Job Vacancies and Post-doctoral Opportunities
Postdoctoral research associate position available at Deakin University, to work on new project on ecosystem risk assessment, funded by the Australian Research Council: “Ecosystem risk assessment: new solutions to the global biodiversity crisis”.
Summary: This project aims to develop a typological framework for the world’s ecosystems, and undertake the first broadscale global risk assessment for ecosystems. It also includes detailed Australian risk assessments and scenario analyses to develop sustainable management of ecosystem services and climate adaptation strategies, with a focus on Alpine ecosystems.
The Postdoctoral Research Fellow will initiate and conduct research in ecosystem risk assessment, management and conservation. S/he will undertake risk assessments of Australian ecosystems, building on the IUCN Red List of Ecosystems protocol, and undertake scenario analyses to inform the sustainable management of ecosystem services and climate adaptation strategies, with a focus on alpine and sub-alpine ecosystems.
The postdoc will work closely with the team at Deakin (Emily Nicholson, Rebecca Lester & Susanna Venn) and project partner Tracey Regan(DELWP). For more information, and to apply for the position, please visit the position description on the Deakin website.
This is a full-time, 3 year fixed-term position based at the Melbourne Burwood campus and classified at Research Fellow Grade 1 (Level A) with salary in the range of $86,479 p.a + 17% superannuation. Ideal starting date is July/august, but we are flexible for the right candidate.
Team: David Keith (UNSW), Emily Nicholson (Deakin), James Watson (UQ), Nick Murray(UNSW), Rebecca Lester (Deakin), Susanna Venn (Deakin), Richard Kingsford (UNSW), Lucie Bland (Deakin), Jon Paul Rodriguez (IUCN), Tony Auld (NSW OEH), Tracey Regan(DELWP), Hedley Grantham (WCS), Mark Tozer (NSW OEH)
Project partners: IUCN (International Union for the Conservation of Nature), Provita, Wildlife Conservation Society, NSW Office of Environment and Heritage, Victoria’s Department of Environment, Land, Water and Planning
A new post doc opportunity to model climate change impacts on the Northeast U.S. marine ecosystem using Atlantis. The position can be located at the email vincent.saba with any questions. Thanks in advance for spreading the word throughout your networks!
The NOAA Northeast Fisheries Science Center is seeking a Post-Doctoral Research Associate at either the Woods Hole, MA lab or Narragansett, RI lab. A Ph.D. is required for this position. Applicants should have a background in: 1) marine science or fisheries science, 2) ecosystem or population modeling, 3) model coding (R, Matlab, etc.). Experience with end-to-end ecosystem models like Atlantis is desired but not required. This project will fund a fulltime NRC post-doc that will focus on climate simulations (hindcast and projection) of the Northeast U.S. version of the Atlantis end-to-end ecosystem model.
Project Background: In order for the NEFSC to fully assess the impacts of historical and future climate change on the entire U.S. Northeast Shelf Large Marine Ecosystem (U.S. NES) from physics to production to human dimensions, we must use an end-to-end ecosystem model such as Atlantis (Fulton et al. 2011). Atlantis is a mechanistic simulation model that includes all components of a marine ecosystem from biophysical variables up through economic and social variables.
The research objective is to use a new, ROMS (regional ocean modelling system) linked version of Atlantis and force it with a new biophysical hindcast of ROMS-COBALT (ROMS with biogeochemistry; Zhang et al. 2018) as well as two high-resolution climate change projections from GFDL’s global climate model CM2.6 (Saba et al. 2016) and the ROMS-COBALT projection under the high emission scenario RCP8.5. These objectives will allow both the validation of the improved Atlantis model (hindcast) and the assessment of multiple, future management strategy scenarios under a changing climate in the Atlantis projections.
The three main tasks are as follows:
1) Couple the Atlantis ecosystem model to output of ocean and biogeochemical forcing variables from the ROMS-COBALT hindcast that runs from 1981-2015 (Zhang et al, 2018). The ROMS-COBALT hindcast will be converted to the same horizontal and vertical spatial scale as Atlantis. The forcing variables will include physics (i.e. ocean temperature, salinity, and circulation) and biogeochemistry (i.e. pH, dissolved oxygen, phytoplankton, and zooplankton). This coupling will result in a hindcast of Atlantis for the U.S. NES from 1981-2015. We will then validate the Atlantis hindcast using observations (i.e. trawl survey data).
