Two PhD Positions within the PhD Programme “Environmental and Resource Management” at University Cottbus. The work is part of the Research Cluster “Mulitfunctional Landscapes under Climate Change”. Application Deadline is 01 August, 2021 and the Start of the Programme is 01 April, 2022.
Research Lead – Fisheries Sustainability
The Minderoo Foundation Perth CBD Western Australia,
[Posted 15d ago]
Minderoo Foundation is a modern philanthropic organisation. We take on tough, persistent issues with the potential to drive massive change. We incubate ideas and accelerate impact. We push the limits of what is believed possible. Minderoo Foundation is independent, forward thinking and seeks effective, scalable solutions. We are proudly Australian, and one of Asia’s largest philanthropies, with AUD $2 billion committed to a range of global initiatives. Our team comprises over 100 employees across seven locations.
Flourishing Oceans aims to transition our oceans to a healthy, thriving state. A flourishing ocean is one that can withstand a changing climate and increasing human pressure, is resilient, and free from pollution with healthy ecosystems and marine populations. As human pressure increases and the state of our ocean continues to decline, dramatic steps are required to protect and conserve this resource.
To facilitate this, we are committed to ending overfishing, promoting biodiversity conservation, eliminating the harmful effects of plastics, and facilitating world class research and education.
About the role
Based in Perth, the position leads the design and execution of impactful research into the state of marine fish stocks globally, working expand our understanding of current conditions and trends, with a focus on data-limited fisheries.
Your key responsibilities will include:
- Oversee the development and implementation of an innovative method for collecting and assessing fisheries data in 100+ maritime countries as part of Minderoo’s Global Fishing Index.
- Ensure that all data are complete, consistent, high quality and fit-for purpose.
- Lead the interpretation and presentation of fisheries sustainability results within the Global Fishing Index and related outputs.
- With the broader research team, explore and interpret sustainability results in relation to fisheries governance, socioeconomic, and environmental context.
- Inform the development of a strategy and messaging for communicating research results to a range of audiences.
To be considered for this position you MUST HAVE:
- Postgraduate degree in fisheries science or natural resource management
- Technical expertise in fisheries or natural resource assessment or management, particularly the application of data-limited approaches
- Demonstrated quantitative analytical skills and ability to work confidently with complex data sets.
- Familiarity with machine learning and Bayesian statistical approaches
- Excellent communication skills, and ability to translate technical details for diverse audiences.
Of vital importance is that you will be a solutions-oriented and self-motivated individual who is a daring leader, takes initiative, and has a passion for the ocean and living our values.
Are you resilient enough to bounce back up, dust yourself off and go again with enthusiasm and a never, ever give up attitude after being knocked back or pushed down?
Are you really up for the challenge?
Please attach your resume and a cover letter explaining why you are up for the challenge!
Please Note: Applications close on 30/5/2021
Tattarang and Minderoo Foundation embraces Equal Opportunity and promotes diversity. We actively encourage Aboriginal & Torres Strait Islanders, people of all backgrounds, ages, sexual orientation, and those with Disability to apply.
The International Society for Ecological Modelling Global Conference 2022: Ecological Models for Tomorrow’s Solutions
3-7 May 2022 | University of Toronto, Scarborough, Canada
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.
- Submit abstract
- Submit symposium proposal
- Plenary Speakers
- Conference deadlines
- Best Early Career Researcher Award
- Conference app
- Supporting publication
- Conference History
- Sign up for conference news
- Contact us
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.
Abstracts are now invited on the following topics and symposiums. They should be submitted using the online abstract submission system.
