Research | Be-Insight Project
We are seeking an outstanding candidate for a 1.5-year, full-time researcher position, in the fields of Software Engineering / Applied Machine Learning.
Project Description of Be-Insight:
The overall goal of the research project is to enable automated ticketing (Be-In, Be-Out) and new business models within the area of public transport, and to improve mobility flow modelling and behavior analysis for the mobility industry. The overall goal is a friction free, safe, and fair travel experience that stimulate for increased use of environmentally friendly transport. All of this is possible through the use of unique technology. With sensors in people’s mobile phones and other data sources, one can determine the mobile phone’s position with very high accuracy without compromising user privacy. The mobility players will have the foundation for automatic ticketing and get more insights to further optimizing the service through the use of this platform. For travelers, this will be a “ticket free” experience that also provide a fairer pricing, with added positive benefits to the environment. The potential for this new technology is global.
The main activities will be centered around:
Defining and researching data and algorithms to precisely indicate if a person is in a mode of transport.
Optimize algorithms to be able to run on a mobile device, in addition to the cloud and all the while not compromising user experience, user privacy and performance issues.
Explore through software implementation the use of federated learning and mobile edge computing / fog computing.
Participate in prototype development and pilot testing together with public transportation companies in Norway.
Participate in designing and developing the mobile solution and associated backend architecture.
The position is funded by the Norwegian Research Council, via the Pilot-T grant in collaboration with the industry partner fluxLoop. The position requires a PhD degree in Computer Science, or related fields such as Software engineering, Artificial Intelligence or Informatics. Due to COVID-19 travel restrictions, candidates with current residence in Scandinavia or Europe will be prioritized.
The successful candidate will be expected to conduct research of top-quality level, under the supervision of Prof. Tor-Morten Grønli, and publish in top ranked conferences and journals within the fields. The successful candidate will be members of the Mobile Technology Lab (MOTEL) and are expected to start the appointment as soon as possible.
Candidates with PhD thesis in one of the following topics are strongly encouraged to apply:
Excellent candidates with PhD thesis on other related topics will still be considered.
The position requires candidates with a passion for software development, curiosity, and good problem-solving skills. Good coding skills are required. All software developed in the project conducted in cooperation with the development teams at FluxLoop and tested in live business critical applications. The results of the project will be used in practice (e.g., among the industrial partners of the project), and not be just throw-away prototypes or proof-of-concepts.
The researcher will have the option to voluntary engage in supervising of master students and/or PhD -student and-/or other teaching- related activities according to their competence.
Salary of NOK 530 000-605 000 a year. Higher salary may be considered for particularly well qualified applicants.
Vibrant research community.
An inspiring, friendly and inclusive working environment.
Attractive welfare arrangements.
Working downtown Oslo, Norway.
How to apply:
CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity).
Complete list of scientific publications.
Copies of educational certificates and diplomas. Diplomas issued in other languages than Scandinavian or English must be provided in the original language as well as in an English translation.
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number).
A copy of the doctoral dissertation, along with a maximum of 50 pages from other academic works that the applicant wishes to be considered for evaluation.
Link to GIT hub project portfolio is a strength
Last application deadline: 15.05.2021
Applications will continuously be screened until the position has been filled.