13 PhD positions in knowledge-driven machine learning, University of Oslo, Norway, Europe

The University of Oslo, Norway, Europe

Last Date: 4th March 2024.

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. 

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 University of 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. 

PhD projects 

Available PhD projects are listed below. Links include a scientific description, the team of supervisors and specific qualification requirements.

Qualification requirements

Integreat aims at recruiting independent, motivated, and highly talented students, who have a master’s degree, or are in the finalising phase of writing their master thesis. Candidates without a master’s degree must complete the final exam of their master studies by 30 June 2024.

Qualification requirements include general and project specific. Apply only for up to five projects where you fully satisfy all requirements (general, project specific and the PhD programme admission requirements).

Required qualifications for all applicants: 

  • Obtained a master’s degree (total 120 ECTS) or currently working on finalising their master thesis (at least 30 ECTS) in an area relevant to Integreat, or a foreign degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Candidates without a master’s degree must complete the final exam of their master studies by 30 June 2024.
  • Research interest in knowledge-driven machine learning, in at least one of its contributing fields of statistics, logic, language technologies, ethics, or machine learning.
  • Excellent oral and written skills in English.

Project specific requirements:

Each project has specific requirements, in addition to the general ones stated above. These are obligatory. Review project specific requirements in the detailed descriptions of the projects. 

Grade requirements for admission to PhD programmes

Applicants must have good academic records to be enrolled as PhD Fellows at UiO and UiT: 

  • The average grade point for courses included in the bachelor’s degree must be C or better (scale of the Norwegian educational system).  

For University of Oslo projects

  • The average grade point for courses included in the master’s degree must be B or better in the Norwegian educational system. The master´s thesis must have the grade B or better in the Norwegian educational system, also for theses submitted after the deadline of this call. 

For UiT The Arctic University of Norway projects

  • A bachelor’s degree of 180 ECTS and a master’s degree, or an integrated master’s degree. UiT normally accepts higher education from countries that are part of the Lisbon Recognition Convention. To gain admission to the PhD programme, the applicant must have a grade point average of C or better for the master’s degree and for relevant subjects of the bachelor’s degree. A more detailed description of admission requirements can be found here.

Further information on admission requirements to PhD programmes

All fellowships require admission to the PhD programme at the unit of employment. For the Bosch positions, PhD fellows are required to follow the PhD programme at the University of Oslo, Faculty of Mathematics and Natural Sciences.

University of Oslo

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences or the Faculty of Medicine, depending on the project and unit of employment. The application to the PhD programme must be submitted to the respective department no later than two months after taking up the position.

For more information see:

UiT The Arctic University of Norway

For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and Technology, and participate in organized doctoral studies within the employment period.

Admission normally requires:

  • A bachelor’s degree of 180 ECTS and a master’s degree, or an integrated master’s degree.

UiT normally accepts higher education from countries that are part of the Lisbon Recognition Convention.

In order to gain admission to the programme, the applicant must have a grade point average of C or better for the master’s degree and for relevant subjects of the bachelor’s degree. A more detailed description of admission requirements can be found here.

If you are employed in the position, you will be provisionally admitted to the PhD programme. Application for final admission must be submitted no later than two months after taking up the position.

Personal skills

We seek candidates who:

  • Are highly motivated, open-minded, academically strong, creative, and curious.  
  • Have the ability to work independently, as well as in a team environment.  
  • Have strong analytical and problem-solving abilities.  
  • Have strong written and verbal communication skills. 

In assessing the candidates, particular emphasis will be placed on academic qualifications, the candidates’ fit within the overall research programme, and personal motivation to proceed a PhD on the selected project within Integreat. 

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