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Research Fellow Egocentric subject monitoring and tracking in Smart Homes

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  • Full or part time
    Mr Roosken
    Ms Verschuur
  • Application Deadline
    Applications accepted all year round

Project Description

ACROSSING is an innovative research training network funded by the EU H2020 Marie Curie program which aims to change the way millions of the older people in Europe and around the world live, are cared, and manage their conditions and maintain wellbeing. In this network we will develop advanced technologies for smarter assisted living, making a critical contribution towards an open smart home (SH) technology infrastructure by interlinking disciplines from sensing technologies, context inferences and interaction, to service infrastructures, and considering key principles of social impact, ethics, security and privacy.

Scientific target: Develop advanced technologies and toolsets for SH-based assisted living, including four specialized technology infrastructures, a shared experiment data repository, and guidelines for SH application development based on the best-practice demonstrators.

Training target: Educate 15 Early Stage Researchers (ESR) in multi-disciplinary, transferable skills and wider perspective to become the SH experts, nurture the ESRs’ thinking to become future research leaders in SH-based assisted living and create networks and common ground for future collaborations among partners.

Societal target: Increase European innovation capacity and competitiveness in SH technology through the collaboration of industry, academia, and users by integrating totally four ICT-driven application demonstrators as best-practice examples for the envisioned open SH technology infrastructure.

For a complete overview of this project see www.acrossing-itn.eu. For company information, please check: www.noldus.com.

Marie Curie ITN regulations

- You have not yet been awarded a doctorate degree and are still within the first four years (full-time equivalent) of your research career (i.e. after completion of university education), at the time of appointment.
- You must not have resided or carried out research in The Netherlands for more than 12 months in the 3 years immediately prior to recruitment.
- You will be employed as an Early Stage Researcher according to Marie Curie EID regulations, which offer excellent employment conditions including a high base salary (approx. € 38.000 per year) and additional benefits such as education and allowances for mobility. The duration of employment will be 36 months.


Funding Notes

- University degree (M.Sc. level) in computer science or electronic engineering.
- Substantial knowledge of mathematics, statistics and informatics, as well as computer programming (e.g. Matlab, C++, C#, Java). We will provide additional training in software engineering and application development.
- Knowledge/experience with computer vision, machine learning and signal processing is an advantage.
- You are willing to move to The Netherlands for the duration of the project and you either have or do not need a working permit for the Netherlands. Unfortunately it is not possible for our company to arrange one.

References

Research Fellow position

You will work towards a PhD on subject monitoring and tracking in Smart Homes. In more detail, you will develop a tracking system which uses a mobile camera mounted on the subject (egocentric video). You will develop new algorithms to calculate the location of the subject from the image of the mobile camera. By combining with other body worn sensors (e.g. accelerometers), you will develop methods to detect a range of behaviors in the subjects, such as social interaction, loneliness, falls and changes caused by mild stroke. Specifically the project will address a) development of monitoring technology, including activity tracking and its integration into Noldus’ TrackLab software for import, visualization and analysis of track and sensor data, b) object detection for location determination, also valuable data in itself and c) impact of user centric design and privacy in technologies and system, d) evaluation in real-world scenarios.

You will be employed at Noldus Information Technology BV in Wageningen, The Netherlands for 3 years. Scientific supervision of the project will also be provided by Prof. dr. Remco Veltkamp (Department of Computer Science) of Utrecht University, where you will be enrolled as a PhD. student.

Your profile

- University degree (M.Sc. level) in computer science or electronic engineering.
- Substantial knowledge of mathematics, statistics and informatics, as well as computer programming (e.g. Matlab, C++, C#, Java). We will provide additional training in software engineering and application development.
- Knowledge/experience with computer vision, machine learning and signal processing is an advantage.
- You are willing to move to The Netherlands for the duration of the project and you either have or do not need a working permit for the Netherlands. Unfortunately it is not possible for our company to arrange one.
- You are a creative and pro-active person who likes to work independently, with a strong drive and perseverance to accomplish a challenging mission.

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