Dr. Frank Maurer

Assistant Professor

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Biography

Since 2015, Frank Maurer has served as a lecturer at the Faculty of Law, focusing on statement psychology and communication in criminal and civil proceedings. He has been the presiding judge of a major economic criminal chamber at the District Court of Stuttgart since 2013, and from 2010 to 2013, he was a judge in the criminal division of the District Court of Stuttgart. His judicial career is marked by various roles, including a stint as a federal prosecutor with a focus on economic criminal law. Maurer entered the higher judiciary of Baden-Württemberg in 2000 and completed his doctorate in law in 1996. He has co-edited significant publications in criminal procedure law and has contributed extensively to literature on interview techniques and interrogation tactics. In addition to his academic duties, he provides nationwide training for corporate legal departments, focusing on internal investigations and compliance audits. His expertise includes areas related to the psychology of testimony and questioning techniques applied within legal contexts. Maurer’s extensive experience in the judiciary and academia makes him a recognized figure in the fields of law and forensic psychology.

Research Interests

Experience

Lecturer

2015-01-01 — Present

University of Tübingen • Tübingen, Germany

Lecturer for statement psychology and communication in criminal and civil proceedings.

Presiding Judge

2013-01-01 — Present

District Court of Stuttgart • Stuttgart, Germany

Presiding judge of a major economic criminal chamber.

Judge

2010-01-01 — 2013-01-01

District Court of Stuttgart • Stuttgart, Germany

Judge in the criminal division.

Federal Prosecutor

2001-01-01 — 2006-01-01

Prosecutor's Office • Germany

Worked in the department of economic criminal law.

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.