The University of Stavanger invites applicants for a position as Researcher in Fellow in Image Processing and Machine Learning at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant for appointment as soon as possible.
The position is funded by The Research Council of Norway.
The appointment is for two years with research duties exclusively.
It is assumed that the appointee will work full time on the project and that she/he will participate in the academic community.
The general job description for researcher at UiS gives a more detailed account of relevant duties.
The researcher will be affiliated with the following project NewbornTime Improved newborn care based on video and artificial intelligence .
The NewbornTime project is about improved newborn care by using artificial intelligence (AI) for activity and event recognition in video from the time during and after birth.
Deprivation of oxygen to an infant during and after birth might lead to birth asphyxia, one of the leading causes of newborn deaths, cerebral palsy and other long-term damage. According to guidelines, a newborn in need of help to start breathing should be resuscitated immediately after birth. Resuscitation activities include stimulating, clearing airways, and perform bag-mask-ventilation. In Norway, approximately 10% of term infants need stimulation and around 3% need bag-mask ventilation.
NewbornTime will produce a timeline describing events and activities performed on a newborn. Accurate time of birth will be detected using AI models from thermal videos collected in the delivery room. Activity recognition will be performed using AI in the form of deep convolutional neural networks (CNN) and transformer networks on thermal and RGB video from the resuscitation. The system will be designed to recognize multiple time-overlapping activities. Care will be given to make the AI models robust, reliable, general, and adaptive to be able to use it at different hospitals and settings. The timelines will be used to evaluate compliance to guidelines and identify successful resuscitation activity patterns. It can further be useful in a de-briefing and quality improvement tool.
The project is a collaboration between University of Stavanger (UiS), Stavanger University Hospital (SUS), Laerdal Medical and bitYoga. UiS, SUS and Laerdal has long experience in collaborative research on newborn care. They have documented promising results on detecting activities using resuscitation videos from a hospital in Tanzania. In NewbornTime the data collection will be performed at SUS. bitYoga and Laerdal will ensure smart GDPR compliant data-contracts and data-platforms. UiS will develop site-adaptive AI methods for activity recognition in video.
This researcher position has two objectives. The main objective and first part is in the topic of event and activity recognition from videos, with especially focusing on making systems adapting to new on-site environments and for further training on new data. Focus will be on adaptive strategies based on unsupervised learning and weakly labelled data. The second part is to develop systems and ML algorithms for automatic interpretation of timelines.
We are looking for applicants with a strong academic background wcho have completed a five-year master degree (3+2) within a relevant discipline.
You must have had the following subjects during your education:
Emphasis will be placed on your:
You must have good command of both oral and written English.
University of Stavanger values independence, involvement and innovation. Diversity is respected and considered a resource in our work and learning environment. Universal design characterises physical and digital learning environments, and we strive to provide reasonable adjustments for employees with disabilities.
You are encouraged to apply regardless of gender, disability or cultural background.
The university aims to recruit more women within the subject area. If several applicants are considered to have equal qualifications, female applicants will be given priority.
More information on the position can be obtained from Professor Kjersti Engan, e-mail: kjersti.engan@uis.no or Associate professor yvind Meinich-Bache, e-mail: oyvind-meinich-bache@uis.no.
Information about the appointment procedure can be obtained from HR advisor Rosa Andrade, tel: +47 51 83 11 91, e-mail: rekruttering@uis.no.
To apply for this position please follow the link "Apply for this job". Your application letter, relevant education and work experience as well as language skills must be registered here.
The following documents must be uploaded as attachments to your application:
Applications are evaluated based on the information available in Jobbnorge on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
The documentation must be available in either a Scandinavian language or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload.
Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25 of the Freedom of Information Act. If your request is not granted, you will be notified.
UiS only considers applications and attachments registered in Jobbnorge.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. If your application is considered to be in conflict with the criteria in the latter legislation, it will be rejected without further assessment.
If you have a Ph.D. degree within the subject area, you can apply for promotion to researcher (code 1109) according to the Regulations for promotion to researcher 1109 in the public sector.
The university's guidelines for appointment and promotion to teaching and research posts, sections
2 and 3.6, provide further discussion of criteria for employment as Researcher.
Your qualifications for the position, based on documentation registered in Jobbnorge, will be assessed by an internal expert committee. Based on the committee's statement, relevant applicants will be invited to an interview before any recommendations are made. References will also be obtained for relevant candidates. More about the hiring process on our website.
UiS has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by its employees, including research results.
It is a prerequisite that you have a residence which enables you to be present at/available to the academic community during ordinary working hours.
The position has been announced in both Norwegian and English. In the case of differences of meaning between the texts, the English text takes precedence.
UiS - challenge the well-known and explore the unknown
The University of Stavanger (UiS) has about 12,000 students and 2,200 employees. The university has high ambitions. We strive to have an innovative and international profile, and be a driving force in knowledge development and in the process of societal change. Our common direction is driven by consideration for green and sustainable change and equitable social development, through new ways of managing natural resources and facilitating better cities and local communities. Energy, health and welfare, learning for life are our focus areas.
In constant collaboration and dialogue with our surroundings, regionally, nationally and internationally, we enjoy an open and creative climate for education, research, innovation, dissemination and museum activities. Academic life at the University of Stavanger is organised into six faculties comprising various departments/schools and National Research Centres, as well as the Museum of Archaeology. We are a member of the European Consortium of Innovative Universities. The university is located in the most attractive region in the country with more than 300,000 inhabitants. The Stavanger region has a dynamic labour market and exciting cultural and leisure activities.
Together with our staff and students we will challenge the well-known and explore the unknown.
The Faculty of Science and Technology offers study programs at bachelor, master and doctoral level. The faculty has established close cooperation on research with NORCE (Norwegian Research Centre AS) and the regional industry. A number of master's and doctoral theses are made in collaboration with the industry. The faculty has established research collaborations with universities in the US and Europe, and has developed several academic environments that are at the forefront internationally.The faculty has about 2,800 students and approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department of Energy and Petroleum Engineering, Department of Energy Resources and the Department of Safety, Economics and Planning.
Department of Electrical Engineering and Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The Department offers a bachelor program in Electrical Engineering and Computer Science, and master programs in Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. In addition, the Department offers a PhD program in the aforementioned areas. There are currently 70 employees, including research fellows and postdocs, and 900 students at the Department.
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