[ECOLOG-L] FISHERIES ECOSYSTEMS SCIENTIST (Permanent Position)
Centre for Fisheries Ecosystems Research (CFER) Fisheries and Marine Institute of Memorial University of Newfoundland FISHERIES ECOSYSTEMS SCIENTIST (Permanent Position) CFER is in an exciting period of expansion and invites applications for a Fisheries Scientist position. Requirements for this position include a Ph.D. in fisheries science, marine ecology, biological oceanography or a closely related discipline with related experience in the North Atlantic or similar fisheries ecosystems. A strong quantitative background and experience in ecosystem modeling, stock assessment, fieldwork and next-gen marine science technology will all be considered assets. Applicants should have the ability to develop an internationally recognized and self-directed research program and team focusing on Northwest Atlantic fisheries ecosystems, excellent communication skills, and a strong commitment to supervise graduate students. The ability to work collaboratively with industry, fish harvesters, academic colleagues, and government agencies is also important. In order to achieve these goals, the successful applicant is expected to develop a dynamic, grant supported research program that compliments and extends existing CFER capabilities. This position may be eligible for research funding for graduate students and Post-Doctoral Fellows (PDFs) through the Ocean Frontier Institute (OFI) initiative (http://oceanfrontierinstitute.com/) and will also be eligible to lead and partner with research initiatives under the recently announced Canada's Ocean Supercluster (https://oceansupercluster.ca/) and the Atlantic Fisheries Fund (http://atlanticfisheriesfund.ca). CFER was created in 2010 with a mandate to conduct research on fisheries science of the North Atlantic, the Canadian Arctic and other similar ecosystems internationally. CFER has built a dynamic team of research scientists and technical personnel with varying specialties and is now the largest university-based capture fisheries research group in Canada. Graduate students and PDFs play a key role in CFER research. Please go to www.mi.mun.ca/cfer for additional information. CFER is part of the Fisheries and Marine Institute of Memorial University which is Canada's most comprehensive centre for education, training, applied research and industrial support for the ocean industries. Memorial is a dynamic university with teaching and research programs of international distinction. The University has more than 18,500 undergraduate and graduate students supported by 1,100 faculty members and a staff of over 2,500 employees. St. John's is a family friendly vibrant city, with mild winters and comfortable summers, with a rich culture and history and provides the best of outdoor lifestyles and activities along with city living. Please visit www.newfoundlandlabrador.com for more information. SALARY: Commensurate with Marine Institute's Instructors' Collective Agreement (NAPE Local 7405) CLOSING DATE: February 1, 2019 COMPETITION NO: MISI-18-23 To apply for this position, please click the "APPLY ONLINE" button at the bottom of this page. Applications must be received by the end of the business day on the competition closing date. For further information concerning this opportunity, email us at humanresour...@mi.mun.ca, or contact the Human Resources Office, Marine Institute, Room E3306C, phone (709) 778-0440, fax (709) 778-0673. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. Memorial University is strongly committed to employment equity and especially welcomes applications from all qualified candidates, including women, members of visible minorities, Aboriginal persons, members of sexual minorities and persons with disabilities. We thank all applicants for their interest; however, only those selected for an interview will be contacted.
[ECOLOG-L] Funded MSc and PhD positions in Quantitative Fisheries Ecosystem Research – Memorial University of Newfoundland, Canada
Funded MSc and PhD positions in Quantitative Fisheries Ecosystem Research – Memorial University of Newfoundland, Canada There are several funded MSc and PhD positions available starting in the fall semester 2019 at the Quantitative Fisheries Ecosystems Lab (QFEL) at the Center for Fisheries Ecosystems Research (CFER) at the Marine Institute, Memorial University of Newfoundland, Canada. We work with the fishing industry and government partners on research to support sustainable fisheries in the Northwest Atlantic. More information is available at: https://www.mi.mun.ca/departments/centreforfisheriesecosystemsresearch/ocichair/ CFER continues to expand and students will join a dynamic research and training environment. The student is encouraged to develop their own projects within the broad scope of our funded research program. The student will be part of the Marine Institute’s graduate program in fish stock assessment (https://www.mi.mun.ca/programsandcourses/programs/fisheriessciencestockassessmentmasterofsciencemscdegree/) and will receive state-of-the-art training in modelling marine fish productivity contributing to improved fish stock assessment models. This will include advanced training in estimation of spatial and state-space ecological models. Career opportunities for graduates are excellent. Desirable candidates will have strong scientific credentials in ecology, fishery science, statistics or another relevant field. Preference will be given to applicants 1) with demonstrated expertise in quantitative skills in ecology or stock assessment 2) who can code efficiently in R or other programming languages, and 3) who have a publication record (PhD students). Funding is guaranteed for the entire length of the master (2 years) and PhD program (4 years) and fully covers tuition and living expenses. To apply for this position: send a current curriculum vitae and letter of interest/career goals, unofficial transcripts of all college course work, and the names and contact information for two professional references to: Dr. Noel Cadigan (noel.cadi...@mi.mun.ca), Dr. Jin Gao (jin@mi.mun.ca), Dr. Fan Zhang (fan.zh...@mi.mun.ca). Please contact Drs. Cadigan, Gao and Zhang directly with any questions about these positions. Review of applicants will begin immediately and continue until suitable candidates are identified.
[ECOLOG-L] PhD position – combining fishery surveys for North Atlantic groundfish- Memorial Univ of Newfoundland, Canada
One PhD position: combining research surveys for North Atlantic groundfish assessment Successful fisheries management depends on reliable stock assessments. The project primarily involves statistical analysis of research surveys conducted over different regions and by different countries for a few groundfish species in the North Atlantic region. The student is encouraged to develop their own projects from this starting project. The student will be part of the Centre for Ecosystems and Fisheries Research at the Marine Institute’s School of Fisheries PhD Program at the Memorial University of Newfoundland. Desirable candidates will have some familiarity with strong scientific credentials in ecology, fishery science, statistics or another relevant field. Preference will be given to applicants 1) with demonstrated expertise in quantitative skills in ecology or stock assessment 2) who can code efficiently in R or other programming languages 3) who have a publication record. The position comprises a graduate assistantship and tuition scholarship. It is available to begin in the fall semester 2018. Funding is guaranteed for the entire length of the program (4 years). Applicants with a relevant master’s degree are required. To apply for this position: send a current curriculum vitae and letter of interest/career goals, unofficial transcripts of all college course work, and the names and contact information for two professional references to: Dr. Jin Gao (jin@mi.mun.ca). Please contact Dr. Gao directly with any questions about this position. Review of applicants will begin immediately and continue until a suitable candidate is identified.
