Dr. Esha Shah

Assistant Professor

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Biography

Esha Shah is a lecturer at Wageningen University, specializing in feminist scholarship and the role of moral power in shaping ideas that transform the world. Her academic journey includes previous positions at the University of Sussex and Maastricht University, as well as a fellowship at the Indian Institute of Advanced Study in Shimla, India and the Institut d'études avancées de Nantes, France. She employs historical anthropological methods in her research, increasingly utilizing sources from popular culture such as films and autobiographical writings. Her research interests primarily encompass anthropology, historical philosophy, science, and technology. Recent work has delved into the history and anthropology of indigenous irrigation technologies, large dam social movements, contested knowledge around GMOs, and the implications of farmers' suicides. Dr. Shah has published several significant works, including a monograph titled 'Scientist-Subject? Affective History of the Gene,' which explores the interplay of subjectivity and objective science. She is also actively engaged in decolonizing higher education initiatives at her institution and is developing new courses focused on decolonial studies, political ecology, and critical perspectives in social theory.

Research Interests

Courses

Gender and Natural Resources Management Political Ecology Water Technology and Society Research Approaches Emotions in Natural Resources Management Critical Perspectives in Social Theory

Requirements for Wageningen University

Master Program
Requirements
GPA Requirement
Required:2.8
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:22
Total
Required:90
PTE
Listening
Required:59
Reading
Required:59
Writing
Required:59
Speaking
Required:59
Overall
Required:62
Prerequisites
Bachelor's degree or equivalent in a field of science relevant to the selected programme Sufficient academic performance (unweighted average 70% or 7.0/10.0) Basic knowledge of Statistics and Mathematics
Application Checklist
  • Bachelor's degree certificate (or recent transcript if not graduated)
  • Transcript of academic records
  • Proof of English proficiency
  • Curriculum Vitae (max 2 pages)
  • Statement of Purpose (optional but recommended for specializations)
  • Copy of passport
Specialization Notes

Master's programs are 2 years (120 ECTS). Admission decisions are usually issued within 6-8 weeks.