If you would like to add a job offer please contact us at the SOLAS International Project Office by email.
Before 2010, pelagic Sargassum spp. bloomed preferentially in the Sargasso Sea and in the northwestern tropical Atlantic. They are now found in large quantities on the coasts of the Lesser Antilles, Central America, Brazil and West Africa. Satellite imagery reveals that these strandings come from colossal quantities of algae drifting from the central tropical Atlantic between 0 and 10°N, disconnected from the known seeding regions. Modelling and forecasting the Sargassum strandings is essential for designing effective integrated risk management strategies, and corresponds to a strong and pressing demand from the civil society. This operational challenge concerns both event forecasts (i.e. on a one-week scale) and long-term forecasts (one to several months). While many efforts have been made for short-term forecast, initiatives for reliable long-term forecasting are very scarce and face several scientific obstacles.
The successful candidate will implement a seasonal and mechanistic forecast of the large scale Sargassum distribution over the Tropical Atlantic with a few months in advance. This will rely on the development and skill assessment of a physical-biogeochemical (based on NEMO-PISCES models) seasonal forecast at 1/4o horizontal resolution and the integration of a Sargassum drift and growth in the seasonal prevision. The project will benefit from Mercator Ocean computing resources and modelling expertise. The regional NEMO-PISCES model configuration of the Tropical Atlantic has already been developed at LEGOS.
The successful candidate will share his time between LEGOS (http://www.legos.obs-mip.fr) and Mercator Ocean (https://www.mercator-ocean.fr). This work will be carried out in a highly collaborative framework involving researchers working on Sargassum physiology and Sargassum teledetection from space (MIO, LIS, LEMAR). Applicants should have a PhD in physical or biogeochemical oceanography (defended less than 5 years ago) or other similar fields of study. A background in numerical modelling would be a plus and an interest in multidisciplinary approach is necessary. Good programming skills (especially FORTRAN90, Python) are required.
Interested candidates should send their CV, a letter explaining their motivation for the position to:
Julien Jouanno (email@example.com),
Marie Helene Radenac (MarieHelene.Radenac@legos.obs-mip.fr) and
Yann Drillet (firstname.lastname@example.org)
The postdoc, funded by IRD (Institut de Recherche pour le Développement), is expected to start between November and December 2019. Review of applications will be made until the position is filled. The contract will cover a period of one year and will be extended for one year depending on progress.
Lecturer in Atmospheric Chemistry - School of Environmental Sciences - UEA
We invite applications for a Lectureship in Atmospheric Chemistry in the School of Environmental Sciences within the Faculty of Science at UEA. The School is one of the largest and longest established academic departments in Europe to focus on the study of the global environment, ranking 1st for impact in the UK REF 2014.
It hosts the Centre for Ocean and Atmospheric Sciences, which comprises around 25 members of faculty whose research addresses many of the critical global environmental challenges of our time: e.g. climate change, changes to polar regions, ocean acidification, air quality and ozone depletion. Our approach is to investigate the atmosphere and oceans as an integrated system, for example looking at air-sea gas exchange, links to the cryosphere and the land and marine biosphere.
Candidates will have developed strong expertise in an area of atmospheric chemistry research and will be excited by the opportunity to develop their research interests in the rich interdisciplinary environment the School offers.
The central focus of the post is the chemical composition of the atmosphere, understanding the atmospheric budgets and chemical cycles of key constituents relevant to air quality and climate change. We are interested in candidates who will conduct research in one or more of the following fields: laboratory studies, atmospheric observations or modelling. Their research is expected to make scientific advances which will lead to high impact.
They should also have a keen interest in developing excellent teaching and will contribute to the School’s BSc and MSc programmes in environmental sciences and geography, primarily in atmospheric chemistry and related topics.
Applicants must have a PhD in atmospheric chemistry (or equivalent experience) or a closely allied and appropriate subject and fulfil all essential elements of the person specification.
This post is available immediately, on a full-time indefinite basis.
We welcome applicants from all protected groups as defined by the Equality Act 2010 and, in particular, those from black or other minority ethnic backgrounds.
Ref: ATR1487, Closing date: 2 October 2019
Full-time, £42,792 to £49,533 per annum
Contact 1 Professor Kevin Hiscock, 01603 593104, email@example.com
Contact 2 Professor Claire Reeves, 01603 593625, firstname.lastname@example.org
Contact 3 Professor Jan Kaiser, 01603 593393, email@example.com
For Further Details please go to
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 firstname.lastname@example.org.
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 August 2019 -