Engineer I - Design at Microchip Technology Inc, responsible for RTL - based block design and verification. Engaging in general RTL and ASIC development with a focus on high - speed design techniques.
FR
Onsite Master's Thesis – Modelling Approaches and Loss Design for Precise Age Estimation
Posted last week
About the role
- Master's thesis focused on key modeling approaches and loss functions in machine learning at Fraunhofer. Engaging in research, implementation, and evaluation of novel methodologies in age estimation.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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