About the project/work tasks : The postdoctoral research fellow will perform quantitative data analysis using advanced techniques such as signal processing, modeling, dynamic systems, and/or artificial intelligence, and will contribute to developing dynamic and knowledge-driven intelligent models. The postdoctoral research fellow will actively participate during the supervision process of PhD-students as main or co-supervisor. The postdoctoral research fellow will be part of an interdisciplinary team to design new outcome measures for pain and behavioral and psychological symptoms in dementia. The postdoctoral research fellow will contribute to the conduction of the trial together with a multidisciplinary team of clinicians, researchers, engineers, PhD students, statistician, and user-representatives. The postdoctoral research fellow will be actively included in SEFAS’ national and international collaboration.

Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in bioinformatics, machine learning/artificial intelligence, simulation/visualization, dynamic systems, or signal processing/computer science, or have the doctoral thesis submitted prior to the application deadline. It is a condition of employment that the PhD has been awarded at the latest within 5 months after the closing date for applications. The applicant must have good programming skills, good general knowledge of algorithms and numerical methods, and at least basic knowledge of signal processing and dynamic system modeling Experience from or formal training within analysis and processing of large data sets, signal processing or programming will be emphasized (relevant programs include for instance: Matlab, Python, R) Prior experience from elderly care or research is an advantage but is not essential Previous experience with sensor technology is an advantage The applicant must be fluent in oral and written English Good Norwegian language skills is an advantage Experience from relevant research projects will be considered as positive Applicants who fulfil the requirements for the position will be ranked according to their strength within their respective fields in relation to the relevance of their competence towards SEFAS’ current needs, strategic goals, and prioritized areas for future development. Personal characteristics that will be emphasized in the consideration of applicants include the ability to work independently in a structured manner, cooperate with others, motivation, sense of responsibility and accountability, work capacity, and enthusiasm for research. In the ranking of candidates, great emphasis will be placed on the personal qualities required for the position.

About the position of postdoctoral research fellow:

The position of postdoctoral research fellow is a fixed-term appointment with the primary objective of qualifying the appointee for work in top academic positions. You cannot be employed as a postdoctoral fellow for more than one fixed term period at the same institution.

The employee may be assigned required duties in the form of teaching and similar work at the department.

See regulations for appointments to Postdoctoral Research Fellow, Research Fellow etc.

We can offer: Exciting development opportunities as part of your role in a strong professional environment Salary NOK 615 700 (code 1352, pay grade 63) in the state salary scale. For applicants with a degree in Medicine or Dentistry, salary NOK 624 500 (code 1352, pay grade 64). For applicants with a medical specialization, salary NOK 646 000 (code 1352, pay grade 66) Enrolment in the Norwegian Public Service Pension Fund Good welfare benefits

About The University of Bergen (UiB)

The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen.

Our main contribution to society is excellent basic research and education across a wide range of disciplines.

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