2) Couple the Atlantis ecosystem model to output from CM2.6 (Saba et al. 2016) and a new ROMS-COBALT projection that was run under the IPCC’s AR5 high-emissions scenario RCP8.5. This ROMS daily run includes both physics and biogeochemistry for the years 2055-2085. This coupling will result in a state of the art climate change projection of Atlantis for the U.S. NES.
3) Evaluate various management strategy scenarios using the Atlantis climate change projections. This will involve assessing the impacts of adaptive management compared to “business as usual management” to climate change within the Atlantis model. This component of the analysis will include commercial and recreational species, as well as protected species such as marine mammals and sea turtles
Scott Large, PhD
Chief, Ecosystem Dynamics and Assessment Branch
Northeast Fisheries Science Center, NOAA/NMFS
166 Water Street, Woods Hole, MA 02543
Phone: (508) 495-2346
Fax: (508) 495-2032
Job title : Researcher in Numerical Ecology
Department/Office : Département Oceanographie et Dynamique des Ecosystemes
Unité de recherche Dynamique des Ecosystèmes Côtiers
Laboratoire Ecologie Benthique Côtière
Duty station: Brest, Bretagne, FR , France
Starting date on the job :
Deadline for applications : 10/04/2019
The Institute and the recruiting departement
French Research Institute for Exploitation of the Sea, Ifremer, through its research work and expert advice, contributes to knowledge of the oceans and their resources, to monitoring of marine and coastal environments and to the sustainable development of marine activities. To these ends, Ifremer conceives and operates tools for observation, experimentation and monitoring, and manage the oceanographic databases.
Created in 1984, Ifremer is a French public institute of an industrial and commercial nature. It is supervised jointly by the Ministry of Higher Education and Research and the Ministry of the Environment, Energy and Marine Affairs.
Ifremer undertakes research missions, offers expert advice and acts as a funding agency.
Ifremer performs targeted applied research to address the questions posed by society (climate change effects, marine biodiversity, pollution prevention, seafood quality etc.). Results include scientific knowledge, technological innovations, and systems for ocean observation and exploration. Partnerships may be public, private or a combination of the two.
Ifremer works in a network with the French scientific community, also collaborating with international partner organizations, in the frame of several national and international projects, including contractual activities.
Description de l’offre:
The recruiting department
DYNECO (Dynamics of Coastal Ecosystems) research unit is part of the ODE « Oceanography and Ecosystems Dynamic » Department. Its main objective is to study how coastal ecosystems respond to anthropogenic or natural pressures. DYNECO conducts scientific activities and expert assessments in this field. DYNECO strategy relies on the analysis of physical, biogeochemical, and biological processes and is based on experimentations, in-situ observations and modelling. The main research areas are related to: i) dissolved and particulate matter fluxes within marine coastal ecosystems, ii) diversity and functioning of ecological communities and of their habitats, iii) perturbations at the population scales. Within DYNECO, the Coastal Benthic Ecology Laboratory (LEBCO) focuses on the explanation of structures and associated functionalities of benthic coastal ecosystems and the Pelagic Ecology Laboratory (PELAGOS) deals with biogeochemical fluxes, dynamics and functional diversity of plankton communities, with special interest in toxic microalgae, in response to anthropogenic pressures.
Numerical ecology has been developing to test and apply theories in ecology and help analyzing complex datasets made of heterogeneous data, e.g. remote sensing, monitoring surveys, outputs of mathematical models, meteorological and climatic drivers, molecular ecology, etc. Applications deal with ecological niche, changes in spatial distribution, phenology of target species and long-term changes of communities in relation to global change. As a numerical ecologist, the scientist will work in collaboration with DYNECO benthos and plankton ecologists to address these scientific issues along the lines of DYNECO research roadmap and the new Ifremer strategic plan.
General areas of responsibility
The scientist will contribute to a better understanding and assessment of ecological changes. By developing and applying innovative statistical tools and using data collected within Ifremer monitoring surveys and scientific projects, he/she will address key ecological questions in the context of global change and ecological forecasting.
