Vacancy for Ocean/Ice Modeller at British Antarctic Survey

We are seeking an Ocean/Ice Modeller to join the Polar Oceans team at the British Antarctic Survey. This is a 3-year (initially, but with the possibility of extension beyond) postdoc position that will work on the ocean component (NEMO) of the UK Earth System Model. The work will be undertaken in collaboration with other NEMO developers based at the National Oceanography Centre, Southampton, and the Met Office, in Exeter, and with other ESM developers based at the Met Office and the University of Reading. One of the main aims is the coupling of NEMO to the BISICLES ice sheet model within the framework of the ESM.

 Further details can be found at ajen) with any questions about the role. Regards, Adrian 

Fully funded PhD position “Ocean modelling using novel data assimilation techniques” in Plymouth, UK

We are looking for a PhD candidate with good mathematical abilities to join our team as a PhD student to take on the project “Ocean modelling using novel data assimilation techniques”.

The successful applicant will be working within the team at the Plymouth Ocean Forecasting Centre and also establish collaborations with a large number of international partners on the forefront of operational ocean forecasting.
Previous experience in oceanography is not compulsory, but a good grounding in mathematics/physics and IT skills are highly desirable.
So if you know of a suitable student who would like to spend 3 years in the beautiful South-West of the UK please direct them to PhD advert here:

The closing date for applications is 20th July. Applications must be made online according to instructions given on (Click “Apply”).
Potential applicants are welcome to contact me with informal queries and help with the application process.
More details below.
Thank you
Fred Wobus

Title: Ocean

modelling using novel data assimilation techniques
Supervisors Prof

Georgy Shapiro
Dr Fred Wobus
Dr Xavier Francis
Project Description
Plymouth University has an internationally recognised standing in coastal/shelf sea marine science. The primary purposes for this project is contribute to research, development and assessment of the next generation regional (coastal/shelf sea) ocean model and the variational data assimilation system embedded in it. Modern ocean models are an integral part of the Global and Regional Ocean Observing Systems which combine observations, modelling and analysis of marine variables to support operational ocean services worldwide.
The research will focus on the ability of variational data assimilation techniques to improve the quality of regional shelf sea models. Emphasis will be on assimilating temperature and salinity profiles along with sea surface height which has proven scientifically challenging in the shelf environment.
The PhD will work within the Plymouth Ocean Forecasting Centre in the School of Marine Science and Engineering, the study will be linked to the on-going research projects and be built on the success of our participation in EU MyOcean ( and PERSEUS ( multidisciplinary research. The student will participate in the regular PhD training programme offered by the School of Marine Science and Engineering and the Postgraduate School, University of Plymouth.
Applicants should have a minimum of a first class or upper second class bachelor degree in Marine / Ocean / Environmental science, Physics, Maths, or a similar subject. Applications from candidates with a relevant Masters qualification will be welcomed. Knowledge of FORTRAN or MATLAB/PYTHON programming languages will be an advantage.
The studentship will have a 3 year duration and will cover full-time Home/EU tuition fees plus a stipend of £14,296 per annum. The position is open to all applicants, although candidates required to pay overseas fees must be able to cover the difference between Home/EU and overseas tuition fees (approximately £11,040 per annum).
If you wish to discuss this project further informally, please contact Professor Georgy Shapiro (gshapiro) or Dr Fred Wobus (fwobus). However, formal applications must be made in accordance with the details shown below.
General information about applying for a research degree at Plymouth University is available at:
You can apply via the online application form which can be found at: and

click ‘Apply’.
Please mark it FAO Miss Francesca Niedzielski and clearly state that you are applying for a PhD studentship within the School of Marine Science and Engineering.
For more information on the admissions process contact Francesca Niedzielski on francesca.niedzielski
Closing date for applications: 12 noon, 20 July 2016.
Shortlisted candidates will be invited for interview in July or August 2016. We regret that we may not be able to respond to all applications. Applicants who have not received an offer of a place by approximately 6 weeks after deadline should consider their application has been unsuccessful on this occasion.

MSc./Ph.D Studentship at the University of Cape Town

Seasonal forecast information for improved sector-specific decision making

The Climate Systems Analysis Group (CSAG) is currently seeking a
motivated person with a passion for exploring the interaction of climate
and agricultural systems in southern Africa. This is an opportunity to
join one of the largest multi-disciplinary and vibrant climate system
research groups on the continent, and help address key issues related to
the uptake of seasonal forecast information within southern Africa.

