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 related).
*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 'omic 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 (
http://sels.tecnico.ulisboa.pt/) and in interaction with the partners of
SOUND, in particular with the Computational Biology Group and Prof. Niko
Beerenwinkel at the ETH Zurich (https://www1.ethz.ch/bsse/cbg/people),
Switzerland. Both teams are methodological with an expertise in
computational and systems biology.
*Duration:* 12 months, from September 2015, and renewable for up to the
duration of the project.
*Application Dates*: From 8th June to 27th July 2015.
*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 sound.lisbon@gmail.com
*For more details*: http://sels.tecnico.ulisboa.pt/
--
_________________________
Susana Vinga, PhD
IDMEC/IST-UL
Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Tel. (+351) 218 419 504 Fax: (+351) 218 498 097
Email: susanavinga@tecnico.ulisboa.pt
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