Postdoctoral position in Population Ecology – REDUCE
Offer DescriptionREDUCE will unify stakeholder efforts and utilize an interdisciplinary scientific approach to reduce bycatch of marine megafauna and inform sustainable fishery management in the Eastern Central Atlantic Ocean.The diagnosis and integration of bycatch data across all industrial European fleets in the region, linked with fishing effort and the spatiotemporal distribution of the species, will provide a systematic approach to jointly assess and tackle policy challenges. The expansion and improvement of the observer programmes and the advances in electronic monitoring and automated machine learning systems will enable species-specific and high-resolution data of marine megafauna bycatch. Fine-scale GPS tracking of selected species combined with AIS fishery data in concurrent time will allow understanding key drivers of interactions and infer political responsibilities. New fine-scale tracking data of carefully selected species in the region will allow for a better understanding of their abundance and distribution and post-release mortality. Sightings, fishery catches and tracking data on marine megafauna will be combined to provide a step-changes in predictive habitat mapping approaches to understand overlap and bycatch risk from local to basin-scales. The combination of timeseries of sightings, fishery catches, GPS and GLS tracking and capture-mark-recapture studies, will provide an unprecedented view on megafauna hotspots and the risks and impacts of bycatch, boosting marine spatial planning or pelagic waters. Assessment and testing of mitigation measures will identify key approaches to significantly reduce bycatch in the region. Innovative and efficient data handling, sharing and publishing will establish an integrated approach to the bycatch data community. Capacity and cooperation between science, fishery industry and policymakers bordering Eastern Central Atlantic Ocean will be boosted by joint multi-disciplinary workshops, scientific training and monitoring events.A Population Ecology Data Science position is offered at University of Barcelona. The Population Ecology Data Scientist will focus on the impact of fishing activities on the demography of seabirds in the East Central Atlantic.Concretely, the Data Scientist and Data Manager will have the following responsibilities:
Perform additional tasks as directed by the Project Coordinator, supporting the overall objectives of the REDUCE project.
Gross salary per year: 28.000 €.Where to apply WebsiteRequirementsResearch Field Biological sciences Education Level PhD or equivalentSkills/QualificationsSpecific Requirements
Languages ENGLISH Level ExcellentLanguages FRENCH Level ExcellentLanguages SPANISH Level BasicResearch Field Biological sciences Years of Research Experience 4 – 10Additional InformationEligibility criteria
The minimum score to pass the selection process is 50/100 points.Additional commentsDuration of the contract of employment: 12 months, renewable up to 31/12/2027.The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.For additional information regards this offer, please, contact Dr. Jacob González-Solís:Work Location(s)Number of offers available 1 Company/Institute Universitat de Barcelona Country Spain State/Province Barcelona City Barcelona Postal Code 08028 Street Diagonal, 643 GeofieldContact State/ProvinceBarcelona CityBarcelona WebsiteStreetGran Via de les Corts Catalanes, 585 Postal Code08007 E-Mailjgsolis@ub.eduSTATUS: EXPIREDShare this page
€28000 per year
Barcelona
Sat, 09 Nov 2024 05:38:09 GMT
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