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Oslo Metropolitan University is Norway's third largest university with almost 22,000 students and over 2,500 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.
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 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.
The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.
PhD Research Fellow in Artificial Intelligence Based Software Tool for Memory Training for Dementia.
The computer science department at the Faculty of Technology, Art and Design currently has an opening for an interdisciplinary position at the Department of Behavioral Science, Faculty of Health Sciences. The Phd candidate will be registered the Phd program in Behavioral Science at the Faculty of Health Sciences which will be the awarding institution.
The fellowship will be for a period of four years with 25% compulsory work (teaching, lab, or project supervision responsibilities at the department).
The fellowship requires admission to the PhD-program “Behavior analysis” at the Faculty of Health Sciences. See requirements for admission. At a technical level, the research problem can be addressed by methods that have been a long-term research focus of the Networking and System Administration research group at the Computer Science department. These methods include machine learning, personalized learning, and artificial intelligence.
Area of research
The portion of the population with dementia is continuously increasing in the western world.
The aim of this project is to develop a set of tools for dementia patients in order to perform the following goals:
Application
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.
Qualifications
The candidate must be fluent in English, both written and spoken.
Desired skills
We offer
Expert committee and 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:
Contact information
Dr. Erik Arntzen, Professor, tel: +47 67 23 64 42, email: Erik.Arntzen(at)hioa.no Dr. Anis Yazidi, assoc. Prof, tel: +47 67 23 85 95, email: Anis.Yazidi(at)hioa.no
For more information about the doctoral program, contact: kim-henrik.ruud@hioa.no
Remuneration
Salary is set in accordance with the Norwegian State Salary Scale, position code 1017 PhD Candidate, wage scale 50 - 54 (429 700 - 458 800 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.
Ref.nr. 16/03256
Type of employment | Temporary position (shorter than 10 days) |
---|---|
Contract type | Full time |
First day of employment | Fall 2016 |
Salary | 429 700 - 458 800 NOK |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Oslo |
County | Oslo |
Country | Norway |
Reference number | 16/03256 |
Published | 02.May.2016 |
Last application date | 09.Jun.2016 11:59 PM CEST |