2019 (Page 3)

Assistant Professor of Oceanography with expertise in Ecosystem Modeling

CDD niveau IR pour 12 mois au sein de l’U3E INRA Rennes (https://www6.rennes.inra.fr/u3e) et du Pôle AFB Gestion des POissons Migrateurs dans leur Environnement (https://www6.rennes.inra.fr/u3e/PRESENTATION/Organisation/Pole-Poissons-migrateurs).

L’objectif est d’assurer le traitement des données de pêches électriques acquises en Guyane Française. Le jeu de données consiste pour un grand nombre d’espèce et parfois en petit nombre en un premier passage par EPA puis 3 passages par pêche complète sur plusieurs secteurs. L’objectif est de définir le nombre de points minimum à échantillonner et de proposer un protocole de suivi de la faune piscicole réalisable sur le terrain et des préconisations de réglage du matériel de pêche à l’électricité pour les masses d’eau de très faibles conductivité. L’agent aura également en charge la rédaction d’un rapport de synthèse

https://www.hw.ac.uk/about/work/jobs/job_SVJDMjQxMzA.htm

One postdoc will develop larval particle tracking models for two marine invasive species of relevance to Ireland  (23 months duration).
The other postdoc will be a marine ecologist looking at the marine invasive species impact of ecosystem services in Ireland.
Details can be found at https://www.ucd.ie/ecomodel/ias.html
Deadline for both posts is 22nd Oct.

The Cooperative Research Branch at the Northeast Fisheries Science Center is recruiting a postdoctoral quantitative fisheries scientist to work on an industry-science collaboration investigating the processes controlling the dynamics of the shortfin squid populationand fishery and possible consequences for applied fisheries cience and management.
See position description/announcement here: https://jobs.intstats.com/JobDetails.jsp?jobListingId=231 .
Applications are due September 27th. 

Plus d’infos

Location:Department of Wildlife Ecology and Conservation (WEC), University of Florida, Gainesville, Florida.
 
Position Description: We are seeking a graduate student to work on coastal marine ecosystem restoration projects (starting Spring semester 2020). The student would join a team of scientists from the University of Florida (WEC, Nature Coast Biological Station, https://ncbs.ifas.ufl.edu/, and the School of Natural Resources and Environment) and US Geological Survey (Wetland and Aquatic Research Center, St Petersburg Coastal and Marine Science Center and Southeast Climate Adaptation Science Center) who are working on a project to provide decision support to managers (e.g., US Fish and Wildlife Service) for coastal marine ecosystem restoration, characterized by complex dynamics that interact among multiple system processes, and for which stakeholder values and benefits are not always explicitly identified. The team will be using two ongoing restoration projects at Lone Cabbage Oyster Reef (LCOR,
https://lcroysterproject.github.io/oysterproject/) and Lower Suwannee National Wildlife Refuge (LSNWR) as primary case studies, working with managers to carefully frame their decision contexts. They will synthesize information across these projects and develop analytic tools to inform restoration activities that best achieve management objectives, while recognizing risk. These projects are being implemented in adjacent, integrated coastal habitats, and both focus on maintaining productive estuarine conditions within Suwannee Sound, through restoration of freshwater hydrologic sheet flow across LSNWR, and of the LCOR oyster reef network, which acts as a “leaky dam” retaining these flows. The main products of this work will be:
• Formal analysis that predicts the expected value (in units of ecosystem services such as fishing opportunities) of restoration investments, considering costs and risk, conditional on future uncertainty and budget constraints.
• Decision support tools developed in collaboration with managers to identify areas to prioritize for restoration and to evaluate consequences of alternative management scenarios on ecosystem services (e.g., fisheries, coastal protection from erosion).

The student will focus on the development of ecological models and decision analysis. Our team includes experts in ecology, fisheries, food web modeling, statistics and decision analysis, thus it would be a great learning opportunity for an ambitious student.
 
Qualifications: Applicants must hold a MSc degree (or a combination of education and experience equivalent to a MSc degree) in ecology, fisheries, natural resource management, oceanography, biometrics, natural resource economics, applied mathematics, statistics, operations research, or related field. Experience with programs such as R or Matlab is desirable. The best qualified applicants will also have good reasoning and analytical skills, some familiarity with ecological systems, demonstrable communication skills, and the ability to function well both on their own and in teams. The selected candidate must be able to meet eligibility requirements for work in the United States at the time appointment is scheduled to begin and continue working legally for the proposed term of the appointment.

Stipend and benefits: The student will receive a competitive stipend, tuition, and health insurance package.
 
How to apply: Applicants should submit a cover letter, resume (or curriculum vitae), copy of transcripts, and the contact information of three professional references to Dr. Bill Pine at oysterproject@ifas.ufl.edu. Consideration of applications will begin September 20, 2019 and will continue until the position is filled.

You may submit an unofficial copy of the transcripts; however, if you are selected, you will be required to provide official transcripts to the hiring department upon hire.

The candidate will participate in the development of a real-time forecasting system for Southern Resident killer whales (SRKW).
Specifically, the candidate will develop a statistical framework to estimate and probabilistically predict the locations and trajectories of the 76 endangered Southern Resident Killer Whales (SRKW) in the busy international waters of the Salish Sea. The goals are to better understand their ecology and habitat utilization, and protect them from anthropogenic disturbances such as shipping noise and collisions with ships. This post-doctoral project will require methodological development to make use of multiple data sources pertaining to SRKW and their oceanic environment, each with their own resolution and precision.  Up to 3 years of funding is available.

Academic team:
Ruth Joy <http://www.sfu.ca/~rjoy/> (SFU), Mike Dowd
<https://www.mathstat.dal.ca/~mdowd/> (Dalhousie), Dave Campbell
<http://people.stat.sfu.ca/~dac5/Dave_Campbell/Dave_Campbell.html>(SFU/Carleton)

Location:
Burnaby BC, initially with some flexibility after the first year.

Project Abstract:
As only 76 Southern Resident Killer Whales remain, this endangered population cannot risk any injuries or mortalities from ships that transit through their habitat. These whales are present year-round in BC waters, spending significant time foraging in the Salish Sea in the summer. Much of their critical habitat overlaps with shipping lanes connecting the Pacific Ocean with ports in southern British Columbia and Washington State.  If operators of transiting ships were aware in real-time of the location and probability of whales moving into or towards their path, a significant proportion of that risk could be removed if ships reduced their speed or adjusted their path.

Using multiple data sources of varying quality and resolution (existing acoustic hydrophone nodes, observer data, and environmental variables), this project aims to develop the capability of an advanced warning system to reduce the risk of lethal and sub-lethal ship collisions for this endangered population.  The post-doc will work on developing the methodological framework for a real time stochastic movement forecast model to estimate and predict real-time whale pod locations, with an emphasis on the acquisition, processing, synthesis, fusion and analysis of diverse data types.

Job Summary and Duties:
The Junior Researcher will contribute for the development and execution of BECORV project. The tasks involved are:
a) Acoustic and/or satellite telemetry data analysis, using R and eventually GIS.
b) To participate in the project dissemination namely writing scientific papers, presentations and reports.
c) Collaborate in the supervision of MSc. and Doctoral students.

https://www.ccmar.ualg.pt/en/job/ccmarid062019-1-vacancy-junior-researcher-mf

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