Dr. Eric Hochstein

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Eric Hochstein. Improve your application with a focused, well-structured draft.

Biography

Eric Hochstein is an Associate Professor in the Department of Philosophy at the University of Victoria. He specializes in the intersection of philosophy with neuroscience and psychology, focusing on the theories and models used to address the complex phenomena within these fields. His research examines how contradictory scientific models can contribute to scientific explanation, particularly in the context of the mind. Additionally, he explores the influence of social, linguistic, and pragmatic factors on scientific practices. Hochstein's work engages with traditional philosophical questions regarding the mind, cognitive phenomena classification, the nature of mental content, and the metaphysics of intentionality. Since joining the University of Victoria in 2017, he has contributed to various reputable journals, further outlining his expertise in the philosophy of science.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

University of Victoria • Victoria, BC

Teaching and conducting research in the Department of Philosophy, focusing on the intersection of philosophy with neuroscience and psychology.

SSHRC Postdoctoral Fellow

— Present

Philosophy-Neuroscience-Psychology Program, Washington University •

Engaged in research related to the philosophy of mind and cognitive science.

Visiting Research Fellow

— Present

Centre for History and Philosophy of Science, University of Leeds •

Conducted research in areas linking history and philosophy of science.

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
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:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.