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: email@example.com, phone: +47 46929039, or Senior Research Scientist Sam Subbey email: firstname.lastname@example.org, 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.