Abstract Submission Deadline: 12 November 2021
- Dynamic ecosystem models
- Uncertainty analysis
- Ensemble modelling
- Data assimilation and optimization techniques
- Machine learning and (big) data
- Model integration, metamodels
- Individual-based modelling
- Software and tools
- Bioenergetics: Dynamic energy budget models
- Network modelling
- Models of socio-ecological systems
- Models of global, climate and land-use change
- Sustainability and resilience
- Ecosystem services
- Biodiversity and conservation
- Community models
- Marine ecology and fisheries
- Freshwaters (lakes and rivers)
- Models of epidemics
Conference hashtag #ISEM22
Organised in association with
- Applications of a SWAT model to evaluate the contribution of the Tafna catchment (north-west Africa) to the nitrate load entering the Mediterranean Sea
- Prototype of a predictive Pyrodinium bahamense monitoring system for Eastern Visayas Philippines
- Zoning criteria of Samar Island Natural Park (SINP): a GIS-aided protected area zoning
- Assessment of the factors affecting the existence of wetlands: The case of Cheleleka wetlands, Sidama Region, Ethiopia
- Modelling approaches for the biomonitoring and assessment of environmental stress
- Review of prediction models application in surface water quality
- Measuring the resilience of exploitation systems from agricultural water based on good governance principles
- Investigating the effects of urban expansion on the conservation of coastal vegetation environments: Case of Buffalo City Metropolitan Municipality, South Africa
- Novelty predictors for shrub (and climbers) ecological niche modelling, based on their succession stage
- Future of process-based ecological models for lakes
- Ecological and environmental impacts modeling in renewable energy utilization
- Networks: A symposium on (socio-)ecological connectivity
- Analyzing policies that support a sustainable, shared-prosperity economy across 50 countries
- Model of socio-ecological system including questions of poverty, inequality, ethics and justice in the societies of low income countries
- Climate change effects on shrimp’s distribution of commercial importance in the Gulf of California
- Population invasion, dispersal and assessment under stressful environmental conditions
- Emergence and stability of mutualistic interactions
- Machine learning for wildlife ecological conservation
- Dynamic biogeographic models– forecasting the effects of global changes for biodiversity conservation and environmental management
- Watershed ecosystems services modeling for assessment, management, and economic valuation
- Formalize description of regional sustainable development – theoretical basis
- Multispecies models informing management of aquatic systems
- Modelling and forecasting the impacts of climate change on host-parasite dynamics and disease
- Determination and comparison of urban heat islands with landsat data analysis and urban cooling model, case study of Edirne District
- Modeling human impacts for ecosystem-based management
- Modelling approaches to support social-ecological system interactions in a changing environment
- The succession rate of phytoplanktonin the power plant cooling-reservoir in Siberia
Announcement of Postdoctoral Research Opportunity
May 8, 2021
Pacific hake trophic modeling
The University of Washington, in collaboration with the Northwest Fisheries Science Center (NWFSC), seeks a postdoctoral scholar in fisheries science. The postdoctoral scholar will collaborate with researchers from the NWFSC’s Fisheries Resource Analysis and Monitoring Division (FRAM) and the Conservation Biology (CB) Divisions, to develop and implement a CEATTLE (Climate-Enhanced, Age-based model with Temperature-specific Trophic Linkages and Energetics) ecosystem model for Pacific hake and krill in the California Current Ecosystem. Investigating the relationships between hake trophic interactions and population dynamics is an important research need for stock assessment and ecosystem-based management, and this postdoctoral project will contribute to a better understanding of the role of Pacific hake in the California Current Ecosystem.
The main responsibility of the postdoctoral scholar will be to quantify the relationship of hake consumption to prey availability, including specific prey items such as small hake and krill, to more accurately assess hake growth, mortality, and recruitment to inform models for stock assessment. This will be accomplished by developing a CEATTLE (Climate-Enhanced, Age-based model with Temperature-specific Trophic Linkages and Energetics) ecosystem model with newly available hake diet data. The postdoctoral scholar will also be responsible for writing one to two scientific papers documenting the hake CEATTLE model and the influence of hake cannibalism on its population dynamics. If time and funds permit, the postdoctoral scholar may increase the model complexity by adding more predator and prey species or/and integrate the results of the CEATTLE model with the models currently used for hake stock assessment and management strategy evaluation.
The anticipated start date is May 25, 2021, but this is negotiable. The initial appointment is for 1 year, with reappointment possible pending performance review and funding availability. Applications should be submitted by May 18, 2021, but the position will remain open until filled. The post-doc will be supervised by Dr. André Punt (University of Washington) and will primarily collaborate with Drs. Melissa Haltuch, Kristin Marshall, Isaac Kaplan, Elizabeth Phillips (Northwest Fisheries Science Center) and Kirstin Holsman (Alaska Fisheries Science Center).
QUALIFICATIONS: Earned Ph.D. in Fisheries Science, Quantitative Ecology, Applied Statistics or a related field; experience or training in fish population dynamics, modelling structured populations, bioenergetics, multispecies, or ecosystem models, and simulation experiments; proficiency in programming languages such as R, and/or related applications such as AD Model Builder, Template Model Builder and Stock Synthesis; ability to work in a collaborative environment.
