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Permanent research position in oceanography with focus on climate change at SMHI, Norrköping, Schweden, Closing date: 1 September 2019
Would you like to participate in increasing the knowledge about the influence of climate change on the marine environment? The oceanographic unit at the Swedish Meteorological and Hydrological Institute (SMHIs) research department is now strengthening the group working on ocean and climate related questions in order to meet the society’s need of knowledge. We offer a stimulating working environment with ample internal and external interactions and flexible working conditions.
The oceanographic unit at SMHIs research department conducts research and development on the marine environment, marine climate, and operational oceanography. We work with analyses and development of models and observations in the open sea and the coastal zone with main focus on the Baltic Sea, the North Sea and the Arctic. Today 16 researchers are employed at the unit which is a part of the research department (about 100 employees). The research is mainly based on external funding, and the oceanography unit has succeeded in attracting funding at national and European levels.
You will work with research on the effects of climate change on the ocean and the marine ecosystems, with main focus on the Baltic Sea, the North Sea, and the Arctic. Depending on the applicants, we see different position possibilities. Either a younger researcher with specialization within oceanography and marine climate research, or an established researcher that can help to lead our group and research forward within this area.
The research and development work will include modeling and qualified analyses of climate projections from coupled physical-biogeochemical ocean models and coupled atmosphere-ocean models. This means that the work comprises tasks such as model development, model validation, process and climate effect studies, and analyses of model output and observation data. A more qualified applicant will also contribute to the strategic development of the unit, supervise younger researchers, apply for funding, and maintain and develop the collaboration networks inside and outside SMHI.
The work will mainly be performed within various national and international research projects, which means participation in all project phases from proposal to reporting.
We offer you a permanent position with placement in Norrköping or Gothenburg.
You have a PhD in oceanography or a related discipline and good theoretical knowledge about ocean physics, and preferably also about ocean climate and ocean biogeochemistry. You have documented experience on:
- research within the areas of expertise of the oceanographic unit,
- scientific publications and oral presentations at international conferences,
- programming (Fortran is preferred, but other programming languages are also valuable), and
- work with analysis and statistical programming with MatLab, Python, R or similar tools
Preferably you have a large research network and experience in:
- development, validation, and usage of numerical models on climate time scales,
- work with regional high resolution ocean models to downscale global climate scenarios according to international protocols,
- work in the Baltic Sea, the North Sea, and/or the Arctic Ocean.
- attracting external funding, preferably even for larger international projects,
- interaction with stakeholders,
- supervision of students and younger researchers,
- academic commissions, and
- project management
As a person, you are structured, and plan, organize, and prioritize you work in an efficient manner to meet deadlines. You are able to work in a team as well as independently. You are highly motivated to work with research, data analysis, model development, and problem solving. You also have a large interest in natural sciences and especially in ocean and climate related questions.
A good knowledge of English in both speech and writing is required. Knowledge of Swedish is beneficial, and if absent, an effort to learn is expected.
For more information, please contact Lars Arneborg, head of the oceanography unit or Elin Ring, Human Resources.
Union representatives are for SACO Lennart Robertson, and for ST Anders Höglund. All can be reached at +46 11 495 80 00 or by e-mail, firstname.lastname@example.org.
We look forward to receiving your application marked with reference number 1379, but not later than 1 September 2019.
SMHI is an expert authority with a global outlook and a vital mission to forecast changes in weather, water and climate. With a scientific foundation, we use knowledge, research and services to contribute to a more sustainable society. Every hour of every day, all year round.
Lars Arneborg, Head of Unit, 011-495 80 00, email@example.com
Elin Ring, Human Resources, 011-495 80 00, firstname.lastname@example.org
Lennart Robertson, SACO, 011-495 80 00, email@example.com
Anders Höglund, ST, 011 495 80 00, firstname.lastname@example.org
Closing date: 1 September 2019.
PhD position at the Department of Mathematics and Statistics, University of Strathclyde. Starting date is 30 September 2019
We all know that global warming is a serious issue for the future of humankind and is intimately related with anthropogenic CO2 emissions. But what is the most critical process affecting atmospheric CO2 concentrations? In this project, you will be able to develop mathematical models to describe the process of the biological pump, which is deemed as the most critical process in regulating atmospheric CO2 concentrations and the global climate (Sigmann & Boyle 2000). Biological pump is the process that phytoplankton capture CO2 at sea surface (via photosynthesis) and transfer organic matters to the interior ocean by sinking. Due to the vast volume and the carbonate system, the deep ocean stores the majority of soluble inorganic carbon in the Earth system, thus playing the pivotal role in regulating atmospheric CO2. The exciting part of the project is that you will need to incorporate plankton functional diversity into the model, which has not been seriously considered in previous models.
It is anticipated that you will receive substantial trainings on mathematical and statistical modelling including but not limited to analyses on ordinary and partial differential equations and Bayesian inference. You will also have the invaluable opportunity to work on the high-performance computing system in Strathclyde (https://www.archie-west.ac.uk/). Your mathematical, statistical, and programming skills are expected to be substantially enhanced during the PhD training. These skills will be very useful for securing some of the most popular jobs in this Big Data era.
You will mainly work within the Marine Population Modelling group, Department of Mathematics and Statistics, University of Strathclyde (https://www.strath.ac.uk/science/mathematicsstatistics/smart/marineresourcemodelling/). You will also have the opportunity to collaborate with the group of Prof Hongbin Liu in Hong Kong University of Science and Technology.
Applicants should have or expect to obtain a good honours degree (1, 2.1, or equivalent) in applied mathematics, statistics, earth science, ecology, or a highly quantitative science. Experience of numerical modelling and programming in Fortran, Matlab or R would be highly beneficial, but not essential.
To apply, send 1) a complete CV, 2) a 1 page personal statement explaining your interests and skills for this project, and 3) names and contact information of three references to the lead supervisor, Dr Bingzhang Chen, Department of Mathematics and Statistics, University of Strathclyde, Glasgow at email@example.com.
The preferred starting date is 30 September 2019.
We value diversity and welcome applications from all sections of the community.
The University currently holds a Bronze Athena SWAN award, recognising our commitment to advancing women’s careers in science, technology, engineering, maths and medicine (STEMM) employment in academia.
This studentship is funded by the University of Strathclyde and is open to all nationalities. However, it is expected that non-EU/UK students should bring their own funding to match up with the extra international fee.
Sigman, D. M., & Boyle, E. A. (2000). Glacial/interglacial variations in atmospheric carbon dioxide. Nature, 407, 859.
Laws, E. A., Falkowski, P. G., Smith Jr, W. O., Ducklow, H., & McCarthy, J. J. (2000). Temperature effects on export production in the open ocean. Global Biogeochemical Cycles, 14, 1231-1246.
Cael, B.B. and Follows, M.J., 2016. On the temperature dependence of oceanic export efficiency. Geophysical Research Letters, 43, 5170-5175.
Chen, B. and Laws, E.A., 2017. Is there a difference of temperature sensitivity between marine phytoplankton and heterotrophs?. Limnology and Oceanography, 62, pp.806-817.
- last update November 2018 -