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Postdoc position available

We are pleased to announce a postdoc position at Aarhus University, Denmark. The position is financed by the research project "Ambit fields: Probabilistic properties and statistical inference" funded by Villum Fonden.

It is a one year position with an option to extend for another year. Candidates with strong interest in stochastic analysis, limit theorems or statistical inference for stochastic processes should send their applications including CV, track of records and list of publications to professor Mark Podolskij (email: mpodolskij@math.au.dk).

The deadline for applications is October 1, 2017. The expected starting date is January 1, 2018. Please do not hesitate to contact Mark  Podolskij if you have any questions. 

Post-doctoral position in applied statistics

A post-doctoral research position in applied statistics is available at the Department of Mathematics, Aarhus University, Denmark, in the Applied Statistics Laboratory. The position is for one year with the possibility to be extended.

The deadline for applications is October 1st, 2017. To apply please send a motivation letter, CV, track of records and list of publication to Rodrigo Labouriau (rodrigo.labouriau@math.au.dk).

For further information, please contact Rodrigo Labouriau, tel. +45 87155735, email rodrigo.labouriau@math.au.dk.


You will work at the Applied Statistics Laboratory at the Department of Mathematics with:

  • Development and improvement of new statistical methods directed at or inspired by concrete applications in life and environmental sciences
  • Statistical consultation and participation in research projects in several other departments at the Faculty of Science and Technology 
  • Contribution to teaching statistics for non-statisticians
  • Co-supervision of non-statisticians in statistical matters.

The candidate we are seeking at the Applied Statistics Laboratory are expected to provide statistical assistance and participate in a range of research projects, and, in parallel, to work in methodological / theoretical developments in statistical themes that are relevant to these research projects.

The required qualifications are: PhD in statistics or a close related field, strong background in statistics and mathematics (essential), and fluency in spoken and written English.

You should have interest in applied statistics and research in statistical methodological developments inspired by applications in life and environmental sciences.