Graduate position:

From the Evolution Directory (EvolDir) via Twitter.




PhD-student position in Molecular Evolution
with specialization in metagenomics:
http://www.uu.se/jobb/phd-students/annonsvisning?tarContentId=3D190218&languageId=1

PhD-student position in Molecular Evolution with
specialization in genomics and bioinformatics:
http://www.uu.se/jobb/phd-students/annonsvisning?tarContentId=3D190194&languageId=1

Text of the ads pasted below:

PhD-student position in Molecular Evolution with specialization in
metagenomics

at the Department of Cell and Molecular Biology
Apply no later than 2012-06-29

Starting date: September 1, 2012.

We study the molecular evolution of genomes from infectious disease
causing bacteria as well as symbiotic and free-living bacteria using
bioinformatic analyses of next-generation sequencing data (NGS). The
knowledge is important to understand the early evolution of life as
well as the mechanisms and selective forces that drive adaptations
to different environments. Metagenomics is a new area of research in
which all DNA present in a particular environment is sequenced and
analyzed. With the aid of metagenomics it is possible to identify and
study previously unknown microorganisms that have not been cultivated in
the laboratory. Another new exciting technology is single cell genomics,
which enables the genomes of single cells to be sequenced. By combining
metagenomics and single cell genomics, it is possible to perform an
in-depth investigation of the microflora, in a way that was not possible
with conventional technologies.

The overall aim of this project is to study how bacterial populations
evolve using metagenomics and single cell genomics. Samples will be
taken from many different environments, such as lakes, fossils, earth,
humans and insets. The work will be conducted in silico and consists
of bioinformatics, comparative genomics and phylogeneticts. Using
single cell genomics, the PhD student will reconstruct the genome
from individual cells in the environment. Metagenomic reads will be
recruited to the reconstructed genomes, with the aim of inferring the
natural sequence variation, and more specifically to compare mutation
versus recombination frequencies for different species and environments
to better understand the evolutionary forces that drive changes and
adaptive processes in nature.

The candidate should have a Master of Science degree in Biology or
similar qualifications with specialization in bioinformatics, molecular
sequence analysis, microbiology or comparative genomics. Knowledge
in bioinformatics analyses of sequence data is desirable, as is prior
research experience and high grades. The candidate should be able to work
well as part of a team but also independently, and be proficient in both
written and spoken English. In filling this position the university
aims to recruit persons who, in the combined evaluation of competence,
skills and documented qualifications, are judged most suitable to carry
out and develop the work-in-hand and to contribute to the positive
development of the department. Departmental work, mostly teaching,
will constitute at most 20% of the position. Information about research
education can be found at the web site of the Faculty of Science and
Technology, http://www.teknat.uu.se/cms/. Applicants must be eligible
for PhD studies at Uppsala University.

The application should include a letter describing research interests
and relevant experiences (maximum one page), CV, copies of grades, exams,
master project thesis (or parts thereof) and additional documents. Please
provide contact information reference persons and recommendation letters
from prior research supervisors.

More information about the position can be obtained from professor
Siv Andersson, e-mail: siv.andersson@ebc.uu.se, Phone, +4618-471 64
52 and +4618-471 43 79. Union representatives are Anders Grundström,
Saco-rådet, Phone, +4618-471 53 80 och Carin Söderhäll, TCO/ST, Phone,
+4618-471 19 96, Stefan Djurström, Seko, Phone, +4618-471 33 15.

You are welcome to submit your application no later than June 29, 2012,
UFV-PA 2012/1386. Use the link below to access the application form.




PhD-student position in Molecular Evolution with specialization in
genomics and bioinformatics

at the Department of Cell and Molecular Biology.
Apply no later than 2012-06-29, UFV-PA 2012/1384

Starting date: September 1, 2012.

We study the molecular evolution of bacterial genomes using bioinformatic
analyses of next-generation sequencing data (NGS). The knowledge is
important to understand the early evolution of life as well as the
mechanisms and selective forces that drive adaptations to different
environments. All living organisms have traditionally been divided into
two main groups based on their phenotypic characteristics: the prokaryotes
(without nucleus) and the eukaryotes (with nucleus). A recently discovered
group of organisms, called the Planctomycetes, have membrane structures
that resemble those of eukaryotes, despite being prokaryotes as defined
genetically. The overall aim of this PhD-student project is to examine
how and why these cellular structures have evolved. To tackle these
questions the PhD student will analyze NGS-data from closely related
species with different types of nuclear-like membrane structures. The
work will be conducted in silico, and will consist of bioinformatics,
comparative genomics and phylogenetic analyses. At a later stage,
the project may incorporate attempts to design and construct membrane
structures in bacterial cells with the aid of cell fusions and/or
synthetic biology. The project is part of a collaborative project between
research groups headed by Siv Andersson (molecular evolution) and Sandra
Baldauf (systematic biology) of the Uppsala Center for Comparative
Genomics www.uceg.uu.se, and is supported by a grant from the Swedish
Research Council to strong research environments.

The candidate should have a Master of Science degree in Biology or
similar qualifications with specialization in bioinformatics, molecular
sequence analysis, microbiology or comparative genomics. Knowledge
in bioinformatics analyses of sequence data is desirable, as is prior
research experience and high grades. The candidate should be able to work
well as part of a team but also independently, and be proficient in both
written and spoken English. In filling this position the university
aims to recruit persons who, in the combined evaluation of competence,
skills and documented qualifications, are judged most suitable to carry
out and develop the work-in-hand and to contribute to the positive
development of the department. Departmental work, mostly teaching,
will constitute at most 20% of the position. Information about research
education can be found at the web site of the Faculty of Science and
Technology, http://www.teknat.uu.se/cms/. Applicants must be eligible
for PhD studies at Uppsala University.

The application should include a letter describing research interests
and relevant experiences (maximum one page), CV, copies of grades, exams,
master project thesis (or parts thereof) and additional documents. Please
provide contact information reference persons and recommendation letters
from prior research supervisors.

More information about the position can be obtained from professor
Siv Andersson, e-mail: siv.andersson@ebc.uu.se, Phone, +4618-471 64
52 and +4618-471 43 79. Union representatives are Anders Grundström,
Saco-rådet, Phone, +4618-471 53 80 och Carin Söderhäll, TCO/ST, Phone,
+4618-471 19 96, Stefan Djurström, Seko, Phone, +4618-471 33 15.

You are welcome to submit your application no later than June 29, 2012,
UFV-PA 2012/1384. Use the link below to access the application form.



Lionel Guy
Molecular Evolution, Uppsala University, Uppsala, Sweden
postal address: Box 596, SE-751 24 Uppsala;
visiting address: BMC C6:305d, Husargatan 3, SE-752 37 Uppsala
phone: +46 18 471 6129, mobile +46 73 976 0618
lionel.guy@icm.uu.se

Lionel Guy
Petterslundsgatan 24B, SE-75328 Uppsala
email: guy.lionel@gmail.com,
mobile: +46 (0)73 9760618, phone: +46 (0)18 410 7398

guy.lionel@gmail.com


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