Beerenwinkel at the ETH Zurich
(, Switzerland. Both teams are
methodological with an expertise in computational and systems biology.

Duration: 12 months, from September 2016, and renewable for up to the
duration of the project.

Application Deadline: 29 August 2016.

Documents to be submitted: Detailed curriculum vitae; motivation
letter; copy of academic study certificates; name of two personal
references. The applications should be submitted via email to

For more details:

Susana Vinga, PhD
Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Tel. (+351) 218 419 504 Fax: (+351) 218 498 097

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