Apologies for cross-posting but I would be grateful if you can consider
if you know anyone for the following open-ended post in my group and
circulate the advert please
PML has an open-ended position for a Bio-economic modeller to support
their Sea and Society group and its currently funded projects, and to
lead future development of aspects of economic modelling. They should
have skills and experience in at least one of the following areas:
•bio-economic modelling of fisheries and aquaculture
•economic modelling of ecosystem services and benefits
•bio-economic decision support tool development using probabilistic
graphical modelling/machine learning
Please find below a Postdoc announcement to be hosted in Ifremer, Brest.
IMPACT OF CLIMATE CHANGE ON ANCHOVY AND SARDINE POPULATIONS OF THE
NORTH-EAST ATLANTIC: A DEB-IBM MODELLING APPROACH.
The objective is the evaluation of the impact of climate change at the
horizon 2100 on the populations of anchovy and sardine in the Bay of
Biscay. This study will rely on mechanistic modelling at population
scale based on an Individual-Based Modelling (IBM) approach and on the
Dynamic Energy Budget (DEB) theory. Growth and reproduction will be
represented at the individual level throughout the life cycle, and
included in a population model to analyze the recruitment process, which
is key in the dynamics of these populations. This study is part of the
European H2020 CERES project. The environmental forcing will be
extracted from the coupled model POLCOMS-ERSEM from the project partner
Plymouth Marine Laboratory and will cover the period 1960-2099 under
different climate change IPCC scenarios. A first step will focus on
model calibration, especially the natural mortality parameters, on a
hindcast period impacted by fishery, as well as on validation using
abundance information. A second step will concern the analysis of the
specific response to climate change in the Bay of Biscay. Finally it is
suggested to consider other European regions of the current area of
distribution and investigate the regional trend of expansion or
retraction for the populations of both species.
Additional information is available at :
Innovative and highly motivated candidates with strong track records of research productivity are invited to apply for a Postdoctoral Associate position with the Center for Systems Integration and Sustainability (CSIS) at Michigan State University. The position will involve interdisciplinary research that integrates spatial, socioeconomic, and environmental sciences, with a focus on the operationalization of the telecoupling framework (socioeconomic and environmental interactions between coupled human-natural systems over distances, http:///www.telecoupling.org). The successful candidate will have opportunities to work and collaborate on one or more of the following tasks:
- Develop spatially-explicit models and tools to describe and quantify socioeconomic and environmental interactions between coupled human-natural systems
- Compile and collect socioeconomic and environmental data at local, regional, national, and international scales to quantify various factors affecting feedbacks between global food security and land use
- Analyze and synthesize multi-scale data to understand relationships among various factors to facilitate modeling of feedbacks between food security and land use
- Modify or integrate existing global trade modeling approaches (e.g. GTAP, PEATSim) into the telecoupling framework using data and analyses listed above to allow simulation of long-term consequences for land use and food security under various scenarios (e.g., various decisions and policy options regarding land use and food security, changes in population size, climate, urbanization, biofuel demand etc.)
This is an exciting opportunity to join a dynamic interdisciplinary group with collaborators in Brazil, China, UK, US, and other countries. Selected candidates will have a unique opportunity to develop and expand collaborations within the Center and across international research groups. Preferred applicants will already have an interdisciplinary background with experience integrating GIS with analytical approaches from the economic, social, geographic, ecological, or/and agricultural sciences; have some basic experience in spatial analysis/modeling and good programming skills (e.g. Python, R, or C++); and have excellent communication skills and a PhD in a related field (e.g., computer science and engineering, conservation, ecology, economics, geography, environmental science, international trade, land science, spatial science, systems modeling and integration). This position is initially for one year, renewable depending on performance and funding. A competitive salary and benefit package will be offered commensurate with experience.
Application materials should include: (1) letter of application, (2) statement of professional goals and research experiences/interests (e.g., how experiences and interests fit with the tasks listed above), (3) CV or resume, (4) transcripts (unofficial ones are OK initially), (5) list of 3-4 references (names and contact information), and (6) up to three representative publications, models or software programs developed by the applicant.
Applicants are encouraged to submit their application materials as soon as possible. Please visit https://jobs.msu.edu (using posting number 5169) for more information and application submission. Applications are welcome until a suitable candidate is identified. Reviews of applications will begin on April 25, 2017. Start date is relatively flexible. Questions can be emailed to:
Dr. Jianguo (Jack) Liu
Rachel Carson Chair
Michigan State University
Please find below the link to an opportunity for a PhD research project in bio-economic modelling, under a co-tutelle with France (Ifremer, UMR AMURE, Brest) and Australia (CSIRO, Hobart):
Applications are via the doctoral school web site:
Our lab is currently offering 1 postdoctoral position on fisheries bio-economic modelling on the EU-ERC Starting Grant<https://erc.europa.eu/funding-and-grants/funding-schemes/starting-grants> project CLOCK.
Please feel free to share the call among your team and peers. Detailed information is available here:
Thank you very much for circulating,
The Research School of Earth Sciences at the Australian National University invites applications for Postdoctoral Fellow (Level A) or Research Fellow (Level B) in ocean-sea ice modelling.
The Postdoctoral Fellow / Research Fellow is based in the Geophysical Fluid Dynamics (GFD) group to undertake research into the development and evaluation of global, high-resolution ocean and sea ice model configurations. The Postdoctoral/ Research Fellow is expected to liaise and collaborate with Consortium for Ocean-Sea Ice Modelling in Australia (COSIMA) partners to contribute the Australian research community through the research initiative of COSIMA consortium.
A PhD in physical oceanography, climate science, geophysical fluid dynamics or other relevant field is required as well as demonstrated experience in the modelling the ocean circulation and/or the coupled ocean-sea ice system.
For more information about this position please see the following link:
<http://jobs.anu.edu.au/cw/en/ job/515488/postdoctoral- fellow-research-fellow-in- oceansea-ice-modelling>
or contact Associate Professor Andy Hogg at andy.hogg
Classification: Postdoctoral Fellow (Level A) /Research Fellow (Level B)
Salary package: Academic Level A ($68,307 – $86,646) Academic Level B ($94,287 – $107,381) + 17% Superannuation
Terms: Continuing (contingent funded) appointment of three (3) years. The appointment may be extended subject to the availability of funding.
Dr Andy Hogg
Geophysical Fluid Dynamics
Research School of Earth Sciences
Australian National University
The Rollie Lamberson Award celebrates the contribution of Professor Rollie Lamberson to the field of natural resource modeling and the growth of the Resource Modeling Association by recognizing each year the most outstanding paper in natural resource modeling in the previous two years. See http://resourcemodeling.org/lamberson/ or below for more details.
- Only current RMA members are eligible for the award.
- All papers published in Natural Resource Modeling during the previous two calendar years (namely 2015-2016) will be considered automatically provided at least one of the authors is a current member.
- Papers published in other journals may be nominated for consideration provided at least one of the co-authors is a current member. To be considered, the submission must comprise:
- an electronic version of the paper in English,
- a nominating letter specifying why the paper is deserving of the Rollie Lamberson Award. Criteria below.
The Lamberson prize will be delivered to the winners during the 2017 RMA conference to be held in Barcelona on June 6-9, 2017.
Professor Roland H. Lamberson
Emeritus Professor of Mathematics
Humboldt State University
Arcata, CA 95521
- 2017 Lamberson Medal Winners
- 2018 Lamberson Medal Recipient
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