ORGANISATION/COMPANYMax Planck Institute for Evolutionary Anthropology (MPI-EVA)
RESEARCH FIELDAnthropologyComputer scienceMathematics
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)Established Researcher (R3)Leading Researcher (R4)
APPLICATION DEADLINE31/07/2020 23:59 - Europe/Brussels
LOCATIONGermany › Leipzig
TYPE OF CONTRACTOther
The “newly established” Department of Archaeogenetics at the Max Planck Institute for Evolutionary Anthropology in Leipzig (Germany) utilizes recent advances in molecular approaches on biomolecules, such as genome wide DNA sequencing, to uncover an entirely new spectrum of information that can be retrieved from sample repositories such as anthropological and archaeological collections.
In the context of the ERC Synergy Grant <em>HistoGenes</em> the department is seeking to fill the position of a
h3. *Research Group Leader in Population Genetics*
*(E15 100 %)*
with a start date as soon as possible.
We seek to fill a position at the level of a research group leader with a focus on large-scale human population genetics integrating comprehensive data sets from ancient human remains with modern reference data in an archaeological and historical context.
The research group will reside within the ERC Synergy Grant <em>HistoGenes</em>. This project aims to study the population shifts related to cultures such as Pannonians, Romans, Goths, Huns, Longobards, Gepids, Avars, Bulgars, Slavs and Franks in the Carpathian Basin in 400-900 CE. <em>HistoGenes</em> will analyse ~6,000 ancient human samples from this region with cutting edge scientific methods and contextualize the interpretation of these data in their archaeological and historical setting. This will, for the first time, unite historians, archaeologists, geneticist, anthropologists, and specialists in bioinformatics, isotopic analyses and other scientific methods not only to advance our knowledge about this key period in European history, but also establish new standards for the historical interpretation of genetic data. The established group will operate in a close multidisciplinary network with non-geneticists, and communication within such a team is an important part of the project in order to fully contextualize and interpret the genetic data.
For the advertised position strong bioinformatics skills and literacy in related statistical methods are a requirement, in particular rare variant analysis, haplotype-based methods and SNP based approaches are wanted. The ideal candidate will have a PhD in a relevant discipline (bioinformatics, computer science, mathematics, population genetics, etc.) as well as extensive post-doctoral experience in those fields. The candidate has ideally worked in the field of ancient DNA before. Furthermore, strong competency in supervising and mentoring students is desirable.
This is a full-time three-year contract position at a pay scale of TVöD E15, in accordance with the German pay grade system for public employees. The position can be extended to six years in total.
The Max Planck Society is committed to employing individuals with disabilities and relevant candidates are encouraged to apply. The Max Planck Society also seeks to increase the number of women in areas where they are under-represented and therefore explicitly encourages women to apply.
Your application should include a curriculum vitae (stating previous academic performance indicators, publication history, and prior research and supervision experience) and a cover letter outlining in detail your qualifications, suitability for the position, and interest in working with our team.
Please submit your application in English via our online application platform (https://www.eva.mpg.de/career/positions-available.html) and add three references (letter of recommendation). The deadline for submission of these letters is the same as the one for the applications.
Applications will be accepted until *July 31.2020*, but the position could be filled before.
(For more details on the application process please contact:
Stefanie Schmischke, E-mail: email@example.com)
EURAXESS offer ID: 534171
Posting organisation offer ID: 727186
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