Why? The key mission of the OptiVisT project is to enhance the societal participation of individuals with vision impairment through innovative and inclusive care. To achieve this, the industrial partner PRC (Pattern Recognition Company GmbH Lübeck, Germany) will provide expert knowledge of machine learning, perform a comprehensive evaluation of different deep-learning approaches, and develop a machine-learning toolbox that can be used to discover diagnostic or rehabilitation relevance in the data.

How? You will use machine learning to reveal task-relevant patterns and features in the data collected by other ESRs. We expect to find new patterns and features that can be used to predict a patient’s functional vision.

Where? You will be hosted at the Pattern Recognition Company (Lübeck, Germany), an AI company that has pioneered the use of deep-learning technology for pattern recognition with applications in machine vision, medical diagnosis, security and big-data analysis. You will work under the supervision of Prof. Erhardt Barth a professor in Computer Science and co-founder of PRC, with expertise in computer vision and machine learning. PRC has the resources required for deep-learning applications (e.g. NVIDIA servers with multiple NVIDIA GTX graphics cards). Moreover, resources provided by the KI-SIGS platform and the AI-Lab, both in Lübeck, can be used. Besides being employed by PRC, the ESR will be enrolled in a PhD Program of the University at Lübeck. In this project you will also collaborate with the University Medical Center Groningen (NL) and the Vrije Universiteit Amsterdam (NL).

What can you expect to learn and experience? PRC is an ideal host for somebody keen to acquire relevant experience in machine learning in an industrial and academic context.

Who are we looking for? We are looking for a candidate with a technical background (Master in Computer Science, Engineering, or Physics) who is keen to acquire expertise in machine learning and to apply this knowledge in the interdisciplinary context of the OptiVisT project. Experience with Phyton, Linux, or C++ would be beneficial.

References

www.pattern-recognition-company.com

www.excire.com