LOCATION: Seattle, WA (telework initially)
TO APPLY: Submit your application through Interfolio (https://apply.interfolio.com/86782) with the following: (1) A letter of interest detailing your skills and experience. (2) A curriculum-vitae including publications. (3) Three letters of recommendation.
Two positions in Australia
- A Research Scientist – Hydrologist position at CSIRO Land and Water in Canberra.
- A PhD opportunity at the University of Queensland
CSIRO Land and Water Research Scientist
CSIRO Land and Water is seeking a motivated Research Scientist – Hydrologist to join the Water Security Program. To be successful, you will need experience in hydrological process modelling, river system modelling and remote sensing applications in hydrology and experience in programming and working with large data sets. To apply, please go to https://jobs.csiro.au/job/Canberra%2C-ACT-Research-Scientist-Hydrologist/731619200/?locale=en_GB
PhD project at the University of Queensland
The Spatial Epidemiology Laboratory at the University of Queensland, Australia seeks a PhD student to work on an exciting new project: forecasting ecosystem responses to environmental change
There is a growing consensus that using models to anticipate the future is vital to mitigate the impacts of environmental change on ecosystems. Yet most ecological models are one-off attempts to predict what ecosystems might be like in many years or decades. This makes it hard for decision-makers to use these models. It also favours models that are not easily scrutinised and improved. A new international study will use an iterative cycle to 1) forecast how species occurrences and abundances will change over short timescales; 2) use predictions to inspect model failures and 3) improve models so that we can continue to learn. This represents a new way of thinking in ecology that, like weather forecasting, has the power to advance our understanding of ecological processes.
The PhD project
The candidate will work within a vibrant team of quantitative ecologists and spatio-temporal modellers to tackle two major questions in ecological modelling:
(1) When can multivariate models improve forecasts of species distributions, abundances and biodiversity compared to simpler models?
(2) What aspects of models and data control forecast uncertainty across space and time?
Benefits of the project
The student will be based at The University of Queensland within the School of Veterinary Science, supervised by Dr. Nicholas Clark and A/Prof Ricardo Soares Magalhães. The candidate will work with a diverse group of international researchers, including Dr Konstans Wells (Swansea University, UK), Prof Ethan White (University of Florida, USA) and A/Prof Wenbiao Hu (Queensland University of Technology). Additional support will be given by partners at the Ecological Forecasting Initiative and the Spatial Epidemiology Laboratory, including assistance in computer-based data analysis, model building and scientific communication. The selected student will have the opportunity to work with all partners on this project but will be based at UQ.
This project will help develop the candidate’s skills in critical thinking, project management, data management and analysis, writing and communication. Expected applications of the project are incredibly diverse, meaning the student will be well prepared for a future career in research or with government and non-government land management, biosecurity or conservation agencies.
This PhD scholarship is funded by the University of Queensland, providing a tax-free PhD stipend and full tuition fee support. The scholarship is for three years, with two possible six-month extensions. Funds are also available for the student to attend scientific conferences and workshops.
Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.
Competitive applicants should have
-A BSc with First Class Honours or Masters degree in ecology or statistics
-A strong interest in ecological modelling, time series analysis or conservation science
-Excellent time and data management and interpersonal skills
-Evidence of well-developed verbal and written communication skills
-Publication record in international peer-reviewed journals
-Experience with stochastic data simulation and analysis
-Knowledge of script-based statistical languages such as R or Python
How to enquire
For more information and to submit an expression of interest, please contact Dr. Nicholas Clark at firstname.lastname@example.org. The expression of interest should include a cover letter and CV including names and contact details of 3 referees (2 pages max) and an academic transcript. Short-list applicants will be interviewed (via video conferencing if necessary) to better determine the applicant’s fit, motivations and capabilities.
With current travel bans extending the timeframe for international applicants to commence, UQ will only accept on-shore (domestic and international students residing in Australia) applicants for this scholarship. If the commencing candidate is onshore but interstate, they will be required to come to Queensland to begin.
Expressions of interest will close 14th June 2021
The Marine Science Institute at the University of California Santa Barbara seeks a highly-motivated postdoctoral research associate. The position will focus on quantitative modeling of kelp forest dynamics to inform kelp restoration in the state of California.
