Master's Thesis – Modelling Approaches and Loss Design for Precise Age Estimation
Fraunhofer-Gesellschaft
full-time
Posted on:
Location Type: Office
Location: Darmstadt • Germany
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About the role
- Researching and structuring the literature on a current topic in the field of machine learning.
- Researching and implementing novel machine learning and computer vision approaches.
- Planning and conducting experiments.
- Self-critical evaluation of the obtained results.
- Presenting the results.
- Preparing a scientific paper in the form of a master's thesis with the results.
Requirements
- Good knowledge in the field of machine learning and training neural networks
- Ideally, knowledge in computer vision and facial recognition
- Good Python skills, preferably experience with PyTorch, OpenCV, etc.
- Motivation to independently delve into new and current research topics
- Interest in optimisation and evaluation metrics
- Interest in scientific research.
Benefits
- Independent work schedule management
- Insights 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 & Tools
machine learningneural networkscomputer visionfacial recognitionPythonPyTorchOpenCVoptimisationevaluation metricsscientific research
Soft Skills
self-critical evaluationpresentation skillsindependent researchmotivation