What to expect:The incumbent will work as part of a small team within
CSAG and with research partners at the Council for Scientific and
Industrial Research (CSIR), University of Pretoria (UP) and the South
African Weather Service (SAWS). This team and partners conduct research
on using seasonal climate information (including forecasts from Global
Climate Models and downscaling techniques) to evaluate predicted impacts
on agricultural systems (crops and livestock), water resources, and
appropriate options/actions for responding to predicted impacts. This
position is directly connected to the Southern African Science Service
Centre for Climate Change and Adaptive Land Use(SASSCAL) project/Climate
Modelling for the Improvement of Seasonal Forecasts and its Applications
for Southern Africa//,/the objective of which is to advance the
integration of seasonal forecast information in decision making and
planning. In particular, the successful candidate will be expected to
contribute to efforts to monitor and predict aspects of within-season
climate variability that are important for agriculture e.g. onset,
cessation, dry spells, heat stress etc, as well as the development of
tailored products that can advance decision-making and the assessment of
near-term risks.

The successful candidate will ideally be a climate/environmental
modeller with a keen interest in agricultural applications and
preferably having direct experience with climate/hydrological/crop
models, remote sensing or agrometeorological applications. Proficiency
in one or more modern scientific programming languages (e.g. R, Python)
is an advantage, as is experience of Linux operating environments.
Depending on experience the successful applicant for the MSc/PhD
position will have flexibility to develop his/her research interests
within the scope of the SASSCAL-funded project, which will provide afull
scholarship to cover living expenses and university registration (R
75-120,000 annually reviewed, depending on postgraduate level).
Supervision:The MSc./Ph.D candidate will be co-supervised by Dr Mark
Tadross, Dr Emma Archer (CSIR) and Prof. Willem Landman (UP). Further
connections and interactions with senior and junior staff at CSAG will
be welcomed and expected (see <>). About
CSAG:CSAG is a vibrant multi-disciplinary research group at the
University of Cape Town, with approx. 30 members, and a strong track
record in addressing climate issues. The group currently runs multiple
global and regional climate models, has good in-house computational
capacity and access to additional supercomputer facilities. Research
foci span atmospheric physics, climate analysis, climate modeling and
forecasting as well as engagement with climate change impacts and
adaptation in the agriculture and water sectors especially, and the
support for stakeholders on climate change issues. About the SASSCAL
project:SASSCAL is a joint initiative of Angola, Namibia, Botswana,
South Africa, Zambia and Germany. There are five SASSCAL themes
including forestry, agriculture, biodiversity, climate change and water.
Further details can be found at <>

To apply:Submit information requests and applications by email to
climapp <mailto:climapp>(use the reference
‘SASSCAL application’ in the subject line). No fax or postal
applications please. Include a letter of motivation outlining your
interests, research questions you would like to address, reasons for
your application, a full CV (no certificates), and the names, email and
telephone details of 3 referees. Deadline:Application is open-ended,
with the intent to start the MSc./Ph.D as early as July 2016 and no
later than January 2017. Please notethat the CSAG reserves the right not
to make an appointment. This offer is dependent on the applicant’s
acceptance at both the University of Cape Town and the Department of
Environmental & Geographical Science. The offer will be made for the
duration of the studies but is further dependent on satisfactory annual
progress. The Department and University application requirements can be
found on
<> and

The University of Cape Town is committed to equity in our employment
practices. It is our intention to appoint individuals with the aim of
meeting our equity objectives.



Two PhD fellowships in theoretical ecology


ENVIRONMENTS A 3-year PhD fellowship is available at the Centre for Biodiversity Theory and Modelling (dalila.booth) with the reference ML-CST. Review of applications will start immediately until the position is filled. PHD FELLOWSHIP 2: GENERAL ECOSYSTEM MODELS UNDER CLIMATE CHANGE SCENARIOS AND THEIR CONSEQUENCES ON SPECIES INTERACTIONS, ECOSYSTEM PRODUCTIVITY AND STABILITY A 3-year PhD fellowship is available in the Ecological Networks and Global Change group (dalila.booth) with the reference JM-GEM. Review of applications will start immediately until the position is filled. Links:

PhD Impact studentship at the University of Stirling

Please find below information and a link for an environmental modelling PhD opportunity (University of Stirling Impact Studentship) at the Institute of Aquaculture, University of Stirling. The PhD project is associated with the €7 million EU H2020 TAPAS project (Tools for Assessment and Planning of Aquaculture Sustainability ) and will contribute to the near-field modelling work package that focuses on models used to assess nutrient use/outputs (nitrogen, phosphorus and carbon) from marine and freshwater farm systems for management and regulatory purposes across the EU.

The project will develop dynamic models using modelling framework software to estimate nutrient outputs and carrying capacity of several different types of aquaculture within Europe; monoculture and IMTA systems for marine aquaculture, and flow through ponds and recirculating systems for freshwater culture. The dynamic models can also be integrated with spatial models developed using GIS software for aquaculture site selection. Case study locations include Ireland, Malta, Hungary and Denmark.

Closing date: 19th June 2016

Further information and details on how to apply can be found at:

Postdoctoral position in ecosystem modeling, University of Michigan

We are seeking a post-doctoral fellow interested in applying empirical and process-based modeling approaches to tackle policy-relevant environmental issues in aquatic systems to join our team in the Scavia Lab ( at the University of Michigan. The post-doc will be part of an inter-disciplinary team working on a range of projects, including a recently funded project aimed at integrating environmental and socio-economic modeling to understand and predict the ecological and societal impacts of harmful algal blooms (HABs) in the Great Lakes.

