PostDoc – Applied Statistics
The Institute of Marine Research (IMR) in Norway has an immediate opening for a 4 years Post Doctoral position in the cross-disciplinary research group on Fishery Dynamics. The group works within an informal, interactive research atmosphere that provides opportunity for individual growth and advancement. Extensive research collaboration with national and international institutions is expected and encouraged. The post-doc research will be conducted within a multidisciplinary project at IMR that aims to quantify and reduce uncertainty in stock assessments (REDUS).
Through REDUS we aim to develop and implement a generic framework for analysis, estimation and uncertainty evaluation that will support more optimal fisheries management advice and better prioritization of fisheries monitoring and research. The cross disciplinary project team will include 3-4 post-docs that will work closely together and have joint responsibility for spreading information and research findings from REDUS widely through websites and social media (e.g., blogs, twitter, Facebook, Instagram, etc.).
The principal areas of research for the current post-doc position in applied statistics will be in development of survey sampling and estimation methods applied to fisheries-dependent and fisheries-independent monitoring programs, and in particular to quantify the accuracy (bias and precision) of critical input data that supports stock assessments and ecosystem-based management advice in fisheries. Research topics will include developing statistical estimation and modeling techniques to improve estimates of the biological characteristics of catches (landed and discarded catch) and methods for optimizing analyses of large data sets from scientific abundance surveys in support of fisheries management advice.
Desired skills and experience
Candidates must have a PhD or equivalent degree in statistics, applied statistics, quantitative fisheries ecology or a related quantitative field. The successful candidate should have strong quantitative skills and experience in statistical programming in R. Experience using AD Model Builder (ADMB) and/or Template Model Builder (TMB) in R and in the INLA approach to Bayesian inference within R will be valued. Candidates who have an established publication record demonstrating excellent quantitative and modeling skills are particularly encouraged to apply. We look for applicants with experience in statistical analysis of data from complex sampling surveys in the fields of fisheries science or ecology. Experience with hierarchical modeling for analyzing data from ecological systems is also desirable.
Good oral and written communication skills in English are required. A working knowledge of the Norwegian language will be advantageous, but language training will be offered. The ability to work on multiple projects in a multi-disciplinary team setting is necessary.
Please apply electronically following the ”Go to application page” button and attaching a short letter of motivation, the names and contact details of at least two references, your CV with a list of publications, transcripts or other documentation to support your educational claims in statistics/quantitative sciences, and a selection of your most relevant publications.
About the employer
Work place will be in Bergen at employment time. We offer a positive, challenging and creative work environment, the opportunity to work in a national institute with a high level of international contact, flexible working hours, and a wide range of welfare services. The Institute offers a governmentally regulated salary as a Post Doctoral researcher (salary code 1352) and an excellent pension scheme through the Norwegian Public Service Pension Funds, and other welfare benefits (Seehttp://www.spk.no/no/English for more information)
For more information please contact the Head of the Fishery Dynamics Research Group, Jon Helge Vølstad, email: firstname.lastname@example.org, phone: +47 46929039, or Senior Research Scientist Sam Subbey email: email@example.com, phone: +47 46836823. You can also visit our web site at www.imr.no.
IMR is an “Including Working Life Enterprise” concerned with diversity and therefore encourages all qualified candidates to apply. Candidates who have already been awarded a PhD or have submitted their PhD thesis are qualified to apply for this position. Please note that information about applicants may be made public even if an applicant has requested to be exempted from the list of applicants. Applicants will be notified about this in advance.
Postdoctoral Research Associate
Adaptive Management of Federal Investments to Great Lakes Restoration Activities
The Great Lakes Restoration Initiative (GLRI) is a large US Federal program aimed at protecting and restoring the largest system of surface freshwater in the world. Participating federal agencies are committed to implement a science-based “adaptive management framework” to prioritize ecosystem problems to be targeted, select projects to address the problems, and assess the effectiveness of projects that are carried out. The framework describes an iterative process of planning, project implementation, monitoring of restoration effectiveness and ecosystem health,
and prioritization of ecosystem threats. The framework further outlines a general process by which learning feedbacks should be incorporated into future iterations of project selection.
