Umeå universitet, Teknisk-naturvetenskaplig fakultet

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 is now appointing a senior research engineer in mathematical statistics with focus on stochastic modelling and statistical analysis of spatiotemporal data and statistical learning with sparsity. The employment is limited (19 months). Apply latest November 11 2018.

The candidate will work in a multi-disciplinary externally financed project with statistical applications in climate research, where the main purpose is to create a long lasting, well-functioning, competence centre focused on minimizing industrial icing problems in the Botnia-Atlantica region. The appointed candidate is expected to work on site at the department and to participate in the daily activities of the research environments.

Qualifications

The applicant must have a PhD degree in mathematical statistics or equivalent. Documented knowledge and proven experience in spatiotemporal data analysis using statistical methods is required. In particular, documented knowledge and proven experience of statistical learning with sparsity and intelligent data sampling based on compressive sensing are strong merits. In addition, excellent programming skills and excellent communication skills in written and spoken English are required.

You are expected to take an active role in this interdisciplinary cooperation and to have a scientific and result-oriented approach to your work. You must therefore have good interpersonal skills and be able to work in a focused, flexible and proactive manner. Experience of interdisciplinary research projects and cross-disciplinary collaboration, in particular within the specific application area, is qualifying.

The research tasks require great independence, accuracy and dedication. Documented scientific momentum and the ability to work independently as well as part of a research group are merits.

Special attention will be given to scientific skills and quality of the scientific production with a focus that correspond to the research project.

The position is full-time for 19 months at the Department of Mathematics and Mathematical Statistics, during the period 2019-01-01 to 2020-08-15.

Application
The application is made through our electronic recruitment system. Log in and apply latest November 11 via the button at the end of this page. The application should include:

  • A cover letter of one page describing yourself, your previous research achievements, your preferred area of scientific application, and reasons for applying to this position.
  • A Curriculum Vitae.
  • A list of publications.
  • Certified copies of relevant degree certificates.
  • Copies of (maximum of five) relevant publications including your dissertation.
  • A research plan, 3-4 pages in length, which describes the research and issues you wish to investigate and how you could contribute to the corresponding research project.
  • Two references, including contact details.

Information
Research at the Department of Mathematics and Mathematical Statistics is conducted within mathematics, mathematical statistics, mathematics education and computational science. Important cooperation partners include the Umeå Institute of Technology, the biological, forestry and medical departments, Umeå School of Business and Economics, the University Hospital, and industry. We provide education at all levels with a particular focus on engineering and civic engineering programs.

For more information, see http://www.math.umu.se/english

Contact persons:
Professor Jun Yu, +46-(0)90-786 51 27, jun.yu@umu.se
Head of 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
First day of employment 2019-01-01
Salary Månadslön
Number of positions 1
Full-time equivalent 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-1652-18
Contact
  • Jun Yu, professor, 090-7865127, jun.yu@umu.se
  • Åke Brännström, prefekt, 090-7867862, ake.brannstrom@umu.se
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 17.Oct.2018
Last application date 11.Nov.2018 11:59 PM CET

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