A
postdoctoral position is
available
in the lab of Lukas Käll at
Science for Life
Laboratory (SciLifeLab) at the Royal Institute of Technology in
Stockholm, Sweden. Our lab develops machine learning methods and statistical techniques for interpreting high-throughput experiments. We are
looking
for
an
enthusiastic
and
talented postdoctoral
researcher to join our team. The
postdoctoral project may involve machine learning or statistics for the interpretation of shotgun proteomics data and LC-MS experiments. There will
be
good opportunities
to
interact with experimental proteomics labs, such as Mattias Uhlén’s, Janne Lehtiö’s and Roman Zubarev’s lab at SciLifeLab
as well as several external collaborators.
The successful candidate
will have
a
PhD in
statistics,
computer science,
bioinformatics
or
related
field
with
a strong quantitative component. Experience
with machine learning techniques such as Bayesian networks and support vector machines as well as Unix, C++,
scripting
languages (Python, Perl)
and
other programming
languages
is
required. Also, experience with
handling
data from mass spectrometers or other large
data
sets is
desirable.
Salary is available as a one year scholarship
with the
possibility of renewal.
Review
of
applications
will
start
on
1st of February 2013
and
continue until
the
position is filled.
The
starting
date is
negotiable, however,
successful
candidates
will be encouraged
to
start as
soon as
possible.
- a letter
stating
your research experience
and
interests,
- a curriculum vitae
including list
of
publications
, and
- name
and
contact
information
for yourself
and
two
or
three references.
About Science for Life Laboratory
SciLifeLab is a national resource center dedicated to large scale bioscientific research with focus on biomedicine, including genome and proteome profiling, bioimaging and bioinformatics. SciLifeLab Stockholm has been formed jointly by the three Stockholm universities, Royal Institute of Technology (KTH), Karolinska Institutet (KI) and Stockholm University (SU), and thus combines the profiles and strengths of these three institutions. Academic research as well as the Swedish health care system and the Swedish Life Science industry will benefit through active collaboration, access to advanced tools and active programs for knowledge transfer. The goal is to achieve critical mass for large-scale life sciences and translational medicine.
Our vision is to make SciLifeLab into a center for large-scale life sciences with an advanced technological infrastructure. The focus is on performing multidisciplinary research involving high throughput DNA sequencing, analysis of gene expression, protein profiling, cellular profiling, advanced bioinformatics, biostatistics and systems biology. SciLifeLab is aimed at enabling researchers to carry out extensive and comprehensive analysis of genes, transcripts and proteins in humans and relevant microbes, such as viruses and bacteria, and to cast light on the complex interplay between different molecular components in living cells, tissues and organs related to human diseases. |