Umeå University, Faculty of Science and Technology

Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

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The Department of Mathematics and Mathematical Statistics conducts research in computational mathematics, discrete mathematics, mathematical modelling and analysis, and mathematical statistics. Our teaching is conducted at all levels and includes mathematics, mathematical statistics and computational science. Among our partners are international research groups, academic institutions, public organizations and companies.

The Department of Mathematics and Mathematical Statistics invites applicants for a position as senior research engineer in mathematical statistics. The position is limited to two years and requires a PhD degree in mathematical statistics, statistics, or similar. Last application date is 2020-03-21.

Work description
The candidate will work with development of inferential methods for spatial point processes under restrictions and functional data analysis. It will also imply work with implementation of the developed methods in the software language R. You will work in close collaboration with researchers at the department.

Qualifications
To be eligible for the position you are required to hold a PhD degree in mathematical statistics, statistics or similar. The candidate is expected to have documented experience of:

  • working with spatial point processes and spatial stochastic modelling.
  • working with functional data analysis.
  • the ability to work independently as well as part of a research group.

In addition, excellent programming skills in the software language R and excellent communication skills in written and spoken English are required.

About the position
The position is limited to two years and requires a PhD degree in mathematical statistics, statistics or similar. Starting date according to agreement.

Application
The application should contain:

  • a cover letter of one page describing yourself and your qualifications, that would make you suitable for the position, and why you are interested in this position.
  • a curriculum vitae (CV).
  • authenticated copies of grades and degree certificates.
  • a list of publications.
  • contact information for at least two reference persons, familiar with your qualifications.

Your application is to be submitted through Umeå University’s digital recruitment system. Log in and search via the button at the end of the page 2020-03-21 at the latest.

More information
More about us:
https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/

For more information, please contact Professor Sara Sjöstedt de Luna, +46-(0)70-6069315, sara.sjostedt.de.luna@umu.se, or Head of the Department Åke Brännström, +46-(0)90-786 78 62, ake.brannstrom@umu.se

We look forward to receiving your application!

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-321-20
Contact
  • Sara Sjöstedt De Luna, professor, 090-7865406, sara.sjostedt.de.luna@umu.se
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 28.Feb.2020
Last application date 21.Mar.2020 11:59 PM CET

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