PhD Fellows in Applied Mathematics and Computational Engineering

Deadline: 01.07.2022

UiT The Arctic University of Norway

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.

Faculty of Engineering Science and Technology

The position

Two to three PhD positions is available at the Department of Computer Science and computational engineering, Faculty of Engineering Science and Technology with the research group Simulations.

Each position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD candidate shall participate in the faculty’s organized research training, and the PhD project shall be completed during the period of employment.

The workplace is at UiT in Narvik. You must be able to start in the position within a reasonable time after receiving the offer.

Fields of research

The fields of research are applied and computational mathematics, geometric modelling, application of finite element methods in modelling, multivariate analysis, computational geometry, and additive production. The positions combined cover a wide range of research methods spanning from numerical simulations and practical experiments to development of new methods and algorithms. The scope of the work is application of spline methods for geometric modelling in additive manufacturing technology, representation of 3D model data and analysis-based design. Traditionally, spline-based techniques are used for modelling and simulations while 3D models for printing are represented as triangulations. The limitation in interoperability makes analysis-based design for implementation and manufacturing difficult.

One key activity is related to assembling a tool for analysis-based design applied to additive manufacturing. The proposed framework includes methods that utilize the same tool for modelling, simulations and additive manufacturing, and the development of algorithms for structural improvement of 3D models for additive manufacturing.

Another key activity is numerical control of 3D printers of various kinds, including exploitation of multi-materials and self-support structures. One goal is to identify limitations of standard additive manufacturing technologies with respect to 3D model representations, geometry and topology. This activity is expected to be in a strong connection with the first one, as the research is experimental and intended to provide data for numerical analysis and further confirmation of the new methods.

The purpose of these PhD projects is to investigate methods for mathematical modelling and analysis of additive manufacturing in spline frameworks, and to develop algorithms for guidance and control by combining principles of analysis-based design with numerical control, augmented with machine learning.


The positions are affiliated with the Department of Computer Science and Computational Engineering, and the PhD fellows will be part of the research group Simulations. The department is responsible for study programs at B.Sc., M.Sc., and Ph.D. levels within computer science, applied mathematics and engineering design, with a total of approximately 230 students. The department organizes most of its research activities under research groups by conducting fundamental and applied research in geometric modelling, numerical simulations, programming and visualization, artificial intelligence, machine learning and related areas.


For further information about the positions, please contact:

Associate professor Rune Dalmo, leader of R&D group Simulations:

or Professor Børre Bang, head of institute:


The positions requires a master’s degree in applied computer science or engineering design, with a completed master’s thesis on a relevant topic.

In addition, knowledge and training in some of the following fields are desirable:

  • algorithms and programming
  • numerical methods
  • computational geometry
  • spline theory
  • finite element analysis
  • machine learning
  • artificial intelligence and intelligent agents
  • product design, prototyping, and design process
  • analytical computations
  • material technology
  • scientific calculations
  • dynamical systems
  • CAD/CAM software

Technical skills in C++, Python and GMLib are beneficial. Previous publications on a relevant topic are meritorious.

Applicants must document fluency of in English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. Working knowledge of Norwegian or a Scandinavian language is also beneficial.

In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any other scientific work. In addition, other experience of significance for the completion of the doctoral programme may be given consideration.

We will also emphasize motivation and personal suitability for the position.

As many as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position.

Admission to the PhD programme

For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Engineering 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 of 120 ECTS, or an integrated master's degree of 300 ECTS.
  • A master's thesis with a scope corresponding to at least 30 ECTS for a master's degree of 120 ECTS.
  • A master's thesis with a scope corresponding to at least 20 ECTS for an integrated master's degree of 300 ECTS.

In order to gain admission to the programme, applicants with a background from a Norwegian institution should have a minimum grade of C on their master thesis and a weighted grade average of 3.0 for the last two years of their master programme. A more detailed description of admission requirements can be found here.

Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from NOKUT. Depending on which country the education is from, one or two additional years of university education may be required to fulfil admission requirements, e.g. a 4-year bachelor's degree and a 2-year master's degree.

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.

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.

We offer

  • Involvement in an interesting research project
  • Good career opportunities
  • A good academic environment with dedicated colleagues
  • A large degree of independence in work 
  • Flexible working hours and a state collective pay agreement 
  • Pension scheme through the state pension fund 
  • More practical information for working and living in Norway can be found here: https://uit.no/staffmobility


Your application must include:

  • Cover letter explaining your motivation and research interests
  • CV
  • Diploma for bachelor's and master's degree
  • Transcript of grades/academic record for bachelor's and master's degree
  • Explanation of the grading system for foreign education (Diploma Supplement if available)
  • Documentation of English proficiency
  • 1-3 references with contact information
  • Master’s thesis, and any other academic works

Qualification with a master’s degree is required before commencement in the position. If you are near completion of your master’s degree, you may still apply and submit a draft version of the thesis and a statement from your supervisor or institution indicating when the degree will be obtained. You must still submit your transcripts for the master’s degree with your application.

All documentation to be considered must be in a Scandinavian language or English. Diplomas and transcripts must also be submitted in the original language, if not in English or Scandinavian. We only accept applications and documentation sent via Jobbnorge within the application deadline.

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.

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.

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.

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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