Postdoctoral/research position

Naturhistoriska Riksmuseet / Biologjobb / Stockholm
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Description
We are seeking a highly motivated researcher to join the avian DNA research group at the Swedish Museum of Natural History. The objective of our research program is to investigate the evolutionary history of birds using comparative genomics. The principal task for the postdoc/researcher is to lead the analyses of the NGS data. The position is for two years.
We are currently generating and analyzing genome data in several projects. One of these concerns the birds-of-paradise. Besides clarifying their phylogenetic relationships we also want to identify genomic regions of differentiation to explore to what extent these are related to different sexually selected traits in the birds-of-paradise. Another aim is to examine the importance of gene flow in the speciation process, as well as to what extent adaptive introgression has contributed to the evolution of homoplastic phenotypic traits. Our aim is to sequence the genomes of all ca 100 described species and subspecies of birds-of-paradise. So far we have sequenced and assembled five de novo genomes (at 80-100X coverage) and re-sequenced the genomes of the remaining 34 species (at 15-25X coverage)

Environment
The position will be based at the Department of Bioinformatics and Genetics at the Swedish Museum of Natural History (NRM). The museum is located in Stockholm, which by many is regarded as one of the most beautiful capitals in the world and is home to a vibrant scientific community with several leading research institutes, including Stockholm University and the Science for Life Laboratory. The NRM has a strong mission in natural history research, and its research division has more than 170 employees. The Department of Bioinformatics and Genetics hosts three research groups, focused on ancient DNA and population genetics (PI: Dr. Love Dalén), avian systematics and biogeography (PI: Dr. Martin Irestedt), and phylogenomics (PI: Prof. Fredrik Ronquist).

Qualifications
The ideal candidate is a creative and independent researcher, who by the start of the project has obtained a PhD in biology or a related field. A record of scientific achievement in bioinformatics and computational genomics is essential, as is previous experience in handling NGS data using scripts and analysis pipelines. Additional merits include experience in computer programming, phylogenetics, selection scans, as well as proficiency in genome assembly and annotation.

The start date of the position is flexible, but should be no later than July 1, 2016. The position is for two years full-time and the employment will either be as Postdoc or Researcher, depending on whether the applicant was awarded his/her PhD degree less or more than three years before the application deadline.

For further questions regarding the position, please contact Dr. Martin Irestedt ( martin.irestedt@nrm.se ). Union representative is Bodil Kajrup SACO-S. Both can be reached at telephone number +46 8 519 540 00.

How to apply
Applicants should submit a CV including a publication list, and cover letter describing their research interests, qualifications and reasons for applying. The cover letter should also indicate the applicant's ideal starting date and a list of two persons who may provide references. Please submit the application as a single pdf document, marked with dnr 2.3.1-749-2015, to rekrytering@nrm.se or to Swedish Museum of Natural History, P.O. Box 50007, SE-104 05 Stockholm, Sweden, no later than December 18, 2015.

Varaktighet, arbetstid
Visstidsanställning 6 månader eller längre
Heltid

Publiceringsdatum
2015-12-11

Ersättning
Fast månads- vecko- eller timlön

Så ansöker du
Sista dag att ansöka är 2015-12-18
Ange följande referens när du ansöker: 2.3.1-749-2015
Ansökan kan skickas till e-postadress: rekrytering@nrm.se

Företag
NATURHISTORISKA RIKSMUSEET

Adress
NATURHISTORISKA RIKSMUSEET
BOX 50007
10405 STOCKHOLM

Kontorsadress
FRESCATIVÄGEN 40
STOCKHOLM

Övriga kontaktuppgifter
Telefonnummer: 08-51954000

Jobbnummer
2573778

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