The post-doc will work with researchers from multiple institutions to:

  • – develop geostatistical modeling approaches to integrate in-situ and remote sensing long-term datasets of HAB intensity – build and calibrate empirical and process-based models to predict HAB dynamics as a function of multiple environmental drivers
  • – link HAB models to watershed and climate models developed by collaborators to quantify the influence of nutrient loading and climate on HAB formation The post-doc will also have opportunities to develop independent research and/or work on other ongoing modeling efforts, such as modeling of hypoxia dynamics in lakes and coastal systems.

Required skills:

  • – background in aquatic ecology
  • – statistical modeling of ecological datasets and/or process-based ecological modeling, with a focus on aquatic systems
  • – experience with Bayesian hierarchical and/or geostatistical modeling
  • – ability to work in a collaborative, inter-disciplinary setting

The position is available for 1 year, with potential for renewal contingent on funding availability and performance. Preferred start date September 2016. Applications and questions should be sent to scavia. The application should include a CV, a cover letter describing research interests, and a list of three references.
At the Graham Sustainability Institute, our dedication to academic excellence for the public good is inseparable from our commitment to diversity, equity, and inclusion. Our mission of engaging, empowering, and supporting faculty, staff, and students to foster sustainability solutions includes ensuring that each member of our community thrives. We believe that diversity is key to individual empowerment and the advancement of sustainability knowledge, learning, and leadership.

Postdoctoral Fellow in Biological Oceanography

Postdoctoral Fellow position available beginning August 2016 to work on ongoing projects on predator-prey dynamics in the plankton. High-resolution in situ imagery combined with targeted net sampling are being used to identify the biological and physical processes driving fine-scale plankton distributions.

The successful applicant will have a PhD in biological oceanography or a related field, oceanographic field experience, and strong quantitative skills. Experience with imaging systems, image processing, biostatistics, data management, and/or computer programing is strongly preferred. Applicants should be highly motivated, organized, and able to work both independently as well as within a team. This postdoctoral fellow position is based in the Plankton Ecology Laboratory (Drs. Robert Cowen & Su Sponaugle; at Oregon State University’s Hatfield Marine Science Center in Newport, Oregon.
To apply, please send a letter of application detailing qualifications, current curriculum vitae, and the names and contact information for three references by June 30, 2016 tosu.sponaugle

4 Post-Doc Positions in Climate Science

Four Post-Doctoral Positions in Climate Projection and Prediction Science

University of Exeter Climate Systems Group

We wish to recruit four Associate Research Fellows/Research Fellows for two major new projects ‘Robust Projections of Real World Climate Change’ and ‘Securing Multidisciplinary Understanding and Prediction of Hiatus and Surge Events’. These posts are available from 1st October 2016 for up to three years. The projects will seek to improve future climate projections by advancing techniques to combine models, observations and physical understanding using advanced statistical techniques and by looking at mechanisms for decadal climate variability.

We are seeking applicants who have skills in one or more of the following areas; climate modelling, climate dynamics, understanding physical climate change and the development and use of statistical techniques for climate problems. The successful applicants will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.

Applicants will possess a relevant PhD and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. At Research Fellow level, the successful applicant will be a nationally recognised authority in climate science and be able to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.

The ‘Real Projections’ project is led by Prof. Mat Collins and involves scientists from the University of Exeter (Dr Paul Halloran, Dr Hugo Lambert, Dr James Screen, Prof. David Stephenson, Prof. Geoff Vallis and Dr Danny Williamson) as well as scientists from the British Antarctic Survey, the University of East Anglia, NCAS Climate (Reading), the Met Office and the University of Oxford. The decadal variability project is led by Prof. Piers Forster from the University of Leeds and is also a multi-institute project. The University of Exeter post is supervised by Prof. Mat Collins.

For further information please contact Prof. Mat Collins, e-mail M.Collins or telephone 01932 723984.

The successful candidate will be appointed at Associate Research Fellow (Grade E) or Research Fellow (Grade F) depending on the skills and experience the individual can bring to the role. Candidates should demonstrate their achievement against the relevant criteria in the accompanying person specifications which will be used to make an appointment at an appropriate level.

The College is working towards department Silver Athena SWAN awards as a commitment to providing equality of opportunity and advancing the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine.

The University of Exeter is an equal opportunity employer which is ‘Positive about Disabled People’. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.

Mat Collins,
Joint Met Office Chair in Climate Change,
College of Engineering, Mathematics and Physical Sciences,
University of Exeter, Laver Building,
North Park Road, Exeter, EX4 4QE, UK
Tel: +44 (0)1392 723984
Twitter: @mat_collins