Fraunhofer-Gesellschaft

Master's Thesis – Detection of Suggestive Poses and Facial Expressions

Fraunhofer-Gesellschaft

full-time

Posted on:

Location Type: Office

Location: Darmstadt • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

PythonPyTorch

About the role

  • The aim of this master's thesis is to investigate whether, and to what extent, poses and facial expressions can be used to detect erotic and pornographic imagery
  • First, research which existing approaches are suitable to address this question
  • Identify gaps in existing datasets and models and close these gaps with your own data and models
  • Based on the developed methods, evaluate whether reliable detection of erotic poses and facial expressions is possible
  • Implement new approaches to classify poses and facial expressions, both in everyday situations and in erotic and pornographic contexts

Requirements

  • Strong knowledge of machine learning and training neural networks
  • Good Python skills, preferably with initial experience in PyTorch
  • Ideally, experience in computer vision and object detection/segmentation
  • Motivation to independently familiarize yourself with new and current research topics
  • Willingness to work with erotic or pornographic image material
  • Interest in scientific research
Benefits
  • Flexible working hours
  • Insight into the intersection of academic research and industrial application

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningneural networksPythonPyTorchcomputer visionobject detectionsegmentation
Soft skills
motivationindependencefamiliarity with research topicswillingness to work with sensitive materialinterest in scientific research