http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00Luc Doyenhttp://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngLuc Doyen2022-12-20 02:02:102022-12-20 02:02:503-Days MESSH (Mathematics for bio-Economics and Sustainability of fiSHeries)
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00Luc Doyenhttp://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngLuc Doyen2022-06-24 19:56:312022-06-24 21:42:47An opening for a catchment water quality modeller in New Zealand. Applications close 3 July. https://careers.sciencenewzealand.org/jobdetails/ajid/9R4y9/Water-Quality-Catchment-Modeller,46922.html
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00Luc Doyenhttp://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngLuc Doyen2022-06-24 19:47:192022-06-24 19:47:22Murdoch University has a 2.5 year post-doc position in regional climate modelling available. Applications close 7 July. See https://www.seek.com.au/job/57385479
1/ A funded PhD is available at Queensland University of Technology studying the relationship between vegetation, bushfires and buildings. You’d be using drones and 3D models, and working in a team to create highly impactful outcomes. Please contact Grant Hamilton email@example.com for details.
2/ PhD opportunity is available for a collaborative project between Auckland Bioengineering Institute and DairyNZ and will involve working with and improving the existing cow model, Molly. Molly is a key component in the DairyNZ toolbox used to design sustainable dairy systems for the future. It means that the suitable candidate will have excellent employment opportunities in NZ as post-doc scientist after the PhD.
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00S. L.http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngS. L.2022-03-04 19:26:472022-03-04 19:26:512 PhD positions in Australia
The ANU is seeking a PhD candidate to work on testing for runoff non-recovery in ACT catchments, understanding potential mechanisms behind non-recovery, and incorporating non-recovery into catchment models. The student will be the primary person responsible for carrying out the work of the project. The student will work closely with researchers from across ANU at the Institute for Water Futures, with contacts at Icon Water, and with external experts such as Dr Tim Peterson at Monash University.
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00S. L.http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngS. L.2022-02-04 20:07:122022-02-04 20:07:16PhD Opportunity - Resilience of ACT water catchments at the Australian National University
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00Secretaryhttp://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngSecretary2021-03-27 13:24:422021-03-29 17:25:44EXT International Ecologists, You Are Invited to Submit a Virtual Field Trip for #ESA2021
http://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.png00Secretaryhttp://resourcemodeling.org/wp-content/uploads/2015/05/logo_small_inverted-300x129.pngSecretary2021-10-14 06:02:402021-10-14 06:03:07Symposium: Environmental modelling for better predictions and decisions
The International Society for Ecological Modelling Global Conference 2022 (ISEM 2022), under the theme ‘Ecological Models for Tomorrow’s Solutions’, will bring together scientists from all professions and applications that deal with the use of ecological models and systems ecology.
Toronto shall be the inspiring space for the Ecological Modelling community to meet, discuss and share ideas. In this conference, ecological modellers will join in their ongoing effort in advancing the concepts and methods of ecological modelling to develop ecological theory in a wide range of topics and modelling approaches.
The rigorous analysis of decision problems in environmental management requires specification of criteria to evaluate alternative management strategies; predictive models formulated in terms of variables relevant to management objectives; a finite set of management actions, including any constraints on their use; and monitoring programs to follow ecosystem responses to management.
In this context, the major challenges are associated with the uncertainty in the predictions of management outcomes. This uncertainty may stem from incomplete control of management actions, errors in measurements and sampling, environmental variability, or incomplete knowledge of system behavior. Failure to recognize and account for these sources of uncertainty may lead to catastrophic environmental and economic losses.
Accordingly, there has been a growing interest in the policy practice of adaptive management, which is an iterative implementation strategy that is recommended to address the uncertainty associated with ecological forecasts and to minimize the impact of inefficient management plans. Adaptive implementation or “learning while doing” augments initial forecasts of management actions with post-implementation monitoring, and the resulting integration of monitoring and modelling provides the basis for revised management actions.
ISEM 2022 aims to provide insights into the current state of the field of ecological modelling, and also highlight the major challenges in supporting adaptive management implementation.
We invite contributions that present novel strategies to improve the contribution of models to environmental management, including the development of ecological model ensembles, novel uncertainty analysis techniques, Bayesian inference methods, emerging techniques of data assimilation and model optimization.
From: The Climate Change Conference <firstname.lastname@example.org> Sent: 16 January 2021 10:35
Call for Papers 2021 Special Focus: Responding to Climate Change as an Emergency
Dear Colleague, On behalf of the organizing committee, we are pleased to share with you the Call for Papers for the Thirteenth International Conference on Climate Change: Impacts & Responses(Online Only), UBC Robson Square, Vancouver, Canada, 8–9 April 2021.
The Climate Change: Impacts & Responses Research Network is brought together by a common concern for the science of, and social responses to, climate change. We seek to build an epistemic community where we can make linkages across disciplinary, geographic, and cultural boundaries. As a Research Network, we are defined by our scope and concerns and motivated to build strategies for action framed by our shared themes and tensions. Online Only in 2021 // Blended 2022 Due to current travel restrictions—and uncertainty on the date these restrictions will end—we have decided to continue with only the online component of the 2021 conference. We are nonetheless excited to announce the online conference will be delivered on the CGScholar platform – developed by the Common Ground Media Lab, the research and technology arm of Common Ground Research Networks. We seek to build for our Research Network Members flexible, and at the same time resilient, spaces for communication, engagement, and participation.
Latest Program 2021 Plenary Speakers The Thirteenth International Conference on Climate Change: Impacts & Responses will feature plenary sessions by some of the world’s leading thinkers and innovators in the field.
Stuart Capstick Deputy Director, Centre for Climate Change and Social Transformations (CAST Centre), Wales
Claire Wordley Research Associate, University of Cambridge, United Kingdom
Dr. Charlie Gardner Lecturer in Conservation Science, Sustainability Lead, Kent University, United Kingdom
View Latest Presenters Lists Ways of Participating As an additional benefit, all “Blended” registration types will be able to present online in 2021 and in-person (and/or) online in 2022. Moreover, vice versa, anyone who registers for 2022 can present in the 2021 online event.