The scientist will develop original research projects with other scientists working on benthos and plankton ecology and more specifically:
- Develop and analyze indicators of coastal ecosystem functioning accounting for the spatial and temporal patterns of species assemblages, genetic and functional diversity,
- Apply statistical methods to analyze within- and between species interactions and contribute to the formulation of deterministic ecological models regarding population/community,
- Model spatial distribution and temporal succession of species and functional groups, identify the effect of environmental drivers and predict the responses to global changes,
- Develop and prospect new statistical methods and tools of interest for applications in marine ecology, e.g. deep learning methods.
To carry out these tasks, he/she write proposals, participate to research projects and (co-) supervise Master students, PhD students and post-doctoral scientists in collaboration with DYNECO ecologists. He/she will develop national and international collaborations and communicate his findings by writing papers in international scientific journals and presenting his results in international conferences. He will contribute to Ifremer support of public policy through his expertise in his field of research.
Collaborative work environment
- Internal collaborative relationship : benthos and plankton ecologists in DYNECO and other research units (Unité Littoral, EMH, etc.), and interactions with other relevant disciplines (e.g. physical oceanographs, sedimentologists, etc.),
- External collaborative relationship : national and international collaborations with Universities, Research Institutes and groups of research involved in numerical ecology.
PhD in Ecology or Statistics with strong experience in numerical ecology.
Required knowledge, skills and characteristics
- Knowledge, skills and abilities
– Strong background in Statistics, data analysis and ecology
– Experience in programming with softwares such as R
– Good writing skills
– Good English writing and speaking skills.
- Human qualities
– Motivation for working in a team and for student supervision
– Capacity to propose and explore new ideas
– Scientific rigor, organizational and communication skills.
How to apply for this full-time position
Deadline for applications: 10/04/2019
All applications are processed exclusively via our website.
Interested candidates can apply by clicking the “Apply” button.
External Conferences and Seminars
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Workshops and Training
Postgraduate Course “Consumer – Resource Interactions in Times of Global Environmental Change”
2 – 6 December 2018
De Bergse Bossen, Driebergen, The Netherlands
This one-week course will illustrate how adopting a consumer-resource approach can change our understanding of interactions, and how adaptive processes can be important in understanding both academic and applied problems in ecology. This edition of the course will focus on consumer-resource interactions in times of global environmental change at three levels of integration: the individual-population level, the community-ecosystem level and the socio-ecological level.
The topics will be introduced by world-renowned experts, with a focus on the latest developments and ongoing research efforts. The introductions will provide the starting point for practical work by the participants to make the acquired knowledge operational. To this end, sub-groups are challenged to develop ideas for their own research: analyzing their own data, writing a proposal, planning an experiment, developing a model or writing a paper.
Joel Brown (University of Illinois at Chicago)
Don DeAngelis (University of Miami)
John Fryxell (University of Guelph)
Bob Holt (University of Florida)
– On Sunday evening, we start with warming-up lectures.
– On Monday, the basics of consumer-resource interactions and the topics will be introduced. Then groups will be formed.
– During the following days, there will be lectures on specific topics, followed by discussion. The rest of the day will be spent on the practical work, under the supervision of the lecturers and the organisers.
– On the last day, the groups present their practical work to all participants.
Hotel & Conference Centre De Bergse Bossen, Driebergen, The Netherlands (www.debergsebossen.nl)
You can register via https://www.pe-rc.nl/postgraduate-courses/consumer-resource-interactions
FEE (Includes B&B, coffee, tea, lunches, dinners and course materials)
– PE&RC, SENSE, RSEE and RSEE PhD candidates with an approved Education Plan (TSP): € 330,-
– All other PhD candidates: € 650,-
– Postdocs and staff affiliated to the organizing graduate schools: € 650,-
– All others: € 930,-
Wolf Mooij (Netherlands Institute of Ecology, w.mooij)
Bart Nolet (Netherlands Institute of Ecology, b.nolet)
Frank van Langevelde (Wageningen University, frank.vanlangevelde)
Lennart Suselbeek (Graduate School PE&RC, lennart.suselbeek)
PhDs, Scholarships, Awards, and Funding Calls
|Queensland Water Modelling Network|
|Copyright © 2018 Queensland Water Modelling Network. All rights reserved.|
FOUR PHD SCHOLARSHIPS AVAILABLE
The Queensland Government has funded the Queensland Water Modelling Network (QWMN) to develop a broad network and build the capacity of the modelling of surface water and groundwater resources in the state.
