Fisheries Social Scientist

Jobtailor

Berlin

Vor Ort

EUR 42.000 - 64.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Zusammenfassung

Jobtailor in Berlin seeks a researcher to design and execute quantitative surveys of urban anglers, manage online angler communities, and analyze data with R. You will publish findings for scientific and lay audiences and contribute to reports for funders.

The role requires an M.Sc. in a related field, advanced statistics with publications, and fluent German and English communication. Experience with questionnaire design and social science theory is highly valued.

Qualifikationen

  • Must hold an M.Sc. in fisheries, natural resources, psychology, sociology, leisure and tourism studies, human geography or related field.
  • Advanced statistical skills, preferably in R, evidenced by publications or a master thesis.
  • Proficient in German and English (C1 or higher). German required for communication with stakeholders, questionnaire construction, and reporting to funders.

Aufgaben

  • Design and execute quantitative surveys.
  • Set up and manage online angler communities in Berlin waters.
  • Conduct statistical data analysis and data visualization.
  • Write publications and develop presentations for scientific and lay audiences.

Kenntnisse

Statistical data analysis
Data visualization
Questionnaire design
Quantitative research
Project administration
German & English communication

Ausbildung

M.Sc. in fisheries or related field

Tools

R

Jobbeschreibung

  • Design and execute quantitative surveys with urban anglers
  • Set up and manage online angler communities to study seasonal patterns in effort and catch in Berlin waters
  • Conduct statistical data analysis and data visualization
  • Write publications and develop presentations and other content for scientific and lay audiences
  • Write project reports in German
  • Handle project administration and coordination
  • Conduct a large randomized survey of angling license holders in Berlin in cooperation with the Berlin fisheries agency
  • Contribute to research in the IFishMan group led by Prof. Dr. Robert Arlinghaus
  • Generate data potentially suitable for a doctoral dissertation
Requirements
  • Mandatory M.Sc. in fisheries, natural resources, psychology, sociology, leisure and tourism studies, human geography or a related field
  • Advanced statistical competencies, preferably in R, documented in scientific publications or a master thesis
  • Advanced German/English skills (C1 or higher)
  • German required for verbal communication with German-speaking stakeholders, questionnaire construction, and reporting to funders
  • Highly desirable: knowledge of social science theories related to outdoor recreation, conservation social science, or natural resources
  • Highly desirable: experience designing structured questionnaires or behavioural experiments with humans, or published analysis of quantitative social science data
  • Highly desirable: knowledge of recreational fishing
  • Application requires a cover letter and motivational statement, CV including publication and presentation list, key certificates, one relevant publication or master thesis, and contact details for up to three references
Core Competencies

Demonstrates expertise in statistical data analysis and visualization, with proficiency in R for conducting quantitative research. Capable of managing project administration and effectively communicating findings in both German and English.

Highest-signal resume keywords
  • M.Sc. In Fisheries Or Related Field
  • Advanced Statistical Competencies In R
  • Fluent In German And English (C1 Or Higher)
  • Experience Designing Structured Questionnaires
  • Knowledge Of Recreational Fishing
Hard Skills
  • Statistical Data Analysis
  • Data Visualization
  • Questionnaire Design
  • Quantitative Research
  • Project Administration
Soft Skills
  • Communication
  • Collaboration
  • Presentation Skills
Industry Keywords
  • Urban Angling
  • Conservation Social Science
  • Outdoor Recreation
  • Natural Resources
  • Social Science Theories
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