Senior Research Engineer, Mathematical Statistics, 17 months - Befattningen är under tillsättning eller redan tillsatt, och det är inte längre möjligt att lämna in en ansökan
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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.
Are you interested in learning more? Read about Umeå university as a workplace
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 to a position as senior research engineer in mathematical statistics with focus on stochastic modelling and statistical analysis of spatiotemporal data and statistical learning with sparsity. Last day to apply is 2020-03-20.
Project description and work tasks
The candidate will work in a multi-disciplinary 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. One of the current case studies is to investigate and quantify how winter climate and atmospheric icing affect the train transportation in the Botnia-Atlantica region, by using train transportation data and weather data from both observations at weather stations and simulations of WRF models.
Qualifications
The applicant must have a PhD degree or a foreign degree that is deemed equivalent to a PhD in mathematical statistics or equivalent subject field.
Documented knowledge and proven experience in stochastic modelling and statistical analysis within the fields that are relevant to the research project is required. In particular, documented knowledge and proven experience of spatiotemporal data analysis based on Bayesian hierarchical models 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.
The research activities are interdisciplinary and build on a cooperation with empirical researchers in atmospheric science, geophysics, computing science, and mathematical statistics. 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.
About the position
The position is full-time for 17 months at the Department of Mathematics and Mathematical Statistics. The appointed candidate is expected to work on site at the department and to participate in the daily activities of the research environments. The position will start during spring 2020 or as agreed with the candidate.
Application
The application is to be submitted through Umeå University’s digital recruitment system. Log in and apply via the button at the end of the page, by 2020-03-20 at the latest. 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
More about us:
https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/
For further information please contact Professor Jun Yu, +46-(0)90-786 51 27, jun.yu@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 2.2.1-327-20 |
| Contact |
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| Union representative |
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| Published | 28.Feb.2020 |
| Last application date | 20.Mar.2020 11:59 PM CET |