The laboratory of Computational Metagenomics (http://segatalab.cibio.unitn.it/) at the Centre
for Integrative Biology at University of Trento is seeking enthusiastic computational biologists
to join the group on a recently funded ERC Starting grant and other already funded ongoing
projects.
The laboratory employs experimental meta'omic tools and novel computational approaches to
study the diversity of the microbiome and its role in human dysbiosis and infections.
Current projects bring together computer scientists, microbiologists, statisticians, and
clinicians.
We have immediate openings for postdocs, PhD students, and scientific programmers / data
analysts with one or more of the following qualifications:
 strong background in scientific programming (incl. python or R) and the Unix environment
 strong experience in metagenomics and microbiome data analysis
 solid statistics/biostatistics/machine learning background
 familiarity with DNA extraction and sequencing library preparation
 experience in microbial genomics
In exceptional cases, we will consider applications of computer scientists without experience
in bioinformatics and metagenomics.
The successful candidates will have to deal with in-house shotgun metagenomic data as well
as large metagenomic datasets from international research consortia and will develop new
computational tools to analyze microbiome integrating metagenomics, metatranscriptomics,
metabolomic, and metaproteomic datasets. Large-scale comparative genomic analysis will
also be performed exploiting the richness of metagenomic data analyzed with strain-level
resolution. The successful candidate will take advantage from our international network of
collaborations and can also spend some time in our wet lab for targeted validation experiments
and, if interested, can have teaching responsibility.
If you are enthusiastic about computational biology and metagenomics and you are a talented
quantitative researcher our laboratory can provide the ideal setting to perform cutting-edge
research and to boost your career.
Interested candidates should send a CV, cover letter, and the contact information of at least
one professional referee to nicola.segata@unitn.it