Early stage researcher: Position in the EU-OptiVist program
It is essential to know what visually impaired individuals can do with their residual vision in daily life activities, otherwise known as their “functional vision”. Conventional ophthalmic tests (e.g. visual field tests) are able to detect the extent of a visual defect, but they yield little information about functional vision. This lack of appropriate tests impedes the optimal practice of diagnostics (in ophthalmic and neurological care, in particular of children and elderly), rehabilitation and classification (essential in sports competitions).
Our European MARIE SKŁODOWSKA-CURIE Innovative Training Network (ITN) OptiVisT aims to resolve this by (1) gaining new Insights: i.e. a fundamental understanding of the visual demands of activities of daily living and sports; (2) developing Solutions: i.e. creating new objective, inclusive and engaging tools for testing, training and augmenting functional vision; and (3) the Application of 1 and 2: evaluating the effectiveness of our new tools in diagnostics, rehabilitation and classification in practice.
Are you, like us, fascinated by vision, the brain and technology and consider it important to help visually impaired people? Do you have an inquisitive mind, and are you looking for a PhD position embedded in an international innovative training network in which you can develop your research, technical or clinical skills? Then consider applying with OptiVisT and join one of our 15 PhD projects (overview below). We offer PhD positions in academia, medical, technology and rehabilitation institutes, and high-tech companies.
Curious to see and hear more about what it means to be part of such Innovative Training Network? Check out these two short movies about our previous ITNs NextGenVis and EGRET+.
Augmenting functional vision using automated tactile guidance
Why? Recent advances in computational object recognition, robotics and machine learning, combined with miniaturization of hardware, offer many opportunities for digital personal assistance. If there are self-driving cars soon, why not use similar camera-based approaches to assist humans in everyday tasks, like shopping and wayfinding? Especially for seniors and those with mild to severe impairments, technology can be the key for a self-determined partaking in society.
How? Today, we have a tactile navigation belt for the blind that makes them feel orientation and navigation cues, utilizing vibration around the waist. Tomorrow, we want to give our customers a digital personal assistant that integrates environment cues, captured by cameras and IR-distance sensors, with machine learning, to offer the individual user situationally adapted assistance in real-time. For this, we will be using cutting edge approaches of deep-neural-network based object recognition, AI and robotics, combined with tactile displays as the user interface. The digital assistant will be optimized for seamless integration, and to support the user, according to their individual needs. This includes, for example, various everyday tasks like shopping in the local supermarket.
Where? The company feelSpace GmbH (Osnabrück, Germany) runs the project in combination with the University of Osnabrück. feelSpace GmbH is a high-tech start-up company, known for its sensory augmentation technology. It developed the wearable “naviBelt”, the first tactile navigation device for visually impaired people. The project will be supervised by Silke Kärcher (CEO feelSpace) and Prof. Dr. Peter König of the Cognitive Science department from the University of Osnabrück. University of Osnabrück offers many exciting courses to all related topics, international researchers with a wide variety of experience and a lively lab atmosphere.
What can you expect to learn and experience? You can do your PhD in an environment that is bridging the gap between theoretical and applied science. The combination of feelSpace GmbH/University of Osnabrück offers the rare chance to collect valuable working experience in a highly innovative company where you are part of a motivated and curious team, while at the same time having all benefits of academic study available to you from the excellent Cognitive Science program of the University of Osnabrück.
Who are we looking for? We are looking for a candidate who has deep knowledge in the topics of object recognition, machine learning and robotics, and has hands-on experience. Strong programming skills (esp. Java, Android, C, C++) are an essential requirement. We are looking for applicants with self-dependent, goal-oriented and self-motivated working habits. We are also open to accommodate your family obligations with flexible working arrangements.
- Kärcher SM, Fenzlaff S, Hartmann D, Nagel SK and König P (2012). Sensory augmentation for the blind. DOI: 10.3389/fnhum.2012.00037. Front Hum Neurosci 6:37
- Gulde T, Kärcher S and Curio C. Vision-based SLAM navigation for vibrotactile human-centred indoor guidance. ECCV2016
- Hernández-García A and König P (2018). Further advantages of data augmentation on convolutional neural networks. International Conference on Artificial Neural Networks (ICANN); Preprint of the manuscript: arXiv:1906.11052;
- Hernández-García A and König P (2019). Learning representational invariance instead of categorization. International Conference on Computer Vision (ICCV), Workshop on pre-registration in Computer Vision
Want to apply to this position? Email your application documents to firstname.lastname@example.org.