UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.
Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.
The position is permanent with a commencement date early 2023. The project has funding to 31.12.2025. It is a prerequisite that the applicant can carry out the project over the full course of the employment period.
The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer.
The position’s affiliation
The Department of Computer Science provides an active international research environment with 28 tenured faculty members, 11 adjunct professors, 11 post doctors and researchers, 10 technical/administrative staff members and about 35 PhD students from different countries
The Health Data Lab (HDL) does interdisciplinary research combining machine learning and experimental computer science with real problems, applications, and data obtained from our biomedical research collaborators. The lab is actively involved in innovation activities including The Digital Technology Lab where we aim to increase the number of technology startups in Tromsø.
The research in the Open Distributed Systems (ODS) group is centered around middleware that facilitates the construction of distributed applications of various kinds, with an emphasis on interoperability and adaptability issues. The group focuses on support for next-generation applications, mobility, composition-based web applications, real-time collaboration, information exchange, analysis of data and a combination of information from multiple sources. Specific issues include adaptability, context-awareness, personalization, semantic-based information management, applied security, privacy, services orchestration, collaborative editing, consistency, and reliability. Recent activities have included IoT and environmentally friendly transportation, personalization, privacy aware computation of user data, and mobile business infrastructures.
The position's field of research
The person hired in this position will do the work for the main deliverables from UiT to the AI4EUROPE project. The main aim of AI4Europe is to support and facilitate a sustainable digital platform and experimentation environment through the creation of open research channels and mechanisms that foster the European AI research ecosystem, academic and industrial, and that maximises the academic, social, and industrial impact while it seamlessly integrates other projects, platforms, and solutions.
The main activities in AI4EUROPE for UiT are in two work packages. First, in integration of tools and services to support the AI research community we will build tools for research collaboration, reproducible research, and responsible research. In addition, we will engage with the AI researchers that will use these tools. Second, in the AI supportive physical environments work package, we will enable the use of Cloud Computing resources support for the developed tools, including on 5G based edge devices. We also contribute to the development of a decentralized architecture for an open AI community by integrating and supporting the use of the developed services and software packages.
The positions field of research is therefore the development of infrastructure systems to support novel AI research methods, and to enable the use of Norwegian public datasets in AI research. This includes: (i) the development of abstraction, data structures, and interfaces to enable easy and powerful interactive analyses in a notebook environment; (ii) development of an approach to integrate datasets, and machine learning models trained on datasets, from many Norwegian and European sources; (iii) and the application of MLOps best practices to ensure reproducible analyses and to monitor adherence to responsible research guidelines. In addition, the research will build novel systems for using 5G edge devices to develop and deploy AI solutions.
Further information about the position is available by contacting:
An appointment as Researcher (code 1109) requires a Norwegian doctoral degree in computer science, or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree.
The successful applicant has a publication record that document solid expertise in experimental computer science, and strong technical skills. We are looking for applicants with a strong interest in building the infrastructure needed for the upcoming AI methods. Previous experience in systems development, data management, networking, and applied machine learning is therefore considered an advantage. It is also beneficial if the applicant has an interest and previous experience in collaboration with inter-disciplinary or industrial collaboration. The applicants should have demonstrated increased scientific maturity in their selection of issues, application of methods, and documentation of results. Research results should be backed by thorough experiments and analysis.
If no suitable candidate with a PhD is identified through this call for an 1109 Researcher, we might consider hiring excellent candidates not yet obtained a PhD, in an 1108 Researcher position.
An appointment as 1108 Researcher requires:
Master’s degree ’in computer science or equivalent from a university or a university college
Relevant research qualifications above the level of a master’s degree and/or relevant professional practice
Applicants should have a good command in English.
During the assessment emphasis will be put on the candidate’s motivation, potential for research, and personal suitability for the position.
We are looking for candidates who:
Have good collaboration skills
Have good communication and interaction with colleagues and students
Wants to contribute to a good working environment
At UiT we put emphasis on the quality, relevance and significance of the research work and not on where the work is published, in accordance with the principles of The San Francisco Declaration on Research Assessment (DORA).
Inclusion and diversity
UiT The Arctic University i Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity is a strength, and we want employees with different competencies, professional experience, life experience and perspectives.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
An exciting international academic environment with dedicated colleagues
Flexible working hours and a state collective pay agreement
Pension scheme through the state pension fund
The possibility to balance professional development with a location to experience the liberating arctic nature: ski under the northern lights, hike and bike along the fjords
Norwegian health policy aims to ensure that everyone has access to good health services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services.
More practical information for working and living in Norway can be found here.
Your application must include:
Letter of application
1 page summary of your motivation for applying for this position and possible research methods and directions to solve the problems to be addressed in the project
CV (A complete overview of education, supervised professional training and professional experience, list of scientific publications)
Diplomas and transcripts (all academic degrees)
Contact information to 2-3 references
Documentation of teaching experience and qualifications, if applicable
Description of your academic production, stating which works you consider most important. A brief description of the other listed works should also be included to demonstrate breadth of production. These descriptions shall be an attachment to the application.
Academic works, up to five. The doctoral thesis is regarded as one work.
All documentation to be considered must be in a Scandinavian language or English. We only accept applications and documentation sent via Jobbnorge within the application deadline.
The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications based on the written material presented by the applicants, and the detailed description draw up for the position.
The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim to clarify the applicant’s motivation and personal suitability for the position. A trial lecture may also be held.
UiT wishes to increase the proportion of females in academic positions. In cases where two or more applicants are found to be approximately equally qualified, female applicants will be given priority.
The working hours shall primarily be utilized for research, research-related activities and research administration. The researcher is expected to participate professionally within the department, and can be assigned to teaching, teaching related work, supervision of students, presentations for faculty and students, laboratory assignments etc, in an amount equivalent up to 25% of the position.
The remuneration for Researcher is in accordance with the State salary scale code 1009 or salary scale code 1108 based on qualifications. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted.
The successful candidate must be willing to get involved in the ongoing development of their department and the university as a whole.
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.