Position as PhD Research Fellow in transport mode detection with location privacy available at IFI (Informatics Department) / PT (Programming Technology).
The fellowship period is three years.
Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g., teaching and supervision duties and research assistance up top four years.
Starting date no later than October 1, 2026.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Place of work is IFI (Informatics Department) / PT (Programming Technology), at Blindern, Oslo.
Automatic human activity detection (HAR), mainly transport-wise (transport mode detection), has been gaining interest since 2000. It allows us to better plan our cities, and new approaches have been made possible with the widespread use of smartphones carrying several different sensors. As a matter of fact, in most developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys.
This data is valuable to several stakeholders: i) architects and urban planners when designing cities or roads, ii) public transportation systems (e.g., as an automatic way for issuing tickets for the travelers, particularly when they are using public transport means such as train, bus, subway, etc.), iii) mobile users with a need to navigate, iv) healthcare (e.g., it is a useful way of detecting abnormal activities of patients with Alzheimer, dementia or any other mental pathologies, and v) entertainment, and more (e.g., a football match, a national festival or a bad weather condition may change the regular public transportation demands in a particular period of time). In addition, the information obtained by TMD systems is essential for providing mobile users with various value-added services, without tracking the user, for location-privacy. This proposal aims at solving the challenge of location-privacy by developing a) a system that can perform TMD with the capacity of generalization (not significantly affected by the geographical location, user variation, smartphone type, or smartphone position, e.g., in a bag or pocket), without tracking the user for location-privacy.
Software lies at the core of all IT-systems. The Programming Section, in which the candidate should be integrated, performs research and teaching on how to develop high quality software that benefits society and that is useful for both individuals and organizations.
Development plan:
In this PhD project you will develop a system that will be able to perform TMD, without the GPS to ensure location-privacy, with the capacity of generalization (not significantly affected by the geographical location, user variation, smartphone type, or smartphone position, e.g., in a bag or pocket).
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Required qualifications:
Language requirement:
Grade requirements:
The norm is as follows:
All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.
Personal skills:
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
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We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
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We hope you will apply for the position with us.
The application must include:
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job".
Foreign applicants should attach an official explanation of their University's grading system.
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
The best qualified candidates will invited for interviews.
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Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.