Postdoctoral Fellowship in Political Science focused on Agent-based Modelling, Sweden

  •  Fellowship
  •  30-Aug-2024
  •   Sweden
  • $$  Employment contract

Lund University invites applications for a postdoctoral position in political science, focusing on agent-based modeling within forestry. This opportunity is perfect for candidates with a PhD and experience in interdisciplinary research.

Applicants should hold a PhD in a social science discipline with a focus on natural resources, or alternatively, a PhD in natural or technical sciences with demonstrated social science experience. Ideal candidates will have experience with agent-based modeling and an interest in interdisciplinary research. Additional qualifications such as programming skills, knowledge of Nordic forestry, and proficiency in Swedish are considered strong assets.Founded in 1666,  Lund University is one of the oldest and most prestigious universities in Sweden. Renowned for its world-class research and academic excellence, the university is consistently ranked among the top institutions globally. With over 47,000 students and 8,800 staff members, Lund University offers a vibrant and diverse academic environment across its campuses in Lund, Helsingborg, and Malmö. The university is known for its strong interdisciplinary approach, fostering innovation and addressing complex global challenges through cutting-edge research and education.

Lunds Universitet Information

Lunds Universitet Grants

Postdoctoral Fellowship in Political Science focused on Agent-based Modelling, Sweden Founded in 1666, Lunds Universitet (Lund University) is a non-profit public higher education institution located in the urban setting of the large town of Lund (population range of 50,000-249,999 inhabitants), Skane County. This institution has also branch campuses in the following location(s): Malmo, Helsingborg, Ljungbyhed. Officially accredited and/or recognized by the Utbildningsdepartementet, Sverige (Ministry of Education and Research, Sweden), Lunds Universitet (LU) is a very large (uniRank enrollment range: 30,000-34,999 students) coeducational higher education institution. Lunds Universitet (LU) offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 353 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Open to applicants from all countries.
  • Acceptable Course or Subjects: The scholarship is for a postdoctoral position focused on agent-based modeling in political science, particularly in the context of forestry and social learning.
  • Admissible Criteria: To be eligible, applicants must meet the following criteria:
    • Hold a PhD in a social science discipline with an emphasis on natural resources or a relevant PhD in natural or technical sciences with demonstrated social science experience.
    • Experience with agent-based modeling or related methods.
    • Interest in interdisciplinary teamwork.
    • Additional qualifications such as programming experience, empirical data analysis, and knowledge of Nordic forestry or policy instruments are considered assets.
    • Proficiency in the Swedish language is a particular merit.

Offered Benefits

Salary: The position offers a monthly salary with full-time employment benefits, including generous annual leave, parental leave support, and occupational pension as per Swedish regulations. The start date is 1 November 2024, or as per agreement.

Application Process

  • Application Process: Applicants must submit their application through Lund University’s recruitment system, Varbi. The application must include:
    • A personal letter.
    • CV detailing degrees, education, work experience, and publications.
    • A project/research plan (max 3 pages).
    • A copy of the doctoral degree certificate.
    • A single significant publication.
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