Postdoctoral position in Data Scientist and Data Manager in REDUCE

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Postdoctoral position in Data Scientist and Data Manager in REDUCE

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Job description

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 Data Scientists and Data Management position to analyse large data sets and coordinate the data management activities of the Horizon Europe REDUCE project is offered at University of Barcelona. The Data Manager will analyse large data sets on animal tracking, vessel tracking systems and environmental variables, and will ensure that data generated, processed, and shared throughout the project’s lifecycle is handled efficiently and in compliance with the program’s guidelines.The Data Scientist and Data Manager will have the following key responsibilities:Data Collection and Integration: Gather data from a variety of sources, particularly GPS tracking, GLS tracking, and vessel tracking systems, ensuring data is comprehensive and relevant to project needs.Data Cleaning and Preprocessing: Clean, preprocess, and standardize datasets to ensure data quality, consistency, and usability for analysis.Statistical Analysis: Apply statistical techniques to analyze and interpret complex datasets, identifying meaningful patterns, trends, and correlations across multiple data streams.Model Development: Develop predictive models to address specific research questions, such as assessing interactions between seabird populations and external factors (e.g., fishing activities, environmental variables).Model Validation and Refinement: Continuously validate, test, and refine models to improve their accuracy, reliability, and performance.Data Visualization: Create clear, impactful visual representations of data (e.g., charts, graphs, dashboards) to effectively communicate findings to diverse stakeholders.Stakeholder Communication: Present findings in a clear, actionable manner to stakeholders, providing insights that inform project decisions and recommendations.Innovation in Data Analysis: Experiment with innovative approaches to data analysis, testing new methodologies and exploring advanced techniques for model development.Collaboration with Partners: Coordinate data collection efforts among various project partners and stakeholders, ensuring smooth data integration and sharing.Data Processing Oversight: Supervise all data processing activities, including cleaning, validation, and transformation, ensuring they adhere to best practices and project protocols.Data Documentation: Ensure that all datasets are thoroughly documented with metadata, detailing how the data was collected, processed, and prepared for reuse, in alignment with FAIR principles (Findable, Accessible, Interoperable, Reusable).Data Standardization: Enforce data standards to promote ease of use, interoperability, and compatibility between systems, facilitating collaboration between different users.Quality Control: Implement robust data quality control processes to guarantee the accuracy, completeness, and reliability of all datasets.Audits and Compliance: Conduct regular audits and reviews of data management practices to ensure compliance with the Data Management Plan (DMP) and project requirements.

Training and Support: Provide training, guidance, and technical support to project partners, team members and students.Long-term Data Preservation: Develop and implement a strategy for the long-term preservation of critical datasets, ensuring compliance with Horizon Europe’s open-access and data-sharing policies.Additional Responsibilities: Undertake other tasks as assigned by the Project Coordinator, ensuring alignment with the REDUCE project’s goals and objectives.Gross salary per year: 28.000 €.Where to apply WebsiteRequirementsResearch Field Biological sciences Education Level PhD or equivalentSkills/Qualifications

• Expertise in Tracking Data Analysis and Visualization: Proficient in analyzing GPS, GLS, and vessel tracking systems, with the ability to visualize spatial data effectively.
• Experience with State-Space Models: Skilled in the development and application of state-space models for ecological and movement data analysis.
• Proficiency in R Programming: Advanced programming skills in R, including data manipulation, statistical analysis, and visualization.
• Strong Statistical Foundation: Solid understanding of statistical concepts, probability, and their application in analyzing large ecological datasets.
• Effective Communication Skills: Ability to translate complex data insights into clear, actionable information for non-technical stakeholders.
• Large-Scale Data Analysis: Experienced in handling and analyzing large datasets using statistical software, ensuring accuracy and relevance.
• Data Visualization Expertise: Proficient in using data visualization tools like R’s ggplot2 to create informative and visually compelling representations of data.
• Data Cleaning and Validation: Strong skills in data preprocessing, cleaning, and validation to ensure data integrity and usability.
• Quality Assurance: Knowledge of data quality assurance practices to maintain the accuracy, consistency, and reliability of datasets.
• Metadata Management: Ability to create, manage, and maintain metadata standards and thorough documentation for research data.
• Scientific Writing and Reporting: Proficient in writing scientific articles, clear reports, and technical documentation.
• Project Management: Skilled in prioritizing tasks, managing multiple projects, and meeting deadlines in a fast-paced research environment.
• Attention to Detail: Meticulous approach to data entry, cleaning, and analysis, ensuring high-quality results.
• Analytical Problem-Solving: Strong analytical skills to identify trends, patterns, and anomalies within complex datasets.
• Collaborative Teamwork: Ability to work effectively in multidisciplinary teams, fostering collaboration and shared goals.
• Knowledge of FAIR Principles: Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) principles in research data management.
• Continuous Learning: Committed to staying updated on emerging trends and technologies in data science, big data, and analytics.

Specific Requirements

• Excellent communication skills in English and French
• Availability for travelling

Languages ENGLISH Level ExcellentLanguages FRENCH Level ExcellentLanguages SPANISH Level BasicResearch Field Biological sciences Years of Research Experience 4 – 10Additional InformationEligibility criteria

• CV Alignment (up to 50 points)
• Motivational Letter (up to 20 points)
• Professional experience in data management (up to 20 points)
• Project-specific expertise (up to 10 points)

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

Expected salary

€28000 per year

Location

Barcelona

Job date

Fri, 01 Nov 2024 05:47:40 GMT

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