Dr. Jacky Kosgei

Assistant Professor

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Biography

Jacky Kosgei teaches African Literary Cultural Studies at the University of Tübingen's Englisches Seminar. His interdisciplinary research focuses on the intersection of literary studies, history, and anthropology, particularly utilizing oral histories to challenge and expand established narratives within historical archives. Kosgei emphasizes the significance of marine ecosystems and indigenous knowledge, exploring how these cultural forms can contribute to marine conservation efforts. His recent work includes oversight of significant PhD dissertations and contributions to a range of academic publications, highlighting issues around Africa, diaspora literature, and ecological perspectives. Kosgei is involved with various academic committees and initiatives, notably the Indian Ocean World Centre and the Interdisciplinary Centre for Global South Studies. His teaching includes areas such as Comparative African Literature and Postcolonial Ecocriticism, with a focus on how these topics inform broader discussions within literary and cultural studies. He has also presented at numerous conferences and workshops, promoting discussions on decolonization and ecological issues.

Research Interests

Experience

Junior Professor

2023-01-01 — Present

University Tübingen • Tübingen, Germany

Teaching and research in African Literary Cultural Studies, supervising undergraduate and postgraduate theses.

Courses

Comparative African Literature Postcolonial Literature Diasporic Literature Postcolonial Ecocriticism Indian Ocean Literature Oral Literature Popular Literature Abolitionist Literature

Requirements for University of Tübingen

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Overall
Required:6.5
TOEFL
Total
Required:79
GRE General
Prerequisites
Bachelor's degree in Computer Science or equivalent Strong background in mathematics and coding
Application Checklist
  • Transcript of records
  • Degree certificate
  • CV
  • Proof of English proficiency
  • GRE scores (optional for non-EU)
Specialization Notes

Focus on Autonomous Vision, Machine Learning, and Computer Vision.