Position Description: We seek a postdoctoral research associate to lead development of an adaptive approach to the selection of restoration project portfolios. The research will draw heavily on principles of decision analysis, in which the valuation of decision outcomes and the building of models to predict those outcomes are co-equal endeavors. The incumbent will work with decision stakeholders from the participating agencies to frame the decision making context, identify restoration priorities, characterize uncertainties in predicting project outcomes, and design systems of monitoring to assess satisfaction of project goals. The incumbent’s work will focus on the western basin of Lake Erie, the pilot geography for this effort. This project will result in protocols and technical tools for the selection of projects, monitoring designs to focus learning feedbacks into decision making, and publications to synthesize the work. The incumbent will work under the direction of Dr. Clint Moore (USGS, Georgia Cooperative Fish and Wildlife Research Unit, http://www.coopunits.org/Georgia/People/Clinton_Moore) and will work closely with other members of the research team, Dr. Peter Esselman (USGS – Great Lakes Science Center) and Dr. Seth Guikema (University of Michigan, http://ioeguikema.engin.umich.edu).
Qualifications: Applicants must hold a Ph.D. in ecology, natural resource management, biometrics, natural resource economics, applied mathematics, statistics, operations research, or related field. Candidates should be able to demonstrate through study, work experience, or publications the application of decision analysis to problems in natural resources management.
Competitive candidates will have one or more of the following qualifications: a background in structured decision making and/or adaptive management, knowledge of ecosystem restoration, skills and experience with stakeholder workshops and facilitation, and facility in modeling, estimation, and optimization. The candidate must have excellent writing and interpersonal communication skills, and he/she must demonstrate commitment to timely completion of deliverables, commitment to publication of results in peer-reviewed outlets, and strong potential to work collaboratively with multiple agencies on a highly visible research topic. Occasional travel to stakeholder meetings and scientific conferences is required. The candidate will be employed by the Georgia Cooperative Fish and Wildlife Research Unit at the University of Georgia and based in Athens GA during part of the year (up to 2 months) or periodically throughout the year (depending on work load). The need for a high degree of contact and face-to-face collaboration with USGS and other partner agencies requires that the candidate work from the USGS – Great Lakes Science Center in Ann Arbor, MI for the remaining 9-10 months of the year. The candidate selected for the position must be able to meet eligibility requirements for work in the United States at the time the appointment is scheduled to begin and continue working legally for the proposed term of the appointment.
Compensation: This is a full-time, fixed-term, non-tenure-track appointment for up to 18 months. Extension of the appointment beyond 12 months is possible depending on funding availability and satisfactory performance of the candidate. Annual salary is competitive and commensurate with education and experience. Benefits include health insurance options and paid leave; a full list of benefits offered by the University of Georgia may be found at
To Apply: Interested candidates should provide in a single PDF document (1) a cover letter that addresses qualifications and skills in the areas of expertise listed above, (2) a current vita, (3) a transcript of PhD work indicating degree award date, and (4) the names and contact information of three references who can attest to the candidate’s qualifications. Send applications and inquiries by email to Dr. Clint Moore, Assistant Unit Leader, Georgia Cooperative Fish and Wildlife Research Unit, firstname.lastname@example.org. Applications will be accepted until a suitable candidate is found.
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Postdoctoral Research Associate Position in Climate Modeling of Land-Atmosphere InteractionsÂ Job # 11679Â
The School of Geographical Sciences and Urban Planning (SGSUP) at Arizona State University (ASU) seeks applications for one non-tenure-track position at the rank of Postdoctoral Research Associate, supervised by Prof. Matei Georgescu. The position, available immediately, is a year-to-year appointment, renewable for up to two years, contingent on performance and availability of funds.Â
The successful candidate will focus on biogeophysical and biogeochemical impacts of energy cropping systems and shall be expected to assume a leadership role in the research, including publication in peer-reviewed journals and presentation of results at national and international meetings. The successful candidate is expected to possess some or all of the following attributes:Â
ï· A Ph.D. in Atmospheric Science, Geography, Remote sensing, or a related geophysical field by time of appointment.Â
ï· Experience using complex numerical codes (e.g., NCARâs Community Earth System Model, Weather Research and Forecasting Model/Noah-MP, Agro-IBIS);Â
ï· Strong computational programming (e.g., Fortran90, C/C++), post-processing (e.g., GrADS, Matlab), UNIX/Linux and HPC systems, and data management skills (e.g., capability to deal with large datasets of diverse formats);Â
ï· Demonstrated verbal and written communication skills (in English) necessary to work in a multidisciplinary team environment, author technical and scientific reports and publications, and deliver scientific presentations.Â
