Here you can check out available open positions, funding and training opportunities.
Postdoctoral position in fluid dynamics at the University of Victoria, Canada (deadline: 28.02.2021)
3-year Postdoctoral Researcher (Ocean/Ice Modeller) at Northumbria University, Newcastle Upon Tyne, UK (deadline: 28.02.2021)
Faculty of Engineering and Environment
Fixed Term For 36 Months, Full Time, £35,844 – £40,322
Applications are invited for a three-year postdoctoral research position in ocean/ice modelling, funded by the European Union Horizon 2020 programme. The post will contribute to two EU projects: PROTECT (2 yrs of funding) and TiPACCs (Tipping Points in Antarctic Climate Components, 1 yr of funding). The work will focus on improving the representation of ocean circulation beneath ice shelves in large-scale, primitive equation ocean models. The candidate will primarily work with Adrian Jenkins, Hilmar Gudmundsson and Chris Bull at Northumbria University. The successful candidate will have a PhD in either physics or mathematics, or in a related, numerate discipline such as glaciology or geophysics. Experience in numerical modelling and background in or knowledge of applied mathematics is desirable. The post will commence in early to mid-2021.
Further details can be found at https://www.northumbria.ac.uk/work-for-us/job-vacancies/academic-3368-postdoctoral-researcher—oceanice-modeller
4-year Postdoctoral Researcher (Ocean/Ice Modeller) at Northumbria University, Newcastle Upon Tyne, UK (deadline: 28.02.2021)
Faculty of Engineering and Environment
Fixed Term For 48 Months, Full Time, £35,844 – £40,322
Applications are invited for a four-year postdoctoral research position in ocean/ice modelling, funded by the UK Natural Environment Research Council (NERC). The project will focus on developing our understanding of the role played by the oceans in driving ice sheet change. Specific regions of interest are East Antarctica and northern Greenland, but there will also be a general/theoretical focus on the role of ice shelf topography, in particular the basal channels that characterise many of the ice shelves, on the sub-ice ocean circulation and the resulting ice shelf melt rates. The candidate will primarily work with Adrian Jenkins, Hilmar Gudmundsson and Jan De Rydt at Northumbria University, as well as with Helen Johnson in the Department of Earth Sciences at Oxford University. The successful candidate will have a PhD in either physics or mathematics, or in a related, numerate discipline such as glaciology or geophysics. Experience in numerical modelling and background in or knowledge of applied mathematics is desirable. The post will commence in early to mid-2021.
Further details can be found at https://www.northumbria.ac.uk/work-for-us/job-vacancies/academic-3363-postdoctoral-researcher—oceanice-modeller
Informal enquiries can be directed to Adrian Jenkins (firstname.lastname@example.org) in both instances.
2-year postdoctoral position at CNRS, LOPS, Brest, France (deadline for applications: 17.03.2021)
MEDLEY project (MixED LayEr heterogeneitY, medley.cnrs.fr)
Position is open until filled, start date june 1st or later in 2021.
Contact for information: email@example.com
2-year postdoc position in Climate modelling/Paleoclimate, Stockholm University, Sweden (deadline: 31.03.2021)
– The successful candidate will work on understanding the Arctic ocean circulation and cryosphere during the Last Interglacial period, using relatively high resolution coupled climate modelling (with the EC-Earth general circulation model). The Arctic is warming twice as fast as the rest of the world, in large because of the positive feedback of the sea-ice albedo. Adaption to sea-level rise and anticipation of the impacts on Arctic and global ocean circulation is hindered by uncertainty in the contribution from the shrinking Greenland ice-sheet (GIS). To gain a better understanding of the stability of the GIS and the Arctic sea-ice, scientists have turned to the Last Interglacial (LIG) as the last period significantly warmer than today. While forcing mechanisms for the LIG and modern/future warmth are different, i.e. the LIG was forced by different solar insolation, compared to higher greenhouse gas concentrations in the future, important lessons can be gained from understanding the process and impacts of warming on Arctic systems. The problem is that, despite significant attention in the past, current data and models paint a conflicting picture of the LIG Arctic cryosphere (both the sea ice and GIS), implying major gaps in our understanding of the physical process at play. The successful applicant will work as a part of an inter-disciplinary team of experts on paleoclimate modelling, paleoclimate data, and future climate modelling to make step change progress on this question. The project will work closely together with another project that evaluates the Arctic circulation and sea-ice during water interglacials using temperature and sea-ice proxies and plankton taxonomy.
Applicants are expected to have a doctoral degree oceanography, meteorology, applied mathematics or similar relevant to the project and have completed this no longer than 3 years before the deadline of the application.
1 project manager + 12 postdocs: Machine Learning for Ocean/Atm/Sea-ice Modeling (ongoing until all positions are filled)
1 project manager and 12 postdocs at several institutions as part of a new exciting international collaboration, M²LInES: Multiscale Machine Learning In coupled Earth System Modeling, with climate and data scientists from New York University, Princeton, GFDL, Columbia, LDEO, NCAR, MIT, CNRS-IGE, and CNRS-IPSL.
The overall goal of the project is to improve climate projections and reduce climate model biases, especially at the air-sea interface, using machine learning (ML). We will rely on data from a range of high-resolution (idealized and global) simulations and data assimilation products to deepen our understanding and improve the representation of subgrid physics in the ocean, sea-ice and atmosphere components of existing IPCC-class climate models. In addition, we will work on overcoming challenges related to ML for climate modeling including sampling efficiency, generalization, interpretability and uncertainty quantification.
This is a highly collaborative project, and the researchers are expected to interact with different groups. Visit https://m2lines.github.io/jobs/ for more info about the different positions available, and how to apply.
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|Name of program||Funding agency||What is funded||Who can apply||Deadline|
|Personal overseas grant PhD and Post Doc||NFR||Travel & accommodation (3-12 months)||PhD/Post Doc financed by NFR||open-ended|
|DNSZ Seed funding||DNSZ||Travel & accommodation to CAU/GEOMAR in Kiel||PhD students||June & December|
|IIASA Young Scientist Summer Program||IIASA/NFR||Travel & accommodation (3 months)||PhD students||January|
|ERASMUS+||EC||Mobility within ERASMUS network||PhD students||variable|
|The Aurora and DAAD Mobility Programmes||NFR||Travel & accommodation to France/Germany||Researchers & PhD students||September|
|Arctic Field Grant (AFG)||NFR||Funding for fieldwork in Svalbard||PhD & master students||November|
|Support for events||NFR||Support to organise conferences, workshops and seminars||Researchers & PhD students||open-ended|
|Student Entrepreneurship||NFR||Support to students with business ideas which have potential to be commercialized||PhD & master students||March|
*Programs may not have open calls every year, and deadlines may be variable. Check the website of the funding program for updated information*