PhD Fellow positions in knowledge-driven Machine Learning at Integreat

Deadline: 04.03.2024

UiT The Arctic University of Norway

UiT The Arctic University of Norway is a multi-campus comprehensive university at the international forefront. Our vision is to be a driving force for developing the High North. The Northern Sami notion eallju, which means eagerness to work, sets the tone for this motive power at UiT. Along with students, staff and the wider community, we aim to utilise our location in Northern Norway and Sápmi, our broad and diverse research and study portfolio and interdisciplinary advantage to shape the future.

Our social mission is to provide research-based education of high quality, perform artistic development and carry out research of the highest international quality standards in the entire range from basic to applied. We will convey knowledge about disciplines and contribute to innovation. Our social mission unites UiT across various studies, research fields and large geographical distances. This demands good cooperation with trade and industry and civil society as well as with international partners. We will strengthen knowledge-based and sustainable development at a regional, national and international level.

Academic freedom and scientific and ethical principles form the basis for all UiT’s activities. Participation, co-determination, transparency and good processes will provide the decision-making basis we need to make wise and far-sighted priorities. Our students and staff will have the opportunity to develop their abilities and potential. Founded on academic integrity, we will be courageous, committed and generous in close contact with disciplines, people and contemporary developments.

We will demonstrate adaptability and seek good and purposeful utilisation of resources, so we are ready to meet the expectations and opportunities of the future. We will strengthen the quality and impact of our disciplines and core tasks through the following three strategic priority areas.

Faculty of Science and Technology

The position

Would you like to take a PhD on knowledge-driven machine learning? Join Integreat, a Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. We offer fulltime positions for a period of three years (or four years with 25% service activity teaching, supervision and/or administrative tasks, depending on the unit of employment). Starting date as soon as possible and upon individual agreement.

The workplace is at UiT in Tromsø for project 3 and project 4. You must be able to start in the position within a reasonable time after receiving the offer.

Advertisement and how to apply

See advertisement and how to apply: 

13 PhD positions in knowledge-driven machine learning (257181) | Integreat -Norwegian Centre for Knowledge-driven Machine Learning (jobbnorge.no)

About Integreat

Integreat – Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Integreat has two branches, one in Oslo (University of Oslo, UiO) and one in Tromsø (UiT The Arctic University of Norway).

Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways.

Focus of Integreat is to develop ground-breaking methods and theories, and therefore solving fundamental problems in science, technology, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science.

Job description

Integreat, the Norwegian centre for knowledge-driven machine learning, is seeking to recruit a group of fulltime PhD students at the University of Oslo and the UiT The Arctic Universityof Norway for thirteen cross-disciplinary projects across machine learning, statistics, logic, language technology and ethics. All 13 projects are ambitious, timely, and contributing to a new foundation of machine learning.

Detailed descriptions of the projects.

Applicants must select and rank up to five projects of interest to them in the application.

As an Integreat PhD Fellow, you will be enrolled in the PhD programme at the University of Oslo (11 projects), or UiT The Arctic University of Norway (2 projects). Place of employment is specified in each project description. Bosch Centre for Artificial Intelligence, Germany is a partner of this call, and will fund and employ candidates for two of the projects. All of the recruited candidates will be part of the Integreat research community and you are expected to participate in the centre’s activities.

You will all join a vibrant community of scientists, from young talents to established researchers, across machine learning, statistics, logic, language technology and ethics. By recruiting a large cohort of young PhD students, Integreat’s aim is to train a community of early career researchers, to become the next generation of scientists of modern knowledge-driven machine learning.

Working language: English.

Applicants are required to review general qualification requirements, project specific requirements, and PhD programme admissions requirements before applying.


For further information about the position, please contact:

General inquiries: 

Inquiries on UiT Tromsø positions, Inger Solheim: inger.solheim@uit.no +47 77 64 44 65

For inquiries regarding specifically a research project, please contact the supervisor named as point of contact in the project description. For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad at University of Oslo: ole.rustad@mn.uio.no.

Inclusion and diversity

UiT The Arctic University of 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 are 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 at 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.

General information 

The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants

Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no.

A shorter period of appointment may be decided when the PhD Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. 

We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure. 

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