Stillingstittel:
PhD Research Fellow in intelligent systems for Assisted Living Technology

Stillingsbeskrivelse:
PhD Research Fellow in intelligent systems for Assisted Living TechnologyA position as PhD Research Fellow is available at the Faculty of Technology, Art and Design, Department of Mechanical, Electronic and Chemical Engineering at Oslo and Akershus University College of Applied Sciences. The fellowship will be for a period of three years with no compulsory work at the department, with the possibility for an extension by up to 12 months with up to 25% compulsory work (teaching, lab, or project supervision responsibilities at the department).The position is one of three PhD fellowships within the interdisciplinary Project The Assisted Living project - Responsible innovations for dignified lives at home for persons with mild cognitive impairment or dementia. The project is funded by the Norwegian Research Council and conducts research within automation/ information and communication technology, health science, social science and ethics.The project aims to develop Assisted Living Technology (ALT) solutions for users with mild cognitive impairment and dementia (MCI/D) by adapting a Responsible Research and Innovation (RRI) approach. It involves national and international academic partners, health care providers, and industry in a strongly interdisciplinary consortium with researchers, developers, users and students at all levels. Technology will be developed in close dialogue with all user groups - patients, family, and care providers - tested in a field trial with real users, and assessed using a holistic health technology assessment approach.The successful candidate for this position will focus on the technological research and development. The candidate will work in close collaboration with a developer from the industry, a PhD candidate within health sciences and a PhD candidate within ethics.Area of researchThe technological approach in this project is to develop intelligent self-learning assisted living systems for users with MCI/D. The characteristic of a self-learning system is that it evaluates its own performance and improves its algorithms automatically. The system learns by experience and employs the best learned strategy next time a similar situation arises. Hence it evolves to be better suited for the tasks at hand. In addition, such a system is self-adapting and tailors itself automatically, for example in accordance with user preferences and needs. Applied to solutions for persons with MCI/D or persons in a high-danger group for developing dementia, such a system may prove invaluable.ApplicationThe application letter shall include the applicant's motivation for applying to this fellowship as well as a short overview of the qualifications, technical skills, experience, and personal skills that make you an attractive candidate for a successful and productive completion of this work.Qualifications - Master's degree in Electrical Engineering or Computer Science, preferably in automation. Other degrees can be considered depending on qualifications. Experience/ knowledge within machine learning / robotics / artificial intelligence / smart systems will be beneficial for this work - Programming skills and experience, preferably including Object Oriented languagesThe fellowship requires admission to the PhD programme provided by the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). See requirements for admission. Successful enrolment into the PhD program at UiO is required before entering the PhD position.The candidate must be fluent in English, both written and spoken. Good command of Norwegian will be a strong advantage for this work.Desired skills - Strong mathematical skills - Strong analytical skills and ability to abstract and compose a model - Excellent communication skills and ability to collaborate in interdisciplinary teams under supevision - Ability to work independently, take initiative, plan, dimension and direct own work - Some practical experience with wireless networks and/or hardwar

Minstelønn: 0

Maksimal lønn: 0

Arbeidsgiver Navn: Høgskolen i Oslo og Akershus - Institutt

Arbeidsgiver adresse: Pilestredet 0167 OSLO

Job kort beskrivelse: University and higher education teachers

Land: Norge

Region: Oslo

Kilde til jobbtilbud: NAV, Offentlige arbeidsformidlinger, Norge

Lønn valuta: NOK

Lønn periode: Pr. år