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PhD Research Fellow in intelligent systems for Assisted Living Technology

Fakultet for teknologi, kunst og design (TKD), Institutt for maskin, elektronikk og kjemi

Oslo and Akershus University College of Applied Sciences (HiOA) is Norway’s largest state University College, with approximately 17000 students and 2000 employees. We conduct research in areas that are important for welfare and value creation, for instance health, education, social sciences, technology and design. HiOA has an academic stimulating environment with a variety of welfare schemes.
Our goal is to become a leading university in the Nordics within the field of applied sciences.

The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 2800 students and 240 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Akershus.

The department offers bachelor’s degree programmes in engineering, in addition to research and development activities. The department has approximately 40 staff members and 460 students.

Research within biotechnology and medical technology are priority areas at the department.

PhD Research Fellow in intelligent systems for Assisted Living Technology

A 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 research

The 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.


The 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.


  • 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 languages

The 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 hardware electronics will be an advantage

 We offer

  • Opportunity to contribute to research and development of high socioeconomic impact as part of two highly competent technical groups with expertise in robotics, automation, and medical technology
  • A dynamic working environment with challenging tasks in an area of substantial development
  • Good loan and pension terms in the Norwegian Public Service Pension Fund (link)
  • Benefits such as flexible hours and various welfare schemes
  • Read more about working at HiOA

Expert committee – required documentation

All application documents submitted should be in English or a Scandinavian Language.

As an applicant you will be assessed by an expert committee. In addition to the online application, you must upload the following documents:

  • application letter, CV and copies of diplomas/certificates including all grades
  • copy of MSc thesis and any other papers or publications you wish to be considered, including a full list of any publications you may have. Scientific publications are not required of a PhD candidate, however, any publications will be an advantage
  • names and contact details of 2-3 references (name, relation to candidate, email, and telephone number 

Contact information

  • Dr. Evi Zouganeli, Associate Professor, tel: (+47) 6723 8704, email: evi.zouganeli(at)
  • For administrative questions: Liv Kalveland, Higher Executive Officer, (+47) 67 23 88 33, liv.kalveland(at) 


Salary is set in accordance with the Norwegian State Salary Scale, position code 1017 PhD Candidate, wage scale 50 – 54 (430 500 – 459 700 NOK).

The position adheres to the Norwegian Government’s policy that the national labour force should to the greatest possible extent reflect the diversity of the population. Therefore, we encourage qualified candidates with immigrant background or reduced functional ability to apply for this position. HiOA is an IA (Inclusive Workplace) enterprise and operates in compliance with the Norwegian IA agreement.


Final date of application:             15.04.2016

Ref. No:                                         16/02132

Type of employment Temporary position
Working hours Full time
First day of employment As soon as possible
Salary 430 500 – 459 700 NOK
Employment expires  
Number of positions 1
Working hours 100
City Oslo
County Oslo
Country Norway
Reference number 16/02132
Published 14.Mar.2016
Last application date 21.Apr.2016 11:59 PM CET

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