Home of Carsten Wiuf

    at the Department of Mathematical Sciences, University of Copenhagen


    "Every day, once a day, give yourself a present"

    XXX

    Contact Details

    (this is an old photo)
    Email:wiuf@math.ku.dk
    Phone:+45 513 19991
    Dept Web: http://www.math.ku.dk/

    Postal Address:Department of Mathematical Sciences
    University of Copenhagen
    Universitetsparken 5
    DK-2100 Copenhagen
    Denmark

    Research Interests

     I'm a professor at University of Copenhagen, Department of Mathematical Sciences. I'm generally interested in the application of mathematics, probability and statistics in the biosciences, and to develop mathematical and statistical theory for biological phenomena. Over the years I have worked on different issues, or themes, and applied modeling and developed theory in many different contexts.

    You can find my research publications on the department page, and on Orcid, ArXiv, BioRxiv and Google Scholar

    Job opening

    Postdoc position in population genetics at the University of Copenhagen.

    A 2 year postdoc position is available jointly at the Dept of Mathematical Science and at the Dept of Biology, commencing according to arrangement. The position is open until filled.

    The project is concerned with development of statistical and computational techniques to understand the genetic exchange across species boundaries which today is recognised as a common phenomenon in evolution. Understanding how different species are connected in evolutionary networks is of fundamental interest in biology, but current available methods to infer evolutionary relationships fall often short.

    The project seeks to develop new statistical and computational methods to disentangle the genetic relationships between species based on data from wild and domestic cattle (the Bos genus), with a special emphasis on detecting selection acting on genes that have crossed species boundaries. The new methods might be based on extending the concept of Admixture Graphs to for example allow for continuous events or movements in space, potentially by applying Deep Learning as well.

    The ideal candidate has a quantitative background within (applied) math, statistics, engineering, computer science or quantitative biology. You need not have experience in population genetics but a keen interest to develop and apply your skills in a real-world context.

    If you're interested, send me (Carsten Wiuf) an email with your CV and publication list, and a short motivation for applying.