ï· Demonstrated research and publication record in the peer-reviewed literature.Â
ï· Remote sensing proficiency (e.g., use of appropriate software for crop type visualization and mapping through utility of satellite data);Â
SGSUP is highly interdisciplinary, with distinction in human-environment interactions, remote sensing, spatial data analysis, and urban climate. SGSUP boasts four National Academy of Sciences members among its faculty and has strong existing collaborations within ASU through focused research on engineering and energy systems, climate, mathematics, and sustainability. The ASU Tempe campus has approximately 60,000 students and is located in the rapidly growing metropolitan Phoenix area, which provides a wide variety of recreational and cultural opportunities and is especially desirable for outdoor enthusiasts who enjoy biking, hiking, skiing, and other activities in the exquisite Arizona canyon lands and rugged terrain.Â
To apply, please submit the following as a single PDF document:Â
ï· A Statement of Interest (not to exceed 2 double-spaced pages) that explains the candidateâs interest in, and fit with, the position;Â
ï· A complete Curriculum Vitae including a list of publications and the names/email address/phone numbers of three references;Â
ï· Three letters of recommendationÂ
A single PDF file with all required materials must be submitted to sgsup.jobs with âGeorgescu PostDocâ as the subject line text. Further inquiries should be made to Prof. Matei Georgescu (Matei.Georgescu)Â
The initial review of applications will begin September 6th, 2016; if not filled, applications will be reviewed every two weeks thereafter until the search is closed. A background check is required for employment.Â
Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law. https://www.asu.edu/aad/manuals/acd/acd401.html. https://www.asu.edu/titleIXÂ
AssociateÂ Professor andÂ Associate Director for Research Based Graduate ProgramsÂ
School of Geographical Sciences and Urban Planning
Senior Sustainability Scientist, Global Institute of Sustainability
Honors Faculty, The Honors College at Arizona State University
Arizona State University
Associate Editor:Â Journal of Geophysical Research-Atmospheres
Impact Factor: 3.32 (Journal Citation Reports)Â
Telephone:Â (480) 727 5986.Â Â Web:Â
Office: COOR 5578, Arizona State University, P.O. Box 875302 Tempe, AZ 85287-5302
NOAA/GFDL is pleased to announce an opening for a full-time, permanent, institutionally supported (hard money) position for an oceanographer at the ZP-3/ZP-4 level, to conduct research into the ocean’s role in the climate system, using a combination of simulations with global ocean-climate models and analysis of observational ocean data sets.
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U.S. citizens with a Ph.D. or equivalent experience in physical oceanography or a closely related field, and a demonstrated ability to conduct and publish independent research into ocean-climate dynamics are encouraged to apply.
The successful applicant will be expected to provide significant direction for his or her specific research activities; the broad duties of this position include:
- Design, collect, compile, process, analyze and interpret oceanographic data from studies and research using GFDL’s realistic global ocean and coupled climate models to determine the effect of the ocean on the climate.
- Document and interpret the causes of observed large-scale trends and fluctuations in oceanic properties on inter-annual and longer timescales.
- Conduct theoretical and experimental research to develop numerical models of the Earth’s physical, chemical, and biological processes and their interactions to form comprehensive models of the Earth system in order to understand past and present climates and to predict future climate.
- Identify key oceanographic processes for inclusion or improvement in ocean-climate models.
- Provide leadership in collective efforts to evaluate the physical fidelity of ocean-climate models and improve their ability to make skillful climate projections, particularly with regard to sea-level rise, oceanic heat and carbon uptake.
It is expected that a successful applicant will have previous experience with:
- Conducting experiments with or analyzing output from large-scale oceanographic, realistic global ocean and coupled climate models to improve knowledge of the climate system and provide information that will assist coastal communities in adapting to climate change and increasing the scientific value of in oceanographic observations, such as those from the Array for Real-Time Geostrophic Oceanography (ARGO) and repeat hydrography.
- Documenting and interpreting the causes of observed large-scale trends and fluctuations in oceanic properties on various timescales.
- Identifying key oceanographic processes for inclusion or improvement in ocean-climate models and assisting in improvement of ocean-climate models in order to make skillful climate projections for sea-level rise, oceanic heat or carbon uptake.
and at the more senior ZP-4 level:
- Providing guidance in long-term monitoring system design and mentoring scientists in addressing questions about the ocean’s role in a changing climate.
Please note that this job opening will close at 11:59 pm Eastern Time on September 24, 2016. The link to the job opening, along with instructions on how to apply, can be found at:
Professor Roland H. Lamberson
Emeritus Professor of Mathematics
Humboldt State University
Arcata, CA 95521
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