The postdoctoral research associate will be based in Santa Barbara, California but remote work is possible while COVID-related shutdowns remain in place. The position will work on a recently funded project that seeks to inform kelp restoration across the state of California. Utilizing extensive data (kelp forest surveys, oceanographic and benthic habitat) available from diverse sources across the state, the Postdoc will build statistical models to identify key ecological, oceanographic and management drivers of kelp (Macrocystis pyrifera and Nereocystis leutkeana) persistence or recovery at the scales of the entire state. Modeling will include but not be limited to generalized linear models, generalized additive models, and may include Bayesian approaches or machine learning. The candidate will also have experience with species distribution modeling. The region-specific, species-specific results from the modeling will serve to highlight places, times and techniques that stand the best chance of success for kelp restoration in California. The Postdoc will lead the development of a written and graphical restoration guide for use by managers, restoration practitioners, and funders. A background in coastal marine ecology is beneficial but not necessary.
Basic Qualifications: Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation in ecology, marine biology, applied statistics, ecological modeling, or closely related discipline at time of application.
Additional Qualifications: PhD (or equivalent) in ecology, marine biology, applied statistics, ecological modeling, or closely related discipline by the time of appointment.
Preferred Qualifications: Ideal candidates will have advanced skills in data analysis, statistics, scientific coding/programming, and other quantitative methods. Experience with statistical analysis of spatial and temporal data (e.g. generalized linear models, generalized additive models, Bayesian approaches, machine learning), and species distribution modeling. Coding experience in R or equivalent programming language. Familiarity with spatial or geographic analyses. Demonstrated strong writing skills are required. Excellent verbal and written communication skills. A track record of talks and peer-reviewed publications appropriate to career stage. Familiarity with code repositories such as Github. Strong interpersonal skills to build and maintain strong relationships with academic, NGO and government partners, and to work effectively as part of a highly collaborative research team.
The position start date is as soon as possible. This is a two year position. Start date is flexible and ideally no later than August 30, 2021. Salary is competitive, commensurate with the applicant’s qualifications. Postdoctoral benefits are included (https://clients.garnett-powers.com/pd/uc/plans_benefits).
Applicants should submit a CV, a short (1-2 page) statement of research experience and interests related to the project, PDF copies of up to two relevant publications (optional) preferably those that demonstrate statistical modelling examples, and the names, affiliations, and email addresses of three references to:
For primary consideration apply by April 30, 2021
Position will remain open until filled.
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service as appropriate to this position.
The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
- A PhD in Water, energy and food nexus modelling and decision-making across scales at Politecnico di Milano, Italy
- A Postdoctoral Fellowship in AI-enhanced climate services at the European Commission Joint Research Centre, Italy
PhD position at Politecnico di Milano
The Environmental Intelligence for Global Change Lab at Politecnico di Milano invites applications for 1 PhD position (36 months) on “Water, energy and food nexus modelling and decision-making across scales.”
The research will focus on:
– Integrating Impact Assessment Models (e.g. GCAM, RICE) and river basin operational model in complex transboundary contexts.
– Developing a robust decision-analytic making framework to assess the local impact of global policies.
– Analysing potential policy feedbacks across scales.
Qualifications for this position include a M.Sc. in water resources engineering, or a related field of environmental engineering. Alternatively, candidates with a background in computer and/or automation engineering, artificial intelligence, applied mathematics or related fields are also encouraged to apply. Strong numerical and computational skills are required as well as English language skills both in oral and written communication.
This post is part of the EU PRIMA project AWESOME “Managing Water, Ecosystems and Food across sectors and scales in the South Mediterranean.”
The application package must include CV, list of publications, and the name of two references. Deadline for the package submission: 15 April 2021.
The application and any informal enquiries must be sent to email@example.com
Postdoc position at European Joint research Centre, Italy
There is an interesting opportunity to join my about to start JRC project on AI-enhanced climate services. The available post-doc position is at JRC Ispra (Italy) for 2 years.
If you know anybody interested please share this information.
To get more details and to apply: https://recruitment.jrc.ec.europa.eu/?site=IPR
Code: 2021-IPR-A5001-FGIV-016650 – ISPRA
FG IV – SCIENTIST – EXPLORATORY RESEARCH PROJECT – AI-enhanced Agro-Climate Service (AIACS)
Deadline: 14 April
Andrea Toreti, PhD
Joint Research Centre
Professor Roland H. Lamberson
Emeritus Professor of Mathematics
Humboldt State University
Arcata, CA 95521
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