Through the QWMN Innovation Program, the QWMN will support innovation in the sector and enhance modelling capacity by placing a cohort of PhD students with host universities and key industry partners to carry out applied research in water modelling, for natural resources management and environmental outcomes.
As a PhD student (Innovation Associate), you will receive a stipend and generous top up, industry-relevant water modelling experience, and mentoring and personal development carried out through the university, industry partner and the QWMN. As an Innovation Associate you will be expected to become an industry leader in innovation and technology in the water modelling sector.
Titles of the PhD projects under the Innovation Program, and their respective university supervisors and industry partners, are:
- Project 1: “Modelling water quality in ungauged Great Barrier Reef catchments”
(University of Southern Queensland / Bureau of Meteorology)
- Project 2: “Fate and transport of sediment and pathogens in water supply reservoirs”
(The University of Queensland / Griffith University / Seqwater)
- Project 3: “Human and climate driven pressures on groundwater and surface water resources of the Gold Coast”
(Griffith University / The University of Queensland / City of Gold Coast)
Project 4: “Quantifying evapotranspiration in groundwater dependent ecosystems”
(Queensland University of Technology / Queensland Government – Department of Environment and Science)
There are two steps to applying for a PhD scholarship under the QWMN Innovation Associates program. You must complete both steps in order to be considered for one of the four PhD scholarships.
- Step 1
Once you have selected the project you are interested in, you must complete and submit an application to the relevant host university for that PhD project.
- Step 2
You will also need to submit an application for the top-up scholarship to the QWMN. The application to the QWMN must include: confirmation of receipt of the PhD application (Step 1) to the host university, a targeted CV, and a 2-page cover letter.
FIND OUT MORE
Queensland Water Modelling Network
Copyright © 2018 Queensland Water Modelling Network. All rights reserved.
Susan Cuddy | Team leader | Basin Management Outcomes | CSIRO Land and Water |
GPO Box 1700, Canberra ACT 2601 | T: +61 2 6246 5705 | 0477 714 466 email@example.com
MSSANZ Fellow and Committee Secretary | Modelling and Simulation Society of Australia and New Zealand Inc http://mssanz.org.au
iEMSs Fellow and Board member | International Environmental Modelling and Software Society http://www.iemss.org
There are several funded MSc and PhD positions available starting in the fall semester 2019 at the Quantitative Fisheries Ecosystems Lab (QFEL) at the Center for Fisheries Ecosystems Research (CFER) at the Marine Institute, Memorial University of Newfoundland, Canada. We work with the fishing industry and government partners on research to support sustainable fisheries in the Northwest Atlantic. More information is available at: https://www.mi.mun.ca/departments/centreforfisheriesecosystemsresearch/ocichair/
CFER continues to expand and students will join a dynamic research and training environment. The student is encouraged to develop their own projects within the broad scope of our funded research program. The student will be part of the Marine Institute’s graduate program in fish stock assessment (https://www.mi.mun.ca/programsandcourses/programs/fisheriessciencestockassessmentmasterofsciencemscdegree/) and will receive state-of-the-art training in modelling marine fish productivity contributing to improved fish stock assessment models. This will include advanced training in estimation of spatial and state-space ecological models. Career opportunities for graduates are excellent.
Desirable candidates will have strong scientific credentials in ecology, fishery science, statistics or another relevant field. Preference will be given to applicants 1) with demonstrated expertise in quantitative skills in ecology or stock assessment 2) who can code efficiently in R or other programming languages, and 3) who have a publication record (PhD students).
Funding is guaranteed for the entire length of the master (2 years) and PhD program (4 years) and fully covers tuition and living expenses.
To apply for this position: send a current curriculum vitae and letter of interest/career goals, unofficial transcripts of all college course work, and the names and contact information for two professional references to:
Dr. Noel Cadigan (Noel.Cadigan@mi.mun.ca), Dr. Jin Gao (Jin.Gao@mi.mun.ca), Dr. Fan Zhang (Fan.Zhang@mi.mun.ca). Please contact Drs. Cadigan, Gao and Zhang directly with any questions about these positions. Review of applicants will begin immediately and continue until suitable candidates are identified.
Professor Roland H. Lamberson
Emeritus Professor of Mathematics
Humboldt State University
Arcata, CA 95521
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